Articles | Volume 18, issue 13
https://doi.org/10.5194/acp-18-9975-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-9975-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Jul 2018
Research article |
| 13 Jul 2018
Aerosol and physical atmosphere model parameters are both important sources of uncertainty in aerosol ERF
Leighton A. Regayre
CORRESPONDING AUTHOR
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
Jill S. Johnson
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
Masaru Yoshioka
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
Kirsty J. Pringle
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
David M. H. Sexton
UK Hadley Centre Met Office, Exeter, Fitzroy Road, Exeter, Devon, EX1 3PB, UK
Ben B. B. Booth
UK Hadley Centre Met Office, Exeter, Fitzroy Road, Exeter, Devon, EX1 3PB, UK
Lindsay A. Lee
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
Nicolas Bellouin
Department of Meteorology, School of Mathematical & Physical Sciences, Faculty of Science,University of Reading, Reading, RG6 6BB, UK
Kenneth S. Carslaw
Institute for Climate and Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
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Shipra Jain, Ruth M. Doherty, David Sexton, Steven Turnock, Chaofan Li, Zixuan Jia, Zongbo Shi, and Lin Pei
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We provide a range of future projections of winter haze and clear conditions over the North China Plain (NCP) using multiple simulations from a climate model for the high-emission scenario (RCP8.5). The frequency of haze conducive weather is likely to increase whereas the frequency of clear weather is likely to decrease in future. The total number of hazy days for a given winter can be as much as ˜3.5 times higher than the number of clear days over the NCP.
Pierre Friedlingstein, Matthew W. Jones, Michael O'Sullivan, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Corinne Le Quéré, Glen P. Peters, Wouter Peters, Julia Pongratz, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Rob B. Jackson, Simone R. Alin, Peter Anthoni, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Laurent Bopp, Thi Tuyet Trang Chau, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Kim I. Currie, Bertrand Decharme, Laique M. Djeutchouang, Xinyu Dou, Wiley Evans, Richard A. Feely, Liang Feng, Thomas Gasser, Dennis Gilfillan, Thanos Gkritzalis, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Özgür Gürses, Ian Harris, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Ingrid T. Luijkx, Atul Jain, Steve D. Jones, Etsushi Kato, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Arne Körtzinger, Peter Landschützer, Siv K. Lauvset, Nathalie Lefèvre, Sebastian Lienert, Junjie Liu, Gregg Marland, Patrick C. McGuire, Joe R. Melton, David R. Munro, Julia E. M. S. Nabel, Shin-Ichiro Nakaoka, Yosuke Niwa, Tsuneo Ono, Denis Pierrot, Benjamin Poulter, Gregor Rehder, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Thais M. Rosan, Jörg Schwinger, Clemens Schwingshackl, Roland Séférian, Adrienne J. Sutton, Colm Sweeney, Toste Tanhua, Pieter P. Tans, Hanqin Tian, Bronte Tilbrook, Francesco Tubiello, Guido R. van der Werf, Nicolas Vuichard, Chisato Wada, Rik Wanninkhof, Andrew J. Watson, David Willis, Andrew J. Wiltshire, Wenping Yuan, Chao Yue, Xu Yue, Sönke Zaehle, and Jiye Zeng
Earth Syst. Sci. Data, 14, 1917–2005, https://doi.org/10.5194/essd-14-1917-2022, https://doi.org/10.5194/essd-14-1917-2022, 2022
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The Global Carbon Budget 2021 describes the data sets and methodology used to quantify the emissions of carbon dioxide and their partitioning among the atmosphere, land, and ocean. These living data are updated every year to provide the highest transparency and traceability in the reporting of CO2, the key driver of climate change.
Jie Zhang, Kalli Furtado, Steven T. Turnock, Jane P. Mulcahy, Laura J. Wilcox, Ben B. Booth, David Sexton, Tongwen Wu, Fang Zhang, and Qianxia Liu
Atmos. Chem. Phys., 21, 18609–18627, https://doi.org/10.5194/acp-21-18609-2021, https://doi.org/10.5194/acp-21-18609-2021, 2021
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The CMIP6 ESMs systematically underestimate TAS anomalies in the NH midlatitudes, especially from 1960 to 1990. The anomalous cooling is concurrent in time and space with anthropogenic SO2 emissions. The spurious drop in TAS is attributed to the overestimated aerosol concentrations. The aerosol forcing sensitivity cannot well explain the inter-model spread of PHC biases. And the cloud-amount term accounts for most of the inter-model spread in aerosol forcing sensitivity.
Rachel E. Hawker, Annette K. Miltenberger, Jill S. Johnson, Jonathan M. Wilkinson, Adrian A. Hill, Ben J. Shipway, Paul R. Field, Benjamin J. Murray, and Ken S. Carslaw
Atmos. Chem. Phys., 21, 17315–17343, https://doi.org/10.5194/acp-21-17315-2021, https://doi.org/10.5194/acp-21-17315-2021, 2021
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We find that ice-nucleating particles (INPs), aerosols that can initiate the freezing of cloud droplets, cause substantial changes to the properties of radiatively important convectively generated anvil cirrus. The number concentration of INPs had a large effect on ice crystal number concentration while the INP temperature dependence controlled ice crystal size and cloud fraction. The results indicate information on INP number and source is necessary for the representation of cloud glaciation.
Heather Guy, Ian M. Brooks, Ken S. Carslaw, Benjamin J. Murray, Von P. Walden, Matthew D. Shupe, Claire Pettersen, David D. Turner, Christopher J. Cox, William D. Neff, Ralf Bennartz, and Ryan R. Neely III
Atmos. Chem. Phys., 21, 15351–15374, https://doi.org/10.5194/acp-21-15351-2021, https://doi.org/10.5194/acp-21-15351-2021, 2021
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We present the first full year of surface aerosol number concentration measurements from the central Greenland Ice Sheet. Aerosol concentrations here have a distinct seasonal cycle from those at lower-altitude Arctic sites, which is driven by large-scale atmospheric circulation. Our results can be used to help understand the role aerosols might play in Greenland surface melt through the modification of cloud properties. This is crucial in a rapidly changing region where observations are sparse.
Mao Xiao, Christopher R. Hoyle, Lubna Dada, Dominik Stolzenburg, Andreas Kürten, Mingyi Wang, Houssni Lamkaddam, Olga Garmash, Bernhard Mentler, Ugo Molteni, Andrea Baccarini, Mario Simon, Xu-Cheng He, Katrianne Lehtipalo, Lauri R. Ahonen, Rima Baalbaki, Paulus S. Bauer, Lisa Beck, David Bell, Federico Bianchi, Sophia Brilke, Dexian Chen, Randall Chiu, António Dias, Jonathan Duplissy, Henning Finkenzeller, Hamish Gordon, Victoria Hofbauer, Changhyuk Kim, Theodore K. Koenig, Janne Lampilahti, Chuan Ping Lee, Zijun Li, Huajun Mai, Vladimir Makhmutov, Hanna E. Manninen, Ruby Marten, Serge Mathot, Roy L. Mauldin, Wei Nie, Antti Onnela, Eva Partoll, Tuukka Petäjä, Joschka Pfeifer, Veronika Pospisilova, Lauriane L. J. Quéléver, Matti Rissanen, Siegfried Schobesberger, Simone Schuchmann, Yuri Stozhkov, Christian Tauber, Yee Jun Tham, António Tomé, Miguel Vazquez-Pufleau, Andrea C. Wagner, Robert Wagner, Yonghong Wang, Lena Weitz, Daniela Wimmer, Yusheng Wu, Chao Yan, Penglin Ye, Qing Ye, Qiaozhi Zha, Xueqin Zhou, Antonio Amorim, Ken Carslaw, Joachim Curtius, Armin Hansel, Rainer Volkamer, Paul M. Winkler, Richard C. Flagan, Markku Kulmala, Douglas R. Worsnop, Jasper Kirkby, Neil M. Donahue, Urs Baltensperger, Imad El Haddad, and Josef Dommen
Atmos. Chem. Phys., 21, 14275–14291, https://doi.org/10.5194/acp-21-14275-2021, https://doi.org/10.5194/acp-21-14275-2021, 2021
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Experiments at CLOUD show that in polluted environments new particle formation (NPF) is largely driven by the formation of sulfuric acid–base clusters, stabilized by amines, high ammonia concentrations or lower temperatures. While oxidation products of aromatics can nucleate, they play a minor role in urban NPF. Our experiments span 4 orders of magnitude variation of observed NPF rates in ambient conditions. We provide a framework based on NPF and growth rates to interpret ambient observations.
Benjamin M. Sanderson, Angeline G. Pendergrass, Charles D. Koven, Florent Brient, Ben B. B. Booth, Rosie A. Fisher, and Reto Knutti
Earth Syst. Dynam., 12, 899–918, https://doi.org/10.5194/esd-12-899-2021, https://doi.org/10.5194/esd-12-899-2021, 2021
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Emergent constraints promise a pathway to the reduction in climate projection uncertainties by exploiting ensemble relationships between observable quantities and unknown climate response parameters. This study considers the robustness of these relationships in light of biases and common simplifications that may be present in the original ensemble of climate simulations. We propose a classification scheme for constraints and a number of practical case studies.
Ramiro Checa-Garcia, Yves Balkanski, Samuel Albani, Tommi Bergman, Ken Carslaw, Anne Cozic, Chris Dearden, Beatrice Marticorena, Martine Michou, Twan van Noije, Pierre Nabat, Fiona M. O'Connor, Dirk Olivié, Joseph M. Prospero, Philippe Le Sager, Michael Schulz, and Catherine Scott
Atmos. Chem. Phys., 21, 10295–10335, https://doi.org/10.5194/acp-21-10295-2021, https://doi.org/10.5194/acp-21-10295-2021, 2021
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Thousands of tons of dust are emitted into the atmosphere every year, producing important impacts on the Earth system. However, current global climate models are not yet able to reproduce dust emissions, transport and depositions with the desirable accuracy. Our study analyses five different Earth system models to report aspects to be improved to reproduce better available observations, increase the consistency between models and therefore decrease the current uncertainties.
Yuan Zhang, Olivier Boucher, Philippe Ciais, Laurent Li, and Nicolas Bellouin
Geosci. Model Dev., 14, 2029–2039, https://doi.org/10.5194/gmd-14-2029-2021, https://doi.org/10.5194/gmd-14-2029-2021, 2021
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We investigated different methods to reconstruct spatiotemporal distribution of the fraction of diffuse radiation (Fdf) to qualify the aerosol impacts on GPP using the ORCHIDEE_DF land surface model. We find that climatological-averaging methods which dampen the variability of Fdf can cause significant bias in the modeled diffuse radiation impacts on GPP. Better methods to reconstruct Fdf are recommended.
Rachel E. Hawker, Annette K. Miltenberger, Jonathan M. Wilkinson, Adrian A. Hill, Ben J. Shipway, Zhiqiang Cui, Richard J. Cotton, Ken S. Carslaw, Paul R. Field, and Benjamin J. Murray
Atmos. Chem. Phys., 21, 5439–5461, https://doi.org/10.5194/acp-21-5439-2021, https://doi.org/10.5194/acp-21-5439-2021, 2021
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The impact of aerosols on clouds is a large source of uncertainty for future climate projections. Our results show that the radiative properties of a complex convective cloud field in the Saharan outflow region are sensitive to the temperature dependence of ice-nucleating particle concentrations. This means that differences in the aerosol source or composition, for the same aerosol size distribution, can cause differences in the outgoing radiation from regions dominated by tropical convection.
Ananth Ranjithkumar, Hamish Gordon, Christina Williamson, Andrew Rollins, Kirsty Pringle, Agnieszka Kupc, Nathan Luke Abraham, Charles Brock, and Ken Carslaw
Atmos. Chem. Phys., 21, 4979–5014, https://doi.org/10.5194/acp-21-4979-2021, https://doi.org/10.5194/acp-21-4979-2021, 2021
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The effect aerosols have on climate can be better understood by studying their vertical and spatial distribution throughout the atmosphere. We use observation data from the ATom campaign and evaluate the vertical profile of aerosol number concentration, sulfur dioxide and condensation sink using the UKESM (UK Earth System Model). We identify uncertainties in key atmospheric processes that help improve their theoretical representation in global climate models.
Kamalika Sengupta, Kirsty Pringle, Jill S. Johnson, Carly Reddington, Jo Browse, Catherine E. Scott, and Ken Carslaw
Atmos. Chem. Phys., 21, 2693–2723, https://doi.org/10.5194/acp-21-2693-2021, https://doi.org/10.5194/acp-21-2693-2021, 2021
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Global models consistently underestimate atmospheric secondary organic aerosol (SOA), which has significant climatic implications. We use a perturbed parameter model ensemble and ground-based observations to reduce the uncertainty in modelling SOA formation from oxidation of volatile organic compounds. We identify plausible parameter spaces for the yields of extremely low-volatility, low-volatility, and semi-volatile organic compounds based on model–observation match for three key model outputs.
Jim M. Haywood, Steven J. Abel, Paul A. Barrett, Nicolas Bellouin, Alan Blyth, Keith N. Bower, Melissa Brooks, Ken Carslaw, Haochi Che, Hugh Coe, Michael I. Cotterell, Ian Crawford, Zhiqiang Cui, Nicholas Davies, Beth Dingley, Paul Field, Paola Formenti, Hamish Gordon, Martin de Graaf, Ross Herbert, Ben Johnson, Anthony C. Jones, Justin M. Langridge, Florent Malavelle, Daniel G. Partridge, Fanny Peers, Jens Redemann, Philip Stier, Kate Szpek, Jonathan W. Taylor, Duncan Watson-Parris, Robert Wood, Huihui Wu, and Paquita Zuidema
Atmos. Chem. Phys., 21, 1049–1084, https://doi.org/10.5194/acp-21-1049-2021, https://doi.org/10.5194/acp-21-1049-2021, 2021
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Every year, the seasonal cycle of biomass burning from agricultural practices in Africa creates a huge plume of smoke that travels many thousands of kilometres over the Atlantic Ocean. This study provides an overview of a measurement campaign called the cloud–aerosol–radiation interaction and forcing for year 2017 (CLARIFY-2017) and documents the rationale, deployment strategy, observations, and key results from the campaign which utilized the heavily equipped FAAM atmospheric research aircraft.
Benjamin J. Murray, Kenneth S. Carslaw, and Paul R. Field
Atmos. Chem. Phys., 21, 665–679, https://doi.org/10.5194/acp-21-665-2021, https://doi.org/10.5194/acp-21-665-2021, 2021
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The balance between the amounts of ice and supercooled water in clouds over the world's oceans strongly influences how much these clouds can dampen or amplify global warming. Aerosol particles which catalyse ice formation can dramatically reduce the amount of supercooled water in clouds; hence we argue that we need a concerted effort to improve our understanding of these ice-nucleating particles if we are to improve our predictions of climate change.
Jane P. Mulcahy, Colin Johnson, Colin G. Jones, Adam C. Povey, Catherine E. Scott, Alistair Sellar, Steven T. Turnock, Matthew T. Woodhouse, Nathan Luke Abraham, Martin B. Andrews, Nicolas Bellouin, Jo Browse, Ken S. Carslaw, Mohit Dalvi, Gerd A. Folberth, Matthew Glover, Daniel P. Grosvenor, Catherine Hardacre, Richard Hill, Ben Johnson, Andy Jones, Zak Kipling, Graham Mann, James Mollard, Fiona M. O'Connor, Julien Palmiéri, Carly Reddington, Steven T. Rumbold, Mark Richardson, Nick A. J. Schutgens, Philip Stier, Marc Stringer, Yongming Tang, Jeremy Walton, Stephanie Woodward, and Andrew Yool
Geosci. Model Dev., 13, 6383–6423, https://doi.org/10.5194/gmd-13-6383-2020, https://doi.org/10.5194/gmd-13-6383-2020, 2020
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Aerosols are an important component of the Earth system. Here, we comprehensively document and evaluate the aerosol schemes as implemented in the physical and Earth system models, HadGEM3-GC3.1 and UKESM1. This study provides a useful characterisation of the aerosol climatology in both models, facilitating the understanding of the numerous aerosol–climate interaction studies that will be conducted for CMIP6 and beyond.
Daniel P. Grosvenor and Kenneth S. Carslaw
Atmos. Chem. Phys., 20, 15681–15724, https://doi.org/10.5194/acp-20-15681-2020, https://doi.org/10.5194/acp-20-15681-2020, 2020
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Particles arising from human activity interact with clouds and affect how much of the Sun's energy is reflected away. Lack of understanding about how to represent this in models leads to large uncertainties in climate predictions. We quantify cloud responses to particles in the latest UK Met Office climate model over the North Atlantic Ocean, showing that, in contrast to suggestions elsewhere, increases in cloud coverage and thickness are important over large areas.
Sandip S. Dhomse, Graham W. Mann, Juan Carlos Antuña Marrero, Sarah E. Shallcross, Martyn P. Chipperfield, Kenneth S. Carslaw, Lauren Marshall, N. Luke Abraham, and Colin E. Johnson
Atmos. Chem. Phys., 20, 13627–13654, https://doi.org/10.5194/acp-20-13627-2020, https://doi.org/10.5194/acp-20-13627-2020, 2020
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We confirm downward adjustment of SO2 emission to simulate the Pinatubo aerosol cloud with aerosol microphysics models. Similar adjustment is also needed to simulate the El Chichón and Agung volcanic cloud, indicating potential missing removal or vertical redistribution process in models. Important inhomogeneities in the CMIP6 forcing datasets after Agung and El Chichón eruptions are difficult to reconcile. Quasi-biennial oscillation plays an important role in modifying stratospheric warming.
Hamish Gordon, Paul R. Field, Steven J. Abel, Paul Barrett, Keith Bower, Ian Crawford, Zhiqiang Cui, Daniel P. Grosvenor, Adrian A. Hill, Jonathan Taylor, Jonathan Wilkinson, Huihui Wu, and Ken S. Carslaw
Atmos. Chem. Phys., 20, 10997–11024, https://doi.org/10.5194/acp-20-10997-2020, https://doi.org/10.5194/acp-20-10997-2020, 2020
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The Met Office's Unified Model is widely used both for weather forecasting and climate prediction. We present the first version of the model in which both aerosol and cloud particle mass and number concentrations are allowed to evolve separately and independently, which is important for studying how aerosols affect weather and climate. We test the model against aircraft observations near Ascension Island in the Atlantic, focusing on how aerosols can "activate" to become cloud droplets.
Marco Cucchi, Graham P. Weedon, Alessandro Amici, Nicolas Bellouin, Stefan Lange, Hannes Müller Schmied, Hans Hersbach, and Carlo Buontempo
Earth Syst. Sci. Data, 12, 2097–2120, https://doi.org/10.5194/essd-12-2097-2020, https://doi.org/10.5194/essd-12-2097-2020, 2020
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WFDE5 is a novel meteorological forcing dataset for running land surface and global hydrological models. It has been generated using the WATCH Forcing Data methodology applied to surface meteorological variables from the ERA5 reanalysis. It is publicly available, along with its source code, through the C3S Climate Data Store at ECMWF. Results of the evaluations described in the paper highlight the benefits of using WFDE5 compared to both ERA5 and its predecessor WFDEI.
Leighton A. Regayre, Julia Schmale, Jill S. Johnson, Christian Tatzelt, Andrea Baccarini, Silvia Henning, Masaru Yoshioka, Frank Stratmann, Martin Gysel-Beer, Daniel P. Grosvenor, and Ken S. Carslaw
Atmos. Chem. Phys., 20, 10063–10072, https://doi.org/10.5194/acp-20-10063-2020, https://doi.org/10.5194/acp-20-10063-2020, 2020
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The amount of energy reflected back into space because of man-made particles is highly uncertain. Processes related to naturally occurring particles cause most of the uncertainty, but these processes are poorly constrained by present-day measurements. We show that measurements over the Southern Ocean, far from pollution sources, efficiently reduce climate model uncertainties. Our results pave the way to designing experiments and measurement campaigns that reduce this uncertainty even further.
Jill S. Johnson, Leighton A. Regayre, Masaru Yoshioka, Kirsty J. Pringle, Steven T. Turnock, Jo Browse, David M. H. Sexton, John W. Rostron, Nick A. J. Schutgens, Daniel G. Partridge, Dantong Liu, James D. Allan, Hugh Coe, Aijun Ding, David D. Cohen, Armand Atanacio, Ville Vakkari, Eija Asmi, and Ken S. Carslaw
Atmos. Chem. Phys., 20, 9491–9524, https://doi.org/10.5194/acp-20-9491-2020, https://doi.org/10.5194/acp-20-9491-2020, 2020
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We use over 9000 monthly aggregated grid-box measurements of aerosol to constrain the uncertainty in the HadGEM3-UKCA climate model. Measurements of AOD, PM2.5, particle number concentrations, sulfate and organic mass concentrations are compared to 1 million
variantsof the model using an implausibility metric. Despite many compensating effects in the model, the procedure constrains the probability distributions of many parameters, and direct radiative forcing uncertainty is reduced by 34 %.
Gunnar Myhre, Bjørn H. Samset, Christian W. Mohr, Kari Alterskjær, Yves Balkanski, Nicolas Bellouin, Mian Chin, James Haywood, Øivind Hodnebrog, Stefan Kinne, Guangxing Lin, Marianne T. Lund, Joyce E. Penner, Michael Schulz, Nick Schutgens, Ragnhild B. Skeie, Philip Stier, Toshihiko Takemura, and Kai Zhang
Atmos. Chem. Phys., 20, 8855–8865, https://doi.org/10.5194/acp-20-8855-2020, https://doi.org/10.5194/acp-20-8855-2020, 2020
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The radiative forcing of the direct aerosol effects can be decomposed into clear-sky and cloudy-sky portions. In this study we use observational methods and two sets of multi-model global aerosol simulations over the industrial era to show that the contribution from cloudy-sky regions is likely weak.
Nicolas Bellouin, Will Davies, Keith P. Shine, Johannes Quaas, Johannes Mülmenstädt, Piers M. Forster, Chris Smith, Lindsay Lee, Leighton Regayre, Guy Brasseur, Natalia Sudarchikova, Idir Bouarar, Olivier Boucher, and Gunnar Myhre
Earth Syst. Sci. Data, 12, 1649–1677, https://doi.org/10.5194/essd-12-1649-2020, https://doi.org/10.5194/essd-12-1649-2020, 2020
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Quantifying the imbalance in the Earth's energy budget caused by human activities is important to understand and predict climate changes. This study presents new estimates of the imbalance caused by changes in atmospheric concentrations of carbon dioxide, methane, ozone, and particles of pollution. Over the period 2003–2017, the overall imbalance has been positive, indicating that the climate system has gained energy and will warm further.
Dominik Stolzenburg, Mario Simon, Ananth Ranjithkumar, Andreas Kürten, Katrianne Lehtipalo, Hamish Gordon, Sebastian Ehrhart, Henning Finkenzeller, Lukas Pichelstorfer, Tuomo Nieminen, Xu-Cheng He, Sophia Brilke, Mao Xiao, António Amorim, Rima Baalbaki, Andrea Baccarini, Lisa Beck, Steffen Bräkling, Lucía Caudillo Murillo, Dexian Chen, Biwu Chu, Lubna Dada, António Dias, Josef Dommen, Jonathan Duplissy, Imad El Haddad, Lukas Fischer, Loic Gonzalez Carracedo, Martin Heinritzi, Changhyuk Kim, Theodore K. Koenig, Weimeng Kong, Houssni Lamkaddam, Chuan Ping Lee, Markus Leiminger, Zijun Li, Vladimir Makhmutov, Hanna E. Manninen, Guillaume Marie, Ruby Marten, Tatjana Müller, Wei Nie, Eva Partoll, Tuukka Petäjä, Joschka Pfeifer, Maxim Philippov, Matti P. Rissanen, Birte Rörup, Siegfried Schobesberger, Simone Schuchmann, Jiali Shen, Mikko Sipilä, Gerhard Steiner, Yuri Stozhkov, Christian Tauber, Yee Jun Tham, António Tomé, Miguel Vazquez-Pufleau, Andrea C. Wagner, Mingyi Wang, Yonghong Wang, Stefan K. Weber, Daniela Wimmer, Peter J. Wlasits, Yusheng Wu, Qing Ye, Marcel Zauner-Wieczorek, Urs Baltensperger, Kenneth S. Carslaw, Joachim Curtius, Neil M. Donahue, Richard C. Flagan, Armin Hansel, Markku Kulmala, Jos Lelieveld, Rainer Volkamer, Jasper Kirkby, and Paul M. Winkler
Atmos. Chem. Phys., 20, 7359–7372, https://doi.org/10.5194/acp-20-7359-2020, https://doi.org/10.5194/acp-20-7359-2020, 2020
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Sulfuric acid is a major atmospheric vapour for aerosol formation. If new particles grow fast enough, they can act as cloud droplet seeds or affect air quality. In a controlled laboratory set-up, we demonstrate that van der Waals forces enhance growth from sulfuric acid. We disentangle the effects of ammonia, ions and particle hydration, presenting a complete picture of sulfuric acid growth from molecular clusters onwards. In a climate model, we show its influence on the global aerosol budget.
Doug McNeall, Jonny Williams, Richard Betts, Ben Booth, Peter Challenor, Peter Good, and Andy Wiltshire
Geosci. Model Dev., 13, 2487–2509, https://doi.org/10.5194/gmd-13-2487-2020, https://doi.org/10.5194/gmd-13-2487-2020, 2020
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In the climate model FAMOUS, matching the modelled Amazon rainforest to observations required different land surface parameter settings than for other forests. It was unclear if this discrepancy was due to a bias in the modelled climate or an error in the land surface component of the model. Correcting the climate of the model with a statistical model corrects the simulation of the Amazon forest, suggesting that the land surface component of the model is not the source of the discrepancy.
Oliver Wild, Apostolos Voulgarakis, Fiona O'Connor, Jean-François Lamarque, Edmund M. Ryan, and Lindsay Lee
Atmos. Chem. Phys., 20, 4047–4058, https://doi.org/10.5194/acp-20-4047-2020, https://doi.org/10.5194/acp-20-4047-2020, 2020
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Global models of tropospheric chemistry and transport show a persistent diversity in results that has not been fully explained. We demonstrate the first use of global sensitivity analysis consistently across three independent models to explore these differences and reveal both clear similarities and surprising differences which have important implications for our assessment of future atmospheric composition change.
Constanze Wellmann, Andrew I. Barrett, Jill S. Johnson, Michael Kunz, Bernhard Vogel, Ken S. Carslaw, and Corinna Hoose
Atmos. Chem. Phys., 20, 2201–2219, https://doi.org/10.5194/acp-20-2201-2020, https://doi.org/10.5194/acp-20-2201-2020, 2020
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Severe hailstorms may cause damage to buildings and crops. Thus, the forecast of numerical weather prediction (NWP) models should be as reliable as possible.
Using statistical emulation, we identify those model input parameters describing environmental conditions and cloud microphysics which lead to large uncertainties in the prediction of deep convection. We find that the impact of the input parameters on the uncertainty depends on the considered output variable.
Ross J. Herbert, Nicolas Bellouin, Ellie J. Highwood, and Adrian A. Hill
Atmos. Chem. Phys., 20, 1317–1340, https://doi.org/10.5194/acp-20-1317-2020, https://doi.org/10.5194/acp-20-1317-2020, 2020
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Marine stratocumulus clouds cover large regions of the ocean and act to cool the climate. We use high-resolution simulations to understand how observed layers of elevated smoke impact stratocumulus via the solar heating that occurs within the smoke layer. We find that the cloud response is strongest for thin, dense layers of smoke close to the cloud. The response rapidly weakens as the cloud-to-smoke gap increases. Generally, the smoke acts to thicken clouds and enhance their cooling effect.
Duncan Watson-Parris, Nick Schutgens, Carly Reddington, Kirsty J. Pringle, Dantong Liu, James D. Allan, Hugh Coe, Ken S. Carslaw, and Philip Stier
Atmos. Chem. Phys., 19, 11765–11790, https://doi.org/10.5194/acp-19-11765-2019, https://doi.org/10.5194/acp-19-11765-2019, 2019
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The vertical distribution of aerosol in the atmosphere affects its ability to act as cloud condensation nuclei and changes the amount of sunlight it absorbs or reflects. Common global measurements of aerosol provide no information about this vertical distribution. Using a global collection of in situ aircraft measurements to compare with an aerosol–climate model (ECHAM-HAM), we explore the key processes controlling this distribution and find that wet removal plays a key role.
Franziska Glassmeier, Fabian Hoffmann, Jill S. Johnson, Takanobu Yamaguchi, Ken S. Carslaw, and Graham Feingold
Atmos. Chem. Phys., 19, 10191–10203, https://doi.org/10.5194/acp-19-10191-2019, https://doi.org/10.5194/acp-19-10191-2019, 2019
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The climatic relevance of aerosol–cloud interactions depends on the sensitivity of the radiative effect of clouds to certain cloud properties. We derive the dependence of cloud fraction, cloud albedo, and the relative cloud radiative effect on the number of cloud droplets and on liquid water path from a large set of detailed simulations of stratocumulus clouds.
George S. Fanourgakis, Maria Kanakidou, Athanasios Nenes, Susanne E. Bauer, Tommi Bergman, Ken S. Carslaw, Alf Grini, Douglas S. Hamilton, Jill S. Johnson, Vlassis A. Karydis, Alf Kirkevåg, John K. Kodros, Ulrike Lohmann, Gan Luo, Risto Makkonen, Hitoshi Matsui, David Neubauer, Jeffrey R. Pierce, Julia Schmale, Philip Stier, Kostas Tsigaridis, Twan van Noije, Hailong Wang, Duncan Watson-Parris, Daniel M. Westervelt, Yang Yang, Masaru Yoshioka, Nikos Daskalakis, Stefano Decesari, Martin Gysel-Beer, Nikos Kalivitis, Xiaohong Liu, Natalie M. Mahowald, Stelios Myriokefalitakis, Roland Schrödner, Maria Sfakianaki, Alexandra P. Tsimpidi, Mingxuan Wu, and Fangqun Yu
Atmos. Chem. Phys., 19, 8591–8617, https://doi.org/10.5194/acp-19-8591-2019, https://doi.org/10.5194/acp-19-8591-2019, 2019
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Effects of aerosols on clouds are important for climate studies but are among the largest uncertainties in climate projections. This study evaluates the skill of global models to simulate aerosol, cloud condensation nuclei (CCN) and cloud droplet number concentrations (CDNCs). Model results show reduced spread in CDNC compared to CCN due to the negative correlation between the sensitivities of CDNC to aerosol number concentration (air pollution) and updraft velocity (atmospheric dynamics).
Stephanie Fiedler, Stefan Kinne, Wan Ting Katty Huang, Petri Räisänen, Declan O'Donnell, Nicolas Bellouin, Philip Stier, Joonas Merikanto, Twan van Noije, Risto Makkonen, and Ulrike Lohmann
Atmos. Chem. Phys., 19, 6821–6841, https://doi.org/10.5194/acp-19-6821-2019, https://doi.org/10.5194/acp-19-6821-2019, 2019
David Walters, Anthony J. Baran, Ian Boutle, Malcolm Brooks, Paul Earnshaw, John Edwards, Kalli Furtado, Peter Hill, Adrian Lock, James Manners, Cyril Morcrette, Jane Mulcahy, Claudio Sanchez, Chris Smith, Rachel Stratton, Warren Tennant, Lorenzo Tomassini, Kwinten Van Weverberg, Simon Vosper, Martin Willett, Jo Browse, Andrew Bushell, Kenneth Carslaw, Mohit Dalvi, Richard Essery, Nicola Gedney, Steven Hardiman, Ben Johnson, Colin Johnson, Andy Jones, Colin Jones, Graham Mann, Sean Milton, Heather Rumbold, Alistair Sellar, Masashi Ujiie, Michael Whitall, Keith Williams, and Mohamed Zerroukat
Geosci. Model Dev., 12, 1909–1963, https://doi.org/10.5194/gmd-12-1909-2019, https://doi.org/10.5194/gmd-12-1909-2019, 2019
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Global Atmosphere (GA) configurations of the Unified Model (UM) and Global Land (GL) configurations of JULES are developed for use in any global atmospheric modelling application. We describe a recent iteration of these configurations, GA7/GL7, which includes new aerosol and snow schemes and addresses the four critical errors identified in GA6. GA7/GL7 will underpin the UK's contributions to CMIP6, and hence their documentation is important.
Florent F. Malavelle, Jim M. Haywood, Lina M. Mercado, Gerd A. Folberth, Nicolas Bellouin, Stephen Sitch, and Paulo Artaxo
Atmos. Chem. Phys., 19, 1301–1326, https://doi.org/10.5194/acp-19-1301-2019, https://doi.org/10.5194/acp-19-1301-2019, 2019
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Diffuse light can increase the efficiency of vegetation photosynthesis. Diffuse light results from scattering by either clouds or aerosols in the atmosphere. During the dry season biomass burning (BB) on the edges of the Amazon rainforest contributes significantly to the aerosol burden over the entire region. We show that despite a modest effect of change in light conditions, the overall impact of BB aerosols on the vegetation is still important when indirect climate feedbacks are considered.
Meng Si, Victoria E. Irish, Ryan H. Mason, Jesús Vergara-Temprado, Sarah J. Hanna, Luis A. Ladino, Jacqueline D. Yakobi-Hancock, Corinne L. Schiller, Jeremy J. B. Wentzell, Jonathan P. D. Abbatt, Ken S. Carslaw, Benjamin J. Murray, and Allan K. Bertram
Atmos. Chem. Phys., 18, 15669–15685, https://doi.org/10.5194/acp-18-15669-2018, https://doi.org/10.5194/acp-18-15669-2018, 2018
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Using the concentrations of ice-nucleating particles (INPs) and total aerosol particles measured at three coastal marine sites, the ice-nucleating ability of aerosol particles on a per number basis and a per surface-area basis were determined as a function of size. The ice-nucleating ability was strongly dependent on size, with larger particles being more efficient. This type of information can help determine the sources of INPs and constrain the future modelling of INPs and mixed-phase clouds.
Hamish Gordon, Paul R. Field, Steven J. Abel, Mohit Dalvi, Daniel P. Grosvenor, Adrian A. Hill, Ben T. Johnson, Annette K. Miltenberger, Masaru Yoshioka, and Ken S. Carslaw
Atmos. Chem. Phys., 18, 15261–15289, https://doi.org/10.5194/acp-18-15261-2018, https://doi.org/10.5194/acp-18-15261-2018, 2018
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Smoke from African fires is frequently transported across the Atlantic Ocean, where it interacts with clouds. We simulate the interaction of the smoke with the clouds, and the consequences of this for the solar radiation the clouds reflect. The simulations use a new regional configuration of the UK Met Office climate model. Our simulations indicate that the properties of the clouds, in particular their height and reflectivity, and the fractional cloud cover, are strongly affected by the smoke.
Jill S. Johnson, Leighton A. Regayre, Masaru Yoshioka, Kirsty J. Pringle, Lindsay A. Lee, David M. H. Sexton, John W. Rostron, Ben B. B. Booth, and Kenneth S. Carslaw
Atmos. Chem. Phys., 18, 13031–13053, https://doi.org/10.5194/acp-18-13031-2018, https://doi.org/10.5194/acp-18-13031-2018, 2018
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We estimate the uncertainty in an aerosol–climate model that has been tuned to match several common types of observations. We used a large set of model simulations and built emulators so that we could generate 4 million “variants” of our climate model. Even after using nine aerosol and cloud observations to constrain the model, the uncertainty remains large. We conclude that estimates of aerosol forcing from multi-model studies are likely to be more uncertain than currently estimated.
Robin G. Stevens, Katharina Loewe, Christopher Dearden, Antonios Dimitrelos, Anna Possner, Gesa K. Eirund, Tomi Raatikainen, Adrian A. Hill, Benjamin J. Shipway, Jonathan Wilkinson, Sami Romakkaniemi, Juha Tonttila, Ari Laaksonen, Hannele Korhonen, Paul Connolly, Ulrike Lohmann, Corinna Hoose, Annica M. L. Ekman, Ken S. Carslaw, and Paul R. Field
Atmos. Chem. Phys., 18, 11041–11071, https://doi.org/10.5194/acp-18-11041-2018, https://doi.org/10.5194/acp-18-11041-2018, 2018
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We perform a model intercomparison of summertime high Arctic clouds. Observed concentrations of aerosol particles necessary for cloud formation fell to extremely low values, coincident with a transition from cloudy to nearly cloud-free conditions. Previous analyses have suggested that at these low concentrations, the radiative properties of the clouds are determined primarily by these particle concentrations. The model results strongly support this hypothesis.
Edmund Ryan, Oliver Wild, Apostolos Voulgarakis, and Lindsay Lee
Geosci. Model Dev., 11, 3131–3146, https://doi.org/10.5194/gmd-11-3131-2018, https://doi.org/10.5194/gmd-11-3131-2018, 2018
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Global sensitivity analysis (GSA) identifies which parameters of a model most affect its output. We performed GSA using statistical emulators as surrogates of two slow-running atmospheric chemistry transport models. Due to the high dimension of the model outputs, we considered two alternative methods: one that reduced the output dimension and one that did not require an emulator. The alternative methods accurately performed the GSA but were significantly faster than the emulator-only method.
Claudia Timmreck, Graham W. Mann, Valentina Aquila, Rene Hommel, Lindsay A. Lee, Anja Schmidt, Christoph Brühl, Simon Carn, Mian Chin, Sandip S. Dhomse, Thomas Diehl, Jason M. English, Michael J. Mills, Ryan Neely, Jianxiong Sheng, Matthew Toohey, and Debra Weisenstein
Geosci. Model Dev., 11, 2581–2608, https://doi.org/10.5194/gmd-11-2581-2018, https://doi.org/10.5194/gmd-11-2581-2018, 2018
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The paper describes the experimental design of the Interactive Stratospheric Aerosol Model Intercomparison Project (ISA-MIP). ISA-MIP will improve understanding of stratospheric aerosol processes, chemistry, and dynamics and constrain climate impacts of background aerosol variability and small and large volcanic eruptions. It will help to asses the stratospheric aerosol contribution to the early 21st century global warming hiatus period and the effects from hypothetical geoengineering schemes.
Christopher J. Smith, Piers M. Forster, Myles Allen, Nicholas Leach, Richard J. Millar, Giovanni A. Passerello, and Leighton A. Regayre
Geosci. Model Dev., 11, 2273–2297, https://doi.org/10.5194/gmd-11-2273-2018, https://doi.org/10.5194/gmd-11-2273-2018, 2018
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FAIR v1.3 is a simple Python-based climate model emulator. It takes emissions of greenhouse gases and aerosol and ozone precursors to calculate radiative forcing and temperature change. It includes a simple representation of carbon cycle feedbacks due to temperature and accumulated carbon uptake. Large ensembles can be run with minimal computational expense for any user-specified emissions pathway. We produce such an ensemble using the RCP emissions datasets.
Lauren Marshall, Anja Schmidt, Matthew Toohey, Ken S. Carslaw, Graham W. Mann, Michael Sigl, Myriam Khodri, Claudia Timmreck, Davide Zanchettin, William T. Ball, Slimane Bekki, James S. A. Brooke, Sandip Dhomse, Colin Johnson, Jean-Francois Lamarque, Allegra N. LeGrande, Michael J. Mills, Ulrike Niemeier, James O. Pope, Virginie Poulain, Alan Robock, Eugene Rozanov, Andrea Stenke, Timofei Sukhodolov, Simone Tilmes, Kostas Tsigaridis, and Fiona Tummon
Atmos. Chem. Phys., 18, 2307–2328, https://doi.org/10.5194/acp-18-2307-2018, https://doi.org/10.5194/acp-18-2307-2018, 2018
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We use four global aerosol models to compare the simulated sulfate deposition from the 1815 Mt. Tambora eruption to ice core records. Inter-model volcanic sulfate deposition differs considerably. Volcanic sulfate deposited on polar ice sheets is used to estimate the atmospheric sulfate burden and subsequently radiative forcing of historic eruptions. Our results suggest that deriving such relationships from model simulations may be associated with greater uncertainties than previously thought.
Maria Sand, Bjørn H. Samset, Yves Balkanski, Susanne Bauer, Nicolas Bellouin, Terje K. Berntsen, Huisheng Bian, Mian Chin, Thomas Diehl, Richard Easter, Steven J. Ghan, Trond Iversen, Alf Kirkevåg, Jean-François Lamarque, Guangxing Lin, Xiaohong Liu, Gan Luo, Gunnar Myhre, Twan van Noije, Joyce E. Penner, Michael Schulz, Øyvind Seland, Ragnhild B. Skeie, Philip Stier, Toshihiko Takemura, Kostas Tsigaridis, Fangqun Yu, Kai Zhang, and Hua Zhang
Atmos. Chem. Phys., 17, 12197–12218, https://doi.org/10.5194/acp-17-12197-2017, https://doi.org/10.5194/acp-17-12197-2017, 2017
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The role of aerosols in the changing polar climate is not well understood and the aerosols are poorly constrained in the models. In this study we have compared output from 16 different aerosol models with available observations at both poles. We show that the model median is representative of the observations, but the model spread is large. The Arctic direct aerosol radiative effect over the industrial area is positive during spring due to black carbon and negative during summer due to sulfate.
Jesús Vergara-Temprado, Benjamin J. Murray, Theodore W. Wilson, Daniel O'Sullivan, Jo Browse, Kirsty J. Pringle, Karin Ardon-Dryer, Allan K. Bertram, Susannah M. Burrows, Darius Ceburnis, Paul J. DeMott, Ryan H. Mason, Colin D. O'Dowd, Matteo Rinaldi, and Ken S. Carslaw
Atmos. Chem. Phys., 17, 3637–3658, https://doi.org/10.5194/acp-17-3637-2017, https://doi.org/10.5194/acp-17-3637-2017, 2017
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We quantify the importance in the atmosphere of different aerosol components to contribute to global ice-nucleating particles concentrations (INPs). The aim is to improve the way atmospheric cloud-ice processes are represented in climate models so they will be able to make better predictions in the future. We found that a kind of dust (K-feldspar), together with marine organic aerosols, can help to improve the representation of INPs and explain most of their observations.
Céline Planche, Graham W. Mann, Kenneth S. Carslaw, Mohit Dalvi, John H. Marsham, and Paul R. Field
Atmos. Chem. Phys., 17, 3371–3384, https://doi.org/10.5194/acp-17-3371-2017, https://doi.org/10.5194/acp-17-3371-2017, 2017
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A convection-permitting limited area model with prognostic aerosol microphysics is applied to investigate how concentrations of cloud condensation nuclei (CCN) in the marine boundary layer are affected by high-resolution dynamical and thermodynamic fields at sub-climate model scale. We gain new insight into the way primary sea-salt and secondary sulfate particles contribute to the overall CCN variance, and find a marked difference in the variability of super- and sub-micron CCN.
Doug McNeall, Jonny Williams, Ben Booth, Richard Betts, Peter Challenor, Andy Wiltshire, and David Sexton
Earth Syst. Dynam., 7, 917–935, https://doi.org/10.5194/esd-7-917-2016, https://doi.org/10.5194/esd-7-917-2016, 2016
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We compare simulated with observed forests to constrain uncertain input parameters of the land surface component of a climate model.
We find that the model is unlikely to be able to simulate the Amazon and other major forests simultaneously at any one parameter set, suggesting a bias in the model's representation of the Amazon.
We find we cannot constrain parameters individually, but we can rule out large areas of joint parameter space.
Ben T. Johnson, James M. Haywood, Justin M. Langridge, Eoghan Darbyshire, William T. Morgan, Kate Szpek, Jennifer K. Brooke, Franco Marenco, Hugh Coe, Paulo Artaxo, Karla M. Longo, Jane P. Mulcahy, Graham W. Mann, Mohit Dalvi, and Nicolas Bellouin
Atmos. Chem. Phys., 16, 14657–14685, https://doi.org/10.5194/acp-16-14657-2016, https://doi.org/10.5194/acp-16-14657-2016, 2016
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Biomass burning is a large source of carbonaceous aerosols, which scatter and absorb solar radiation, and modify cloud properties. We evaluate the simulation of biomass burning aerosol processes and properties in the HadGEM3 climate model using observations, including those from the South American Biomass Burning Analysis. We find that modelled aerosol optical depths are underestimated unless aerosol emissions (Global Fire Emission Database v3) are increased by a factor of 1.6–2.0.
Nicolas Bellouin, Laura Baker, Øivind Hodnebrog, Dirk Olivié, Ribu Cherian, Claire Macintosh, Bjørn Samset, Anna Esteve, Borgar Aamaas, Johannes Quaas, and Gunnar Myhre
Atmos. Chem. Phys., 16, 13885–13910, https://doi.org/10.5194/acp-16-13885-2016, https://doi.org/10.5194/acp-16-13885-2016, 2016
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This study uses global climate models to quantify how strongly man-made emissions of selected pollutants modify the energy budget of the Earth. The pollutants studied interact directly and indirectly with sunlight and terrestrial radiation and remain a relatively short time in the atmosphere, leading to regional and seasonal variations in their impacts. This new data set is useful to compare the potential climate impacts of different pollutants in support of policies to reduce climate change.
François Benduhn, Graham W. Mann, Kirsty J. Pringle, David O. Topping, Gordon McFiggans, and Kenneth S. Carslaw
Geosci. Model Dev., 9, 3875–3906, https://doi.org/10.5194/gmd-9-3875-2016, https://doi.org/10.5194/gmd-9-3875-2016, 2016
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We present a new mathematical formalism that serves to represent exchanges of inorganic matter between the atmosphere gas phase and the aerosol aqueous phase. In a global modelling framework, taking into account these processes may help represent many important features more accurately, such as the formation of cloud droplets or the radiative properties of the atmosphere. The formalism strives to keep an appropriate balance between accuracy and computation efficiency requirements.
B. Quennehen, J.-C. Raut, K. S. Law, N. Daskalakis, G. Ancellet, C. Clerbaux, S.-W. Kim, M. T. Lund, G. Myhre, D. J. L. Olivié, S. Safieddine, R. B. Skeie, J. L. Thomas, S. Tsyro, A. Bazureau, N. Bellouin, M. Hu, M. Kanakidou, Z. Klimont, K. Kupiainen, S. Myriokefalitakis, J. Quaas, S. T. Rumbold, M. Schulz, R. Cherian, A. Shimizu, J. Wang, S.-C. Yoon, and T. Zhu
Atmos. Chem. Phys., 16, 10765–10792, https://doi.org/10.5194/acp-16-10765-2016, https://doi.org/10.5194/acp-16-10765-2016, 2016
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This paper evaluates the ability of six global models and one regional model in reproducing short-lived pollutants (defined here as ozone and its precursors, aerosols and black carbon) concentrations over Asia using satellite, ground-based and airborne observations.
Key findings are that models homogeneously reproduce the trace gas observations although nitrous oxides are underestimated, whereas the aerosol distributions are heterogeneously reproduced, implicating important uncertainties.
Zarashpe Z. Kapadia, Dominick V. Spracklen, Steve R. Arnold, Duncan J. Borman, Graham W. Mann, Kirsty J. Pringle, Sarah A. Monks, Carly L. Reddington, François Benduhn, Alexandru Rap, Catherine E. Scott, Edward W. Butt, and Masaru Yoshioka
Atmos. Chem. Phys., 16, 10521–10541, https://doi.org/10.5194/acp-16-10521-2016, https://doi.org/10.5194/acp-16-10521-2016, 2016
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Using a coupled tropospheric chemistry-aerosol microphysics model this research paper investigates the effect of variations in aviation fuel sulfur content (FSC) on surface PM2.5 concentrations, increases in aviation-induced premature mortalities, low-level cloud condensation nuclei and radiative effect.
When investigating the climatic impact of variations in FSC the ozone direct radiative effect, aerosol direct radiative effect and aerosol cloud albedo effect are quantified.
When investigating the climatic impact of variations in FSC the ozone direct radiative effect, aerosol direct radiative effect and aerosol cloud albedo effect are quantified.
Matthew Kasoar, Apostolos Voulgarakis, Jean-François Lamarque, Drew T. Shindell, Nicolas Bellouin, William J. Collins, Greg Faluvegi, and Kostas Tsigaridis
Atmos. Chem. Phys., 16, 9785–9804, https://doi.org/10.5194/acp-16-9785-2016, https://doi.org/10.5194/acp-16-9785-2016, 2016
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Computer models are our primary tool to investigate how fossil-fuel emissions are affecting the climate. Here, we used three different climate models to see how they simulate the response to removing sulfur dioxide emissions from China. We found that the models disagreed substantially on how large the climate effect is from the emissions in this region. This range of outcomes is concerning if scientists or policy makers have to rely on any one model when performing their own studies.
Stefan C. Dekker, Margriet Groenendijk, Ben B. B. Booth, Chris Huntingford, and Peter M. Cox
Earth Syst. Dynam., 7, 525–533, https://doi.org/10.5194/esd-7-525-2016, https://doi.org/10.5194/esd-7-525-2016, 2016
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Our analysis allows us to infer maps of changing plant water-use efficiency (WUE) for 1901–2010, using atmospheric observations of temperature, humidity and CO2. Our estimated increase in global WUE is consistent with the tree-ring and eddy covariance data, but much larger than the historical WUE increases simulated by Earth System Models (ESMs). We therefore conclude that the effects of increasing CO2 on plant WUE are significantly underestimated in the latest climate projections.
Borgar Aamaas, Terje K. Berntsen, Jan S. Fuglestvedt, Keith P. Shine, and Nicolas Bellouin
Atmos. Chem. Phys., 16, 7451–7468, https://doi.org/10.5194/acp-16-7451-2016, https://doi.org/10.5194/acp-16-7451-2016, 2016
Zak Kipling, Philip Stier, Colin E. Johnson, Graham W. Mann, Nicolas Bellouin, Susanne E. Bauer, Tommi Bergman, Mian Chin, Thomas Diehl, Steven J. Ghan, Trond Iversen, Alf Kirkevåg, Harri Kokkola, Xiaohong Liu, Gan Luo, Twan van Noije, Kirsty J. Pringle, Knut von Salzen, Michael Schulz, Øyvind Seland, Ragnhild B. Skeie, Toshihiko Takemura, Kostas Tsigaridis, and Kai Zhang
Atmos. Chem. Phys., 16, 2221–2241, https://doi.org/10.5194/acp-16-2221-2016, https://doi.org/10.5194/acp-16-2221-2016, 2016
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The vertical distribution of atmospheric aerosol is an important factor in its effects on climate. In this study we use a sophisticated model of the many interacting processes affecting aerosol in the atmosphere to show that the vertical distribution is typically dominated by only a few of these processes. Constraining these physical processes may help to reduce the large differences between models. However, the important processes are not always the same for different types of aerosol.
C. E. Scott, D. V. Spracklen, J. R. Pierce, I. Riipinen, S. D. D'Andrea, A. Rap, K. S. Carslaw, P. M. Forster, P. Artaxo, M. Kulmala, L. V. Rizzo, E. Swietlicki, G. W. Mann, and K. J. Pringle
Atmos. Chem. Phys., 15, 12989–13001, https://doi.org/10.5194/acp-15-12989-2015, https://doi.org/10.5194/acp-15-12989-2015, 2015
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To understand the radiative effects of biogenic secondary organic aerosol (SOA) it is necessary to consider the manner in which it is distributed across the existing aerosol size distribution. We explore the importance of the approach taken by global-scale models to do this, when calculating the direct radiative effect (DRE) & first aerosol indirect effect (AIE) due to biogenic SOA. This choice has little effect on the DRE, but a substantial impact on the magnitude and even sign of the first AIE
A. Stohl, B. Aamaas, M. Amann, L. H. Baker, N. Bellouin, T. K. Berntsen, O. Boucher, R. Cherian, W. Collins, N. Daskalakis, M. Dusinska, S. Eckhardt, J. S. Fuglestvedt, M. Harju, C. Heyes, Ø. Hodnebrog, J. Hao, U. Im, M. Kanakidou, Z. Klimont, K. Kupiainen, K. S. Law, M. T. Lund, R. Maas, C. R. MacIntosh, G. Myhre, S. Myriokefalitakis, D. Olivié, J. Quaas, B. Quennehen, J.-C. Raut, S. T. Rumbold, B. H. Samset, M. Schulz, Ø. Seland, K. P. Shine, R. B. Skeie, S. Wang, K. E. Yttri, and T. Zhu
Atmos. Chem. Phys., 15, 10529–10566, https://doi.org/10.5194/acp-15-10529-2015, https://doi.org/10.5194/acp-15-10529-2015, 2015
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This paper presents a summary of the findings of the ECLIPSE EU project. The project has investigated the climate and air quality impacts of short-lived climate pollutants (especially methane, ozone, aerosols) and has designed a global mitigation strategy that maximizes co-benefits between air quality and climate policy. Transient climate model simulations allowed quantifying the impacts on temperature (e.g., reduction in global warming by 0.22K for the decade 2041-2050) and precipitation.
S. T. Turnock, D. V. Spracklen, K. S. Carslaw, G. W. Mann, M. T. Woodhouse, P. M. Forster, J. Haywood, C. E. Johnson, M. Dalvi, N. Bellouin, and A. Sanchez-Lorenzo
Atmos. Chem. Phys., 15, 9477–9500, https://doi.org/10.5194/acp-15-9477-2015, https://doi.org/10.5194/acp-15-9477-2015, 2015
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We evaluate HadGEM3-UKCA over Europe for the period 1960-2009 against observations of aerosol mass and number, aerosol optical depth (AOD) and surface solar radiation (SSR). The model underestimates aerosol mass and number but is less biased if compared to AOD and SSR. Observed trends in aerosols are well simulated by the model and necessary for reproducing the observed increase in SSR since 1990. European all-sky top of atmosphere aerosol radiative forcing increased by > 3 Wm-2 from 1970 to 2009.
P. R. Halloran, B. B. B. Booth, C. D. Jones, F. H. Lambert, D. J. McNeall, I. J. Totterdell, and C. Völker
Biogeosciences, 12, 4497–4508, https://doi.org/10.5194/bg-12-4497-2015, https://doi.org/10.5194/bg-12-4497-2015, 2015
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The oceans currently take up around a quarter of the carbon dioxide (CO2) emitted by human activity. While stored in the ocean, this CO2 is not causing global warming. Here we explore high latitude North Atlantic CO2 uptake across a set of climate model simulations, and find that the models show a peak in ocean CO2 uptake around the middle of the century after which time CO2 uptake begins to decline. We identify the causes of this long-term change and interannual variability in the models.
S. Fuzzi, U. Baltensperger, K. Carslaw, S. Decesari, H. Denier van der Gon, M. C. Facchini, D. Fowler, I. Koren, B. Langford, U. Lohmann, E. Nemitz, S. Pandis, I. Riipinen, Y. Rudich, M. Schaap, J. G. Slowik, D. V. Spracklen, E. Vignati, M. Wild, M. Williams, and S. Gilardoni
Atmos. Chem. Phys., 15, 8217–8299, https://doi.org/10.5194/acp-15-8217-2015, https://doi.org/10.5194/acp-15-8217-2015, 2015
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Particulate matter (PM) constitutes one of the most challenging problems both for air quality and climate change policies. This paper reviews the most recent scientific results on the issue and the policy needs that have driven much of the increase in monitoring and mechanistic research over the last 2 decades. The synthesis reveals many new processes and developments in the science underpinning climate-PM interactions and the effects of PM on human health and the environment.
A. Franchin, S. Ehrhart, J. Leppä, T. Nieminen, S. Gagné, S. Schobesberger, D. Wimmer, J. Duplissy, F. Riccobono, E. M. Dunne, L. Rondo, A. Downard, F. Bianchi, A. Kupc, G. Tsagkogeorgas, K. Lehtipalo, H. E. Manninen, J. Almeida, A. Amorim, P. E. Wagner, A. Hansel, J. Kirkby, A. Kürten, N. M. Donahue, V. Makhmutov, S. Mathot, A. Metzger, T. Petäjä, R. Schnitzhofer, M. Sipilä, Y. Stozhkov, A. Tomé, V.-M. Kerminen, K. Carslaw, J. Curtius, U. Baltensperger, and M. Kulmala
Atmos. Chem. Phys., 15, 7203–7216, https://doi.org/10.5194/acp-15-7203-2015, https://doi.org/10.5194/acp-15-7203-2015, 2015
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The ion-ion recombination coefficient was measured at different temperatures, relative humidities and concentrations of ozone and sulfur dioxide. The experiments were carried out using the CLOUD chamber at CERN.
We observed a strong dependency on temperature and on relative humidity, which has not been reported previously. No dependency of the ion-ion recombination coefficient on ozone concentration was observed and a weak variation with sulfur dioxide concentration was also observed.
X. Pan, M. Chin, R. Gautam, H. Bian, D. Kim, P. R. Colarco, T. L. Diehl, T. Takemura, L. Pozzoli, K. Tsigaridis, S. Bauer, and N. Bellouin
Atmos. Chem. Phys., 15, 5903–5928, https://doi.org/10.5194/acp-15-5903-2015, https://doi.org/10.5194/acp-15-5903-2015, 2015
R. J. Pope, M. P. Chipperfield, N. H. Savage, C. Ordóñez, L. S. Neal, L. A. Lee, S. S. Dhomse, N. A. D. Richards, and T. D. Keslake
Atmos. Chem. Phys., 15, 5611–5626, https://doi.org/10.5194/acp-15-5611-2015, https://doi.org/10.5194/acp-15-5611-2015, 2015
B. H. Samset, G. Myhre, A. Herber, Y. Kondo, S.-M. Li, N. Moteki, M. Koike, N. Oshima, J. P. Schwarz, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, M. Chin, T. Diehl, R. C. Easter, S. J. Ghan, T. Iversen, A. Kirkevåg, J.-F. Lamarque, G. Lin, X. Liu, J. E. Penner, M. Schulz, Ø. Seland, R. B. Skeie, P. Stier, T. Takemura, K. Tsigaridis, and K. Zhang
Atmos. Chem. Phys., 14, 12465–12477, https://doi.org/10.5194/acp-14-12465-2014, https://doi.org/10.5194/acp-14-12465-2014, 2014
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Far from black carbon (BC) emission sources, present climate models are unable to reproduce flight measurements. By comparing recent models with data, we find that the atmospheric lifetime of BC may be overestimated in models. By adjusting modeled BC concentrations to measurements in remote regions - over oceans and at high altitudes - we arrive at a reduced estimate for BC radiative forcing over the industrial era.
S. S. Dhomse, K. M. Emmerson, G. W. Mann, N. Bellouin, K. S. Carslaw, M. P. Chipperfield, R. Hommel, N. L. Abraham, P. Telford, P. Braesicke, M. Dalvi, C. E. Johnson, F. O'Connor, O. Morgenstern, J. A. Pyle, T. Deshler, J. M. Zawodny, and L. W. Thomason
Atmos. Chem. Phys., 14, 11221–11246, https://doi.org/10.5194/acp-14-11221-2014, https://doi.org/10.5194/acp-14-11221-2014, 2014
K. Tsigaridis, N. Daskalakis, M. Kanakidou, P. J. Adams, P. Artaxo, R. Bahadur, Y. Balkanski, S. E. Bauer, N. Bellouin, A. Benedetti, T. Bergman, T. K. Berntsen, J. P. Beukes, H. Bian, K. S. Carslaw, M. Chin, G. Curci, T. Diehl, R. C. Easter, S. J. Ghan, S. L. Gong, A. Hodzic, C. R. Hoyle, T. Iversen, S. Jathar, J. L. Jimenez, J. W. Kaiser, A. Kirkevåg, D. Koch, H. Kokkola, Y. H Lee, G. Lin, X. Liu, G. Luo, X. Ma, G. W. Mann, N. Mihalopoulos, J.-J. Morcrette, J.-F. Müller, G. Myhre, S. Myriokefalitakis, N. L. Ng, D. O'Donnell, J. E. Penner, L. Pozzoli, K. J. Pringle, L. M. Russell, M. Schulz, J. Sciare, Ø. Seland, D. T. Shindell, S. Sillman, R. B. Skeie, D. Spracklen, T. Stavrakou, S. D. Steenrod, T. Takemura, P. Tiitta, S. Tilmes, H. Tost, T. van Noije, P. G. van Zyl, K. von Salzen, F. Yu, Z. Wang, Z. Wang, R. A. Zaveri, H. Zhang, K. Zhang, Q. Zhang, and X. Zhang
Atmos. Chem. Phys., 14, 10845–10895, https://doi.org/10.5194/acp-14-10845-2014, https://doi.org/10.5194/acp-14-10845-2014, 2014
J. Browse, K. S. Carslaw, G. W. Mann, C. E. Birch, S. R. Arnold, and C. Leck
Atmos. Chem. Phys., 14, 7543–7557, https://doi.org/10.5194/acp-14-7543-2014, https://doi.org/10.5194/acp-14-7543-2014, 2014
R. E. L. West, P. Stier, A. Jones, C. E. Johnson, G. W. Mann, N. Bellouin, D. G. Partridge, and Z. Kipling
Atmos. Chem. Phys., 14, 6369–6393, https://doi.org/10.5194/acp-14-6369-2014, https://doi.org/10.5194/acp-14-6369-2014, 2014
G. W. Mann, K. S. Carslaw, C. L. Reddington, K. J. Pringle, M. Schulz, A. Asmi, D. V. Spracklen, D. A. Ridley, M. T. Woodhouse, L. A. Lee, K. Zhang, S. J. Ghan, R. C. Easter, X. Liu, P. Stier, Y. H. Lee, P. J. Adams, H. Tost, J. Lelieveld, S. E. Bauer, K. Tsigaridis, T. P. C. van Noije, A. Strunk, E. Vignati, N. Bellouin, M. Dalvi, C. E. Johnson, T. Bergman, H. Kokkola, K. von Salzen, F. Yu, G. Luo, A. Petzold, J. Heintzenberg, A. Clarke, J. A. Ogren, J. Gras, U. Baltensperger, U. Kaminski, S. G. Jennings, C. D. O'Dowd, R. M. Harrison, D. C. S. Beddows, M. Kulmala, Y. Viisanen, V. Ulevicius, N. Mihalopoulos, V. Zdimal, M. Fiebig, H.-C. Hansson, E. Swietlicki, and J. S. Henzing
Atmos. Chem. Phys., 14, 4679–4713, https://doi.org/10.5194/acp-14-4679-2014, https://doi.org/10.5194/acp-14-4679-2014, 2014
J. P. Mulcahy, D. N. Walters, N. Bellouin, and S. F. Milton
Atmos. Chem. Phys., 14, 4749–4778, https://doi.org/10.5194/acp-14-4749-2014, https://doi.org/10.5194/acp-14-4749-2014, 2014
C. Jiao, M. G. Flanner, Y. Balkanski, S. E. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, K. S. Carslaw, M. Chin, N. De Luca, T. Diehl, S. J. Ghan, T. Iversen, A. Kirkevåg, D. Koch, X. Liu, G. W. Mann, J. E. Penner, G. Pitari, M. Schulz, Ø. Seland, R. B. Skeie, S. D. Steenrod, P. Stier, T. Takemura, K. Tsigaridis, T. van Noije, Y. Yun, and K. Zhang
Atmos. Chem. Phys., 14, 2399–2417, https://doi.org/10.5194/acp-14-2399-2014, https://doi.org/10.5194/acp-14-2399-2014, 2014
D. N. Walters, K. D. Williams, I. A. Boutle, A. C. Bushell, J. M. Edwards, P. R. Field, A. P. Lock, C. J. Morcrette, R. A. Stratton, J. M. Wilkinson, M. R. Willett, N. Bellouin, A. Bodas-Salcedo, M. E. Brooks, D. Copsey, P. D. Earnshaw, S. C. Hardiman, C. M. Harris, R. C. Levine, C. MacLachlan, J. C. Manners, G. M. Martin, S. F. Milton, M. D. Palmer, M. J. Roberts, J. M. Rodríguez, W. J. Tennant, and P. L. Vidale
Geosci. Model Dev., 7, 361–386, https://doi.org/10.5194/gmd-7-361-2014, https://doi.org/10.5194/gmd-7-361-2014, 2014
C. E. Scott, A. Rap, D. V. Spracklen, P. M. Forster, K. S. Carslaw, G. W. Mann, K. J. Pringle, N. Kivekäs, M. Kulmala, H. Lihavainen, and P. Tunved
Atmos. Chem. Phys., 14, 447–470, https://doi.org/10.5194/acp-14-447-2014, https://doi.org/10.5194/acp-14-447-2014, 2014
L. A. Lee, K. J. Pringle, C. L. Reddington, G. W. Mann, P. Stier, D. V. Spracklen, J. R. Pierce, and K. S. Carslaw
Atmos. Chem. Phys., 13, 8879–8914, https://doi.org/10.5194/acp-13-8879-2013, https://doi.org/10.5194/acp-13-8879-2013, 2013
C. L. Reddington, G. McMeeking, G. W. Mann, H. Coe, M. G. Frontoso, D. Liu, M. Flynn, D. V. Spracklen, and K. S. Carslaw
Atmos. Chem. Phys., 13, 4917–4939, https://doi.org/10.5194/acp-13-4917-2013, https://doi.org/10.5194/acp-13-4917-2013, 2013
B. B. B. Booth, D. Bernie, D. McNeall, E. Hawkins, J. Caesar, C. Boulton, P. Friedlingstein, and D. M. H. Sexton
Earth Syst. Dynam., 4, 95–108, https://doi.org/10.5194/esd-4-95-2013, https://doi.org/10.5194/esd-4-95-2013, 2013
N. Bellouin, G. W. Mann, M. T. Woodhouse, C. Johnson, K. S. Carslaw, and M. Dalvi
Atmos. Chem. Phys., 13, 3027–3044, https://doi.org/10.5194/acp-13-3027-2013, https://doi.org/10.5194/acp-13-3027-2013, 2013
M. T. Woodhouse, G. W. Mann, K. S. Carslaw, and O. Boucher
Atmos. Chem. Phys., 13, 2723–2733, https://doi.org/10.5194/acp-13-2723-2013, https://doi.org/10.5194/acp-13-2723-2013, 2013
B. H. Samset, G. Myhre, M. Schulz, Y. Balkanski, S. Bauer, T. K. Berntsen, H. Bian, N. Bellouin, T. Diehl, R. C. Easter, S. J. Ghan, T. Iversen, S. Kinne, A. Kirkevåg, J.-F. Lamarque, G. Lin, X. Liu, J. E. Penner, Ø. Seland, R. B. Skeie, P. Stier, T. Takemura, K. Tsigaridis, and K. Zhang
Atmos. Chem. Phys., 13, 2423–2434, https://doi.org/10.5194/acp-13-2423-2013, https://doi.org/10.5194/acp-13-2423-2013, 2013
N. Bellouin, J. Quaas, J.-J. Morcrette, and O. Boucher
Atmos. Chem. Phys., 13, 2045–2062, https://doi.org/10.5194/acp-13-2045-2013, https://doi.org/10.5194/acp-13-2045-2013, 2013
J. H. T. Williams, R. S. Smith, P. J. Valdes, B. B. B. Booth, and A. Osprey
Geosci. Model Dev., 6, 141–160, https://doi.org/10.5194/gmd-6-141-2013, https://doi.org/10.5194/gmd-6-141-2013, 2013
E. M. Dunne, L. A. Lee, C. L. Reddington, and K. S. Carslaw
Atmos. Chem. Phys., 12, 11573–11587, https://doi.org/10.5194/acp-12-11573-2012, https://doi.org/10.5194/acp-12-11573-2012, 2012
Related subject area
Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
The underappreciated role of transboundary pollution in future air quality and health improvements in China
The export of African mineral dust across the Atlantic and its impact over the Amazon Basin
Assimilation of POLDER observations to estimate aerosol emissions
Effect of radiation interaction and aerosol processes on ventilation and aerosol concentrations in a real urban neighbourhood in Helsinki
Atlantic Multidecadal Oscillation modulates the relationship between El Niño–Southern Oscillation and fire weather in Australia
Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing
Impacts of reducing scattering and absorbing aerosols on the temporal extent and intensity of South Asian summer monsoon and East Asian summer monsoon
Superimposed effects of typical local circulations driven by mountainous topography and aerosol–radiation interaction on heavy haze in the Beijing–Tianjin–Hebei central and southern plains in winter
Multi-model ensemble projection of the global dust cycle by the end of 21st century using the Coupled Model Intercomparison Project version 6 data
A thermodynamic framework for bulk–surface partitioning in finite-volume mixed organic–inorganic aerosol particles and cloud droplets
Change from aerosol-driven to cloud-feedback-driven trend in short-wave radiative flux over the North Atlantic
A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions
Biomass-burning smoke properties and its interactions with marine stratocumulus clouds in WRF-CAM5 and southeastern Atlantic field campaigns
Transported aerosols regulate the pre-monsoon rainfall over north-east India: a WRF-Chem modelling study
Collision-sticking rates of acid–base clusters in the gas phase determined from atomistic simulation and a novel analytical interacting hard-sphere model
Increased Importance of Aerosol-Cloud Interaction for Surface PM2.5 Pollution Relative to Aerosol-Radiation Interaction in China With the Anthropogenic Emission Reduction
Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties
Air pollution trapping in the Dresden Basin induced by natural and urban topography
Model-based insights into aerosol perturbation on pristine continental convective precipitation
The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations
On the differences in the vertical distribution of modeled aerosol optical depth over the southeastern Atlantic
A global evaluation of daily to seasonal aerosol and water vapor relationships using a combination of AERONET and NAAPS reanalysis data
Local and remote climate impacts of future African aerosol emissions
The dependence of aerosols' global and local precipitation impacts on the emitting region
Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling
Aggravated air pollution and health burden due to traffic congestion in urban China
Late summer transition from a free-tropospheric to boundary layer source of Aitken mode aerosol in the high Arctic
Self-lofting of wildfire smoke in the troposphere and stratosphere: simulations and space lidar observations
Numerical simulation and evaluation of global ultrafine particle concentrations at the Earth's surface
Role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds
Projected increases in wildfires may challenge regulatory curtailment of PM2.5 over the eastern US by 2050
The Impact of Aerosols on the Stratiform Clouds over southern West Africa: A Large-Eddy Simulation Study
Meteorological export and deposition fluxes of black carbon on glaciers of the central Chilean Andes
Future changes in atmospheric rivers over East Asia under stratospheric aerosol intervention
Modeling the influence of chain length on secondary organic aerosol (SOA) formation via multiphase reactions of alkanes
How aerosol size matters in aerosol optical depth (AOD) assimilation and the optimization using the Ångström exponent
Microphysical, macrophysical, and radiative responses of subtropical marine clouds to aerosol injections
Hemispheric-wide climate response to regional COVID-19-related aerosol emission reductions: the prominent role of atmospheric circulation adjustments
Impacts of an aerosol layer on a midlatitude continental system of cumulus clouds: how do these impacts depend on the vertical location of the aerosol layer?
The role of temporal scales in extracting dominant meteorological drivers of major airborne pollutants
Impact of phase state and non-ideal mixing on equilibration timescales of secondary organic aerosol partitioning
A global climatology of ice-nucleating particles under cirrus conditions derived from model simulations with MADE3 in EMAC
Enviro-HIRLAM model estimates of elevated black carbon pollution over Ukraine resulted from forest fires
Where does the dust deposited over the Sierra Nevada snow come from?
Instant and delayed effects of March biomass burning aerosols over the Indochina Peninsula
Aerosol–cloud interaction in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on mesoscale numerical weather prediction under haze pollution conditions in Jing–Jin–Ji in China
Survival probabilities of atmospheric particles: comparison based on theory, cluster population simulations, and observations in Beijing
The simulation of mineral dust in the United Kingdom Earth System Model UKESM1
Dust pollution in China affected by different spatial and temporal types of El Niño
An improved representation of aerosol mixing state for air quality–weather interactions
Jun-Wei Xu, Jintai Lin, Dan Tong, and Lulu Chen
Atmos. Chem. Phys., 23, 10075–10089, https://doi.org/10.5194/acp-23-10075-2023, https://doi.org/10.5194/acp-23-10075-2023, 2023
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This study highlights the necessity of a low-carbon pathway in foreign countries for China to achieve air quality goals and to protect public health. We find that adopting the low-carbon instead of the fossil-fuel-intensive pathway in foreign countries would prevent 63 000–270 000 transboundary PM2.5-associated mortalities in China in 2060. Our study provides direct evidence of the necessity of inter-regional cooperation for air quality improvement.
Xurong Wang, Qiaoqiao Wang, Maria Prass, Christopher Pöhlker, Daniel Moran-Zuloaga, Paulo Artaxo, Jianwei Gu, Ning Yang, Xiajie Yang, Jiangchuan Tao, Juan Hong, Nan Ma, Yafang Cheng, Hang Su, and Meinrat O. Andreae
Atmos. Chem. Phys., 23, 9993–10014, https://doi.org/10.5194/acp-23-9993-2023, https://doi.org/10.5194/acp-23-9993-2023, 2023
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In this work, with an optimized particle mass size distribution, we captured observed aerosol optical depth (AOD) and coarse aerosol concentrations over source and/or receptor regions well, demonstrating good performance in simulating export of African dust toward the Amazon Basin. In addition to factors controlling the transatlantic transport of African dust, the study investigated the impact of African dust over the Amazon Basin, including the nutrient inputs associated with dust deposition.
Athanasios Tsikerdekis, Otto P. Hasekamp, Nick A. J. Schutgens, and Qirui Zhong
Atmos. Chem. Phys., 23, 9495–9524, https://doi.org/10.5194/acp-23-9495-2023, https://doi.org/10.5194/acp-23-9495-2023, 2023
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Aerosols are tiny particles of different substances (species) that can be emitted into the atmosphere by natural processes or by anthropogenic activities. However, the actual aerosol emission amount per species is highly uncertain. Thus in this work we correct the aerosol emissions used to drive a global aerosol–climate model using satellite observations through a process called data assimilation. These more accurate aerosol emissions can lead to a more accurate weather and climate prediction.
Jani Strömberg, Xiaoyu Li, Mona Kurppa, Heino Kuuluvainen, Liisa Pirjola, and Leena Järvi
Atmos. Chem. Phys., 23, 9347–9364, https://doi.org/10.5194/acp-23-9347-2023, https://doi.org/10.5194/acp-23-9347-2023, 2023
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We conclude that with low wind speeds, solar radiation has a larger decreasing effect (53 %) on pollutant concentrations than aerosol processes (18 %). Additionally, our results showed that with solar radiation included, pollutant concentrations were closer to observations (−13 %) than with only aerosol processes (+98 %). This has implications when planning simulations under calm conditions such as in our case and when deciding whether or not simulations need to include these processes.
Guanyu Liu, Jing Li, and Tong Ying
Atmos. Chem. Phys., 23, 9217–9228, https://doi.org/10.5194/acp-23-9217-2023, https://doi.org/10.5194/acp-23-9217-2023, 2023
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Fires in Australia are positively correlated with the El Niño–Southern Oscillation (ENSO). However, the correlation between ENSO and the Australian Fire Weather Index (FWI) increases from 0.17 to 0.70 when the Atlantic Multidecadal Oscillation (AMO) shifts from a negative to positive phase. This is explained by the teleconnection effect through which the warmer AMO generates Rossby wave trains and results in high pressures and a weather condition conducive to wildfires.
Leighton A. Regayre, Lucia Deaconu, Daniel P. Grosvenor, David M. H. Sexton, Christopher Symonds, Tom Langton, Duncan Watson-Paris, Jane P. Mulcahy, Kirsty J. Pringle, Mark Richardson, Jill S. Johnson, John W. Rostron, Hamish Gordon, Grenville Lister, Philip Stier, and Ken S. Carslaw
Atmos. Chem. Phys., 23, 8749–8768, https://doi.org/10.5194/acp-23-8749-2023, https://doi.org/10.5194/acp-23-8749-2023, 2023
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Aerosol forcing of Earth’s energy balance has persisted as a major cause of uncertainty in climate simulations over generations of climate model development. We show that structural deficiencies in a climate model are exposed by comprehensively exploring parametric uncertainty and that these deficiencies limit how much the model uncertainty can be reduced through observational constraint. This provides a future pathway towards building models with greater physical realism and lower uncertainty.
Chenwei Fang, Jim M. Haywood, Ju Liang, Ben T. Johnson, Ying Chen, and Bin Zhu
Atmos. Chem. Phys., 23, 8341–8368, https://doi.org/10.5194/acp-23-8341-2023, https://doi.org/10.5194/acp-23-8341-2023, 2023
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The responses of Asian summer monsoon duration and intensity to air pollution mitigation are identified given the net-zero future. We show that reducing scattering aerosols makes the rainy season longer and stronger across South Asia and East Asia but that absorbing aerosol reduction has the opposite effect. Our results hint at distinct monsoon responses to emission controls that target different aerosols.
Yue Peng, Hong Wang, Xiaoye Zhang, Zhaodong Liu, Wenjie Zhang, Siting Li, Chen Han, and Huizheng Che
Atmos. Chem. Phys., 23, 8325–8339, https://doi.org/10.5194/acp-23-8325-2023, https://doi.org/10.5194/acp-23-8325-2023, 2023
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This study demonstrates a strong link between local circulation, aerosol–radiation interaction (ARI), and haze pollution. Under the weak weather-scale systems, the typical local circulation driven by mountainous topography is the main cause of pollutant distribution in the Beijing–Tianjin–Hebei region, and the ARI mechanism amplifies this influence of local circulation on pollutants, making haze pollution aggravated by the superposition of both.
Yuan Zhao, Xu Yue, Yang Cao, Jun Zhu, Chenguang Tian, Hao Zhou, Yuwen Chen, Yihan Hu, Weijie Fu, and Xu Zhao
Atmos. Chem. Phys., 23, 7823–7838, https://doi.org/10.5194/acp-23-7823-2023, https://doi.org/10.5194/acp-23-7823-2023, 2023
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We project the future changes of dust emissions and loading using an ensemble of model outputs from the Coupled Model Intercomparison Project version 6 under four scenarios. We find increased dust emissions and loading in North Africa, due to increased drought and strengthened surface wind, and decreased dust loading over Asia, following enhanced precipitation. Such a spatial pattern remains similar, though the regional intensity varies among different scenarios.
Ryan Schmedding and Andreas Zuend
Atmos. Chem. Phys., 23, 7741–7765, https://doi.org/10.5194/acp-23-7741-2023, https://doi.org/10.5194/acp-23-7741-2023, 2023
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Aerosol particles below 100 nm in diameter have high surface-area-to-volume ratios. The enrichment of compounds in the surface of an aerosol particle may lead to depletion of that species in the interior bulk of the particle. We present a framework for modeling the equilibrium bulk–surface partitioning of mixed organic–inorganic particles, including cases of co-condensation of semivolatile organic compounds and species with extremely limited solubility in the bulk or surface of a particle.
Daniel P. Grosvenor and Kenneth S. Carslaw
Atmos. Chem. Phys., 23, 6743–6773, https://doi.org/10.5194/acp-23-6743-2023, https://doi.org/10.5194/acp-23-6743-2023, 2023
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We determine what causes long-term trends in short-wave (SW) radiative fluxes in two climate models. A positive trend occurs between 1850 and 1970 (increasing SW reflection) and a negative trend between 1970 and 2014; the pre-1970 positive trend is mainly driven by an increase in cloud droplet number concentrations due to increases in aerosol, and the 1970–2014 trend is driven by a decrease in cloud fraction, which we attribute to changes in clouds caused by greenhouse gas-induced warming.
Danny M. Leung, Jasper F. Kok, Longlei Li, Gregory S. Okin, Catherine Prigent, Martina Klose, Carlos Pérez García-Pando, Laurent Menut, Natalie M. Mahowald, David M. Lawrence, and Marcelo Chamecki
Atmos. Chem. Phys., 23, 6487–6523, https://doi.org/10.5194/acp-23-6487-2023, https://doi.org/10.5194/acp-23-6487-2023, 2023
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Desert dust modeling is important for understanding climate change, as dust regulates the atmosphere's greenhouse effect and radiation. This study formulates and proposes a more physical and realistic desert dust emission scheme for global and regional climate models. By considering more aeolian processes in our emission scheme, our simulations match better against dust observations than existing schemes. We believe this work is vital in improving dust representation in climate models.
Calvin Howes, Pablo E. Saide, Hugh Coe, Amie Nicole Dobracki, Steffen Freitag, Jim M. Haywood, Steven G. Howell, Siddhant Gupta, Janek Uin, Mary Kacarab, Chongai Kuang, L. Ruby Leung, Athanasios Nenes, Greg McFarquhar, Jens Redemann, Arther J. Sedlacek, Kenneth L. Thornhill, Jenny P. S. Wong, Robert Wood, Huihui Wu, Yang Zhang, Jianhao Zhang, and Paquita Zuidema
EGUsphere, https://doi.org/10.5194/egusphere-2023-886, https://doi.org/10.5194/egusphere-2023-886, 2023
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To better understand smoke properties and its interactions with clouds, we compare WRF-CAM5 with observations from ORACLES, CLARIFY, and LASIC field campaigns in the Southeastern Atlantic in August 2017. The model transports and mixes smoke well but is not fully capturing some important processes. These include smoke chemical and physical aging over 4–12 days, smoke removal by rain, new particle formation, aerosol activation into cloud droplets, and boundary layer turbulence.
Neeldip Barman and Sharad Gokhale
Atmos. Chem. Phys., 23, 6197–6215, https://doi.org/10.5194/acp-23-6197-2023, https://doi.org/10.5194/acp-23-6197-2023, 2023
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The study shows that during the pre-monsoon season transported aerosols, especially from the Indo-Gangetic Plain (IGP), have a greater impact with respect to air pollution, radiative forcing and rainfall over north-east (NE) India than emissions from within NE India itself. Hence, controlling emissions in the IGP will be significantly more fruitful in reducing pollution as well as climatic impacts over this region.
Huan Yang, Ivo Neefjes, Valtteri Tikkanen, Jakub Kubečka, Theo Kurtén, Hanna Vehkamäki, and Bernhard Reischl
Atmos. Chem. Phys., 23, 5993–6009, https://doi.org/10.5194/acp-23-5993-2023, https://doi.org/10.5194/acp-23-5993-2023, 2023
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We present a new analytical model for collision rates between molecules and clusters of arbitrary sizes, accounting for long-range interactions. The model is verified against atomistic simulations of typical acid–base clusters participating in atmospheric new particle formation (NPF). Compared to non-interacting models, accounting for long-range interactions leads to 2–3 times higher collision rates for small clusters, indicating the necessity of including such interactions in NPF modeling.
Da Gao, Bin Zhao, Shuxiao Wang, Yuan Wang, Brain Gaudet, Yun Zhu, Xiaochun Wang, Jiewen Shen, Shengyue Li, Yicong He, Dejia Yin, and Zhaoxin Dong
EGUsphere, https://doi.org/10.5194/egusphere-2023-502, https://doi.org/10.5194/egusphere-2023-502, 2023
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Surface PM2.5 concentrations can be enhanced by aerosol-radiation interaction (ARI) and aerosol-cloud interaction (ACI). In this study, we found the ACI-induced PM2.5 enhancement shows a significantly smaller decrease ratio than the ARI-induced enhancement in China with anthropogenic emission reduction from 2013 to 2021, making ACI more important for enhancing PM2.5 concentrations. ACI-induced PM2.5 enhancement needs to be emphatically considered to meet the national PM2.5 air quality standard.
Haihui Zhu, Randall V. Martin, Betty Croft, Shixian Zhai, Chi Li, Liam Bindle, Jeffrey R. Pierce, Rachel Y.-W. Chang, Bruce E. Anderson, Luke D. Ziemba, Johnathan W. Hair, Richard A. Ferrare, Chris A. Hostetler, Inderjeet Singh, Deepangsu Chatterjee, Jose L. Jimenez, Pedro Campuzano-Jost, Benjamin A. Nault, Jack E. Dibb, Joshua S. Schwarz, and Andrew Weinheimer
Atmos. Chem. Phys., 23, 5023–5042, https://doi.org/10.5194/acp-23-5023-2023, https://doi.org/10.5194/acp-23-5023-2023, 2023
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Particle size of atmospheric aerosol is important for estimating its climate and health effects, but simulating atmospheric aerosol size is computationally demanding. This study derives a simple parameterization of the size of organic and secondary inorganic ambient aerosol that can be applied to atmospheric models. Applying this parameterization allows a better representation of the global spatial pattern of aerosol size, as verified by ground and airborne measurements.
Michael Weger and Bernd Heinold
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2023-33, https://doi.org/10.5194/acp-2023-33, 2023
Revised manuscript accepted for ACP
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This study investigates the effects of complex terrain on air pollution trapping using a numerical model, which simulates the dispersion of emissions under real meteorological conditions. The additionally simulated aerosol age allows distinguishing areas that accumulate aerosol over time from the areas that are more influenced by fresh emissions. The Dresden Basin, a widened section of the Elbe Valley in eastern Germany, is selected as the target area in a case study to demonstrate the concept.
Mengjiao Jiang, Yaoting Li, Weiji Hu, Yinshan Yang, Guy Brasseur, and Xi Zhao
Atmos. Chem. Phys., 23, 4545–4557, https://doi.org/10.5194/acp-23-4545-2023, https://doi.org/10.5194/acp-23-4545-2023, 2023
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Relatively clean background aerosol over the Tibetan Plateau makes the study of aerosol–cloud–precipitation interactions distinctive. A convection on 24 July 2014 in Naqu was selected using the Weather Research Forecasting (WRF) model, including the Thompson aerosol-aware microphysical scheme. Our study uses a compromise approach to the limited observations. We show that the transformation of cloud water to graupel and the development of convective clouds are favored in a polluted situation.
Pantelis Kiriakidis, Antonis Gkikas, Georgios Papangelis, Theodoros Christoudias, Jonilda Kushta, Emmanouil Proestakis, Anna Kampouri, Eleni Marinou, Eleni Drakaki, Angela Benedetti, Michael Rennie, Christian Retscher, Anne Grete Straume, Alexandru Dandocsi, Jean Sciare, and Vasilis Amiridis
Atmos. Chem. Phys., 23, 4391–4417, https://doi.org/10.5194/acp-23-4391-2023, https://doi.org/10.5194/acp-23-4391-2023, 2023
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With the launch of the Aeolus satellite, higher-accuracy wind products became available. This research was carried out to validate the assimilated wind products by testing their effect on the WRF-Chem model predictive ability of dust processes. This was carried out for the eastern Mediterranean and Middle East region for two 2-month periods in autumn and spring 2020. The use of the assimilated products improved the dust forecasts of the autumn season (both quantitatively and qualitatively).
Ian Chang, Lan Gao, Connor J. Flynn, Yohei Shinozuka, Sarah J. Doherty, Michael S. Diamond, Karla M. Longo, Gonzalo A. Ferrada, Gregory R. Carmichael, Patricia Castellanos, Arlindo M. da Silva, Pablo E. Saide, Calvin Howes, Zhixin Xue, Marc Mallet, Ravi Govindaraju, Qiaoqiao Wang, Yafang Cheng, Yan Feng, Sharon P. Burton, Richard A. Ferrare, Samuel E. LeBlanc, Meloë S. Kacenelenbogen, Kristina Pistone, Michal Segal-Rozenhaimer, Kerry G. Meyer, Ju-Mee Ryoo, Leonhard Pfister, Adeyemi A. Adebiyi, Robert Wood, Paquita Zuidema, Sundar A. Christopher, and Jens Redemann
Atmos. Chem. Phys., 23, 4283–4309, https://doi.org/10.5194/acp-23-4283-2023, https://doi.org/10.5194/acp-23-4283-2023, 2023
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Abundant aerosols are present above low-level liquid clouds over the southeastern Atlantic during late austral spring. The model simulation differences in the proportion of aerosol residing in the planetary boundary layer and in the free troposphere can greatly affect the regional aerosol radiative effects. This study examines the aerosol loading and fractional aerosol loading in the free troposphere among various models and evaluates them against measurements from the NASA ORACLES campaign.
Juli I. Rubin, Jeffrey S. Reid, Peng Xian, Christopher M. Selman, and Thomas F. Eck
Atmos. Chem. Phys., 23, 4059–4090, https://doi.org/10.5194/acp-23-4059-2023, https://doi.org/10.5194/acp-23-4059-2023, 2023
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This work aims to quantify the covariability between aerosol optical depth/extinction with water vapor (PW) globally, using NASA AERONET observations and NAAPS model data. Findings are important for data assimilation and radiative transfer. The study shows statistically significant and positive AOD–PW relationships are found across the globe, varying in strength with location and season and tied to large-scale aerosol events. Hygroscopic growth was also found to be an important factor.
Christopher D. Wells, Matthew Kasoar, Nicolas Bellouin, and Apostolos Voulgarakis
Atmos. Chem. Phys., 23, 3575–3593, https://doi.org/10.5194/acp-23-3575-2023, https://doi.org/10.5194/acp-23-3575-2023, 2023
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The climate is altered by greenhouse gases and air pollutant particles, and such emissions are likely to change drastically in the future over Africa. Air pollutants do not travel far, so their climate effect depends on where they are emitted. This study uses a climate model to find the climate impacts of future African pollutant emissions being either high or low. The particles absorb and scatter sunlight, causing the ground nearby to be cooler, but elsewhere the increased heat causes warming.
Geeta G. Persad
Atmos. Chem. Phys., 23, 3435–3452, https://doi.org/10.5194/acp-23-3435-2023, https://doi.org/10.5194/acp-23-3435-2023, 2023
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Human-induced aerosol pollution has major impacts on both local and global precipitation. This study demonstrates using a global climate model that both the strength and localization of aerosols' precipitation impacts are highly dependent on which region the aerosols are emitted from. The findings highlight that the geographic distribution of human-induced aerosol emissions must be accounted for when quantifying their influence on global precipitation.
Tuuli Miinalainen, Harri Kokkola, Antti Lipponen, Antti-Pekka Hyvärinen, Vijay Kumar Soni, Kari E. J. Lehtinen, and Thomas Kühn
Atmos. Chem. Phys., 23, 3471–3491, https://doi.org/10.5194/acp-23-3471-2023, https://doi.org/10.5194/acp-23-3471-2023, 2023
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We simulated the effects of aerosol emission mitigation on both global and regional radiative forcing and city-level air quality with a global-scale climate model. We used a machine learning downscaling approach to bias-correct the PM2.5 values obtained from the global model for the Indian megacity New Delhi. Our results indicate that aerosol mitigation could result in both improved air quality and less radiative heating for India.
Peng Wang, Ruhan Zhang, Shida Sun, Meng Gao, Bo Zheng, Dan Zhang, Yanli Zhang, Gregory R. Carmichael, and Hongliang Zhang
Atmos. Chem. Phys., 23, 2983–2996, https://doi.org/10.5194/acp-23-2983-2023, https://doi.org/10.5194/acp-23-2983-2023, 2023
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In China, the number of vehicles has jumped significantly in the last decade. This caused severe traffic congestion and aggravated air pollution. In this study, we developed a new temporal allocation approach to quantify the impacts of traffic congestion. We found that traffic congestion worsens air quality and the health burden across China, especially in the urban clusters. More effective and comprehensive vehicle emission control policies should be implemented to improve air quality in China.
Ruth Price, Andrea Baccarini, Julia Schmale, Paul Zieger, Ian M. Brooks, Paul Field, and Ken S. Carslaw
Atmos. Chem. Phys., 23, 2927–2961, https://doi.org/10.5194/acp-23-2927-2023, https://doi.org/10.5194/acp-23-2927-2023, 2023
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Arctic clouds can control how much energy is absorbed by the surface or reflected back to space. Using a computer model of the atmosphere we investigated the formation of atmospheric particles that allow cloud droplets to form. We found that particles formed aloft are transported to the lowest part of the Arctic atmosphere and that this is a key source of particles. Our results have implications for the way Arctic clouds will behave in the future as climate change continues to impact the region.
Kevin Ohneiser, Albert Ansmann, Jonas Witthuhn, Hartwig Deneke, Alexandra Chudnovsky, Gregor Walter, and Fabian Senf
Atmos. Chem. Phys., 23, 2901–2925, https://doi.org/10.5194/acp-23-2901-2023, https://doi.org/10.5194/acp-23-2901-2023, 2023
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This study shows that smoke layers can reach the tropopause via the self-lofting effect within 3–7 d in the absence of pyrocumulonimbus convection if the
aerosol optical thickness is larger than approximately 2 for a longer time period. When reaching the stratosphere, wildfire smoke can sensitively influence the stratospheric composition on a hemispheric scale and thus can affect the Earth’s climate and the ozone layer.
Matthias Kohl, Jos Lelieveld, Sourangsu Chowdhury, Sebastian Ehrhart, Disha Sharma, Yafang Cheng, Sachchida Nand Tripathi, Mathew Sebastian, Govindan Pandithurai, Hongli Wang, and Andrea Pozzer
EGUsphere, https://doi.org/10.5194/egusphere-2023-317, https://doi.org/10.5194/egusphere-2023-317, 2023
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Knowledge on atmospheric ultrafine particles (UFP) with a diameter smaller than 100 nm is crucial for public health and the hydrological cycle. We present a new global dataset of UFP concentrations at the Earth's surface derived with a comprehensive chemistry climate model, and evaluated with ground-based observations. The evaluation results are combined with high-resolution primary emissions to downscale UFP concentrations to an unprecedented horizontal resolution of 0.1° x 0.1°.
Marios Chatziparaschos, Nikos Daskalakis, Stelios Myriokefalitakis, Nikos Kalivitis, Athanasios Nenes, María Gonçalves Ageitos, Montserrat Costa-Surós, Carlos Pérez García-Pando, Medea Zanoli, Mihalis Vrekoussis, and Maria Kanakidou
Atmos. Chem. Phys., 23, 1785–1801, https://doi.org/10.5194/acp-23-1785-2023, https://doi.org/10.5194/acp-23-1785-2023, 2023
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Ice formation is enabled by ice-nucleating particles (INP) at higher temperatures than homogeneous formation and can profoundly affect the properties of clouds. Our global model results show that K-feldspar is the most important contributor to INP concentrations globally, affecting mid-level mixed-phase clouds. However, quartz can significantly contribute and dominates the lowest and the highest altitudes of dust-derived INP, affecting mainly low-level and high-level mixed-phase clouds.
Chandan Sarangi, Yun Qian, L. Ruby Leung, Yang Zhang, Yufei Zou, and Yuhang Wang
Atmos. Chem. Phys., 23, 1769–1783, https://doi.org/10.5194/acp-23-1769-2023, https://doi.org/10.5194/acp-23-1769-2023, 2023
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We show that for air quality, the densely populated eastern US may see even larger impacts of wildfires due to long-distance smoke transport and associated positive climatic impacts, partially compensating the improvements from regulations on anthropogenic emissions. This study highlights the tension between natural and anthropogenic contributions and the non-local nature of air pollution that complicate regulatory strategies for improving future regional air quality for human health.
Lambert Delbeke, Chien Wang, Pierre Tulet, Cyrielle Denjean, Maurin Zouzoua, Nicolas Maury, and Adrien Deroubaix
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-856, https://doi.org/10.5194/acp-2022-856, 2023
Revised manuscript accepted for ACP
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Low-Level Stratiform Clouds (LLSC) appear frequently over southern West Africa and during West African Monsoon local and remote aerosol sources (biomass burning aerosol from Central Africa) play a significant role in LLSC life cycle. Based on measurements of DACCIWA campaign, Large Eddy Simulations (LES) were driven using different aerosols scenarios showing indirect effect depends on microphysics and cloud-void spaces. Absorbing particles produced a strong semi-direct effect stabilizing clouds.
Rémy Lapere, Nicolás Huneeus, Sylvain Mailler, Laurent Menut, and Florian Couvidat
Atmos. Chem. Phys., 23, 1749–1768, https://doi.org/10.5194/acp-23-1749-2023, https://doi.org/10.5194/acp-23-1749-2023, 2023
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Glaciers in the Andes of central Chile are shrinking rapidly in response to global warming. This melting is accelerated by the deposition of opaque particles onto snow and ice. In this work, model simulations quantify typical deposition rates of soot on glaciers in summer and winter months and show that the contribution of emissions from Santiago is not as high as anticipated. Additionally, the combination of regional- and local-scale meteorology explains the seasonality in deposition.
Ju Liang and Jim Haywood
Atmos. Chem. Phys., 23, 1687–1703, https://doi.org/10.5194/acp-23-1687-2023, https://doi.org/10.5194/acp-23-1687-2023, 2023
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The recent record-breaking flood events in China during the summer of 2021 highlight the importance of mitigating the risks from future changes in high-impact weather systems under global warming. Based on a state-of-the-art Earth system model, we demonstrate a pilot study on the responses of atmospheric rivers and extreme precipitation over East Asia to anthropogenically induced climate warming and an unconventional mitigation strategy – stratospheric aerosol injection.
Azad Madhu, Myoseon Jang, and David Deacon
Atmos. Chem. Phys., 23, 1661–1675, https://doi.org/10.5194/acp-23-1661-2023, https://doi.org/10.5194/acp-23-1661-2023, 2023
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SOA formation is simulated using the UNIPAR model for series of linear alkanes. The inclusion of autoxidation reactions within the explicit gas mechanisms of C9–C12 was found to significantly improve predictions. Available product distributions were extrapolated with an incremental volatility coefficient (IVC) to predict SOA formation of alkanes without explicit mechanisms. These product distributions were used to simulate SOA formation from C13 and C15 and had good agreement with chamber data.
Jianbing Jin, Bas Henzing, and Arjo Segers
Atmos. Chem. Phys., 23, 1641–1660, https://doi.org/10.5194/acp-23-1641-2023, https://doi.org/10.5194/acp-23-1641-2023, 2023
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Aerosol models and satellite retrieval algorithms rely on different aerosol size assumptions. In practice, differences between simulations and observations do not always reflect the difference in aerosol amount. To avoid inconsistencies, we designed a hybrid assimilation approach. Different from a standard aerosol optical depth (AOD) assimilation that directly assimilates AODs, the hybrid one estimates aerosol size parameters by assimilating Ängström observations before assimilating the AODs.
Je-Yun Chun, Robert Wood, Peter Blossey, and Sarah J. Doherty
Atmos. Chem. Phys., 23, 1345–1368, https://doi.org/10.5194/acp-23-1345-2023, https://doi.org/10.5194/acp-23-1345-2023, 2023
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We investigate the impact of injected aerosol on subtropical low marine clouds under a variety of meteorological conditions using high-resolution model simulations. This study illustrates processes perturbed by aerosol injections and their impact on cloud properties (e.g., cloud number concentration, thickness, and cover). We show that those responses are highly sensitive to background meteorological conditions, such as precipitation, and background cloud properties.
Nora L. S. Fahrenbach and Massimo A. Bollasina
Atmos. Chem. Phys., 23, 877–894, https://doi.org/10.5194/acp-23-877-2023, https://doi.org/10.5194/acp-23-877-2023, 2023
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We studied the monthly-scale climate response to COVID-19 aerosol emission reductions during January–May 2020 using climate models. Our results show global temperature and rainfall anomalies driven by circulation changes. The climate patterns reverse polarity from JF to MAM due to a shift in the main SO2 reduction region from China to India. This real-life example of rapid climate adjustments to abrupt, regional aerosol emission reduction has large implications for future climate projections.
Seoung Soo Lee, Junshik Um, Won Jun Choi, Kyung-Ja Ha, Chang Hoon Jung, Jianping Guo, and Youtong Zheng
Atmos. Chem. Phys., 23, 273–286, https://doi.org/10.5194/acp-23-273-2023, https://doi.org/10.5194/acp-23-273-2023, 2023
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This paper elaborates on process-level mechanisms regarding how the interception of radiation by aerosols interacts with the surface heat fluxes and atmospheric instability in warm cumulus clouds. This paper elucidates how these mechanisms vary with the location or altitude of an aerosol layer. This elucidation indicates that the location of aerosol layers should be taken into account for parameterizations of aerosol–cloud interactions.
Miaoqing Xu, Jing Yang, Manchun Li, Xiao Chen, Qiancheng lv, Qi Yao, Bingbo Gao, and Ziyue Chen
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-818, https://doi.org/10.5194/acp-2022-818, 2023
Revised manuscript accepted for ACP
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Although the temporal-scale effects on Meteorology-PM2.5 associations have been discussed, no quantitative evidence proved this before. Based on a rare 3 h-meteorology data, we revealed that the dominant meteorological factor for PM2.5 concentrations across China extracted at the 3 h and 24 h scale presented large variations. This research suggested that data sources of different temporal scales should be comprehensively considered for better attribution and prevention airborne pollution.
Meredith Schervish and Manabu Shiraiwa
Atmos. Chem. Phys., 23, 221–233, https://doi.org/10.5194/acp-23-221-2023, https://doi.org/10.5194/acp-23-221-2023, 2023
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Secondary organic aerosols (SOAs) can exhibit complex non-ideal behavior and adopt an amorphous semisolid state. We simulate condensation of semi-volatile compounds into a phase-separated particle to investigate the effect of non-ideality and particle phase state on the equilibration timescale of SOA partitioning. Our results provide useful insights into the interpretation of experimental observations and the description and treatment of SOA in aerosol models.
Christof G. Beer, Johannes Hendricks, and Mattia Righi
Atmos. Chem. Phys., 22, 15887–15907, https://doi.org/10.5194/acp-22-15887-2022, https://doi.org/10.5194/acp-22-15887-2022, 2022
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Ice-nucleating particles (INPs) have important influences on cirrus clouds and the climate system; however, their global atmospheric distribution in the cirrus regime is still very uncertain. We present a global climatology of INPs under cirrus conditions derived from model simulations, considering the mineral dust, soot, crystalline ammonium sulfate, and glassy organics INP types. The comparison of respective INP concentrations indicates the large importance of ammonium sulfate particles.
Mykhailo Savenets, Larysa Pysarenko, Svitlana Krakovska, Alexander Mahura, and Tuukka Petäjä
Atmos. Chem. Phys., 22, 15777–15791, https://doi.org/10.5194/acp-22-15777-2022, https://doi.org/10.5194/acp-22-15777-2022, 2022
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The paper explores the spatio-temporal variability of black carbon during a wildfire in August 2010, with a focus on Ukraine. As a research tool, the seamless Enviro-HIRLAM modelling system is used for investigating the atmospheric transport of aerosol particles emitted by wildfires from remote and local sources. The results of this study improve our understanding of the physical and chemical processes and the interactions of aerosols in the atmosphere.
Huilin Huang, Yun Qian, Ye Liu, Cenlin He, Jianyu Zheng, Zhibo Zhang, and Antonis Gkikas
Atmos. Chem. Phys., 22, 15469–15488, https://doi.org/10.5194/acp-22-15469-2022, https://doi.org/10.5194/acp-22-15469-2022, 2022
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Using a clustering method developed in the field of artificial neural networks, we identify four typical dust transport patterns across the Sierra Nevada, associated with the mesoscale and regional-scale wind circulations. Our results highlight the connection between dust transport and dominant weather patterns, which can be used to understand dust transport in a changing climate.
Anbao Zhu, Haiming Xu, Jiechun Deng, Jing Ma, and Shaofeng Hua
Atmos. Chem. Phys., 22, 15425–15447, https://doi.org/10.5194/acp-22-15425-2022, https://doi.org/10.5194/acp-22-15425-2022, 2022
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This study demonstrates the instant and delayed effects of biomass burning (BB) aerosols on precipitation over the Indochina Peninsula (ICP). The convection suppression due to the BB aerosol-induced stabilized atmosphere dominates over the favorable water-vapor condition induced by large-scale circulation responses, leading to an overall reduced precipitation in March, while the delayed effect promotes precipitation from early April to mid April due to the anomalous atmospheric circulations.
Wenjie Zhang, Hong Wang, Xiaoye Zhang, Liping Huang, Yue Peng, Zhaodong Liu, Xiao Zhang, and Huizheng Che
Atmos. Chem. Phys., 22, 15207–15221, https://doi.org/10.5194/acp-22-15207-2022, https://doi.org/10.5194/acp-22-15207-2022, 2022
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Aerosol–cloud interaction (ACI) is first implemented in the atmospheric chemistry system GRAPES_Meso5.1/CUACE. ACI can improve the simulated cloud, temperature, and precipitation under haze pollution conditions in Jing-Jin-Ji in China. This paper demonstrates the critical role of ACI in current numerical weather prediction over the severely polluted region.
Santeri Tuovinen, Runlong Cai, Veli-Matti Kerminen, Jingkun Jiang, Chao Yan, Markku Kulmala, and Jenni Kontkanen
Atmos. Chem. Phys., 22, 15071–15091, https://doi.org/10.5194/acp-22-15071-2022, https://doi.org/10.5194/acp-22-15071-2022, 2022
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We compare observed survival probabilities of atmospheric particles from Beijing, China, with survival probabilities based on analytical formulae and model simulations. We find observed survival probabilities under polluted conditions at smaller sizes to be higher, while at larger sizes they are lower than or similar to theoretical survival probabilities. Uncertainties in condensation sink and growth rate are unlikely to explain higher-than-predicted survival probabilities at smaller sizes.
Stephanie Woodward, Alistair A. Sellar, Yongming Tang, Marc Stringer, Andrew Yool, Eddy Robertson, and Andy Wiltshire
Atmos. Chem. Phys., 22, 14503–14528, https://doi.org/10.5194/acp-22-14503-2022, https://doi.org/10.5194/acp-22-14503-2022, 2022
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We describe the dust scheme in the UKESM1 Earth system model and show generally good agreement with observations. Comparing with the closely related HadGEM3-GC3.1 model, we show that dust differences are not only due to inter-model differences but also to the dust size distribution. Under climate change, HadGEM3-GC3.1 dust hardly changes, but UKESM1 dust decreases because that model includes the vegetation response which, in our models, has a bigger impact on dust than climate change itself.
Yang Yang, Liangying Zeng, Hailong Wang, Pinya Wang, and Hong Liao
Atmos. Chem. Phys., 22, 14489–14502, https://doi.org/10.5194/acp-22-14489-2022, https://doi.org/10.5194/acp-22-14489-2022, 2022
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Using an aerosol–climate model, dust pollution in China affected by different spatial and temporal types of El Niño are examined. Both eastern and central Pacific El Niño and short-duration El Niño increase winter dust concentrations over northern China, while long-duration El Niño decreases concentrations. Only long-duration El Niño events can significantly affect dust over China in the following spring. This study has profound implications for air pollution control and dust storm prediction.
Robin Stevens, Andrei Ryjkov, Mahtab Majdzadeh, and Ashu Dastoor
Atmos. Chem. Phys., 22, 13527–13549, https://doi.org/10.5194/acp-22-13527-2022, https://doi.org/10.5194/acp-22-13527-2022, 2022
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Absorbing particles like black carbon can be coated with other matter. How much radiation these particles absorb depends on the coating thickness. The removal of these particles by clouds and rain depends on the coating composition. These effects are important for both climate and air quality. We implement a more detailed representation of these particles in an air quality model which accounts for both coating thickness and composition. We find a significant effect on particle concentrations.
Cited articles
Allen, R. J., Norris, J. R., and Kovilakam, M.: Influence of anthropogenic
aerosols and the Pacific Decadal Oscillation on tropical belt width,
Nat. Geosci., 7, 270–274, https://doi.org/10.1038/ngeo2091, 2014. a, b
Andreae, M. O., Jones, C. D., and Cox, P. M.: Strong present-day aerosol
cooling implies a hot future, Nature, 435, 1187–1190,
https://doi.org/10.1038/nature03671, 2005. a
Andrianakis, I., Vernon, I., McCreesh, N., McKinley, T. J., Oakley, J. E.,
Nsubuga, R. N., Goldstein, M., and White, R. G.: History matching of a
complex epidemiological model of human immunodeficiency virus transmission by
using variance emulation, J. Roy. Stat. Soc. C-App.,
66, 717–740, https://doi.org/10.1111/rssc.12198, 2017. a
Barker, H. W. and Räisänen, P.: Radiative sensitivities for cloud
structural properties that are unresolved by conventional GCMs, Q. J. Roy. Meteor. Soc., 131, 3103–3122, https://doi.org/10.1256/qj.04.174,
2005. a
Barrett, T. J., Brattström, S., Sharma, S., Worthy, D. E. J., and Novelli,
P.: The role of scavenging in the seasonal transport of black carbon and
sulfate to the Arctic, Geophys. Res. Lett., 38, L16805, https://doi.org/10.1029/2011GL048221, 2011. a
Bellucci, A., Mariotti, A., and Gualdi, S.: The role of forcings in the
Twentieth-Century North Atlantic multidecadal variability: The
1940–1975 North Atlantic cooling case study, J. Climate, 30,
7317–7337, https://doi.org/10.1175/JCLI-D-16-0301.1, 2017. a
Beven, K. and Freer, J.: Equifinality, data assimilation, and uncertainty
estimation in mechanistic modelling of complex environmental systems using
the GLUE methodology, J. Hydrol., 249, 11–29,
https://doi.org/10.1016/S0022-1694(01)00421-8, 2001. a, b
Bollasina, M. A., Ming, Y., and Ramaswamy, V.: Earlier onset of the Indian
monsoon in the late twentieth century: The role of anthropogenic aerosols,
Geophys. Res. Lett., 40, 3715–3720, https://doi.org/10.1002/grl.50719, 2013. a, b, c, d
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T.,
DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., Kinne, S.,
Kondo, Y., Quinn, P. K., Sarofim, M. C., Schultz, M. G., Schulz, M.,
Venkataraman, C., Zhang, H., Zhang, S., Bellouin, N., Guttikunda, S. K.,
Hopke, P. K., Jacobson, M. Z., Kaiser, J. W., Klimont, Z., Lohmann, U.,
Schwarz, J. P., Shindell, D., Storelvmo, T., Warren, S. G., and Zender,
C. S.: Bounding the role of black carbon in the climate system: A
scientific assessment, J. Geophys. Res.-Atmos., 118, 5380–5552,
https://doi.org/10.1002/jgrd.50171, 2013. a, b
Booth, B. B. B., Dunstone, N. J., Halloran, P. R., Andrews, T., and Bellouin,
N.: Aerosols implicated as a prime driver of twentieth-century North
Atlantic climate variability, Nature, 484, 228–232,
https://doi.org/10.1038/nature10946, 2012. a, b, c
Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster,
P., Kerminen, V. M., Kondo, Y., Liao, H., Lohmann, U., Rasch, P., Satheesh,
S. K., Sherwood, S., Stevens, B., and Zhang, X. Y.: Clouds and Aerosols, in:
Climate Change 2013: The Physical Science Basis. Contribution of Working
Group I to the Fifth Assessment Report of the Intergovernmental Panel on
Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G. K., Tignor,
M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley,
P. M., Cambridge University Press, Cambridge, United Kingdom and New York,
USA, 2013. a
Boutle, I. A., Abel, S. J., Hill, P. G., and Morcrette, C. J.: Spatial
variability of liquid cloud and rain: observations and microphysical effects,
Q. J. Roy. Meteor. Soc., 140, 585–594,
https://doi.org/10.1002/qj.2140, 2014. a
Browse, J., Carslaw, K. S., Arnold, S. R., Pringle, K., and Boucher, O.: The
scavenging processes controlling the seasonal cycle in Arctic sulphate and
black carbon aerosol, Atmos. Chem. Phys., 12, 6775–6798,
https://doi.org/10.5194/acp-12-6775-2012, 2012. a, b, c
Calisto, M., Folini, D., Wild, M., and Bengtsson, L.: Cloud radiative forcing
intercomparison between fully coupled CMIP5 models and CERES satellite
data, Ann. Geophys., 32, 793–807, https://doi.org/10.5194/angeo-32-793-2014, 2014. a
Carslaw, K. S., Lee, L. A., Reddington, C. L., Pringle, K. J., Rap, A.,
Forster, P. M., Mann, G. W., Spracklen, D. V., Woodhouse, M., Regayre, L. A.,
and Pierce, J. R.: Large contribution of natural aerosols to uncertainty in
indirect forcing, Nature, 503, 67–71, https://doi.org/10.1038/nature12674, 2013. a, b, c, d, e, f, g, h, i, j, k, l
Carslaw, K. S., Gordon, H., Hamilton, D. S., Johnson, J. S., Regayre, L. A.,
and Yoshioka, M.: Aerosols in the pre-industrial atmosphere, Curr. Clim. Change Rep., 3, 1–15, https://doi.org/10.1007/s40641-017-0061-2, 2017. a
Carslaw, K. S., Johnson, J. S., Regayre, L. A., and Lee, L. A.: Climate
models are uncertain, but we can do something about it, EOS, 99, https://doi.org/10.1029/2018EO093757., 2018. a
CERES: Clouds and the Earth's Radiant Energy System, available at: https://ceres.larc.nasa.gov/order_data.php, last access: August
2017. a
Chalmers, N., Highwood, E. J., Hawkins, E., Sutton, R., and Wilcox, L. J.:
Aerosol contribution to the rapid warming of near-term climate under RCP
2.6, Geophys. Res. Lett., 39, L18709, https://doi.org/10.1029/2012GL052848, 2012. a, b, c
Cherian, R., Quass, J., Salzmann, M., and Wild, M.: Pollution trends over
Europe constrain global aerosol forcing as simulated by climate models,
Geophys. Res. Lett., 41, 2176–2181, https://doi.org/10.1002/2013GL058715, 2014. a
Collins, M., Booth, B. B. B., Bhaskaran, B., Harris, G. R., Murphy, J. M.,
Sexton, D. M. H., and Webb, M. J.: Climate model errors, feedbacks and
forcings: a comparison of perturbed physics and multi-model ensembles, Clim. Dynam., 36, 1737–1766, 2010. a
Collins, M., Chandler, R. E., Cox, P. M., Huthnance, J. M., Rougier, J., and
Stephenson, D. B.: Quantifying future climate change, Nat. Clim. Change,
2, 403–409, 2012. a
Collins, M., Knutti, R., Arblaster, J., Dufresne, J. L., Fichefet, D.,
Friedlingstein, P., Gao, X., Gutowski, W. J., Johns, T., Krinner, G.,
Shongwe, M., Tebaldi, C., Weaver, A. J., and Wehner, M.: Long-term Climate
Change: Projections Commitments and Irreversibility, in: Climate Change
2013: The Physical Science Basis. Contribution of Working Group I to the
Fifth Assessment Report of the Intergovernmental Panel on Climate Change,
edited by: Stocker, T. F., Qin, D., Plattner, G. K., Tignor, M., Allen, S. K.,
Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge
University Press, Cambridge, United Kingdom and New York, NY, USA, 2013. a, b, c
Croft, B., Pierce, J. R., Martin, R. V., Hoose, C., and Lohmann, U.:
Uncertainty associated with convective wet removal of entrained aerosols in a
global climate model, Atmos. Chem. Phys., 12, 10725–10748,
https://doi.org/10.5194/acp-12-10725-2012, 2012. a, b
Dunstone, N. J., Smith, D. M., Booth, B. B. B., Hermanson, L., and Eade, R.:
Anthropogenic aerosol forcing of Atlantic tropical storms, Nat. Geosci.,
6, 534–539, https://doi.org/10.1038/ngeo1854, 2013. a
Flato, G., Marotzke, J., Abiodun, B., Braconnot, P., Chou, S. C., Collins, W.,
Cox, P., Driouech, F., Emori, S., Eyring, V., Forest, C., Glecker, P.,
Guilyardi, E., Jacob, C., Kattsov, V., Reason, C., and Rumukainen, M.:
Evaluation of Climate Models, in: Climate Change 2013: The Physical Science
Basis. Contribution of Working Group I to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D.,
Plattner, G. K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y.,
Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, United
Kingdom and New York, USA, 2013. a, b
Gantt, B., Johnson, M. S., Crippa, M., Prévôt, A. S. H., and
Meskhidze, N.: Implementing marine organic aerosols into the GEOS-Chem model,
Geosci. Model Dev., 8, 619–629, https://doi.org/10.5194/gmd-8-619-2015,
2015. a
Gettelman, A.: Putting the clouds back in aerosol-cloud interactions, Atmos.
Chem. Phys., 15, 12397–12411, https://doi.org/10.5194/acp-15-12397-2015,
2015. a, b
Gettleman, A., Kay, J. E., and Fasullo, J. T.: Spatial decomposition of climate
feedbacks in the Community Earth System Model, J. Climate, 26,
3544–3561, https://doi.org/10.1175/JCLI-D-12-00497.1, 2013. a
Ghan, S. J., Wang, M., Zhang, S., Ferrachat, S., Gettleman, A., Griesfeller,
J., Kipling, Z., Lohmann, U., Morrison, H., Neubauer, D., Partridge, D. G.,
Stier, P., Takemura, T., Wang, H., and Zhang, K.: Challenges in constraining
anthropogenic aerosol effects on cloud radiative forcing using present-day
spatiotemporal variability, Proc. Natl. Acad. Sci. USA, 113,
5804–5811, https://doi.org/10.1073/pnas.1514036113, 2016. a, b, c, d
Gnanadesikan, A., Scott, A. A., Pradal, M. A., and Seviour, W. J. M.: Regional
responses to black carbon aerosols: The importance of air-sea interaction,
J. Geophys. Res.-Atmos., 122, 12982–12999,
https://doi.org/10.1002/2017JD027589, 2017. a, b
Golaz, J. C., Horowitz, L. W., and II, H. L.: Cloud tuning in a coupled
climate model: impact on 20th century warming, Geophys. Res. Lett., 40, 2246–2251,
https://doi.org/10.1002/grl.50232, 2013. a, b
Goldstein, M. and Rougier, J.: Probabilistic formulations for transferring
inferences from mathematical models to physical systems, Siam, 26, 467–487,
https://doi.org/10.1137/S106482750342670X, 2004. a
Gordon, H., Kirkby, J., Baltensperger, U., Bianchi, F., Breitenlechner, M.,
Curtius, J., Dias, A., Dommen, J., Donahue, N. M., Dunne, E. M., Duplissy,
J., Ehrhart, S., Flagan, R. C., Frege, C., Fuchs, C., Hansel, A., Hoyle,
C. R., Kulmala, M., Kurten, A., Lehtipalo, K., Makhmutov, V., Molteni, U.,
Rissanen, M. P., Stozkhov, Y., Trostl, J., Tsagkogeorgas, G., Wagner, R.,
Williamson, C., Wimmer, D., Winkler, P. M., Yan, C., and Carslaw, K. S.:
Causes and importance of new particle formation in the present-day and
preindustrial atmospheres, J. Geophys. Res.-Atmos., 122, 8739–8760,
https://doi.org/10.1002/2017JD026844, 2017. a
Granier, C., Bessagnet, B., Bond, T., D'Angiola, A., van der Gon, H. D.,
Frost, G. J., Heli, A., Kaiser, J. W., Kinne, S., Kilmont, Z., Kloster, S.,
Lamarque, J. F., Liousse, C., Masui, T., Meleux, F., Mieville, A., Ohara, T.,
Raut, J. C., Riahi, K., Schultz, M. G., Smith, S. J., Thompson, A., van
Aardenne, J., van der Werf, G. R., and van Vuuren, D. P.: Evolution of
anthropogenic and biomass burning emissions of air pollutants at global and
regional scales during the 1980–2010 period, Climatic Change, 109, 163–190,
https://doi.org/10.1007/s10584-011-0154-1, 2011. a, b
Gryspeerdt, E., Quaas, J., Ferrachat, S., Gettelman, A., Ghan, S., Lohmann, U.,
Morrison, H., Neubauer, D., Partridge, D. G., Stier, P., Takemura, T., Wang,
H., Wang, M., and Zhang, K.: Constraining the instantaneous aerosol influence
on cloud albedo, Proc. Natl. Acad. Sci. USA, 114, 4899–4904,
https://doi.org/10.1073/pnas.1617765114, 2017. a
Guo, L., Highwood, E. J., Shaffrey, L. C., and Turner, A. G.: The effect of
regional changes in anthropogenic aerosols on rainfall of the East Asian
Summer Monsoon, Atmos. Chem. Phys., 13, 1521–1534,
https://doi.org/10.5194/acp-13-1521-2013, 2013. a
HadCRUT4: Met Office Hadley Centre observations dataset, HadCRUT4,
available at: https://www.metoffice.gov.uk/hadobs/hadcrut4, last
access: October 2017. a
HadGEM3: Met Office climate prediction model: HadGEM3 family, available at:
http://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadgem3,
last access: March 2017. a
Haerter, J. O., Roeckner, E., Tomassini, L., and von Storch, J. S.:
Parametric uncertainty effects on aerosol radiative forcing, Geophys. Res. Lett., 36, L15707, https://doi.org/10.1029/2009GL039050, 2009. a, b, c
Hamilton, D. S., Lee, L. A., Pringle, K. J., Reddington, C. L. S., Spracklen,
D. V., and Carslaw, K. S.: Occurrence of pristine aerosol on a polluted
planet, Proc. Natl. Acad. Sci. USA, 111, 18466–18471,
https://doi.org/10.1073/pnas.1415440111, 2014. a, b, c
Hartmann, D. L., A. M. G. Klein T., Rusticucci, M., Alexander, L. V.,
Brönnimann, S., Charabi, Y., Dentener, F. J., Dlugokencky, E. J.,
Easterling, D. R., Kaplan, A., Soden, B. J., Thorne, P. W., Wild, M., and
Zhai, P. M.: Observations: Atmosphere and Surface, in: Climate Change
2013: The Physical Science Basis. Contribution of Working Group
I to the Fifth Assessment Report of the Intergovernmental Panel
on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G. K.,
Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and
Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom
and New York, NY, USA, 2013. a, b
Hawkins, E., Ortega, P., Suckling, E., Schurer, A., Hergl, G., Jones, P.,
Joshi, M., Osborne, T., Masson-Delmotte, V., Mignot, J., Thorne, P., and
Jan van Oldenborgh, G.: Estimating changes in global temperature since the
preindustrial period, B. Am. Meteorol. Soc., 98, 1841–1856,
https://doi.org/10.1175/BAMS-D-16-0007.1, 2017. a
Hetzel, J.: Package `Trapezoid', available at: https://cran.r-project.org/web/packages/trapezoid/trapezoid.pdf (last access: 9 July 2018), 2012. a
Hourdin, F., Mauritsen, T., Gettleman, A., Golaz, J., Balaji, V., Duan, Q.,
Folini, D., Klocke, D. J. D., Qian, Y., Rauser, F., Rio, C., Tomassini, L.,
Watanabe, M., and Williamson, D.: The art and science of climate model
tuning, B. Am. Meteorol. Soc., 98, 589–602,
https://doi.org/10.1175/BAMS-D-15-00135.1, 2017. a
Johnson, J. S., Cui, Z., Lee, L. A., Gosling, J. P., Blyth, A. M., and Carslaw,
K. S.: Evaluating uncertainty in convective cloud microphysics using
statistical emulation, J. Adv. Model. Earth Sy., 7, 162–187,
https://doi.org/10.1002/2014MS000383, 2015. a, b
Johnson, J. S., Regayre, L. A., Yoshioka, M., Pringle, K. J., Lee, L. A.,
Sexton, D., Rostron, J., Booth, B. B. B., and Carslaw, K. S.: The importance
of comprehensive parameter sampling and multiple observations for robust
constraint of aerosol radiative forcing, Atmos. Chem. Phys. Discuss.,
https://doi.org/10.5194/acp-2018-174, in review, 2018. a, b
Karydis, V. A., Tsimpidi, A. P., Bacer, S., Pozzer, A., Nenes, A., and
Lelieveld, J.: Global impact of mineral dust on cloud droplet number
concentration, Atmos. Chem. Phys., 17, 5601–5621,
https://doi.org/10.5194/acp-17-5601-2017, 2017. a
Kasoar, M., Voulgarakis, A., Lamarque, J.-F., Shindell, D. T., Bellouin, N.,
Collins, W. J., Faluvegi, G., and Tsigaridis, K.: Regional and global
temperature response to anthropogenic SO2 emissions from China in
three climate models, Atmos. Chem. Phys., 16, 9785–9804,
https://doi.org/10.5194/acp-16-9785-2016, 2016. a
Kay, J. E., Hillman, B. R., Klein, S. A., Zhang, Y., Medeiros, B., Pincus, R.,
Gettleman, A., Eaton, B., Boyle, J., Marchand, R., and Ackerman, T. P.:
Exposing Global Cloud Biases in the Community Atmosphere Model (CAM)
Using Satellite Observations and Their Corresponding Instrument Simulators,
J. Climate, 25, 5190–5207, https://doi.org/10.1175/JCLI-D-11-00469.1, 2012. a
Khain, A. P., Ovtchinnikov, M., Pinsky, M., Potrovsky, A., and Krugliak, H.:
Notes on state-of-the-art numerical modeling of cloud microphysics, Atmos. Res., 55, 159–224, https://doi.org/10.1016/S0169-8095(00)00064-8, 2000. a
Kim, D., Chin, M., Yu, H. B., Diehl, T., Tan, Q., Kahn, R. A., Tsigaridis, K.,
Bauer, S. E., Takemura, T., Pozzoli, L., Bellouin, N., Schulz, M., Peyridieu,
S., Chedin, A., and Koffi, B.: Sources, sinks and transatlantic transport of
North African dust aerosol: A multimodel analysis and comparison with
remote sensing data, J. Geophys. Res.-Atmos., 119, 6259–6277,
https://doi.org/10.1002/2013JD021099, 2014. a
Kipling, Z., Stier, P., Johnson, C. E., Mann, G. W., Bellouin, N., Bauer, S.
E., Bergman, T., Chin, M., Diehl, T., Ghan, S. J., Iversen, T., Kirkevåg,
A., Kokkola, H., Liu, X., Luo, G., van Noije, T., Pringle, K. J., von Salzen,
K., Schulz, M., Seland, Ø., Skeie, R. B., Takemura, T., Tsigaridis, K.,
and Zhang, K.: What controls the vertical distribution of aerosol?
Relationships between process sensitivity in HadGEM3-UKCA and inter-model
variation from AeroCom Phase II, Atmos. Chem. Phys., 16, 2221–2241,
https://doi.org/10.5194/acp-16-2221-2016, 2016. a, b
Kirtman, B., Power, S. B., Adedoyin, J. A., Boer, G. J., Bojariu, R.,
Camilloni, I., Doblas-Reyes, F. J., Fiore, A. M., Kimoto, M., Meehl, G. A.,
Prather, M., Sarr, A., Schär, C., Sutton, R., van Oldenborgh, G. J.,
Vecchi, G., and Wang, H. J.: Near-term Climate Change: Projections and
Predictability, in: Climate Change 2013: The Physical Science
Basis. Contribution of Working Group I to the Fifth Assessment
Report of the Intergovernmental Panel on Climate Change, edited
by:
Stocker, T. F., Qin, D., Plattner, G. K., Tignor, M., Allen, S. K., Boschung,
J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University
Press, Cambridge, United Kingdom and New York, NY, USA, 2013. a, b, c, d
Knutti, R., Krähenmann, S., Frame, D. J., and Allen, M. R.: Comment on
“Heat capacity, time constant, and sensitivity of earth's climate system”
by SE Schwartz, J. Geophys. Res.-Atmos., 113, 1984–2012,
https://doi.org/10.1029/2007JD009473, 2008. a
Knutti, R., Masson, D., and Gettleman, A.: Climate model genealogy:
Generation CMIP5 and how we got there, Geophys. Res. Lett., 40,
1194–1199, https://doi.org/10.1002/grl.50256, 2013. a, b, c
Koffi, B., Schulz, M., Breon, F. M., Dentener, F., Steensen, B. M.,
Griesfeller, J., Winker, D., Balkanski, Y., Bauer, S. E., Bellouin, N.,
Berntsen, T., Bian, H. S., Chin, M., Diehl, T., Easter, R., Ghan, S.,
Hauglustaine, D. A., Iversen, T., Kirkevag, A., Liu, X. H., Lohmann, U.,
Myhre, G., Rasch, P., Seland, O., Skeie, R. B., Steenrod, S. D., Stier, P.,
Tackett, J., Takemura, T., Tsigaridis, K., Vuolo, M. R., Yoon, J., and Zhang,
K.: Evaluation of the aerosol vertical distribution in global aerosol models
through comparison against CALIOP measurements: AeroCom phase II results,
J. Geophys. Res.-Atmos., 121, 7254–7283, https://doi.org/10.1002/2015JD024639,
2016. a
Kooperman, G. J., Pritchard, M. S., Ghan, S. J., Wang, M., Somerville,
R. C. J., and Russell, L. M.: Constraining the influence of natural
variability to improve estimates of global aerosol indirect effects in a
nudged version of the Community Atmosphere Model 5, J. Geophys. Res.,
117, 1–16, https://doi.org/10.1029/2012JD018588, 2012. a
Korhonen, H., Carslaw, K. S., Spracklen, D. V., Mann, G. W., and Woodhouse,
M. T.: Influence of oceanic dimethyl sulfide emissions on cloud condensation
nuclei concentrations and seasonality over the remote Southern Hemisphere
oceans: A global model study, J. Geophys. Res., 113, 16, 2008. a
Kretzschmar, J., Salzmann, M., Mülmenstädt, J., Boucher, O., and Quass,
J.: Comment on Rethinking the Lower Bound on Aerosol Radiative
Forcing, J. Climate, 30, 6579–6584, https://doi.org/10.1175/JCLI-D-16-0668.1, 2017. a
Lacagnina, C., Hasekamp, O. P., Huisheng, B., Curci, G., Myhre, G., van Noije, T., Schulz, M., Skeie, R. B., Takemura, T., and Zhang, K.: Aerosol
single-scattering albedo over the global oceans: Comapring PARASOL
retrievals with AERONET, OMI, and AeroCom models estiamtes, J. Geophys. Res.-Atmos., 120, 9814–9836, https://doi.org/10.1002/2015JD023501, 2015. a, b
Lamarque, J.-F., Bond, T. C., Eyring, V., Granier, C., Heil, A., Klimont, Z.,
Lee, D., Liousse, C., Mieville, A., Owen, B., Schultz, M. G., Shindell, D.,
Smith, S. J., Stehfest, E., Van Aardenne, J., Cooper, O. R., Kainuma, M.,
Mahowald, N., McConnell, J. R., Naik, V., Riahi, K., and van Vuuren, D. P.:
Historical (1850–2000) gridded anthropogenic and biomass burning emissions of
reactive gases and aerosols: methodology and application, Atmos. Chem. Phys.,
10, 7017–7039, https://doi.org/10.5194/acp-10-7017-2010, 2010. a, b
Lebo, Z. J. and Feingold, G.: On the relationship between responses in cloud
water and precipitation to changes in aerosol, Atmos. Chem. Phys., 14,
11817–11831, https://doi.org/10.5194/acp-14-11817-2014, 2014. a
Lee, L. A., Carslaw, K. S., Pringle, K. J., Mann, G. W., and Spracklen, D.
V.: Emulation of a complex global aerosol model to quantify sensitivity to
uncertain parameters, Atmos. Chem. Phys., 11, 12253–12273,
https://doi.org/10.5194/acp-11-12253-2011, 2011. a
Lee, L. A., Carslaw, K. S., Pringle, K. J., and Mann, G. W.: Mapping the
uncertainty in global CCN using emulation, Atmos. Chem. Phys., 12,
9739–9751, https://doi.org/10.5194/acp-12-9739-2012, 2012. a, b
Lee, L. A., Pringle, K. J., Reddington, C. L., Mann, G. W., Stier, P.,
Spracklen, D. V., Pierce, J. R., and Carslaw, K. S.: The magnitude and causes
of uncertainty in global model simulations of cloud condensation nuclei,
Atmos. Chem. Phys., 13, 8879–8914, https://doi.org/10.5194/acp-13-8879-2013,
2013. a, b, c, d, e
Liu, X. H. and Wang, J. A.: How important is organic aerosol hygroscopicity to
aerosol indirect effect?, Environ. Res. Lett., 5, 044010,
https://doi.org/10.1088/1748-9326/5/4/044010, 2010. a
Liu, Y. and Gupta, H. V.: Uncertainties in hydrologic modeling: Toward an
integrated data assimilation framework, Water Resour. Res., 43, 1–17,
https://doi.org/10.1029/2006WR005756, 2007. a
Loeb, N. G., Wielicki, B. A., Doelling, D. R., Smith, G. L., Keyes, D. F.,
Kato, S., Manalo-Smith, N., and Wong, T.: Toward Optimal Closure of the
Earth's Top-of-Atmosphere Radiation Budget, J. Climate., 22, 748–766,
https://doi.org/10.1175/2008JCLI2637.1, 2009. a, b
Loeb, N. G., Kato, S., Su, W., Wong, T., Rose, F. G., Doelling, D. R., Norris,
J. R., and Huang, X.: Advances in Understanding Top-of-Atmosphere Radiation
Variability from Satellite Observations, Surv. Geophys., 33, 359–385,
https://doi.org/10.1007/s10712-012-9175-1, 2012. a
Lohmann, U.: Why does knowledge of past aerosol forcing matter for future
climate change?, J. Geophys. Res.-Atmos., 122, 5021–5023,
https://doi.org/10.1002/2017JD026962, 2017. a
Malavelle, F. F., Haywood, J. M., Ones, A. J., Gettleman, A., Larisse, L. C.,
Bauduin, S., Allan, R. P., Karset, I. H. H., Kristjansson, J. E., Oreopoulos,
L., Ho, N. C., Lee, D., Bellouin, N., Boucher, O., Grosvenor, D. P., Carslaw,
K. S., Dhomse, S., Mann, G. W., Schmidt, A., and M. E. Hartley, H. C.,
Dalvi, M., Hill, A. A., Johnson, B. T., Jphnson, C. E., Knight, J. R., Jeff,
R., O'Connor, F. M., Partridge, D. G., Stier, P., Myhre, G., Platnick, S.,
Stephens, G. L., Takahashi, H., and Thordarson, T.: Strong constraints on
aerosol-cloud interactions from volcanic eruptions, Nature, 543, 485–491,
https://doi.org/10.1038/nature22974, 2017. a, b, c, d
Manktelow, P. T., Carslaw, K. S., Mann, G. W., and Spracklen, D. V.: The
impact of dust on sulfate aerosol, CN and CCN during an East Asian dust
storm, Atmos. Chem. Phys., 10, 365–382,
https://doi.org/10.5194/acp-10-365-2010, 2010. a
Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P.
T., Chipperfield, M. P., Pickering, S. J., and Johnson, C. E.: Description
and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for
the UKCA composition-climate model, Geosci. Model Dev., 3, 519–551,
https://doi.org/10.5194/gmd-3-519-2010, 2010. a
Mann, G. W., Carslaw, K. S., Reddington, C. L., Pringle, K. J., Schulz, M.,
Asmi, A., Spracklen, D. V., Ridley, D. A., Woodhouse, M. T., Lee, L. A.,
Zhang, K., Ghan, S. J., Easter, R. C., Liu, X., Stier, P., Lee, Y. H., Adams,
P. J., Tost, H., Lelieveld, J., Bauer, S. E., Tsigaridis, K., van Noije, T.
P. C., Strunk, A., Vignati, E., Bellouin, N., Dalvi, M., Johnson, C. E.,
Bergman, T., Kokkola, H., von Salzen, K., Yu, F., Luo, G., Petzold, A.,
Heintzenberg, J., Clarke, A., Ogren, J. A., Gras, J., Baltensperger, U.,
Kaminski, U., Jennings, S. G., O'Dowd, C. D., Harrison, R. M., Beddows, D. C.
S., Kulmala, M., Viisanen, Y., Ulevicius, V., Mihalopoulos, N., Zdimal, V.,
Fiebig, M., Hansson, H.-C., Swietlicki, E., and Henzing, J. S.:
Intercomparison and evaluation of global aerosol microphysical properties
among AeroCom models of a range of complexity, Atmos. Chem. Phys., 14,
4679–4713, https://doi.org/10.5194/acp-14-4679-2014, 2014. a, b
Mauritsen, T., Stevens, B., Roeckner, E., Crueger, T., Esch, M., Giorgetta, M.,
Haak, H., Jungclaus, J., Klocke, D., Matei, D., Mikolajewicz, U., Notz, D.,
Pincus, R., Schmidt, H., and Tomassini, L.: Tuning the climate of a global
model, J. Adv. Model. Earth Sy., 4, M00A01,
https://doi.org/10.1029/2012MS000154, 2012. a, b
Metzger, A., Verheggen, B., Dommen, J., Duplissy, J., Prevot, A. S. H.,
Weingartner, E., Riipinen, I., Kulmala, M., Spracklen, D. V., Carslaw, K. S.,
and Baltensperger, U.: Evidence for the role of organics in aerosol particle
formation under atmospheric conditions, Proc. Natl. Acad. Sci. USA, 107,
6646–6651, https://doi.org/10.1073/pnas.0911330107, 2010. a
Michibata, T. and Takemura, T.: Evaluation of autoconversion schemes in a
single model framework with satellite observations, J. Geophys. Res.-Atmos., 120, 1–21, https://doi.org/10.1002/2015JD023818-T, 2015. a, b
Morgan, M. G., Adams, P. J., and Keith, D. W.: Elicitation of expert judgements
about aerosol forcing, Climatic Change, 75, 195–214,
https://doi.org/10.1007/s10584-005-9025-y, 2006. a
Myhre, G., Shindell, D., Bréon, F. M., Collins, W., Fuglestvedt, J., Huang,
J., Koch, D., Lamarque, J. F., Lee, D., Mendoza, B., Nakajima, T., Robock,
A., Stephens, G., Takemura, T., and Zhang, H.: Anthropogenic and Natural
Radiative Forcing, in: Climate Change 2013: The Physical Science
Basis. Contribution of Working Group I to the Fifth Assessment
Report of the Intergovernmental Panel on Climate Change, edited
by:
Stocker, T. F., Qin, D., Plattner, G. K., Tignor, M., Allen, S. K., Boschung,
J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University
Press, Cambridge, United Kingdom and New York, NY, USA, 2013. a, b, c, d, e, f, g
Nam, C., Bony, S., Dufresne, J. L., and Chepfer, H.: The “too few, too
bright”
tropical low-cloud problem in CMIP5 models, Geophys. Res. Lett., 39,
L21801, https://doi.org/10.1029/2012GL053421, 2012. a
Neubauer, D., Lohmann, U., Hoose, C., and Frontoso, M. G.: Impact of the
representation of marine stratocumulus clouds on the anthropogenic aerosol
effect, Atmos. Chem. Phys., 14, 11997–12022,
https://doi.org/10.5194/acp-14-11997-2014, 2014. a
Oakley, J. E. and O'Hagan, A.: Probabilistic sensitivity analysis of complex
models: a Bayesian approach, JRSSB, 66, 751–769, 2004. a
Pan, X., Chin, M., Gautam, R., Bian, H., Kim, D., Colarco, P. R., Diehl, T.
L., Takemura, T., Pozzoli, L., Tsigaridis, K., Bauer, S., and Bellouin, N.: A
multi-model evaluation of aerosols over South Asia: common problems and
possible causes, Atmos. Chem. Phys., 15, 5903–5928,
https://doi.org/10.5194/acp-15-5903-2015, 2015. a
Pennell, C. and Reichler, T.: On the effective number of climate models, J.
Climate, 24, 2358–2367, 2010. a
Petters, M. D. and Kreidenweis, S. M.: A single parameter representation of
hygroscopic growth and cloud condensation nucleus activity, Atmos. Chem.
Phys., 7, 1961–1971, https://doi.org/10.5194/acp-7-1961-2007, 2007. a, b
Pianosi, F., Beven, K., Freer, J., Hall, J. W., Rougier, J., Stephenson, D. B.,
and Wagener, T.: Sensitivity analysis of environmental models: A systematic
review of practical workflow, Environ. Model. Softw., 79, 214–232,
https://doi.org/10.1016/j.envsoft.2016.02.008, 2016. a
Pringle, K. J., Carslaw, K. S., Fan, T., Mann, G. W., Hill, A., Stier, P.,
Zhang, K., and Tost, H.: A multi-model assessment of the impact of sea spray
geoengineering on cloud droplet number, Atmos. Chem. Phys., 12, 11647–11663,
https://doi.org/10.5194/acp-12-11647-2012, 2012. a
Qian, Y., Yan, H., Zhangshuan, H., Gardar, J., Klein, S., Lucas, D., Neale, R.,
Rasch, P., Swiller, L., Tannahill, J., Wang, H., Wang, M., and Zhao, C.:
Parametric sensitivity analysis of precipitation at global and local scales
in the Comunity Atmosphere Model CAM5, J. Adv. Model. Earth Sy., 7, 382–411, https://doi.org/10.1002/2014MS000354, 2015. a
Räisänen, P., Barker, H. W., Khairoutdinov, M. F., Li, J., and Randall,
D. A.: Stochastic generation of subgrid-scale cloudy columns for large-scale
models, Q. J. Roy. Meteor. Soc., 130, 2047–2067,
https://doi.org/10.1256/qj.03.99, 2004. a
Randles, C. A., Kinne, S., Myhre, G., Schulz, M., Stier, P., Fischer, J.,
Doppler, L., Highwood, E., Ryder, C., Harris, B., Huttunen, J., Ma, Y.,
Pinker, R. T., Mayer, B., Neubauer, D., Hitzenberger, R., Oreopoulos, L.,
Lee, D., Pitari, G., Di Genova, G., Quaas, J., Rose, F. G., Kato, S.,
Rumbold, S. T., Vardavas, I., Hatzianastassiou, N., Matsoukas, C., Yu, H.,
Zhang, F., Zhang, H., and Lu, P.: Intercomparison of shortwave radiative
transfer schemes in global aerosol modeling: results from the AeroCom
Radiative Transfer Experiment, Atmos. Chem. Phys., 13, 2347–2379,
https://doi.org/10.5194/acp-13-2347-2013, 2013. a, b
Reddington, C. L., Carslaw, K. S., Spracklen, D. V., Frontoso, M. G.,
Collins, L., Merikanto, J., Minikin, A., Hamburger, T., Coe, H., Kulmala, M.,
Aalto, P., Flentje, H., Plass-Dülmer, C., Birmili, W., Wiedensohler, A.,
Wehner, B., Tuch, T., Sonntag, A., O'Dowd, C. D., Jennings, S. G., Dupuy, R.,
Baltensperger, U., Weingartner, E., Hansson, H.-C., Tunved, P., Laj, P.,
Sellegri, K., Boulon, J., Putaud, J.-P., Gruening, C., Swietlicki, E.,
Roldin, P., Henzing, J. S., Moerman, M., Mihalopoulos, N., Kouvarakis, G.,
Ždímal, V., Zíková, N., Marinoni, A., Bonasoni, P., and
Duchi, R.: Primary versus secondary contributions to particle number
concentrations in the European boundary layer, Atmos. Chem. Phys., 11,
12007–12036, https://doi.org/10.5194/acp-11-12007-2011, 2011. a
Reddington, C. L., Carslaw, K. S., Stier, P., Schutgens, N., Coe, H., Liu, D.,
Allan, J., Browse, J., Pringle, K., Lee, L., Yoshioka, M., Johnson, J.,
Regayre, L., Spracklen, D., Mann, G., Clarke, A., Hermann, M., Henning, S.,
Wex, H., Kristensen, T., Leaitch, W., Poeschl, U., Rose, D., Andreae, M.,
Schmale, J., Kondo, Y., Oshima, N., Schwarz, J., Nenes, A., Andreson, B.,
Roberts, G., Snider, J., Leck, C., Quinn, P., Chi, X., Ding, A., Jimenez, J.,
and Zhang, Q.: The Global Aerosol Synthesis and Science Project
(GASSP), B. Am. Meteorol. Soc., 8, 1857–1877, https://doi.org/10.1175/BAMS-D-15-00317.1, 2017. a, b
Regayre, L. A., Pringle, K. J., Booth, B. B. B., Lee, L. A., Mann, G. W.,
Browse, J., Woodhouse, M. T., Rap, A., Reddington, C. L. S., and Carslaw,
K. S.: Uncertainty in the magnitude of aerosol-cloud radiative forcing over
recent decades, Geophys. Res. Lett., 41, 9040–9049,
https://doi.org/10.1002/2014GL062029, 2014. a, b, c, d, e, f, g
Regayre, L. A., Pringle, K. J., Lee, L. A., Booth, B. B. B., Rap, A., Browse,
J., Mann, G. W., Woodhouse, M. T., Reddington, C. L. S., and Carslaw, K. S.:
The climatic importance of uncertainties in regional aerosol-cloud radiative
forcings over recent decades, J. Climate., 28, 6589–6607,
https://doi.org/10.1175/JCLI-D-15-0127.1, 2015. a, b, c, d, e, f, g, h, i, j
Reutter, P., Su, H., Trentmann, J., Simmel, M., Rose, D., Gunthe, S. S.,
Wernli, H., Andreae, M. O., and Pöschl, U.: Aerosol- and updraft-limited
regimes of cloud droplet formation: influence of particle number, size and
hygroscopicity on the activation of cloud condensation nuclei (CCN), Atmos.
Chem. Phys., 9, 7067–7080, https://doi.org/10.5194/acp-9-7067-2009, 2009. a
Rodrigues, L. F. S., Vernon, I., and Bower, R.: Constraints on galaxy formation
models from the galaxy stellar mass function and its evolution, Mon. Not.
R. Astron. Soc., 466, 2418–2435, https://doi.org/10.1093/mnras/stw3269, 2017. a
Rougier, J.: Ensemble averaging and mean squared error, J. Climate, 29,
8865–8870, https://doi.org/10.1175/JCLI-D-16-0012.1, 2016. a
Saltelli, A., Tarantola, S., and Chan, K. P. S.: A quantitative
model-independent method for global sensitivity analysis of model output,
Technometrics, 41, 39–56, https://doi.org/10.2307/1270993, 1999. a, b
Saltelli, A., Chan, K., and Scott, E. M.: Sensitivity Analysis, Wiley,
Oxford, UK, 2000. a
Samset, B. H., Myhre, G., Herber, A., Kondo, Y., Li, S.-M., Moteki, N.,
Koike, M., Oshima, N., Schwarz, J. P., Balkanski, Y., Bauer, S. E., Bellouin,
N., Berntsen, T. K., Bian, H., Chin, M., Diehl, T., Easter, R. C., Ghan, S.
J., Iversen, T., Kirkevåg, A., Lamarque, J.-F., Lin, G., Liu, X., Penner,
J. E., Schulz, M., Seland, Ø., Skeie, R. B., Stier, P., Takemura, T.,
Tsigaridis, K., and Zhang, K.: Modelled black carbon radiative forcing and
atmospheric lifetime in AeroCom Phase II constrained by aircraft
observations, Atmos. Chem. Phys., 14, 12465–12477,
https://doi.org/10.5194/acp-14-12465-2014, 2014. a
Sanderson, B. M.: A multimodel study of parametric uncertainty in predictions
of climate response to rising greenhouse gas concentrations., J. Climate.,
24, 1362–1377, https://doi.org/10.1175/2010JCLI3498.1, 2010. a
Schmidt, A., Ostro, B., Carslaw, K. S., Wilson, M., Thordarson, T., Mann,
G. W., and Simmons, A. J.: Excess mortality in Europe following a future
Laki-style Icelandic eruption, Proc. Natl. Acad. Sci. USA, 108,
15710–15715, 2011. a
Schulz, M., Textor, C., Kinne, S., Balkanski, Y., Bauer, S., Berntsen, T.,
Berglen, T., Boucher, O., Dentener, F., Guibert, S., Isaksen, I. S. A.,
Iversen, T., Koch, D., Kirkevåg, A., Liu, X., Montanaro, V., Myhre, G.,
Penner, J. E., Pitari, G., Reddy, S., Seland, Ø., Stier, P., and Takemura,
T.: Radiative forcing by aerosols as derived from the AeroCom present-day and
pre-industrial simulations, Atmos. Chem. Phys., 6, 5225–5246,
https://doi.org/10.5194/acp-6-5225-2006, 2006. a
Schutgens, N., Tsyro, S., Gryspeerdt, E., Goto, D., Weigum, N., Schulz, M.,
and Stier, P.: On the spatio-temporal representativeness of observations,
Atmos. Chem. Phys., 17, 9761–9780, https://doi.org/10.5194/acp-17-9761-2017,
2017. a
Seinfeld, J. H., Bretherton, C., Carslaw, K. S., Coe, H., DeMott, P. J.,
Dunlea, E. J., Feingold, G., Ghan, S., Guenther, A. B., Kahn, R., Kraucunas,
I., Kreidenweis, S. M., Molina, M. J., Nenes, A., Penner, J. E., Prather,
K. A., Ramanathan, V., Ramaswamy, V., Rasch, P. J., Ravishankara, A. R.,
Rosenfeld, D., Stephens, G., and Wood, R.: Improving our fundamental
understanding of the role of aerosol-cloud interactions in the climate
system, Proc. Natl. Acad. Sci. USA, 113, 5781–5790,
https://doi.org/10.1073/pnas.1514043113, 2016. a, b
Sexton, D. M. H., Karmalkar, A., Murphy, J., and Booth, B. B. B.: The
elicitation of distributions of parameters in HadGEM3 versions GA4 and
GA7 for use in perturbed parameter ensembles, Hadley Centre technical
note 101, Met Office, UK, 2018. a
Shindell, D. T., Lamarque, J.-F., Schulz, M., Flanner, M., Jiao, C., Chin,
M., Young, P. J., Lee, Y. H., Rotstayn, L., Mahowald, N., Milly, G.,
Faluvegi, G., Balkanski, Y., Collins, W. J., Conley, A. J., Dalsoren, S.,
Easter, R., Ghan, S., Horowitz, L., Liu, X., Myhre, G., Nagashima, T., Naik,
V., Rumbold, S. T., Skeie, R., Sudo, K., Szopa, S., Takemura, T.,
Voulgarakis, A., Yoon, J.-H., and Lo, F.: Radiative forcing in the ACCMIP
historical and future climate simulations, Atmos. Chem. Phys., 13,
2939–2974, https://doi.org/10.5194/acp-13-2939-2013, 2013. a, b, c, d, e
Shiogama, H., Watanabe, M., Yoshimori, M., Yokohata, T., Ogura, T., Annan,
J. D., Hargreaves, J. C., Abe, M., Kamae, Y., O'ishi, R., Nobui, R., Emori,
S., Nozawa, T., Abe-Ouchi, A., and Kimoto, M.: Perturbed physics ensemble
using the MIROC5 coupled atmosphere-ocean GCM without flux corrections:
experimental design and results, Clim. Dynam., 39, 3041–3056,
https://doi.org/10.1007/s00382-012-1441-x, 2012. a, b
Shrivastava, M., Zhao, C., Easter, R. C., Qian, Y., Zelenyuk, A., Fast, J. D.,
Liu, Y., Zhang, Q., and Guenther, A.: Sensitivity analysis of simulated SOA
loadings using a variance-based statistical approach, J. Adv. Model. Earth Sy., 8, 499–519, https://doi.org/10.1002/2015MS000554, 2016. a
Smith, S. J., van Aardenne, J., Klimont, Z., Andres, R. J., Volke, A., and
Delgado Arias, S.: Anthropogenic sulfur dioxide emissions: 1850–2005, Atmos.
Chem. Phys., 11, 1101-1116, https://doi.org/10.5194/acp-11-1101-2011, 2011. a
Snedecor, G. W. and Cochran, W. G.: Statistical methods, Iowa State
University Press, 8th edn., Ames, Iowa, 1989. a
Spracklen, D. V., Pringle, K. J., Carslaw, K. S., Chipperfield, M. P., and
Mann, G. W.: A global off-line model of size-resolved aerosol microphysics:
I. Model development and prediction of aerosol properties, Atmos. Chem.
Phys., 5, 2227–2252, https://doi.org/10.5194/acp-5-2227-2005, 2005. a
Spracklen, D. V., Carslaw, K. S., Merikanto, J., Mann, G. W., Reddington, C.
L., Pickering, S., Ogren, J. A., Andrews, E., Baltensperger, U., Weingartner,
E., Boy, M., Kulmala, M., Laakso, L., Lihavainen, H., Kivekäs, N.,
Komppula, M., Mihalopoulos, N., Kouvarakis, G., Jennings, S. G., O'Dowd, C.,
Birmili, W., Wiedensohler, A., Weller, R., Gras, J., Laj, P., Sellegri, K.,
Bonn, B., Krejci, R., Laaksonen, A., Hamed, A., Minikin, A., Harrison, R. M.,
Talbot, R., and Sun, J.: Explaining global surface aerosol number
concentrations in terms of primary emissions and particle formation, Atmos.
Chem. Phys., 10, 4775–4793, https://doi.org/10.5194/acp-10-4775-2010, 2010. a
Spracklen, D. V., Carslaw, K. S., Pöschl, U., Rap, A., and Forster, P.
M.: Global cloud condensation nuclei influenced by carbonaceous combustion
aerosol, Atmos. Chem. Phys., 11, 9067–9087,
https://doi.org/10.5194/acp-11-9067-2011, 2011a. a
Spracklen, D. V., Jimenez, J. L., Carslaw, K. S., Worsnop, D. R., Evans, M.
J., Mann, G. W., Zhang, Q., Canagaratna, M. R., Allan, J., Coe, H.,
McFiggans, G., Rap, A., and Forster, P.: Aerosol mass spectrometer constraint
on the global secondary organic aerosol budget, Atmos. Chem. Phys., 11,
12109-12136, https://doi.org/10.5194/acp-11-12109-2011, 2011b. a
Stevens, B.: Rethinking the Lower Bound on Aerosol Radiative Forcing, J.
Climate, 28, 4794–4819, https://doi.org/10.1175/JCLI-D-14-00656.1, 2015. a
Stevens, B. and Feingold, G.: Untangling aerosol effects on clouds and
precipitation in a buffered system, Nature, 461, 607–613, 2009. a
Stier, P., Schutgens, N. A. J., Bellouin, N., Bian, H., Boucher, O., Chin,
M., Ghan, S., Huneeus, N., Kinne, S., Lin, G., Ma, X., Myhre, G., Penner, J.
E., Randles, C. A., Samset, B., Schulz, M., Takemura, T., Yu, F., Yu, H., and
Zhou, C.: Host model uncertainties in aerosol radiative forcing estimates:
results from the AeroCom Prescribed intercomparison study, Atmos. Chem.
Phys., 13, 3245–3270, https://doi.org/10.5194/acp-13-3245-2013, 2013. a, b
Storelvmo, T., Lohmann, U., and Bennartz, R.: What governs the spread in
shortwave forcings in the transient IPCC AR4 models?, Geophys. Res. Lett., 36, L01806, https://doi.org/10.1029/2008GL036069,
2009. a
Sullivan, S. C., Lee, D., Oreopoulos, L., and Nenes, A.: Role of updraft
velocity in temporal variability of global cloud hydrometeor number, Proc. Natl. Acad. Sci. USA, 113, 5791–5796, https://doi.org/10.1073/pnas.1514039113,
2016. a
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An Overview of CMIP5 and
the Experiment Design, B. Am. Meteorol. Soc., 93, 485–498,
https://doi.org/10.1175/BAMS-D-11-00094.1, 2012. a, b
Telford, P. J., Braesicke, P., Morgenstern, O., and Pyle, J. A.: Technical
Note: Description and assessment of a nudged version of the new dynamics
Unified Model, Atmos. Chem. Phys., 8, 1701–1712,
https://doi.org/10.5194/acp-8-1701-2008, 2008. a
Tett, S. F. B., Rowlands, D. J., Mineter, M. J., and Cartis, C.: Can
Top-Of-Atmosphere Radiation Measurements Constrain Climate Predictions? Part
II: Climate Sensitivity, J. Climate, 26, 9367–9383,
https://doi.org/10.1175/JCLI-D-12-00596.1, 2013. a, b, c
Textor, C., Schulz, M., Guibert, S., Kinne, S., Balkanski, Y., Bauer, S.,
Berntsen, T., Berglen, T., Boucher, O., Chin, M., Dentener, F., Diehl, T.,
Easter, R., Feichter, H., Fillmore, D., Ghan, S., Ginoux, P., Gong, S.,
Grini, A., Hendricks, J., Horowitz, L., Huang, P., Isaksen, I., Iversen, I.,
Kloster, S., Koch, D., Kirkevåg, A., Kristjansson, J. E., Krol, M.,
Lauer, A., Lamarque, J. F., Liu, X., Montanaro, V., Myhre, G., Penner, J.,
Pitari, G., Reddy, S., Seland, Ø., Stier, P., Takemura, T., and Tie, X.:
Analysis and quantification of the diversities of aerosol life cycles within
AeroCom, Atmos. Chem. Phys., 6, 1777–1813,
https://doi.org/10.5194/acp-6-1777-2006, 2006. a
Textor, C., Schulz, M., Guibert, S., Kinne, S., Balkanski, Y., Bauer, S.,
Berntsen, T., Berglen, T., Boucher, O., Chin, M., Dentener, F., Diehl, T.,
Feichter, J., Fillmore, D., Ginoux, P., Gong, S., Grini, A., Hendricks, J.,
Horowitz, L., Huang, P., Isaksen, I. S. A., Iversen, T., Kloster, S., Koch,
D., Kirkevåg, A., Kristjansson, J. E., Krol, M., Lauer, A., Lamarque, J.
F., Liu, X., Montanaro, V., Myhre, G., Penner, J. E., Pitari, G., Reddy, M.
S., Seland, Ø., Stier, P., Takemura, T., and Tie, X.: The effect of
harmonized emissions on aerosol properties in global models – an AeroCom
experiment, Atmos. Chem. Phys., 7, 4489–4501,
https://doi.org/10.5194/acp-7-4489-2007, 2007. a
Toll, V., Christensen, M., Gassó, S., and Bellouin, N.: Volcano and ship
tracks indicate excessive aerosol-induced cloud water increases in a climate
model, Geophys. Res. Lett., 44, 12492–12500,
https://doi.org/10.1002/2017GL075280, 2017. a, b, c, d
Tost, H., Lawrence, M. G., Brühl, C., Jöckel, P., The GABRIEL Team,
and The SCOUT-O3-DARWIN/ACTIVE Team: Uncertainties in atmospheric chemistry
modelling due to convection parameterisations and subsequent scavenging,
Atmos. Chem. Phys., 10, 1931–1951, https://doi.org/10.5194/acp-10-1931-2010,
2010. a
Tsigaridis, K., Daskalakis, N., Kanakidou, M., Adams, P. J., Artaxo, P.,
Bahadur, R., Balkanski, Y., Bauer, S. E., Bellouin, N., Benedetti, A.,
Bergman, T., Berntsen, T. K., Beukes, J. P., Bian, H., Carslaw, K. S., Chin,
M., Curci, G., Diehl, T., Easter, R. C., Ghan, S. J., Gong, S. L., Hodzic,
A., Hoyle, C. R., Iversen, T., Jathar, S., Jimenez, J. L., Kaiser, J. W.,
Kirkevåg, A., Koch, D., Kokkola, H., Lee, Y. H., Lin, G., Liu, X., Luo,
G., Ma, X., Mann, G. W., Mihalopoulos, N., Morcrette, J.-J., Müller,
J.-F., Myhre, G., Myriokefalitakis, S., Ng, N. L., O'Donnell, D., Penner, J.
E., Pozzoli, L., Pringle, K. J., Russell, L. M., Schulz, M., Sciare, J.,
Seland, Ø., Shindell, D. T., Sillman, S., Skeie, R. B., Spracklen, D.,
Stavrakou, T., Steenrod, S. D., Takemura, T., Tiitta, P., Tilmes, S., Tost,
H., van Noije, T., van Zyl, P. G., von Salzen, K., Yu, F., Wang, Z., Wang,
Z., Zaveri, R. A., Zhang, H., Zhang, K., Zhang, Q., and Zhang, X.: The
AeroCom evaluation and intercomparison of organic aerosol in global models,
Atmos. Chem. Phys., 14, 10845–10895,
https://doi.org/10.5194/acp-14-10845-2014, 2014. a
van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Mu, M.,
Kasibhatla, P. S., Morton, D. C., DeFries, R. S., Jin, Y., and van Leeuwen,
T. T.: Global fire emissions and the contribution of deforestation, savanna,
forest, agricultural, and peat fires (1997–2009), Atmos. Chem. Phys., 10,
11707-11735, https://doi.org/10.5194/acp-10-11707-2010, 2010. a
Vehkamäki, H., Kulmala, M., Napari, I., Lehtinen, K. E. J., Timmreck, C.,
Noppel, M., and Laaksonen, A.: An improved parameterization for sulfuric
acid-water nucleation rates for tropospheric and stratospheric conditions,
J. Geophys. Res., 107, D22, https://doi.org/10.1029/2002JD002184, 2002. a
Vergara-Temprado, J., Murray, B. J., Wilson, T. W., O'Sullivan, D., Browse,
J., Pringle, K. J., Ardon-Dryer, K., Bertram, A. K., Burrows, S. M.,
Ceburnis, D., DeMott, P. J., Mason, R. H., O'Dowd, C. D., Rinaldi, M., and
Carslaw, K. S.: Contribution of feldspar and marine organic aerosols to
global ice nucleating particle concentrations, Atmos. Chem. Phys., 17,
3637–3658, https://doi.org/10.5194/acp-17-3637-2017, 2017.
a
Villarini, G. and Vecchi, G. A.: Projected increases in North Atlantic
tropical cyclone intensity from CMIP5 models, J. Climate, 26, 3231–3240,
https://doi.org/10.1175/JCLI-D-12-00441.1, 2013. a, b
Welch, B. L.: The generalization of “Student's” problem when several
different population variances are involved, Biometrika, 34, 28–35,
https://doi.org/10.1093/biomet/34.1-2.28, 1947. a
West, R. E. L., Stier, P., Jones, A., Johnson, C. E., Mann, G. W., Bellouin,
N., Partridge, D. G., and Kipling, Z.: The importance of vertical velocity
variability for estimates of the indirect aerosol effects, Atmos. Chem.
Phys., 14, 6369–6393, https://doi.org/10.5194/acp-14-6369-2014, 2014. a
Wilcox, L. J., Highwood, E. J., Booth, B. B. B., and Carslaw, K. S.:
Quantifying sources of inter-model diversity in the cloud albedo effect,
Geophys. Res. Lett., 42, 1568–1575, https://doi.org/10.1002/2015GL063301, 2015. a, b
Williamson, D., Goldstein, M., Allison, L., Blaker, A., Challenor, P., Jackson,
L., and Yamazaki, K.: History matching for exploring and reducing climate
model parameter space using observations and a large perturbed physics
ensemble, Clim. Dynam., 41, 1703–1729, https://doi.org/10.1007/s00382-013-1896-4,
2013. a
Yoshioka, M., Regayre, L. A., Pringle, K. J., Johnson, J. S., Mann, G. W.,
Partridge, D., Stier, P., Kipling, Z., Bellouin, N., Sexton, D. M. H.,
Lister, G. M. S., Browse, J., Booth, B. B. B., Johnson, C. E., Johnson, B.,
Mollard, J. D. P., and Carslaw, K. S.: Ensembles of global climate model
variants for the quantification and constraint of uncertainty in aerosols and
their radiative forcing, J. Adv. Model. Earth Sy., in prep., 2018. a, b, c, d, e
Zhang, S., Wang, M., Ghan, S. J., Ding, A., Wang, H., Zhang, K., Neubauer,
D., Lohmann, U., Ferrachat, S., Takeamura, T., Gettelman, A., Morrison, H.,
Lee, Y., Shindell, D. T., Partridge, D. G., Stier, P., Kipling, Z., and Fu,
C.: On the characteristics of aerosol indirect effect based on dynamic
regimes in global climate models, Atmos. Chem. Phys., 16, 2765–2783,
https://doi.org/10.5194/acp-16-2765-2016, 2016. a
Zhao, C., Liu, X., Qian, Y., Yoon, J., Hou, Z., Lin, G., McFarlane, S., Wang,
H., Yang, B., Ma, P.-L., Yan, H., and Bao, J.: A sensitivity study of
radiative fluxes at the top of atmosphere to cloud-microphysics and aerosol
parameters in the community atmosphere model CAM5, Atmos. Chem. Phys., 13,
10969–10987, https://doi.org/10.5194/acp-13-10969-2013, 2013. a
Short summary
We sample uncertainty in one climate model by perturbing aerosol and physical atmosphere parameters. Our uncertainty is comparable to multi-model studies. Atmospheric parameters cause most of the top-of-atmosphere flux uncertainty; uncertainty in aerosol forcing is mostly caused by aerosols: both are important. The strongest aerosol forcings are inconsistent with top-of-atmosphere flux observations. Better constraint requires observations that share causes of uncertainty with aerosol forcing.
We sample uncertainty in one climate model by perturbing aerosol and physical atmosphere...
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