Articles | Volume 18, issue 17
https://doi.org/10.5194/acp-18-13031-2018
© 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-18-13031-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Sep 2018
Research article |
| 11 Sep 2018
| 11 Sep 2018
The importance of comprehensive parameter sampling and multiple observations for robust constraint of aerosol radiative forcing
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, LS2 9JT, UK
Leighton A. Regayre
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
Lindsay A. Lee
Institute for Climate and Atmospheric Science, School of Earth and
Environment, University of Leeds, Leeds, LS2 9JT, UK
David M. H. Sexton
Met Office Hadley Centre, Fitzroy Road, Exeter, EX1 3PB, UK
John W. Rostron
Met Office Hadley Centre, Fitzroy Road, Exeter, EX1 3PB, UK
Ben B. B. Booth
Met Office Hadley Centre, Fitzroy Road, Exeter, EX1 3PB, 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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Tiny particles called aerosols affect how much sunlight the Earth reflects back into space – one of the biggest climate uncertainties. We use a large set of climate model simulations and find that uncertainty drops in some regions, but persists in other areas, after comparing models to observations. By identifying the specific processes that cause the remaining uncertainty, we guide future efforts to reduce the aerosol forcing uncertainty so we can make more reliable climate predictions.
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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.
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Colin G. Jones, Fanny Adloff, Ben B. B. Booth, Peter M. Cox, Veronika Eyring, Pierre Friedlingstein, Katja Frieler, Helene T. Hewitt, Hazel A. Jeffery, Sylvie Joussaume, Torben Koenigk, Bryan N. Lawrence, Eleanor O'Rourke, Malcolm J. Roberts, Benjamin M. Sanderson, Roland Séférian, Samuel Somot, Pier Luigi Vidale, Detlef van Vuuren, Mario Acosta, Mats Bentsen, Raffaele Bernardello, Richard Betts, Ed Blockley, Julien Boé, Tom Bracegirdle, Pascale Braconnot, Victor Brovkin, Carlo Buontempo, Francisco Doblas-Reyes, Markus Donat, Italo Epicoco, Pete Falloon, Sandro Fiore, Thomas Frölicher, Neven S. Fučkar, Matthew J. Gidden, Helge F. Goessling, Rune Grand Graversen, Silvio Gualdi, José M. Gutiérrez, Tatiana Ilyina, Daniela Jacob, Chris D. Jones, Martin Juckes, Elizabeth Kendon, Erik Kjellström, Reto Knutti, Jason Lowe, Matthew Mizielinski, Paola Nassisi, Michael Obersteiner, Pierre Regnier, Romain Roehrig, David Salas y Mélia, Carl-Friedrich Schleussner, Michael Schulz, Enrico Scoccimarro, Laurent Terray, Hannes Thiemann, Richard A. Wood, Shuting Yang, and Sönke Zaehle
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Xinyue Shao, Minghuai Wang, Xinyi Dong, Yaman Liu, Wenxiang Shen, Stephen R. Arnold, Leighton A. Regayre, Meinrat O. Andreae, Mira L. Pöhlker, Duseong S. Jo, Man Yue, and Ken S. Carslaw
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Jonathan Tinker, Matthew D. Palmer, Benjamin J. Harrison, Enda O'Dea, David M. H. Sexton, Kuniko Yamazaki, and John W. Rostron
Ocean Sci., 20, 835–885, https://doi.org/10.5194/os-20-835-2024, https://doi.org/10.5194/os-20-835-2024, 2024
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Rolf Müller, Ulrich Pöschl, Thomas Koop, Thomas Peter, and Ken Carslaw
Atmos. Chem. Phys., 23, 15445–15453, https://doi.org/10.5194/acp-23-15445-2023, https://doi.org/10.5194/acp-23-15445-2023, 2023
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Hamza Ahsan, Hailong Wang, Jingbo Wu, Mingxuan Wu, Steven J. Smith, Susanne Bauer, Harrison Suchyta, Dirk Olivié, Gunnar Myhre, Hitoshi Matsui, Huisheng Bian, Jean-François Lamarque, Ken Carslaw, Larry Horowitz, Leighton Regayre, Mian Chin, Michael Schulz, Ragnhild Bieltvedt Skeie, Toshihiko Takemura, and Vaishali Naik
Atmos. Chem. Phys., 23, 14779–14799, https://doi.org/10.5194/acp-23-14779-2023, https://doi.org/10.5194/acp-23-14779-2023, 2023
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We examine the impact of the assumed effective height of SO2 injection, SO2 and BC emission seasonality, and the assumed fraction of SO2 emissions injected as SO4 on climate and chemistry model results. We find that the SO2 injection height has a large impact on surface SO2 concentrations and, in some models, radiative flux. These assumptions are a
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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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Nina Raoult, Tim Jupp, Ben Booth, and Peter Cox
Earth Syst. Dynam., 14, 723–731, https://doi.org/10.5194/esd-14-723-2023, https://doi.org/10.5194/esd-14-723-2023, 2023
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Climate models are used to predict the impact of climate change. However, poorly constrained parameters used in the physics of the models mean that we simulate a large spread of possible future outcomes. We can use real-world observations to reduce the uncertainty of parameter values, but we do not have observations to reduce the spread of possible future outcomes directly. We present a method for translating the reduction in parameter uncertainty into a reduction in possible model projections.
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.
Ernesto Reyes-Villegas, Douglas Lowe, Jill S. Johnson, Kenneth S. Carslaw, Eoghan Darbyshire, Michael Flynn, James D. Allan, Hugh Coe, Ying Chen, Oliver Wild, Scott Archer-Nicholls, Alex Archibald, Siddhartha Singh, Manish Shrivastava, Rahul A. Zaveri, Vikas Singh, Gufran Beig, Ranjeet Sokhi, and Gordon McFiggans
Atmos. Chem. Phys., 23, 5763–5782, https://doi.org/10.5194/acp-23-5763-2023, https://doi.org/10.5194/acp-23-5763-2023, 2023
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Organic aerosols (OAs), their sources and their processes remain poorly understood. The volatility basis set (VBS) approach, implemented in air quality models such as WRF-Chem, can be a useful tool to describe primary OA (POA) production and aging. However, the main disadvantage is its complexity. We used a Gaussian process simulator to reproduce model results and to estimate the sources of model uncertainty. We do this by comparing the outputs with OA observations made at Delhi, India, in 2018.
Tamzin E. Palmer, Carol F. McSweeney, Ben B. B. Booth, Matthew D. K. Priestley, Paolo Davini, Lukas Brunner, Leonard Borchert, and Matthew B. Menary
Earth Syst. Dynam., 14, 457–483, https://doi.org/10.5194/esd-14-457-2023, https://doi.org/10.5194/esd-14-457-2023, 2023
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We carry out an assessment of an ensemble of general climate models (CMIP6) based on the ability of the models to represent the key physical processes that are important for representing European climate. Filtering the models with the assessment leads to more models with less global warming being removed, and this shifts the lower part of the projected temperature range towards greater warming. This is in contrast to the affect of weighting the ensemble using global temperature trends.
Xuemei Wang, Hamish Gordon, Daniel P. Grosvenor, Meinrat O. Andreae, and Ken S. Carslaw
Atmos. Chem. Phys., 23, 4431–4461, https://doi.org/10.5194/acp-23-4431-2023, https://doi.org/10.5194/acp-23-4431-2023, 2023
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New particle formation in the upper troposphere is important for the global boundary layer aerosol population, and they can be transported downward in Amazonia. We use a global and a regional model to quantify the number of aerosols that are formed at high altitude and transported downward in a 1000 km region. We find that the majority of the aerosols are from outside the region. This suggests that the 1000 km region is unlikely to be a
closed loopfor aerosol formation, transport and growth.
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.
Leighton A. Regayre, Lucia Deaconu, Daniel P. Grosvenor, David Sexton, Christopher C. Symonds, Tom Langton, Duncan Watson-Paris, Jane P. Mulcahy, Kirsty J. Pringle, Mark Richardson, Jill S. Johnson, John Rostron, Hamish Gordon, Grenville Lister, Philip Stier, and Ken S. Carslaw
EGUsphere, https://doi.org/10.5194/egusphere-2022-1330, https://doi.org/10.5194/egusphere-2022-1330, 2022
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We show that potential structural deficiencies in a climate model can be exposed by comprehensively exploring its parametric uncertainty, and that these deficiencies limit how much the model uncertainty can be reduced through observational constraint. Combined consideration of parametric and structural uncertainties provides a future pathway towards building models that have greater physical realism and lower uncertainty.
Ville Leinonen, Harri Kokkola, Taina Yli-Juuti, Tero Mielonen, Thomas Kühn, Tuomo Nieminen, Simo Heikkinen, Tuuli Miinalainen, Tommi Bergman, Ken Carslaw, Stefano Decesari, Markus Fiebig, Tareq Hussein, Niku Kivekäs, Radovan Krejci, Markku Kulmala, Ari Leskinen, Andreas Massling, Nikos Mihalopoulos, Jane P. Mulcahy, Steffen M. Noe, Twan van Noije, Fiona M. O'Connor, Colin O'Dowd, Dirk Olivie, Jakob B. Pernov, Tuukka Petäjä, Øyvind Seland, Michael Schulz, Catherine E. Scott, Henrik Skov, Erik Swietlicki, Thomas Tuch, Alfred Wiedensohler, Annele Virtanen, and Santtu Mikkonen
Atmos. Chem. Phys., 22, 12873–12905, https://doi.org/10.5194/acp-22-12873-2022, https://doi.org/10.5194/acp-22-12873-2022, 2022
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We provide the first extensive comparison of detailed aerosol size distribution trends between in situ observations from Europe and five different earth system models. We investigated aerosol modes (nucleation, Aitken, and accumulation) separately and were able to show the differences between measured and modeled trends and especially their seasonal patterns. The differences in model results are likely due to complex effects of several processes instead of certain specific model features.
Amy H. Peace, Ben B. B. Booth, Leighton A. Regayre, Ken S. Carslaw, David M. H. Sexton, Céline J. W. Bonfils, and John W. Rostron
Earth Syst. Dynam., 13, 1215–1232, https://doi.org/10.5194/esd-13-1215-2022, https://doi.org/10.5194/esd-13-1215-2022, 2022
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Anthropogenic aerosol emissions have been linked to driving climate responses such as shifts in the location of tropical rainfall. However, the interaction of aerosols with climate remains one of the most uncertain aspects of climate modelling and limits our ability to predict future climate change. We use an ensemble of climate model simulations to investigate what impact the large uncertainty in how aerosols interact with climate has on predicting future tropical rainfall shifts.
Alexander D. Harrison, Daniel O'Sullivan, Michael P. Adams, Grace C. E. Porter, Edmund Blades, Cherise Brathwaite, Rebecca Chewitt-Lucas, Cassandra Gaston, Rachel Hawker, Ovid O. Krüger, Leslie Neve, Mira L. Pöhlker, Christopher Pöhlker, Ulrich Pöschl, Alberto Sanchez-Marroquin, Andrea Sealy, Peter Sealy, Mark D. Tarn, Shanice Whitehall, James B. McQuaid, Kenneth S. Carslaw, Joseph M. Prospero, and Benjamin J. Murray
Atmos. Chem. Phys., 22, 9663–9680, https://doi.org/10.5194/acp-22-9663-2022, https://doi.org/10.5194/acp-22-9663-2022, 2022
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The formation of ice in clouds fundamentally alters cloud properties; hence it is important we understand the special aerosol particles that can nucleate ice when immersed in supercooled cloud droplets. In this paper we show that African desert dust that has travelled across the Atlantic to the Caribbean nucleates ice much less well than we might have expected.
Shipra Jain, Ruth M. Doherty, David Sexton, Steven Turnock, Chaofan Li, Zixuan Jia, Zongbo Shi, and Lin Pei
Atmos. Chem. Phys., 22, 7443–7460, https://doi.org/10.5194/acp-22-7443-2022, https://doi.org/10.5194/acp-22-7443-2022, 2022
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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.
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.
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.
Cited articles
Allen, R. J., Norris, J. R., and Wild, M.: Evaluation of multidecadal
variability in CMIP5 surface solar radiation and inferred underestimation of
aerosol direct effects over Europe, China, Japan, and India, J. Geophys.
Res.-Atmos., 118, 6311–6336, https://doi.org/10.1002/jgrd.50426, 2013.
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.
Andres, R. J. and Kasgnoc, A. D.: A time-averaged inventory of subaerial
volcanic sulfur emissions, J. Geophys. Res.-Atmos., 103, 25251–25261,
https://doi.org/10.1029/98JD02091, 1998.
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. R. Stat. Soc. C-Appl., 66, 717–740,
https://doi.org/10.1111/rssc.12198, 2017.
Ban-weiss, G. A., Jin, L., Bauer, S. E., Bennartz, R., Liu, X., Zhang, K.,
Ming, Y., Guo, H., and Jiang, J. H.: Evaluating clouds, aerosols, and their
interactions in three global climate models using satellite simulators and
observations, J. Geophys. Res., 119, 10876–10901, https://doi.org/10.1002/2014JD021722,
2014.
Bellouin, N., Quaas, J., Morcrette, J.-J., and Boucher, O.: Estimates of
aerosol radiative forcing from the MACC re-analysis, Atmos. Chem. Phys., 13,
2045–2062, https://doi.org/10.5194/acp-13-2045-2013, 2013.
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.
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, UK and New York, NY, USA, 571 pp.,
2013.
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, 583–594, https://doi.org/10.1002/qj.2140, 2014.
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. T., 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.
Carslaw, K. S., Gordon, H., Hamilton, D. S., Johnson, J. S., Regayre, L. A.,
Yoshioka, M., and Pringle, K. J.: Aerosols in the Pre-industrial Atmosphere,
Curr. Clim. Chang. Reports, 3, 1–15, https://doi.org/10.1007/s40641-017-0061-2, 2017.
Cherian, R., Quaas, 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.
Chu, Y., Liu, Y., Li, X., Liu, Z., Lu, H., Lu, Y., Mao, Z., Chen, X., Li, N.,
Ren, M., Liu, F., Tian, L., Zhu, Z., and Xiang, H.: A Review on Predicting Ground PM2.5
Concentration Using Satellite Aerosol Optical Depth, Atmosphere, 7, 129, https://doi.org/10.3390/atmos7100129, 2016.
Craig, P. S., Goldstein, M., Seheult, A. H., and Smith, J. A.: Pressure
Matching for Hydrocarbon Reservoirs: A Case Study in the Use of Bayes Linear
Strategies for Large Computer Experiments, in: Case Studies in Bayesian
Statistics, Lecture Notes in Statistics, Vol. 121, edited by: Gatsonis, C.,
Hodges, J. S., Kass, R. E., McCulloch, R., Rossi, P., and Singpurwalla N. D.,
Springer, New York, NY, 1997.
Edwards, N. R., Cameron, D., and Rougier, J.: Precalibrating an intermediate
complexity climate model, Clim. Dynam., 37, 1469–1482,
https://doi.org/10.1007/s00382-010-0921-0, 2011.
Ghan, S., Wang, M., Zhang, S., Ferrachat, S., Gettelman, 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, P. Natl. Acad. Sci. USA, 113, 5804–5811,
https://doi.org/10.1073/pnas.1514036113, 2016.
Ghan, S. J.: Technical Note: Estimating aerosol effects on cloud radiative
forcing, Atmos. Chem. Phys., 13, 9971–9974,
https://doi.org/10.5194/acp-13-9971-2013, 2013.
Ghan, S. J. and Schwartz, S. E.: Aerosol Properties and Processes: A Path
from Field and Laboratory Measurements to Global Climate Models, B. Am.
Meteorol. Soc., 88, 1059–1083, https://doi.org/10.1175/BAMS-88-7-1059, 2007.
Grandey, B. S., Stier, P., and Wagner, T. M.: Investigating relationships
between aerosol optical depth and cloud fraction using satellite, aerosol
reanalysis and general circulation model data, Atmos. Chem. Phys., 13,
3177–3184, https://doi.org/10.5194/acp-13-3177-2013, 2013.
Gryspeerdt, E. and Stier, P.: Regime-based analysis of aerosol-cloud
interactions, Geophys. Res. Lett., 39, 1–5, https://doi.org/10.1029/2012GL053221, 2012.
Gryspeerdt, E., Quaas, J., and Bellouin, N.: Constraining the aerosol
influence on cloud fraction, J. Geophys. Res., 121, 3566–3583,
https://doi.org/10.1002/2015JD023744, 2016.
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, P. Natl. Acad. Sci. USA, 114, 4899–4904,
https://doi.org/10.1073/pnas.1617765114, 2017.
HadGEM3: HadGEM3: Met Office climate prediction model: HadGEM3 family,
available at:
https://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadgem3
(last access: 4 September 2018), 2017.
Halmer, M. M., Schmincke, H.-U., and Graf, H.-F.: The annual volcanic gas
input into the atmosphere, in particular into the stratosphere: a global data
set for the past 100 years, J. Volcanol. Geoth. Res., 115, 511–528,
https://doi.org/10.1016/S0377-0273(01)00318-3, 2002.
Hamilton, D. S., Lee, L. A., Pringle, K. J., Reddington, C. L., Spracklen, D.
V., and Carslaw, K. S.: Occurrence of pristine aerosol environments on a
polluted planet, P. Natl. Acad. Sci. USA, 111, 18466–18471,
https://doi.org/10.1073/pnas.1415440111, 2014.
Hartmann, D. L., Klein Tank, A. M. G., Rusticucci, M., Alexander, L. V.,
Brönnimann, S., Charabi, Y. A. R., Dentener, F. J., Dlugokencky, E. J.,
Easterling, D. R., Kaplan, A., Soden, B. J., Thorne, P. W., Wild, M., and
Zhai, P.: Observations: Atmosphere and surface, Clim. Chang. 2013 Phys. Sci.
Basis Work. Gr. I Contrib. to Fifth Assess. Rep. Intergov. Panel Clim.
Chang., 9781107057, 159–254, https://doi.org/10.1017/CBO9781107415324.008, 2013.
Hawkins, E., Ortega, P., Suckling, E., Schurer, A., Hegerl, G., Jones, P., Joshi, M.,
Osborn, T. J., Masson-Delmotte, V., Mignot, J., Thorne, P., and van Oldenborgh, G. J.:
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.
Hourdin, F., Mauritsen, T., Gettelman, A., Golaz, J.-C., Balaji, V., Duan,
Q., Folini, D., Ji, D., Klocke, 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, 2016.
Kahn, R. A.: Reducing the Uncertainties in Direct Aerosol Radiative Forcing,
Surv. Geophys., 33, 701–721, https://doi.org/10.1007/s10712-011-9153-z, 2012.
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.-Atmos., 117, D23204,
https://doi.org/10.1029/2012JD018588, 2012.
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.
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.
Lebsock, M., Morrison, H., and Gettelman, A.: Microphysical implications of
cloud-precipitation covariance derived from satellite remote sensing, J.
Geophys. Res.-Atmos., 118, 6521–6533, https://doi.org/10.1002/jgrd.50347, 2013.
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.
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.
Lee, L. A., Reddington, C. L., and Carslaw, K. S.: On the relationship
between aerosol model uncertainty and radiative forcing uncertainty, P. Natl.
Acad. Sci. USA, 113, 5820–5827, https://doi.org/10.1073/pnas.1507050113, 2016.
Leibensperger, E. M., Mickley, L. J., Jacob, D. J., Chen, W.-T., Seinfeld, J.
H., Nenes, A., Adams, P. J., Streets, D. G., Kumar, N., and Rind, D.:
Climatic effects of 1950–2050 changes in US anthropogenic aerosols – Part
1: Aerosol trends and radiative forcing, Atmos. Chem. Phys., 12, 3333–3348,
https://doi.org/10.5194/acp-12-3333-2012, 2012.
Li, J., Han, Z., and Xie, Z.: Model analysis of long-term trends of aerosol
concentrations and direct radiative forcings over East Asia, Tellus B, 65,
20410, https://doi.org/10.3402/tellusb.v65i0.20410, 2013.
Liepert, B. and Tegen, I.: Multidecadal solar radiation trends in the United
States and Germany and direct tropospheric aerosol forcing, J. Geophys. Res.,
107, 4153, https://doi.org/10.1029/2001JD000760, 2002.
Liu, Y. and Gupta, H. V.: Uncertainty in hydrologic modeling: Toward an
integrated data assimilation framework, Water Resour. Res., 43, 1–18,
https://doi.org/10.1029/2006WR005756, 2007.
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.
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.
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, 1–18, https://doi.org/10.1029/2012MS000154,
2012.
McCoy, D. T., Tan, I., Hartmann, D. L., Zelinka, M. D., and Storelvmo, T.: On
the relationships among cloud cover, mixed-phase partitioning, and planetary
albedo in GCMs, J. Adv. Model. Earth Sy., 8, 650–668,
https://doi.org/10.1002/2015MS000589, 2016.
McNeall, D., Williams, J., Booth, B., Betts, R., Challenor, P., Wiltshire,
A., and Sexton, D.: The impact of structural error on parameter constraint in
a climate model, Earth Syst. Dynam., 7, 917–935,
https://doi.org/10.5194/esd-7-917-2016, 2016.
Murphy, J. M., Sexton, D. M. H., Barnett, D. N., Jones, G. S., Webb, M. J.,
Collins, M., and Stainforth, D. A.: Quantification of modelling uncertainties
in a large ensemble of climate change simulations, Nature, 430, 768–772,
https://doi.org/10.1038/nature02771, 2004.
Myhre, G., Berglen, T. F., Johnsrud, M., Hoyle, C. R., Berntsen, T. K.,
Christopher, S. A., Fahey, D. W., Isaksen, I. S. A., Jones, T. A., Kahn, R.
A., Loeb, N., Quinn, P., Remer, L., Schwarz, J. P., and Yttri, K. E.:
Modelled radiative forcing of the direct aerosol effect with
multi-observation evaluation, Atmos. Chem. Phys., 9, 1365–1392,
https://doi.org/10.5194/acp-9-1365-2009, 2009.
Myhre, G., Shindell, D., Bréon, F., Collins, W., Fuglestvedt, J., Huang,
J., Koch, D., Lamarque, J.-F., Lee, D., Mendoza, B, Nakajima, T., Robock, A.,
and Stephens, G.: 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., and Xia, Y., Cambridge University Press,
Cambridge, UK and New York, NY, USA, 659 pp., 2013.
O'Connor, F. M., Johnson, C. E., Morgenstern, O., Abraham, N. L., Braesicke,
P., Dalvi, M., Folberth, G. A., Sanderson, M. G., Telford, P. J.,
Voulgarakis, A., Young, P. J., Zeng, G., Collins, W. J., and Pyle, J. A.:
Evaluation of the new UKCA climate-composition model – Part 2: The
Troposphere, Geosci. Model Dev., 7, 41–91,
https://doi.org/10.5194/gmd-7-41-2014, 2014.
Penner, J. E., Xu, L., and Wang, M.: Satellite methods underestimate indirect
climate forcing by aerosols, P. Natl. Acad. Sci. USA, 108, 13404–13408,
https://doi.org/10.1073/pnas.1018526108, 2011.
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.
Pujol, G., Iooss, B., and Janon, A. (with contributions from: Boumhaout, K.,
Da Veiga, S., Delage, T., Fruth, J., Gilquin, L., Guillaume, J., Le Gratiet,
L., Lemaitre, P., Nelson, B. L., Monari, F., Oomen, R., Ramos, B., Roustant,
O., Song, E., Staum, J., Touati, T., and Weber, F.): Sensitivity: Global
Sensitivity Analysis of Model Outputs, R package version 1.14.0, available
at: https://CRAN.R-project.org/package=sensitivity (last access: 4
September 2018), 2017.
Quaas, J., Ming, Y., Menon, S., Takemura, T., Wang, M., Penner, J. E.,
Gettelman, A., Lohmann, U., Bellouin, N., Boucher, O., Sayer, A. M., Thomas,
G. E., McComiskey, A., Feingold, G., Hoose, C., Kristjánsson, J. E., Liu,
X., Balkanski, Y., Donner, L. J., Ginoux, P. A., Stier, P., Grandey, B.,
Feichter, J., Sednev, I., Bauer, S. E., Koch, D., Grainger, R. G.,
Kirkevåg, A., Iversen, T., Seland, Ø., Easter, R., Ghan, S. J., Rasch,
P. J., Morrison, H., Lamarque, J.-F., Iacono, M. J., Kinne, S., and Schulz,
M.: Aerosol indirect effects – general circulation model intercomparison and
evaluation with satellite data, Atmos. Chem. Phys., 9, 8697–8717,
https://doi.org/10.5194/acp-9-8697-2009, 2009.
Quaas, J., Stevens, B., Stier, P., and Lohmann, U.: Interpreting the cloud
cover – aerosol optical depth relationship found in satellite data using a
general circulation model, Atmos. Chem. Phys., 10, 6129–6135,
https://doi.org/10.5194/acp-10-6129-2010, 2010.
Reddington, C. L., Carslaw, K. S., Stier, P., Schutgens, N., Coe, H., Liu,
D., Allan, J., Browse, J., Pringle, K. J., Lee, L. A., Yoshioka, M., Johnson,
J. S., Regayre, L. A., Spracklen, D. V., Mann, G. W., Clarke, A., Hermann,
M., Henning, S., Wex, H., Kristensen, T. B., Leaitch, W. R., Pöschl, U.,
Rose, D., Andreae, M. O., Schmale, J., Kondo, Y., Oshima, N., Schwarz, J. P.,
Nenes, A., Anderson, B., Roberts, G. C., Snider, J. R., Leck, C., Quinn, P.
K., Chi, X., Ding, A., Jimenez, J. L., Zhang, Q., Reddington, C. L., Carslaw,
K. S., Stier, P., Schutgens, N., Coe, H., Liu, D., Allan, J., Browse, J.,
Pringle, K. J., Lee, L. A., Yoshioka, M., Johnson, J. S., Regayre, L. A.,
Spracklen, D. V., Mann, G. W., Clarke, A., Hermann, M., Henning, S., Wex, H.,
Kristensen, T. B., Leaitch, W. R., Pöschl, U., Rose, D., Andreae, M. O.,
Schmale, J., Kondo, Y., Oshima, N., Schwarz, J. P., Nenes, A., Anderson, B.,
Roberts, G. C., Snider, J. R., Leck, C., Quinn, P. K., Chi, X., Ding, A.,
Jimenez, J. L., and Zhang, Q.: The Global Aerosol Synthesis and Science
Project (GASSP): Measurements and Modeling to Reduce Uncertainty, B. Am.
Meteorol. Soc., 98, 1857–1877, https://doi.org/10.1175/BAMS-D-15-00317.1, 2017.
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., 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.
Regayre, L. A., Pringle, K. J., Lee, L. A., Rap, A., Browse, J., Mann, G. W.,
Reddington, C. L., Carslaw, K. S., Booth, B. B. B., and Woodhouse, M. T.: 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.
Regayre, L. A., Johnson, J. S., Yoshioka, M., Pringle, K. J., Sexton, D. M.
H., Booth, B. B. B., Lee, L. A., Bellouin, N., and Carslaw, K. S.: Aerosol
and physical atmosphere model parameters are both important sources of
uncertainty in aerosol ERF, Atmos. Chem. Phys., 18, 9975–10006,
https://doi.org/10.5194/acp-18-9975-2018, 2018.
Ridley, D. A., Heald, C. L., Ridley, K. J., and Kroll, J. H.: Causes and
consequences of decreasing atmospheric organic aerosol in the United States,
P. Natl. Acad. Sci. USA, 115, 290–295, https://doi.org/10.1073/pnas.1700387115, 2018.
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.
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/10.1080/00401706.1999.10485594, 1999.
Salter, J. M. and Williamson, D.: A comparison of statistical emulation
methodologies for multi-wave calibration of environmental models,
Environmetrics, 27, 507–523, https://doi.org/10.1002/env.2405, 2016.
Samset, B., Myhre, G., and Schulz, M.: Upward adjustment needed for aerosol
radiative forcing uncertainty, Nat. Clim. Change, 4, 13–15,
https://doi.org/10.1038/nclimate2170, 2014.
Schutgens, N. A. J., Partridge, D. G., and Stier, P.: The importance of
temporal collocation for the evaluation of aerosol models with observations,
Atmos. Chem. Phys., 16, 1065–1079, https://doi.org/10.5194/acp-16-1065-2016,
2016a.
Schutgens, N. A. J., Gryspeerdt, E., Weigum, N., Tsyro, S., Goto, D., Schulz,
M., and Stier, P.: Will a perfect model agree with perfect observations? The
impact of spatial sampling, Atmos. Chem. Phys., 16, 6335–6353,
https://doi.org/10.5194/acp-16-6335-2016, 2016b.
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, P. Natl. Acad. Sci. USA, 113, 5781–5790,
https://doi.org/10.1073/pnas.1514043113, 2016.
Sexton, D. M. H., Murphy, J. M., Collins, M., and Webb, M. J.: Multivariate
probabilistic projections using imperfect climate models part I: outline of
methodology, Clim. Dynam., 38, 2513–2542, https://doi.org/10.1007/s00382-011-1208-9,
2011.
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 Cent. Tech. note, Met Off.
UK, 2017.
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.
Stier, P.: Limitations of passive remote sensing to constrain global cloud
condensation nuclei, Atmos. Chem. Phys., 16, 6595–6607,
https://doi.org/10.5194/acp-16-6595-2016, 2016.
Terai, C. R., Wood, R., and Kubar, T. L.: Satellite estimates of
precipitation susceptibility in low-level marine stratiform clouds, J.
Geophys. Res., 120, 8878–8889, https://doi.org/10.1002/2015JD023319, 2015.
Turnock, S. T., Spracklen, D. V., Carslaw, K. S., Mann, G. W., Woodhouse, M.
T., Forster, P. M., Haywood, J., Johnson, C. E., Dalvi, M., Bellouin, N., and
Sanchez-Lorenzo, A.: Modelled and observed changes in aerosols and surface
solar radiation over Europe between 1960 and 2009, Atmos. Chem. Phys., 15,
9477–9500, https://doi.org/10.5194/acp-15-9477-2015, 2015.
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.
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.
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. Dynsm., 41, 1703–1729,
https://doi.org/10.1007/s00382-013-1896-4, 2013.
Yi, B., Yang, P., Bowman, K. P., and Liu, X.: Aerosol-cloud-precipitation
relationships from satellite observations and global climate model
simulations, J. Appl. Remote Sens., 6, 63503, https://doi.org/10.1117/1.JRS.6.063503,
2012.
Yoshioka, M., Regayre, L., Pringle, K. J., Mann, G. W., Sexton, D. M. H.,
Johnson, C. E., and Carslaw, K. S.: Perturbed parameter ensembles of the
HadGEM-UKCA composition-climate model to explore aerosol and radiative
forcing uncertainty, J. Adv. Earth Syst., in preparation, 2018.
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.
Zhang, Y., Wang, K., and He, J.: Multi-year application of WRF-CAM5 over East
Asia-Part II: Interannual variability, trend analysis, and aerosol indirect
effects, Atmos. Environ., 165, 222–239, https://doi.org/10.1016/j.atmosenv.2017.06.029,
2017.
Short summary
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.
We estimate the uncertainty in an aerosol–climate model that has been tuned to match several...
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