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IMPACTS

Andrew Gettelman

Organization:

National Center for Atmospheric Research

Email:

Contact person by email

Business Address:

1850 Table Mesa Dr

Boulder, CO 80305

United States

First Author Publications:

Gettelman, A., et al. (2022), The Authors, some The future of Earth system prediction: Advances rights reserved; exclusive licensee in model-data fusion American Association for the Advancement of Science. No claim to, Science Advances , Review, 8, 2022.
Gettelman, A. (2020), Simulating Observations of Southern Ocean Clouds and Implications for Climate, J. Geophys. Res., doi:10.1029/2020JD032619 (submitted).
Gettelman, A., et al. (2019), and Regional Climate 1 1 1 1, J. Adv. Modeling Earth Syst., doi:10.1029/2018MS001488.
Gettelman, A., J. E. Kay, and J. T. Fasullo (2013), Spatial Decomposition of Climate Feedbacks in the Community Earth System Model, J. Climate, 26, 3544-3561, doi:10.1175/JCLI-D-12-00497.1.
Gettelman, A., et al. (2012), A community diagnostic tool for chemistry climate model validation, Geosci. Model Dev., 5, 1061-1073, doi:10.5194/gmd-5-1061-2012.
Gettelman, A., et al. (2012), Climate impacts of ice nucleation, J. Geophys. Res., 117, D20201, doi:10.1029/2012JD017950.
Gettelman, A., et al. (2010), Global simulations of ice nucleation and ice supersaturation with an improved cloud scheme in the Community Atmosphere Model, J. Geophys. Res., 115, D18216, doi:10.1029/2009JD013797.
Gettelman, A., H. Morrison, and S. Ghan (2008), A New Two-Moment Bulk Stratiform Cloud Microphysics Scheme in the Community Atmosphere Model, Version 3 (CAM3). Part II: Single-Column and Global Results, J. Climate, 21, 3660-3679, doi:10.1175/2008JCLI2116.1.
Gettelman, A., and Q. Fu (2008), Observed and Simulated Upper-Tropospheric Water Vapor Feedback, J. Climate, 21, 3282-3289, doi:10.1175/2007JCLI2142.1.
Gettelman, A., et al. (2006), Relative humidity over Antarctica from radiosondes, satellites, and a general circulation model, J. Geophys. Res., 111, D09S13, doi:10.1029/2005JD006636.
Gettelman, A., et al. (2006), Climatology of Upper-Tropospheric Relative Humidity from the Atmospheric Infrared Sounder and Implications for Climate, J. Climate, 19, 6104-6121.
Gettelman, A., et al. (2006), The Global Distribution of Supersaturation in the Upper Troposphere from the Atmospheric Infrared Sounder, J. Climate, 19, 6089-6103.
Gettelman, A., et al. (2004), Impact of monsoon circulations on the upper troposphere and lower stratosphere, J. Geophys. Res., 109, D22101, doi:10.1029/2004JD004878.

Co-Authored Publications:

Jo, D., et al. (2023), Global Health and Climate Effects of Organic Aerosols from Different Sources, Environ. Sci. Technol., 57, 13793-13807, doi:10.1021/acs.est.3c02823.
Kahn, R., et al. (2023), Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within-The-Atmosphere Observations: A Three-Way Street, Rev. Geophys., 61, e2022RG000796, doi:10.1029/2022RG000796.
Christensen, M. W., et al. (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022.
Christensen, M. W., et al. (2022), Opportunistic experiments to constrain aerosol effective radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-641-2022.
Fung, K. M., et al. (2022), Exploring dimethyl sulfide (DMS) oxidation and implications for global aerosol radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-1549-2022.
Gryspeerdt, E., et al. (2020), Surprising similarities in model and observational aerosol radiative forcing estimates, Atmos. Chem. Phys., 20, 613-623, doi:10.5194/acp-20-613-2020.
Naud, C. M., et al. (2020), Evaluation of Modeled Precipitation in Oceanic Extratropical Cyclones Using IMERG, J. Climate, 33, 95-113, doi:10.1175/JCLI-D-19-0369.1.
Tilmes, S., et al. (2019), Climate Forcing and Trends of Organic Aerosols in the Community Earth System Model (CESM2), J. Adv. Modeling Earth Syst., 11, 4323-4351, doi:10.1029/2019MS001827.
Brasseur, G. P., et al. (2017), Impact of Aviation: FAA's Aviation Climate Change Research Initiative (ACCRI) Phase II, Bull. Am. Meteorol. Soc., 98, 561-583, doi:10.1175/BAMS-D-13-00089.1.
Cameron, M. A., et al. (2017), An intercomparative study of the effects of aircraft emissions on surface air quality, J. Geophys. Res., 122, 8325-8344, doi:10.1002/2016JD025594.
Ghan, S., et al. (2016), Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability, Proc. Natl. Acad. Sci., 113, 5804-5811, doi:10.1073/pnas.1514036113.
Jiang, J., et al. (2015), "Evaluating the diurnal cycle of upper tropospheric ice clouds in climate models using SMILES observations,&quot, J. Atmos. Sci., 72, 1022-1044, doi:10.1175/JAS-D-14-0124.1.
English, J. M., et al. (2014), Contributions of Clouds, Surface Albedos, and Mixed-Phase Ice Nucleation Schemes to Arctic Radiation Biases in CAM5, J. Climate, 27, 5174-5197, doi:10.1175/JCLI-D-13-00608.1.
Johnston, M. S., et al. (2014), Diagnosing the average spatio-temporal impact of convective systems – Part 2: A model intercomparison using satellite data, Atmos. Chem. Phys., 14, 8701-8721, doi:10.5194/acp-14-8701-2014.
Model, S., et al. (2014), Development of two-moment cloud microphysics for liquid and ice within the NASA Goddard Earth Observing, Geosci. Model Dev., 7, 1733-1766, doi:10.5194/gmd-7-1733-2014.
Bardeen, C., et al. (2013), Improved cirrus simulations in a general circulation model using CARMA sectional microphysics, J. Geophys. Res., 118, 11679-11697, doi:10.1002/2013JD020193.
Bogenschutz, P. A., et al. (2013), Higher-Order Turbulence Closure and Its Impact on Climate Simulations in the Community Atmosphere Model, J. Climate, 26, 9655-9676, doi:10.1175/JCLI-D-13-00075.1.
Lebsock, M., H. Morrison, and A. Gettelman (2013), Microphysical implications of cloud-precipitation covariance derived from satellite remote sensing, J. Geophys. Res., 118, 6521-6533, doi:10.1002/jgrd.50347.
Su, H., et al. (2013), Diagnosis of regime-dependent cloud simulation errors in CMIP5 models using “A-Train” satellite observations and reanalysis data, J. Geophys. Res., 118, 2762-2780, doi:10.1029/2012JD018575.
Jiang, J., et al. (2012), Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA “A-Train” satellite observations, J. Geophys. Res., 117, D14105, doi:10.1029/2011JD017237.
Kay, J. E., et al. (2012), Exposing Global Cloud Biases in the Community Atmosphere Model (CAM) Using Satellite Observations and Their Corresponding Instrument Simulators, J. Climate, 25, 5190-5207, doi:10.1175/JCLI-D-11-00469.1.
Liu, X., et al. (2012), Sensitivity studies of dust ice nuclei effect on cirrus clouds with the Community Atmosphere Model CAM5, Atmos. Chem. Phys., 12, 12061-12079, doi:10.5194/acp-12-12061-2012.
Kahn, B., et al. (2011), Temperature and Water Vapor Variance Scaling in Global Models: Comparisons to Satellite and Aircraft Data, J. Atmos. Sci., 68, 2156-2168, doi:10.1175/2011JAS3737.1.
Liang, C. K., et al. (2011), Record of tropical interannual variability of temperature and water vapor from a combined AIRS‐MLS data set, J. Geophys. Res., 116, D06103, doi:10.1029/2010JD014841.
Strahan, S., et al. (2011), Using transport diagnostics to understand chemistry climate model ozone simulations, J. Geophys. Res., 116, D17302, doi:10.1029/2010JD015360.
Su, H., et al. (2011), Comparison of regime‐sorted tropical cloud profiles observed by CloudSat with GEOS5 analyses and two general circulation model simulations, J. Geophys. Res., 116, D09104, doi:10.1029/2010JD014971.
Kahn, B., et al. (2009), Cloudy and clear-sky relative humidity in the upper troposphere observed by the A-train, J. Geophys. Res., 114, D00H02, doi:10.1029/2009JD011738.
Kay, J. E., and A. Gettelman (2009), Cloud influence on and response to seasonal Arctic sea ice loss, J. Geophys. Res., 114, D18204, doi:10.1029/2009JD011773.
Merkel, A. W., et al. (2009), On the relationship of polar mesospheric cloud ice water content, particle radius and mesospheric temperature and its use in multi-dimensional models, Atmos. Chem. Phys., 9, 8889-8901.
Kay, J. E., et al. (2008), The contribution of cloud and radiation anomalies to the 2007 Arctic sea ice extent minimum, Geophys. Res. Lett., 35, L08503, doi:10.1029/2008GL033451.
Stephens, G., et al. (2008), CloudSat mission: Performance and early science after the first year of operation, J. Geophys. Res., 113, D00A18, doi:10.1029/2008JD009982.
Park, M., et al. (2007), Transport above the Asian summer monsoon anticyclone inferred from Aura Microwave Limb Sounder tracers, J. Geophys. Res., 112, D16309, doi:10.1029/2006JD008294.

Note: Only publications that have been uploaded to the ESD Publications database are listed here.