The GFDL Global Atmospheric Chemistry‐Climate Model AM4.1: Model Description and Simulation Characteristics
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S. Malyshev | L. Horowitz | J. Dunne | Ming Zhao | E. Shevliakova | J. John | V. Naik | P. Ginoux | J. Schnell | F. Paulot | D. Paynter | Jian He | J. Mao | Meiyun Lin | Xi Chen | P. Lin | M. Lin
[1] S. Malyshev,et al. The GFDL Earth System Model Version 4.1 (GFDL‐ESM 4.1): Overall Coupled Model Description and Simulation Characteristics , 2020, Journal of Advances in Modeling Earth Systems.
[2] L. Lee,et al. Global sensitivity analysis of chemistry–climate model budgets of tropospheric ozone and OH: exploring model diversity , 2020 .
[3] Shian-Jiann Lin,et al. Structure and Performance of GFDL's CM4.0 Climate Model , 2019, Journal of Advances in Modeling Earth Systems.
[4] S. Malyshev,et al. Sensitivity of Ozone Dry Deposition to Ecosystem‐Atmosphere Interactions: A Critical Appraisal of Observations and Simulations , 2019, Global Biogeochemical Cycles.
[5] E. Marais,et al. An evaluation of global organic aerosol schemes using airborne observations , 2019, Atmospheric Chemistry and Physics.
[6] D. Jacob,et al. A new model mechanism for atmospheric oxidation of isoprene: global effects on oxidants, nitrogen oxides, organic products, and secondary organic aerosol , 2019, Atmospheric Chemistry and Physics.
[7] H. Worden,et al. Radiance-based retrieval bias mitigation for the MOPITT instrument: the version 8 product , 2019, Atmospheric Measurement Techniques.
[8] S. Malyshev,et al. The GFDL Earth System Model version 4 . 1 ( GFDL-ESM 4 . 1 ) : Model 1 description and simulation characteristics 2 3 , 2019 .
[9] L. Oman,et al. Trends in global tropospheric ozone inferred from a composite record of TOMS/OMI/MLS/OMPS satellite measurements and the MERRA-2 GMI simulation , 2018, Atmospheric Chemistry and Physics.
[10] S. Malyshev,et al. 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 , 2018, Atmospheric Chemistry and Physics.
[11] L. Horowitz,et al. Exploring the relationship between surface PM2.5 and meteorology in Northern India , 2018, Atmospheric Chemistry and Physics.
[12] J. R. Wilson,et al. The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 1. Simulation Characteristics With Prescribed SSTs , 2018 .
[13] J. R. Wilson,et al. The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies , 2018 .
[14] Jessica L. Neu,et al. Tropospheric Ozone Assessment Report:Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends , 2018 .
[15] Johannes W. Kaiser,et al. Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750-2015) , 2017 .
[16] Paul Ginoux,et al. Gas‐aerosol partitioning of ammonia in biomass burning plumes: Implications for the interpretation of spaceborne observations of ammonia and the radiative forcing of ammonium nitrate , 2017 .
[17] Paul Charbonneau,et al. Solar Forcing for CMIP6 (v3.1) , 2016 .
[18] Meng Li,et al. Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS) , 2017 .
[19] Nick Reid,et al. Tropospheric Ozone Assessment Report: Database and Metrics Data of Global Surface Ozone Observations , 2017 .
[20] A. Arneth,et al. Historic global biomass burning emissions based on merging satellite observations with proxies and fire models (1750 - 2015) , 2017 .
[21] L. Horowitz,et al. Contrasting seasonal responses of sulfate aerosols to declining SO2 emissions in the Eastern U.S.: Implications for the efficacy of SO2 emission controls , 2017 .
[22] L. Horowitz,et al. US surface ozone trends and extremes from 1980 to 2014: quantifying the roles of rising Asian emissions, domestic controls, wildfires, and climate , 2016 .
[23] Stefan Reimann,et al. Historical greenhouse gas concentrations for climate modelling (CMIP6) , 2016 .
[24] Climate‐vegetation interaction and amplification of Australian dust variability , 2016 .
[25] D. Jacob,et al. Why do Models Overestimate Surface Ozone in the Southeastern United States? , 2016, Atmospheric chemistry and physics.
[26] Robert Pincus,et al. The Radiative Forcing Model Intercomparison Project (RFMIP): Experimental Protocol for CMIP6 , 2016 .
[27] L. Horowitz,et al. Observational constraints on glyoxal production from isoprene oxidation and its contribution to organic aerosol over the Southeast United States , 2015, Journal of geophysical research. Atmospheres : JGR.
[28] L. Horowitz,et al. Sensitivity of nitrate aerosols to ammonia emissions and to nitrate chemistry: implications for present and future nitrate optical depth , 2015 .
[29] S. Doney,et al. Global oceanic emission of ammonia: Constraints from seawater and atmospheric observations , 2015 .
[30] L. Horowitz,et al. Projecting policy‐relevant metrics for high summertime ozone pollution events over the eastern United States due to climate and emission changes during the 21st century , 2015 .
[31] Joseph P. Pinto,et al. Estimating North American background ozone in U.S. surface air with two independent global models: Variability, uncertainties, and recommendations , 2014 .
[32] Kebin He,et al. Heterogeneous chemistry: a mechanism missing in current models to explain secondary inorganic aerosol formation during the January 2013 haze episode in North China , 2014 .
[33] Richard J. Blakeslee,et al. Gridded lightning climatology from TRMM-LIS and OTD: Dataset description , 2014 .
[34] L. Horowitz,et al. Ozone and organic nitrates over the eastern United States: Sensitivity to isoprene chemistry , 2013 .
[35] Daniel J. Jacob,et al. Interannual variability in tropical tropospheric ozone and OH: The role of lightning , 2013 .
[36] L. Horowitz,et al. Impact of preindustrial to present‐day changes in short‐lived pollutant emissions on atmospheric composition and climate forcing , 2013 .
[37] L. Horowitz,et al. Stratospheric Ozone and Temperature Simulated from the Preindustrial Era to the Present Day , 2013 .
[38] Jean-Christophe Golaz,et al. The roles of aerosol direct and indirect effects in past and future climate change , 2013 .
[39] L. Horowitz,et al. Sensitivity of tropospheric oxidants to biomass burning emissions: implications for radiative forcing , 2013 .
[40] Amy H. Butler,et al. On the lack of stratospheric dynamical variability in low‐top versions of the CMIP5 models , 2013 .
[41] J. Lamarque,et al. Preindustrial to present-day changes in tropospheric hydroxyl radical and methane lifetime from the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) , 2012 .
[42] L. Horowitz,et al. Springtime high surface ozone events over the western United States: Quantifying the role of stratospheric intrusions , 2012 .
[43] L. Horowitz,et al. Transport of Asian ozone pollution into surface air over the western United States in spring , 2012 .
[44] L. Emmons,et al. The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions , 2012 .
[45] S. Fan,et al. Radical loss in the atmosphere from Cu-Fe redox coupling in aerosols , 2012 .
[46] J. Lamarque,et al. Pre-industrial to end 21st century projections of tropospheric ozone from the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) , 2012 .
[47] S. Wanless,et al. The global distribution of ammonia emissions from seabird colonies , 2012 .
[48] Michael J. Prather,et al. Reactive greenhouse gas scenarios: Systematic exploration of uncertainties and the role of atmospheric chemistry , 2012 .
[49] A. J. Kettle,et al. An updated climatology of surface dimethlysulfide concentrations and emission fluxes in the global ocean , 2011 .
[50] L. Horowitz,et al. Evaluation of factors controlling long‐range transport of black carbon to the Arctic , 2010 .
[51] Becky Alexander,et al. Global distribution of sea salt aerosols: new constraints from in situ and remote sensing observations , 2010 .
[52] R. Derwent,et al. Impacts of mechanistic changes on HO x formation and recycling in the oxidation of isoprene , 2010 .
[53] Ramaswamy,et al. The dynamical core, physical parameterizations, and basic simulation characteristics of the atmospheric component AM3 of the GFDL global coupled model CM3 , 2011 .
[54] Lorraine Remer,et al. MISR Aerosol Product Attributes and Statistical Comparisons With MODIS , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[55] J. Lamarque,et al. Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4) , 2009 .
[56] G. Carmichael,et al. Asian emissions in 2006 for the NASA INTEX-B mission , 2009 .
[57] William J. Collins,et al. Multimodel estimates of intercontinental source-receptor relationships for ozone pollution , 2008 .
[58] A. Nenes,et al. ISORROPIA II: a computationally efficient thermodynamic equilibrium model for K + –Ca 2+ –Mg 2+ –NH 4 + –Na + –SO 4 2− –NO 3 − –Cl − –H 2 O aerosols , 2007 .
[59] E. Vermote,et al. Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance , 2007 .
[60] L. Polvani,et al. A New Look at Stratospheric Sudden Warmings. Part I: Climatology and Modeling Benchmarks , 2007 .
[61] L. Polvani,et al. A New Look at Stratospheric Sudden Warmings. Part II: Evaluation of Numerical Model Simulations , 2007 .
[62] Tami C. Bond,et al. Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom , 2006 .
[63] P. Palmer,et al. Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature) , 2006 .
[64] H. Eskes,et al. Indicators of Antarctic ozone depletion , 2005 .
[65] Martin Gallagher,et al. Measurements and parameterizations of small aerosol deposition velocities to grassland, arable crops, and forest: Influence of surface roughness length on deposition , 2002 .
[66] Teruyuki Nakajima,et al. Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and sun photometer measurements , 2002 .
[67] J. Lamarque,et al. A global simulation of tropospheric ozone and related tracers: Description and evaluation of MOZART, version 2 , 2001 .
[68] Alexander Smirnov,et al. Cloud-Screening and Quality Control Algorithms for the AERONET Database , 2000 .
[69] Michael B. McElroy,et al. Three-dimensional climatological distribution of tropospheric OH: Update and evaluation , 2000 .
[70] T. Dunkerton,et al. A spectral parameterization of mean-flow forcing due to breaking gravity waves , 1999 .
[71] Colin Price,et al. Vertical distributions of lightning NOx for use in regional and global chemical transport models , 1998 .
[72] A. Smirnov,et al. AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .
[73] J. Penner,et al. NOx from lightning 1. Global distribution based on lightning physics , 1997 .
[74] J. Hansen,et al. Climate-chemical interactions and effects of changing atmospheric trace gases , 1987 .
[75] D. E. Spiel,et al. A Model of Marine Aerosol Generation Via Whitecaps and Wave Disruption , 1986 .
[76] Richard M. Williams. A model for the dry deposition of particles to natural water surfaces , 1982 .
[77] Joseph M. Prospero,et al. Aerosol concentration statistics for the Northern Tropical Atlantic , 1977 .