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Volume 12, issue 3
Atmos. Chem. Phys., 12, 1597–1609, 2012
https://doi.org/10.5194/acp-12-1597-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-12-1597-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 12, 1597–1609, 2012
https://doi.org/10.5194/acp-12-1597-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-12-1597-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article 14 Feb 2012
Research article | 14 Feb 2012
Impacts of changes in land use and land cover on atmospheric chemistry and air quality over the 21st century
S. Wu et al.
Related subject area
Subject: Biosphere Interactions | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Effects of fertilization and stand age on N2O and NO emissions from tea plantations: a site-scale study in a subtropical region using a modified biogeochemical model
Temperature response measurements from eucalypts give insight into the impact of Australian isoprene emissions on air quality in 2050
Data assimilation using an ensemble of models: a hierarchical approach
Fundamentals of data assimilation applied to biogeochemistry
Predicting wildfire burned area in South Central US using integrated machine learning techniques
On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems?
Historical (1700–2012) global multi-model estimates of the fire emissions from the Fire Modeling Intercomparison Project (FireMIP)
Contrasting effects of CO2 fertilization, land-use change and warming on seasonal amplitude of Northern Hemisphere CO2 exchange
The 2015–2016 carbon cycle as seen from OCO-2 and the global in situ network
Representing sub-grid scale variations in nitrogen deposition associated with land use in a global Earth system model: implications for present and future nitrogen deposition fluxes over North America
Global climate forcing driven by altered BVOC fluxes from 1990 to 2010 land cover change in maritime Southeast Asia
Coupling between surface ozone and leaf area index in a chemical transport model: strength of feedback and implications for ozone air quality and vegetation health
Contrasting interannual atmospheric CO2 variabilities and their terrestrial mechanisms for two types of El Niños
Vegetation greenness and land carbon-flux anomalies associated with climate variations: a focus on the year 2015
Biomass burning at Cape Grim: exploring photochemistry using multi-scale modelling
Wildfire air pollution hazard during the 21st century
Ozone and haze pollution weakens net primary productivity in China
How can mountaintop CO2 observations be used to constrain regional carbon fluxes?
Effects of ozone–vegetation coupling on surface ozone air quality via biogeochemical and meteorological feedbacks
Impact of Siberian observations on the optimization of surface CO2 flux
Modelling bidirectional fluxes of methanol and acetaldehyde with the FORCAsT canopy exchange model
The impact of historical land use change from 1850 to 2000 on secondary particulate matter and ozone
Global biogenic volatile organic compound emissions in the ORCHIDEE and MEGAN models and sensitivity to key parameters
Impacts of current and projected oil palm plantation expansion on air quality over Southeast Asia
Current estimates of biogenic emissions from eucalypts uncertain for southeast Australia
Air quality impacts of European wildfire emissions in a changing climate
Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling
Land cover change impacts on atmospheric chemistry: simulating projected large-scale tree mortality in the United States
High-resolution ammonia emissions inventories in China from 1980 to 2012
Delivery of anthropogenic bioavailable iron from mineral dust and combustion aerosols to the ocean
Impact of future land-cover changes on HNO3 and O3 surface dry deposition
Impact of climate and land cover changes on tropospheric ozone air quality and public health in East Asia between 1980 and 2010
Relationships between photosynthesis and formaldehyde as a probe of isoprene emission
A modified micrometeorological gradient method for estimating O3 dry depositions over a forest canopy
Biomass burning related ozone damage on vegetation over the Amazon forest: a model sensitivity study
Influence of CO2 observations on the optimized CO2 flux in an ensemble Kalman filter
Comparison of the HadGEM2 climate-chemistry model against in situ and SCIAMACHY atmospheric methane data
A joint data assimilation system (Tan-Tracker) to simultaneously estimate surface CO2 fluxes and 3-D atmospheric CO2 concentrations from observations
Potential climate forcing of land use and land cover change
Ozone vegetation damage effects on gross primary productivity in the United States
Response of acid mobilization of iron-containing mineral dust to improvement of air quality projected in the future
Influence of future climate and cropland expansion on isoprene emissions and tropospheric ozone
Impacts of seasonal and regional variability in biogenic VOC emissions on surface ozone in the Pearl River delta region, China
Impact of transport model errors on the global and regional methane emissions estimated by inverse modelling
WRF-Chem simulations in the Amazon region during wet and dry season transitions: evaluation of methane models and wetland inundation maps
Probabilistic estimation of future emissions of isoprene and surface oxidant chemistry associated with land-use change in response to growing food needs
Quantifying the uncertainty in simulating global tropospheric composition due to the variability in global emission estimates of Biogenic Volatile Organic Compounds
How have both cultivation and warming influenced annual global isoprene and monoterpene emissions since the preindustrial era?
In-canopy gas-phase chemistry during CABINEX 2009: sensitivity of a 1-D canopy model to vertical mixing and isoprene chemistry
Steps towards a mechanistic model of global soil nitric oxide emissions: implementation and space based-constraints
Wei Zhang, Zhisheng Yao, Xunhua Zheng, Chunyan Liu, Rui Wang, Kai Wang, Siqi Li, Shenghui Han, Qiang Zuo, and Jianchu Shi
Atmos. Chem. Phys., 20, 6903–6919, https://doi.org/10.5194/acp-20-6903-2020, https://doi.org/10.5194/acp-20-6903-2020, 2020
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The CNMM-DNDC model was modified by improving the scientific processes of soil pH reduction due to tea growth and performed well in simulating emissions of nitrous oxide and nitric oxide. Effects of manure fertilization and stand ages on emissions of both gases were well simulated. Simulated annual emission factors correlate positively with urea or manure doses. The overall inhibitory effects on the gases' emissions in the middle to late stages during a full tea plant lifetime were simulated.
Kathryn M. Emmerson, Malcolm Possell, Michael J. Aspinwall, Sebastian Pfautsch, and Mark G. Tjoelker
Atmos. Chem. Phys., 20, 6193–6206, https://doi.org/10.5194/acp-20-6193-2020, https://doi.org/10.5194/acp-20-6193-2020, 2020
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Australian cities with a high biogenic influence will see higher pollution levels in a warmer climate. We show that four Eucalyptus species grown in future-climate conditions can emit isoprene at temperatures 9 K above the peak temperatures capping isoprene in biogenic-emission models. With these measurements, we predict up to 2 ppb increases in isoprene in 2050, causing up to 21 ppb of ozone and 0.4 µg m−3 of aerosol in Sydney. The ozone increase is one-fifth of the hourly air quality limit.
Peter Rayner
Atmos. Chem. Phys., 20, 3725–3737, https://doi.org/10.5194/acp-20-3725-2020, https://doi.org/10.5194/acp-20-3725-2020, 2020
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This work extends previous calculations of carbon dioxide sources and sinks to take account of the varying quality of atmospheric models. It uses an extended version of Bayesian statistics which includes the model as one of the unknowns. I performed the work as an example of including the model in the description of the uncertainty.
Peter J. Rayner, Anna M. Michalak, and Frédéric Chevallier
Atmos. Chem. Phys., 19, 13911–13932, https://doi.org/10.5194/acp-19-13911-2019, https://doi.org/10.5194/acp-19-13911-2019, 2019
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This paper describes the methods for combining models and data to understand how nutrients and pollutants move through natural systems. The methods are analogous to the process of weather forecasting in which previous information is combined with new observations and a model to improve our knowledge of the internal state of the physical system. The methods appear highly diverse but the paper shows that they are all examples of a single underlying formalism.
Sing-Chun Wang and Yuxuan Wang
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-885, https://doi.org/10.5194/acp-2019-885, 2019
Revised manuscript accepted for ACP
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Occurrences of devastating wildfires have been on the rise in the United States for the past decades. Here we develop a model integrating multiple machine learning algorithms to predict gridded monthly wildfire burned area over the South Central United States. This developed model allows us to predict gridded burned area more accurately, which is beneficial for potential applications of studying climate-driven changes of wildfire behaviors and their impact on air quality.
Brendan Byrne, Dylan B. A. Jones, Kimberly Strong, Saroja M. Polavarapu, Anna B. Harper, David F. Baker, and Shamil Maksyutov
Atmos. Chem. Phys., 19, 13017–13035, https://doi.org/10.5194/acp-19-13017-2019, https://doi.org/10.5194/acp-19-13017-2019, 2019
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Interannual variations in net ecosystem exchange (NEE) estimated from the Greenhouse Gases Observing Satellite (GOSAT) XCO2 measurements are shown to be correlated (P < 0.05) with temperature and FLUXCOM NEE anomalies. Furthermore, the GOSAT-informed NEE anomalies are found to be better correlated with temperature and FLUXCOM anomalies than NEE estimates from most terrestrial biosphere models, suggesting that GOSAT CO2 measurements provide a useful constraint on NEE interannual variability.
Fang Li, Maria Val Martin, Meinrat O. Andreae, Almut Arneth, Stijn Hantson, Johannes W. Kaiser, Gitta Lasslop, Chao Yue, Dominique Bachelet, Matthew Forrest, Erik Kluzek, Xiaohong Liu, Stephane Mangeon, Joe R. Melton, Daniel S. Ward, Anton Darmenov, Thomas Hickler, Charles Ichoku, Brian I. Magi, Stephen Sitch, Guido R. van der Werf, Christine Wiedinmyer, and Sam S. Rabin
Atmos. Chem. Phys., 19, 12545–12567, https://doi.org/10.5194/acp-19-12545-2019, https://doi.org/10.5194/acp-19-12545-2019, 2019
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Fire emissions are critical for atmospheric composition, climate, carbon cycle, and air quality. We provide the first global multi-model fire emission reconstructions for 1700–2012, including carbon and 33 species of trace gases and aerosols, based on the nine state-of-the-art global fire models that participated in FireMIP. We also provide information on the recent status and limitations of the model-based reconstructions and identify the main uncertainty sources in their long-term changes.
Ana Bastos, Philippe Ciais, Frédéric Chevallier, Christian Rödenbeck, Ashley P. Ballantyne, Fabienne Maignan, Yi Yin, Marcos Fernández-Martínez, Pierre Friedlingstein, Josep Peñuelas, Shilong L. Piao, Stephen Sitch, William K. Smith, Xuhui Wang, Zaichun Zhu, Vanessa Haverd, Etsushi Kato, Atul K. Jain, Sebastian Lienert, Danica Lombardozzi, Julia E. M. S. Nabel, Philippe Peylin, Benjamin Poulter, and Dan Zhu
Atmos. Chem. Phys., 19, 12361–12375, https://doi.org/10.5194/acp-19-12361-2019, https://doi.org/10.5194/acp-19-12361-2019, 2019
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Here we show that land-surface models improved their ability to simulate the increase in the amplitude of seasonal CO2-cycle exchange (SCANBP) by ecosystems compared to estimates by two atmospheric inversions. We find a dominant role of vegetation growth over boreal Eurasia to the observed increase in SCANBP, strongly driven by CO2 fertilization, and an overall negative effect of temperature on SCANBP. Biases can be explained by the sensitivity of simulated microbial respiration to temperature.
Sean Crowell, David Baker, Andrew Schuh, Sourish Basu, Andrew R. Jacobson, Frederic Chevallier, Junjie Liu, Feng Deng, Liang Feng, Kathryn McKain, Abhishek Chatterjee, John B. Miller, Britton B. Stephens, Annmarie Eldering, David Crisp, David Schimel, Ray Nassar, Christopher W. O'Dell, Tomohiro Oda, Colm Sweeney, Paul I. Palmer, and Dylan B. A. Jones
Atmos. Chem. Phys., 19, 9797–9831, https://doi.org/10.5194/acp-19-9797-2019, https://doi.org/10.5194/acp-19-9797-2019, 2019
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Space-based retrievals of carbon dioxide offer the potential to provide dense data in regions that are sparsely observed by the surface network. We find that flux estimates that are informed by the Orbiting Carbon Observatory-2 (OCO-2) show different character from that inferred using surface measurements in tropical land regions, particularly in Africa, with a much larger total emission and larger amplitude seasonal cycle.
Fabien Paulot, Sergey Malyshev, Tran Nguyen, John D. Crounse, Elena Shevliakova, and Larry W. Horowitz
Atmos. Chem. Phys., 18, 17963–17978, https://doi.org/10.5194/acp-18-17963-2018, https://doi.org/10.5194/acp-18-17963-2018, 2018
Kandice L. Harper and Nadine Unger
Atmos. Chem. Phys., 18, 16931–16952, https://doi.org/10.5194/acp-18-16931-2018, https://doi.org/10.5194/acp-18-16931-2018, 2018
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Chemistry–climate modeling finds that the induced global-mean ozone forcing for 1990–2010 maritime Southeast Asian land cover change, including expansion of high-isoprene-emitting oil palm plantations, is +9.2 mW m−2. Regional land cover change drove stronger global-mean ozone enhancements in the upper troposphere than in the lower troposphere. The results indicate that this mechanism of ozone forcing may increase in importance in future years if regional oil palm expansion continues unabated.
Shan S. Zhou, Amos P. K. Tai, Shihan Sun, Mehliyar Sadiq, Colette L. Heald, and Jeffrey A. Geddes
Atmos. Chem. Phys., 18, 14133–14148, https://doi.org/10.5194/acp-18-14133-2018, https://doi.org/10.5194/acp-18-14133-2018, 2018
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Surface ozone pollution harms vegetation. As plants play key roles shaping air quality, the plant damage may further worsen air pollution. We use various computer models to examine such feedback effects, and find that ozone-induced decline in leaf density can lead to much higher ozone levels in forested regions, mostly due to the reduced ability of leaves to absorb pollutants. This study highlights the importance of considering the two-way interactions between plants and air pollution.
Jun Wang, Ning Zeng, Meirong Wang, Fei Jiang, Jingming Chen, Pierre Friedlingstein, Atul K. Jain, Ziqiang Jiang, Weimin Ju, Sebastian Lienert, Julia Nabel, Stephen Sitch, Nicolas Viovy, Hengmao Wang, and Andrew J. Wiltshire
Atmos. Chem. Phys., 18, 10333–10345, https://doi.org/10.5194/acp-18-10333-2018, https://doi.org/10.5194/acp-18-10333-2018, 2018
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Based on the Mauna Loa CO2 records and TRENDY multi-model historical simulations, we investigate the different impacts of EP and CP El Niños on interannual carbon cycle variability. Composite analysis indicates that the evolutions of CO2 growth rate anomalies have three clear differences in terms of precursors (negative and neutral), amplitudes (strong and weak), and durations of peak (Dec–Apr and Oct–Jan) during EP and CP El Niños, respectively. We further discuss their terrestrial mechanisms.
Chao Yue, Philippe Ciais, Ana Bastos, Frederic Chevallier, Yi Yin, Christian Rödenbeck, and Taejin Park
Atmos. Chem. Phys., 17, 13903–13919, https://doi.org/10.5194/acp-17-13903-2017, https://doi.org/10.5194/acp-17-13903-2017, 2017
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The year 2015 appeared as a paradox regarding how global carbon cycle has responded to climate variation: it is the greenest year since 2000 according to satellite observation, but the atmospheric CO2 growth rate is also the highest since 1959. We found that this is due to a only moderate land carbon sink, because high growing-season sink in northern lands has been partly offset by autumn and winter release and the late-year El Niño has led to an abrupt transition to land source in the tropics.
Sarah J. Lawson, Martin Cope, Sunhee Lee, Ian E. Galbally, Zoran Ristovski, and Melita D. Keywood
Atmos. Chem. Phys., 17, 11707–11726, https://doi.org/10.5194/acp-17-11707-2017, https://doi.org/10.5194/acp-17-11707-2017, 2017
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A high-resolution chemical transport model was used to reproduce observed smoke plumes. The model output was highly sensitive to fire emission factors and meteorology, particularly for secondary pollutant ozone. Aged urban air (age = 2 days) was the major source of ozone observed, with minor contributions from the fire. This work highlights the importance of assessing model sensitivity and the use of modelling to determine the contribution from different sources to atmospheric composition.
Wolfgang Knorr, Frank Dentener, Jean-François Lamarque, Leiwen Jiang, and Almut Arneth
Atmos. Chem. Phys., 17, 9223–9236, https://doi.org/10.5194/acp-17-9223-2017, https://doi.org/10.5194/acp-17-9223-2017, 2017
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Wildfires cause considerable air pollution, and climate change is usually expected to increase both wildfire activity and air pollution from those fires. This study takes a closer look at the problem by examining the role of demographic changes in addition to climate change. It finds that demographics will be the main driver of changes in wildfire activity in many parts of the developing world. Air pollution from wildfires will remain significant, with major implications for air quality policy.
Xu Yue, Nadine Unger, Kandice Harper, Xiangao Xia, Hong Liao, Tong Zhu, Jingfeng Xiao, Zhaozhong Feng, and Jing Li
Atmos. Chem. Phys., 17, 6073–6089, https://doi.org/10.5194/acp-17-6073-2017, https://doi.org/10.5194/acp-17-6073-2017, 2017
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While it is widely recognized that air pollutants adversely affect human health and climate change, their impacts on the regional carbon balance are less well understood. We apply an Earth system model to quantify the combined effects of ozone and aerosol particles on net primary production in China. Ozone vegetation damage dominates over the aerosol effects, leading to a substantial net suppression of land carbon uptake in the present and future worlds.
John C. Lin, Derek V. Mallia, Dien Wu, and Britton B. Stephens
Atmos. Chem. Phys., 17, 5561–5581, https://doi.org/10.5194/acp-17-5561-2017, https://doi.org/10.5194/acp-17-5561-2017, 2017
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Mountainous areas can potentially serve as regions where the key greenhouse gas, carbon dioxide (CO2), can be absorbed from the atmosphere by vegetation, through photosynthesis. Variations in atmospheric CO2 can be used to understand the amount of biospheric fluxes in general. However, CO2 measured in mountains can be difficult to interpret due to the impact from complex atmospheric flows. We show how mountaintop CO2 data can be interpreted by carrying out a series of atmospheric simulations.
Mehliyar Sadiq, Amos P. K. Tai, Danica Lombardozzi, and Maria Val Martin
Atmos. Chem. Phys., 17, 3055–3066, https://doi.org/10.5194/acp-17-3055-2017, https://doi.org/10.5194/acp-17-3055-2017, 2017
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Surface ozone harms vegetation, which can influence not only climate but also ozone air quality itself. We implement a scheme for ozone damage on vegetation into an Earth system model, so that for the first time simulated vegetation and ozone can coevolve in a fully coupled simulation. With ozone–vegetation coupling, simulated ozone is found to be significantly higher by up to 6 ppbv. Reduced dry deposition and enhanced isoprene emission contribute to most of these increases.
Jinwoong Kim, Hyun Mee Kim, Chun-Ho Cho, Kyung-On Boo, Andrew R. Jacobson, Motoki Sasakawa, Toshinobu Machida, Mikhail Arshinov, and Nikolay Fedoseev
Atmos. Chem. Phys., 17, 2881–2899, https://doi.org/10.5194/acp-17-2881-2017, https://doi.org/10.5194/acp-17-2881-2017, 2017
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To investigate the effect of CO2 observations in Siberia on the surface CO2 flux analyses, two experiments using observation data sets with and without Siberian measurements were performed. While the magnitude of the optimized surface CO2 flux uptake in Siberia decreased, that in the other regions of the Northern Hemisphere increased for the experiment with Siberian observations. It is expected that the Siberian observations play an important role in estimating surface CO2 flux in the future.
Kirsti Ashworth, Serena H. Chung, Karena A. McKinney, Ying Liu, J. William Munger, Scot T. Martin, and Allison L. Steiner
Atmos. Chem. Phys., 16, 15461–15484, https://doi.org/10.5194/acp-16-15461-2016, https://doi.org/10.5194/acp-16-15461-2016, 2016
Colette L. Heald and Jeffrey A. Geddes
Atmos. Chem. Phys., 16, 14997–15010, https://doi.org/10.5194/acp-16-14997-2016, https://doi.org/10.5194/acp-16-14997-2016, 2016
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Humans have altered the surface of the Earth since preindustrial times. These changes (largely expansion of croplands and pasturelands) have modified biosphere–atmosphere fluxes. In this study we use a global model to assess the impact of these changes on the formation of secondary particulate matter and troposphere ozone. We find that there are significant air quality and climate impacts associated with these changes.
Palmira Messina, Juliette Lathière, Katerina Sindelarova, Nicolas Vuichard, Claire Granier, Josefine Ghattas, Anne Cozic, and Didier A. Hauglustaine
Atmos. Chem. Phys., 16, 14169–14202, https://doi.org/10.5194/acp-16-14169-2016, https://doi.org/10.5194/acp-16-14169-2016, 2016
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We provide BVOC emissions for the present scenario, employing the updated ORCHIDEE emission module and the MEGAN model. The modelling community still faces the problem of emission model evaluation because of the absence of adequate observations. The accurate analysis performed, employing the two models, allowed the various processes modelled to be investigated, in order to fully understand the origin of the mismatch between the model estimates and to quantify the emission uncertainties.
Sam J. Silva, Colette L. Heald, Jeffrey A. Geddes, Kemen G. Austin, Prasad S. Kasibhatla, and Miriam E. Marlier
Atmos. Chem. Phys., 16, 10621–10635, https://doi.org/10.5194/acp-16-10621-2016, https://doi.org/10.5194/acp-16-10621-2016, 2016
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We investigate the impacts of current (2010) and future (2020) oil palm plantations across Southeast Asia on surface–atmosphere exchange and air quality using satellite data, land maps, and a chemical transport model. These changes lead to increases in surface ozone and particulate matter. Oil palm plantations are likely to continue to degrade regional air quality in the coming decade and hinder efforts to achieve air quality regulations in major urban areas such as Kuala Lumpur and Singapore.
Kathryn M. Emmerson, Ian E. Galbally, Alex B. Guenther, Clare Paton-Walsh, Elise-Andree Guerette, Martin E. Cope, Melita D. Keywood, Sarah J. Lawson, Suzie B. Molloy, Erin Dunne, Marcus Thatcher, Thomas Karl, and Simin D. Maleknia
Atmos. Chem. Phys., 16, 6997–7011, https://doi.org/10.5194/acp-16-6997-2016, https://doi.org/10.5194/acp-16-6997-2016, 2016
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We have tested how a model using a global inventory of plant-based emissions compares with four sets of measurements made in southeast Australia. This region is known for its eucalypt species, which dominate the summertime global inventory. The Australian part of the inventory has been produced using measurements made on eucalypt saplings. The model could not match the measurements, and the inventory needs to be improved by taking measurements of a wider range of Australian plant types and ages.
Wolfgang Knorr, Frank Dentener, Stijn Hantson, Leiwen Jiang, Zbigniew Klimont, and Almut Arneth
Atmos. Chem. Phys., 16, 5685–5703, https://doi.org/10.5194/acp-16-5685-2016, https://doi.org/10.5194/acp-16-5685-2016, 2016
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Wildfires are generally expected to increase in frequency and severity due to climate change. For Europe this could mean increased air pollution levels during the summer. Until 2050, predicted changes are moderate, but under a scenario of strong climate change, these may increase considerably during the later part of the current century. In Portugal and several parts of the Mediterranean, emissions may become relevant for meeting WHO concentration targets.
Stephan Henne, Dominik Brunner, Brian Oney, Markus Leuenberger, Werner Eugster, Ines Bamberger, Frank Meinhardt, Martin Steinbacher, and Lukas Emmenegger
Atmos. Chem. Phys., 16, 3683–3710, https://doi.org/10.5194/acp-16-3683-2016, https://doi.org/10.5194/acp-16-3683-2016, 2016
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Greenhouse gas emissions can be assessed by "top-down" methods that combine atmospheric observations, a transport model and a mathematical optimisation framework. Here, we apply such a top-down method to the methane emissions of Switzerland, utilising observations from the recently installed CarboCount-CH network. Our Swiss total emissions largely agree with those of the national "bottom-up" inventory, whereas regional differences suggest lower than reported emissions from manure handling.
Jeffrey A. Geddes, Colette L. Heald, Sam J. Silva, and Randall V. Martin
Atmos. Chem. Phys., 16, 2323–2340, https://doi.org/10.5194/acp-16-2323-2016, https://doi.org/10.5194/acp-16-2323-2016, 2016
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Land use and land cover changes driven by anthropogenic activities or natural causes (e.g., forestry management, agriculture, wildfires) can impact climate and air quality in many complex ways. Using a state-of-the-art chemistry model, we investigate how tree mortality in the US due to insect infestation and disease outbreak may impact atmospheric composition. We find that the surface concentrations of ozone and aerosol can be altered due to changing background emissions and loss processes.
Yaning Kang, Mingxu Liu, Yu Song, Xin Huang, Huan Yao, Xuhui Cai, Hongsheng Zhang, Ling Kang, Xuejun Liu, Xiaoyuan Yan, Hong He, Qiang Zhang, Min Shao, and Tong Zhu
Atmos. Chem. Phys., 16, 2043–2058, https://doi.org/10.5194/acp-16-2043-2016, https://doi.org/10.5194/acp-16-2043-2016, 2016
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The multi-year (1980–2012) comprehensive ammonia emissions inventories were compiled for China on 1 km × 1 km grid.
Various realistic parameters (ambient temperature, wind speed, soil acidity, synthetic fertilizer types, etc.) were considered in these inventories to synthetically refine the emission factors of ammonia volatilization according to local agricultural practice.
This paper shows the interannual trend and spatial distribution of ammonia emissions in details over recent decades.
A. Ito and Z. Shi
Atmos. Chem. Phys., 16, 85–99, https://doi.org/10.5194/acp-16-85-2016, https://doi.org/10.5194/acp-16-85-2016, 2016
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A new Fe dissolution scheme is developed and is applied to an atmospheric chemistry transport model to estimate anthropogenic soluble Fe deposition. Our improved model successfully captured an inverse relationship of Fe solubility and total Fe loading. Our model estimated the low end of Fe solubility compared to the previous studies. Our model results suggest that human activities contribute to about half of bioavailable Fe supply to significant portions of the oceans in the Northern Hemisphere.
T. Verbeke, J. Lathière, S. Szopa, and N. de Noblet-Ducoudré
Atmos. Chem. Phys., 15, 13555–13568, https://doi.org/10.5194/acp-15-13555-2015, https://doi.org/10.5194/acp-15-13555-2015, 2015
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Dry deposition is a key component of surface-atmosphere exchange of compounds, acting as a sink for several chemical species and strongly driven by meteorological factors, chemical properties of the trace gas considered and land surface properties. The objective of our study is to investigate the impact of vegetation distribution change, which is still not very well quantified, on the dry deposition of key atmospheric species: ozone and nitric acid vapor.
Y. Fu and A. P. K. Tai
Atmos. Chem. Phys., 15, 10093–10106, https://doi.org/10.5194/acp-15-10093-2015, https://doi.org/10.5194/acp-15-10093-2015, 2015
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Historical land cover and land use change alone between 1980 and 2010 could lead to reduced summertime surface ozone by up to 4ppbv in East Asia. Climate change alone could lead to an increase in summertime ozone by 2-10ppbv in most of East Asia. Land cover change could offset part of the climate effect and lead to a previously unknown public health benefit. The sensitivity of surface ozone to land cover change is more dependent on dry deposition than isoprene emission in most of East Asia.
Y. Zheng, N. Unger, M. P. Barkley, and X. Yue
Atmos. Chem. Phys., 15, 8559–8576, https://doi.org/10.5194/acp-15-8559-2015, https://doi.org/10.5194/acp-15-8559-2015, 2015
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We apply two global observational data sets, gross primary productivity (GPP) and tropospheric formaldehyde column variability (HCHOv), to probe isoprene emission variability on large spatiotemporal scales. GPP and HCHOv are decoupled or weakly anticorrelated in regions and seasons when isoprene emission is high. Isoprene emission models that include soil moisture dependence demonstrate greater skill in reproducing observed seasonal GPP-HCHOv correlations in the southeast US and the Amazon.
Z. Y. Wu, L. Zhang, X. M. Wang, and J. W. Munger
Atmos. Chem. Phys., 15, 7487–7496, https://doi.org/10.5194/acp-15-7487-2015, https://doi.org/10.5194/acp-15-7487-2015, 2015
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In this study, we have developed a modified micrometeorological gradient method (MGM), although based on existing micrometeorological theory, to estimate O3 dry deposition fluxes over a forest canopy using concentration gradients between a level above and a level below the canopy top. The new method provides an alternative approach in monitoring/estimating long-term deposition fluxes of similar pollutants over tall canopies and is expected to be useful for the scientific community.
F. Pacifico, G. A. Folberth, S. Sitch, J. M. Haywood, L. V. Rizzo, F. F. Malavelle, and P. Artaxo
Atmos. Chem. Phys., 15, 2791–2804, https://doi.org/10.5194/acp-15-2791-2015, https://doi.org/10.5194/acp-15-2791-2015, 2015
J. Kim, H. M. Kim, and C.-H. Cho
Atmos. Chem. Phys., 14, 13515–13530, https://doi.org/10.5194/acp-14-13515-2014, https://doi.org/10.5194/acp-14-13515-2014, 2014
G. D. Hayman, F. M. O'Connor, M. Dalvi, D. B. Clark, N. Gedney, C. Huntingford, C. Prigent, M. Buchwitz, O. Schneising, J. P. Burrows, C. Wilson, N. Richards, and M. Chipperfield
Atmos. Chem. Phys., 14, 13257–13280, https://doi.org/10.5194/acp-14-13257-2014, https://doi.org/10.5194/acp-14-13257-2014, 2014
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Globally, wetlands are a major source of methane, which is the second most important greenhouse gas. We find the JULES wetland methane scheme to perform well in general, although there is a tendency for it to overpredict emissions in the tropics and underpredict them in northern latitudes. Our study highlights novel uses of satellite data as a major tool to constrain land-atmosphere methane flux models in a warming world.
X. Tian, Z. Xie, Y. Liu, Z. Cai, Y. Fu, H. Zhang, and L. Feng
Atmos. Chem. Phys., 14, 13281–13293, https://doi.org/10.5194/acp-14-13281-2014, https://doi.org/10.5194/acp-14-13281-2014, 2014
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A new carbon cycle data assimilation system (Tan-Tracker) is developed based on an advanced hybrid assimilation approach, as a part of the preparation for the launch of the Chinese carbon dioxide observation satellite (TanSat). Tan-Tracker adopts a joint data assimilation framework to simultaneously estimate CO2 concentrations and CFs and thus gradually reduce the uncertainty in the CO2 concentration evolution through continuously fitting model CO2 concentration simulations to the observations.
D. S. Ward, N. M. Mahowald, and S. Kloster
Atmos. Chem. Phys., 14, 12701–12724, https://doi.org/10.5194/acp-14-12701-2014, https://doi.org/10.5194/acp-14-12701-2014, 2014
Short summary
Short summary
While climate change mitigation policy often focuses on the energy sector, we find that 40% of the historical human-caused change in the Earth’s radiative balance can be attributed to land use activities, such as deforestation and agriculture. Since pressure on land resources is expected to increase, we compute a theoretical upper bound on the radiative balance impacts from future land use which suggests that both energy policy and land policy are necessary to minimize future climate change.
X. Yue and N. Unger
Atmos. Chem. Phys., 14, 9137–9153, https://doi.org/10.5194/acp-14-9137-2014, https://doi.org/10.5194/acp-14-9137-2014, 2014
A. Ito and L. Xu
Atmos. Chem. Phys., 14, 3441–3459, https://doi.org/10.5194/acp-14-3441-2014, https://doi.org/10.5194/acp-14-3441-2014, 2014
O. J. Squire, A. T. Archibald, N. L. Abraham, D. J. Beerling, C. N. Hewitt, J. Lathière, R. C. Pike, P. J. Telford, and J. A. Pyle
Atmos. Chem. Phys., 14, 1011–1024, https://doi.org/10.5194/acp-14-1011-2014, https://doi.org/10.5194/acp-14-1011-2014, 2014
S. Situ, A. Guenther, X. Wang, X. Jiang, A. Turnipseed, Z. Wu, J. Bai, and X. Wang
Atmos. Chem. Phys., 13, 11803–11817, https://doi.org/10.5194/acp-13-11803-2013, https://doi.org/10.5194/acp-13-11803-2013, 2013
R. Locatelli, P. Bousquet, F. Chevallier, A. Fortems-Cheney, S. Szopa, M. Saunois, A. Agusti-Panareda, D. Bergmann, H. Bian, P. Cameron-Smith, M. P. Chipperfield, E. Gloor, S. Houweling, S. R. Kawa, M. Krol, P. K. Patra, R. G. Prinn, M. Rigby, R. Saito, and C. Wilson
Atmos. Chem. Phys., 13, 9917–9937, https://doi.org/10.5194/acp-13-9917-2013, https://doi.org/10.5194/acp-13-9917-2013, 2013
V. Beck, C. Gerbig, T. Koch, M. M. Bela, K. M. Longo, S. R. Freitas, J. O. Kaplan, C. Prigent, P. Bergamaschi, and M. Heimann
Atmos. Chem. Phys., 13, 7961–7982, https://doi.org/10.5194/acp-13-7961-2013, https://doi.org/10.5194/acp-13-7961-2013, 2013
C. J. Hardacre, P. I. Palmer, K. Baumanns, M. Rounsevell, and D. Murray-Rust
Atmos. Chem. Phys., 13, 5451–5472, https://doi.org/10.5194/acp-13-5451-2013, https://doi.org/10.5194/acp-13-5451-2013, 2013
J. E. Williams, P. F. J. van Velthoven, and C. A. M. Brenninkmeijer
Atmos. Chem. Phys., 13, 2857–2891, https://doi.org/10.5194/acp-13-2857-2013, https://doi.org/10.5194/acp-13-2857-2013, 2013
K. Tanaka, H.-J. Kim, K. Saito, H. G. Takahashi, M. Watanabe, T. Yokohata, M. Kimoto, K. Takata, and T. Yasunari
Atmos. Chem. Phys., 12, 9703–9718, https://doi.org/10.5194/acp-12-9703-2012, https://doi.org/10.5194/acp-12-9703-2012, 2012
A. M. Bryan, S. B. Bertman, M. A. Carroll, S. Dusanter, G. D. Edwards, R. Forkel, S. Griffith, A. B. Guenther, R. F. Hansen, D. Helmig, B. T. Jobson, F. N. Keutsch, B. L. Lefer, S. N. Pressley, P. B. Shepson, P. S. Stevens, and A. L. Steiner
Atmos. Chem. Phys., 12, 8829–8849, https://doi.org/10.5194/acp-12-8829-2012, https://doi.org/10.5194/acp-12-8829-2012, 2012
R. C. Hudman, N. E. Moore, A. K. Mebust, R. V. Martin, A. R. Russell, L. C. Valin, and R. C. Cohen
Atmos. Chem. Phys., 12, 7779–7795, https://doi.org/10.5194/acp-12-7779-2012, https://doi.org/10.5194/acp-12-7779-2012, 2012
Cited articles
Alexander, B., Park, R .J., Jacob D. J., Li, Q. B., Yantosca, R. M., Savarino, J., Lee, C. C. W., and Thiemens, M. H.: Sulfate formation in sea-salt aerosols: Constraints from oxygen isotopes, J. Geophys. Res., 110, D10307, https://doi.org/10.1029/2004JD005659, 2005.
%Arneth, A., Niinemets, U., Pressley, S., et al.\blackbox\textbfplease name all authors, Process-based estimates of %terrestrial ecosystem isoprene emissions: incorporating the effects of a %direct CO2–isoprene interaction, Atmos. Chem. Phys, 7, 31–53, 2007. Arneth, A., Niinemets, Ü., Pressley, S., Bäck, J., Hari, P., Karl, T., Noe, S., Prentice, I. C., Serça, D., Hickler, T., Wolf, A., and Smith, B.: Process-based estimates of terrestrial ecosystem isoprene emissions: incorporating the effects of a direct CO2-isoprene interaction, Atmos. Chem. Phys., 7, 31–53, http://dx.doi.org/10.5194/acp-7-31-2007https://doi.org/10.5194/acp-7-31-2007, 2007.
Bachelet, D., Neilson, R. P., Lenihan, J. M., and Drapek, R. J.: Climate change effects on the vegetation distribution and carbon budget in the United States, Ecosystems, 4, 164–185, 2001.
Bachelet, D., R. P. Neilson, T., Hickler, R. J., Drapek, J. M., Lenihan, M. T., Sykes, B., Smith, S., Sitch, and Thonicke, K.: Simulating past and future dynamics of natural ecosystems in the United States, Global Biogeochem. Cy., 17, 1045, https://doi.org/1029/2001GB001508, 2003.
Bey, I., Jacob, D. J., Yantosca R. M., Logan, J. A., Field, B. D., Fiore, A. M., Li, Q., Liu, H., Mickley, L. J., and Schultz, M.: Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation, J. Geophys. Res., 106, 23073–23096, 2001.
Brasseur, G. P., Schultz, M., Granier, C., Saunois, M., Diehl, T., Botzet, M., Roeckner, E., and Walters, S.: Impact of climate change on the future chemical composition of the global troposphere, J. Clim., 19, 3932–3951, https://doi.org/10.1175/JCLI3832.1, 2006.
Centritto, M., Nascetti, P., Petrilli, L., Raschi, A., and Loreto, F.: Profiles of isoprene emission and photosynthetic parameters in hybrid poplars exposed to free-air CO2 enrichment, Plant Cell Environ, 27, 403–412, 2004.
Chung, S. H. and Seinfeld, J. H.: Global distribution and climate forcing of carbonaceous aerosols, J. Geophys. Res., 107, 4407, https://doi.org/10.1029/2001JD001397, 2002.
Cox, P. M., Betts, R. A., Jones, C. D., Spall, S. A., and Totterdell, I. J.: Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model, Nature, 408, 184–187, 2000.
Cox, P. M., Betts, R. A., Collins, M., Harris, P. P., Huntingford, C., and Jones, C. D.: Amazonian forest dieback under climate-carbon cycle projections for the 21st century, Theor. Appl. Climatol., 78, 137–156, 2004.
Cramer, W., Bondeau, A., Woodward, F. I., Prentice, I. C., Betts, R. A., Brovkin, V., Cox, P. M., Fisher, V., Foley, J. A., Friend, A. D., Kucharik, C., Lomas, M. R., Ramankutty, N., Sitch, S., Smith, B., White, A., and Young-Molling C.: Global response of terrestrial ecosystem structure and function to CO2 and climate change: results from six dynamic global vegetation models, Glob. Change. Biol., 7, 357–373, 2001.
Cramer, W., A. Bondeau, S. Schaphoff, W. Lucht, B. Smith, and S. Sitch, Tropical forests and the global carbon cycle: impacts of atmospheric carbon dioxide, climate change, and rate of deforestation, Phil. Trans. R. Soc. Lond. B, 359, 331–343, 2004.
DeLucia, E. H., Moore, D. J., and Norby, R. J.: Contrasting responses of forest ecosystems to rising atmospheric CO2: implications for the global C cycle, Global Biogeochem. Cy., 19, GB3006, https://doi.org/10.1029/2004GB002346, 2005.
Fairlie, T. D., Jacob, D. J., and Park, R. J.: The impact of transpacific transport of mineral dust in the United States, Atmos. Environ., 41, 1251–1266, 2007.
FAO: Global Forest Resources Assessment, Rome, http://www.fao.org/docrep/004/y1997e/y1997e00.HTM, last access: 13 February 2012, 2000.
Felzer, B., Kicklighter, D., Melillo, J., Wang, C., Zhuang, Q., and Prinn, R.: Effects of ozone on net primary production and carbon sequestration in the conterminous United States using a biogeochemistry model, Tellus B, 56, 230–248, https://doi.org/10.1111/j.1600-0889.2004.00097.x, 2004.
Fiore, A. M., Jacob, D. J., Field, B. D., Streets, D. G., Fernandes, S. D., and Jang, C.: Linking ozone pollution and climate change: The case for controlling methane, Geophys. Res. Lett., 29, 1919, https://doi.org/10.1029/2002GL015601, 2002a.
Fiore, A. M., Jacob, D. J., Bey, I., Yantosca, R. M., Field, B. D., Fusco, A. C., and Wilkinson, J. G.: Background ozone over the United States in summer: Origin, trend, and contribution to pollution episodes, J. Geophys. Res., 107, 4275, https://doi.org/10.1029/2001JD000982, 2002b.
Fiore, A. M., Jacob, D. J., Mathur, R., and Martin, R. V.: Application of empirical orthogonal functions to evaluate ozone simulations with regional and global models, J. Geophys. Res., 108, 4431, https://doi.org/10.1029/2002JD003151, 2003.
Fiore, A. M., Horowitz, L. W., Purves, D. W., Levy II, H., Evans, M. J., Wang, Y., Li, Q., and Yantosca, R. M.: Evaluating the contribution of changes in isoprene emissions to surface ozone trends over the eastern United States, J. Geophys. Res., 110, D12303, https://doi.org/10.1029/2004JD005485, 2005.
Flannigan, M. D. and Harrington, J. B.: A study of the relation of meteorological variables to monthly provincial area burned by wildfire in Canada (1953–80), J. Appl. Meteorol., 27, 441–452, 1988.
Ganzeveld, L. and Lelieveld, J.: Impact of Amazonian deforestation on atmospheric chemistry, Geophys. Res. Lett., 31, L06105, https://doi.org/10.1029/2003GL019205, 2004.
Ganzeveld, L., Bouwman, L., Stehfest, E., van Vuuren, D. P., Eickhout, B., and Lelieveld, J.: Impact of future land use and land cover changes on atmospheric chemistry-climate interactions, J. Geophys. Res., 115, D23301, https://doi.org/10.1029/2010JD014041, 2010.
Gao, W. and Wesely, M. L.: Modeling gaseous dry deposition over regional scales with satellite observations, 1. Model development, Atmos. Environ, 29, 727–737, 1995.
Giacopelli, P., Ford, K., Espada, C., and Shepson, P. B.: Comparison of the measured and simulated isoprene nitrate distributions above a forest canopy, J. Geophys. Res., 110, D01304, https://doi.org/10.1029/2004JD005123, 2005.
Guenther, A., Hewitt, C. N., Erickson, D., Fall, R., Geron, C., Graedel, T., Harley, P., Klinger, L., Lerdau, M., McKay, W., Pierce, T., Scholes, B., Steinbrecher, R., Tallamraju, R., Taylor, J., and Zimmerman, P.: A global model of natural volatile organic compound emissions, J. Geophys. Res., 100, 8873–8892, 1995.
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181–3210, https://doi.org/10.5194/acp-6-3181-2006, 2006.
Hauglustaine, D. A., Lathiére J., Szopa, S., and Folberth, G. A.: Future tropospheric ozone simulated with a climate-chemistry-biosphere model, Geophys. Res. Lett., 32, L24807, https://doi.org/10.1029/2005GL024031, 2005.
Heald, C. L., Henze, D. K., Horowitz, L. W., Feddema, J., Lamarque, J. F., Guenther, A., Hess, P. G., Vitt, F., Seinfeld, J. H., Goldstein, A. H., and Fung, I.: Predicted change in global secondary organic aerosol concentrations in response to future climate, emissions, and land use change, J. Geophys. Res., 113, D05211, https://doi.org/10.1029/2007JD009092, 2008.
Heald, C. L., Wilkinson, M. J., Monson, R. K., Alo, C. A., Wang, G., and Guenther, A.: Response of isoprene emission to ambient CO2 changes and implications for global budgets, Glob. Change Biol., 15, 4, 1127–1140, 2009.
Henze, D. K. and Seinfield, J. H.: Global secondary organic aerosol from isoprene oxidation, Geophys. Res. Lett., 33, L09812, https://doi.org/10.1029/2006GL025976, 2006.
Henze, D. K., Seinfeld, J. H., Ng, N. L., Kroll, J. H., Fu, T.-M., Jacob, D. J., and Heald, C. L.: Global modeling of secondary organic aerosol formation from aromatic hydrocarbons: high- vs. low-yield pathways, Atmos. Chem. Phys., 8, 2405–2420, https://doi.org/10.5194/acp-8-2405-2008, 2008.
Hogrefe, C., Lynn, B., Civerolo, K., Ku, J.-Y., Rosenthal, J., Rosenzweig, C., Goldberg, R., Gaffin, S., Knowlton, K., and Kinney, P. L.: Simulating changes in regional air pollution over the eastern United States due to changes in global and regional climate and emissions, J. Geophys. Res., 109, D22301, https://doi.org/10.1029/2004JD004690, 2004.
Houghton, R. A., Skole, D. L., Nobre, C. A., Hackler, J. L., Lawrence, K. T., and Chomentowski, W. H.: Annual fluxes of carbon from deforestation and regrowth in the Brazilian Amazon, Nature, 403, 301–304, 2000.
Houweling, S., Dentener, F., and Lelieveld, J.: The impact of nonmethane hydrocarbon compounds on tropospheric photochemistry, J. Geophys. Res., 103, 10673–10696, 1998.
Hudman, R. C., Jacob, D. J., Turquety, S., Leibensperger, E. M., Murray, L. T., Wu, S., Gilliland, A. B., Avery, M., Bertram, T. H., Brune, W., Cohen, R. C., Dibb, J. E., Flocke, F. M., Fried, A., Holloway, J. S., Neuman, J. A., Orville, R., Perring, A., Ren, X., Sachse, G. W., Singh, H. B., Swanson, A., and Wooldridge, P. J.: Surface and lightning sources of nitrogen oxides over the United States: magnitudes, chemical evolution, and outflow, J. Geophys. Res., 112, D12S05, https://doi.org/10.1029/2006JD007912, 2007.
IMAGE-Team: The IMAGE 2.2 implementation of the SRES scenarios: A comprehensive analysis of emissions, climate change and impacts in the 21st century, RIVM CD-ROM publication 481508018, Natl. Inst. for Public Health & the Environment, Bilthoven, 2001.
IPCC: Climate Change 2001: The Scientific Basis, contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Houghton, J. T., Ding, Y., Griggs, D. J., Noguer, M., van der, P. J. Linden, Dai, X., Maskell, K., and Johnson, C. A., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 881 pp., 2001.
IPCC: Climate Change 2007: The Physical Science Basis, contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by Solomon, S. S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge Univ. Press, Cambridge, United Kingdom and New York, NY, USA, 996 pp., 2007.
Jacob, D. J. and Winner, D. A.: Effect of climate change on air quality, Atmos. Environ., 43, 51–63, 2009.
Jiang, X., Wiedinmyer, C., Chen, F., Yang, Z.-L., and Lo, J. C.-F.: Predicted impacts of climate and land use change on surface ozone in the Houston, Texas, area, J. Geophys. Res., 113, D20312, https://doi.org/10.1029/2008JD009820, 2008.
Johnson, C. E., Collins, W. J., Stevenson, D. S., and Derwent, R. G.: The relative roles of climate and emissions changes on future oxidant concentrations, J. Geophys. Res., 104, 18631–18645, https://doi.org/10.1029/1999JD900204, 1999.
Kaplan, J. O., Prentice, I. C., Knorr, W., and Valdes, P. J.: Modeling the dynamics of terrestrial carbon storage since the Last Glacial Maximum, Geophys. Res. Lett., 29, 2074, https://doi.org/10.1029/2002GL015230, 2002.
Kaplan, J. O., Bigelow, N. H., Prentice, I. Colin, Harrison, Sandy P., Bartlein, Patrick J., Christensen, T. R., Cramer, W., Matveyeva, N. V., McGuire, A. D., Murray, D. F., Razzhivin, V. Y., Smith, B., Walker, Donald A., Anderson, P. M., Andreev, A. A., Brubaker, L. B., Edwards, M. E., and Lozhkin, A. V. Climate change and Arctic ecosystems: 2. Modeling, paleodata-model comparsons, and future projections, J. Geophys. Res., 108, 8171, https://doi.org/1029/2002/JD002559, 2003.
Kleidon, A. and Heimann, M.: Assessing the role of deep rooted vegetation in the climate system with model simulations: Mechanism, comparison to observations and implications for Amazonian deforestation, Climate Dyn., 16, 183–199, 1999.
Kroll, J. H., Ng, N. L., Murphy, S. M., Flagan, R. C., and Seinfeld, J. H.: Secondary organic aerosol formation from isoprene photooxidation, Environ. Sci. Technol., 40, 1869–1877, https://doi.org/10.1021/es0524301, 2006.
Lathière, J., Hauglustaine, D. A., Friend, A. D., De Noblet-Ducoudré, N., Viovy, N., and Folberth, G. A.: Impact of climate variability and land use changes on global biogenic volatile organic compound emissions, Atmos. Chem. Phys., 6, 2129–2146, http://dx.doi.org/10.5194/acp-6-2129-2006https://doi.org/10.5194/acp-6-2129-2006, 2006.
Lelieveld, J., Butler, T. M., Crowley, J. N., Dillon, T. J., Fischer, H., Ganzeveld, L., Harder, H., Lawrence, M. G., Martinez, M., Taraborrelli, D., and Williams, J.: Atmospheric oxidation capacity sustained by a tropical forest, Nature, 452, 737–740, 2008.
Levy, P. E., Cannell, M. G. R., and Friend, A. D.: Modelling the impact of future changes in climate, CO2 concentration and land use on natural ecosystems and the terrestrial carbon sink, Global Environ. Chang., 14, 21–30, 2004.
Liao, H., Seinfeld, J. H., Adams, P. J., an Mickleyd, L. J.: Global radiative forcing of coupled tropospheric ozone and aerosols in a unified general circulation model, J. Geophys. Res., 109, D16207, https://doi.org/10.1029/2003JD004456, 2004.
Liao, H., Henze, D. K., Seinfeld, J. H., Wu, S., and Mickley, L. J.: Biogenic secondary organic aerosol over the United States: Comparison of climatological simulations with observations, J. Geophys. Res., 112, D06201, https://doi.org/10.1029/2006JD007813, 2007.
Logan, J. A.: An analysis of ozonesonde data for the troposphere: Recommendations for testing 3-D models and development of a gridded climatology for tropospheric ozone, J. Geophys. Res., 104, 16115–16149, 1999.
McKenzie, D., Gedalof, Z., Peterson, D., and Mote, P.: Climatic change, wildfire, and conservation, Conserv. Biol., 18, 890– 902, 2004.
McLinden, C. A., Olsen, S. C., Hannegan, B., Wild, O., Prather, M. J., and Sundet, J.: Stratospheric ozone in 3-D models: A simple chemistry and the cross-tropopause flux, J. Geophys. Res., 105, 14653–14665, 2000.
Meszaros, R., Szinyei, D., Vincze, C., Lagzi, I., Turanyi, T., Haszpra, L., and Tomlin, A. S.: Effects of the soil wetness state on the stomatal ozone fluxes over Hungary, Int. J. Environ Pollut., 36, 180–194, https://doi.org/10.1504/IJEP.2009.021825, 2009.
MNP: Integrated modelling of global environmental change, an overview of IMAGE 2.4., edited by: Bouwman, A. F., Kram, T., and Klein Goldewijk, K., Netherlands Environmental Assessment Agency (MNP), Bilthoven, The Netherlands, 2006.
Nakicenovic, N. and Swart, R. (Eds.): Special Report on Emissions Scenarios, 570 pp., Cambridge Univ. Press, New York, USA, 2000.
Nowak, R. S., Ellsworth, D. S., and Smith, S. D.: Functional responses of plants to elevated atmospheric CO2 – do photosynthetic and productivity data from FACE experiments support early predictions?, New Phytol., 162, 253–280, 2004.
Olson, J. S.: World Ecosystems (WE1.4). Digital Raster Data on a 10-minute Cartesian Orthonormal Geodetic 1080 × 2160 grid, in: Global Ecosystems Database, Version 2.0. Boulder, CO: National Geophysical Data Center, 1992.
Park, R. J., Jacob, D. J., Field, B. D., Yantosca, R. M., and Chin, M.: Natural and transboundary pollution influences on sulfate-nitrateammonium aerosols in the United States: Implications for policy, J. Geophys. Res., 109, D15204, https://doi.org/10.1029/2003JD004473, 2004.
Park, R. J., Jacob, D. J., Kumar, N., and Yantosca, R. M.: Regional visibility statistics in the United States: Natural and transboundary pollution influences, and implications for the Regional Haze Rule, Atmos. Environ., 40, 5405–5423, 2006.
Paulot, F., Crounse, J. D., Kjaergaard, H. G., Kroll, J. H., Seinfeld, J. H., and Wennberg, P. O.: Isoprene photooxidation: new insights into the production of acids and organic nitrates, Atmos. Chem. Phys., 9, 1479–1501, https://doi.org/10.5194/acp-9-1479-2009, 2009.
Pickering, K. E., Wang, Y., Tao, W., Price, C., and Müller, J.: Vertical distributions of lightning NOx for use in regional and global chemical transport models, J. Geophys. Res., 103, 31203–31216, 1998.
Possell, M., Hewitt, C. N., and Beerling, D. J.: The effects of glacial atmospheric CO2 concentrations and climate on isoprene emissions by vascular plants, Global Change Biol., 11, 60–69, 2005.
Price, C. and Rind, D.: A simple lightning parameterization for calculating global lightning distributions, J. Geophys. Res., 97, 9919–9933, 1992.
Purves, D. W., Caspersen, J. P., Moorcorft, P. R., Hurtt, G. C., and Pacala, S. W.: Human-induced changes in U.S. biogenic volatile organic compound emissions: evidence from long-term forest inventory data, Glob. Change. Biol., 10, 1737–1755, 2004.
Pye, H. O. T., Liao, H., Wu, S., Mickley, L. J., Jacob, D. J., Henze, D. K., and Seinfeld, J. H.: Effect of changes in climate and emissions on future sulfate-nitrate-ammonium aerosol levels in the United States, J. Geophys. Res., 114, D01205, https://doi.org/10.1029/2008JD010701, 2009.
Racherla, P. N. and Adams, P. J.: Sensitivity of global tropospheric ozone and fine particulate matter concentrations to climate change, J. Geophys. Res., 111, D24103, https://doi.org/10.1029/2005JD006939, 2006.
Rind, D., Lerner, J., Jonas, J., and McLinden, C.: Effects of resolution and model physics on tracer transports in the NASA Goddard Institute for Space Studies general circulation models, J. Geophys. Res., 112, D09315, https://doi.org/10.1029/2006JD007476, 2007.
Sanderson, M. G., Jones, C. D., Collins, W. J., Johnson, C. E., and Derwent, R. G.: Effect of Climate Change on Isoprene Emissions and Surface Ozone Levels, Geophys. Res. Lett., 30, 1936, https://doi.org/10.1029/2003GL017642, 2003.
Sitch, S., Smith, B., Prentice, I. C., Arneth, A., Bondeau, A., Cramer, W., Kaplan, J. O., Levis, S., Lucht, W., Sykes, M. T., Thonicke, K., and Venevsky, S.: Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model, Glob. Change Biol., 9, 161–185, 2003.
Sitch, S., Cox, P. M., Collins, W. J., and Huntingford, C.: Indirect radiative forcing of climate change through ozone effects on the land-carbon sink, Nature, 448, 791–794, 2007.
Stavrakou, T., Peeters, J., and Müller, J.-F.: Improved global modelling of HO$_{\rm x}$ recycling in isoprene oxidation: evaluation against the GABRIEL and INTEX-A aircraft campaign measurements, Atmos. Chem. Phys., 10, 9863–9878, https://doi.org/10.5194/acp-10-9863-2010, 2010.
Stevenson, D. S., Johnson, C. E., Collins, W. J., Derwent, R. G., and Edwards, J. M.: Future tropospheric ozone radiative forcing and methane turnover: The impact of climate change, Geophys. Res. Lett., 27, 2073–2076, https://doi.org/10.1029/1999GL010887, 2000.
Stevenson, D. S., Dentener, F. J., Schultz, M. G., Ellingsen, K., van Noije, T. P. C., Wild, O., Zeng, G., Amann, M., Atherton, C. S., Bell, N., Bergmann, D. J., Bey, I., Butler, T., Cofala, J., Collins, W.J., Derwent, R.G., Doherty R.M., Drevet, J., Eskes, H. J., Fiore, A. M., Gauss, M., Hauglustaine, D. A., Horowitz, L. W., Isaksen, I. S. A., Krol, M. C., Lamarque, J.-F., Lawrence, M. G., Montanaro, V., Müller, J.-F., Pitari, G., Prather, M. J., Pyle, J. A., Rast, S., Rodriguez, J. M., Sanderson, M. G., Savage, N. H., Shindell, D. T., Strahan, S. E., Sudo, K., and Szopa, S.: Multimodel ensemble simulations of present-day and near-future tropospheric ozone, J. Geophys. Res., 111, D08301, https://doi.org/10.1029/2005JD006338, 2006.
Stocks, B., Fosberg, M. A., Lynham, T. J., Mearns, L., Wotton, B. M., Yang, Q., Jin, J. Z., Lawrence, K., Hartley, G. R., Mason, J. A., and McKenney, D. W.: Climate change and forest fire potential in Russian and Canadian boreal forests, Clim. Change, 38, 1–13, 1998.
Swetnam, T. W.: Fire history and climate change in giant sequoia groves, Science, 262, 885–889, 1993.
Tsigaridisa, K. and Kanakidou, M.: Secondary organic aerosol importance in the future atmosphere, Atmos. Environ., 41, 4682–4692, 2007.
Turner II., B. L., Meyer, W. B., and Skole, D. L.: Global land use/land cover change: towards an integrated study, Ambio, 23, 91–95, 1994.
Turner II, B. L., Skole, D., Sanderson, S., Fischer, G., Fresco, L., and Leemans, R.: Land-use and land-cover change science/research plan, no. 7, in: IHDP Report, 1995.
Wang, Y., Jacob, D. J., and Logan, J. A.: Global simulation of tropospheric O3-NOx-hydrocarbon chemistry: 1. Model formulation, J. Geophys. Res., 103, 10713–10725, 1998.
Wang, Y., Jacob, D. J., and Logan, J. A.: Global simulation of tropospheric O3-NOx-hydrocarbon chemistry: 1. Model formulation, J. Geophys. Res., 103, 10713–10725, 1998.
Wesely, M. L. and Hicks, B. B.: Some factors that affect the deposition rates of sulfur dioxide and similar gases on vegetation, J. Air. Pollut. Control Assoc., 27, 1110–1116, 1977.
Wesely, M. L.: Parameterization of surface resistance to gaseous dry deposition in regional-scale numerical models, Atmos. Environ., 23, 1293–1304, 1989.
Wu, S., Mickley, L. J., Jacob, D. J., Logan, J. A., Yantosca, R. M., and Rind, D.: Why are there large differences between models in global budgets of tropospheric ozone?, J. Geophys. Res., 112, D05302, https://doi.org/10.1029/2006JD007801, 2007.
Wu, S., Mickley, L. J., Leibensperger, E. M., Jacob, D. J., Rind, D., and Streets, D. G.: Effects of 2000–2050 global change on ozone air quality in the United States, J. Geophys. Res., 113, D06302, https://doi.org/10.1029/2007JD008917, 2008a.
Wu, S., Mickley, L. J., Jacob, D. J., Rind, D., and Streets, D. G.: Effects of 2000–2050 changes in climate and emissions on global tropospheric ozone and the policy-relevant background surface ozone in the United States, J. Geophys. Res., 113, D18312, https://doi.org/10.1029/2007JD009639, 2008b.
Yienger, J. J. and Levy, H.: Empirical model of global soil-biogenic NO$_{\rm x}$ emissions, J. Geophys. Res., 100, 11447–11464, 1995.
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