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.(submitted), doi:10.1029/2020JD032619.
Gettelman, A., et al. (2019), and Regional Climate 1 1 1 1, J. Adv. Modeling Earth Syst., doi:10.1029/2018MS001488.
Gettelman, A., et al. (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., et al. (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.

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

Co-Authored Publications

Jo, D.S., 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.A., 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, ., 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.H., 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.G., 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.D., et al. (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.H., 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.N., 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.

National Aeronautics and Space Administration

National Aeronautics and
Space Administration