Anthony Del Genio

Organization

NASA Goddard Institute for Space Studies

Email

Contact person by email

Business Phone

Work

:

(212) 678-5588

Business Address

NASA Goddard Institute for Space Studies
2880 Broadway
New York, NY 10025
United States

Website

GISS Personnel Directory: Dr. Anthony D. Del Genio

First Author Publications

Del Genio, A.D., and Y. Chen (2015), Cloud-radiative driving of the Madden-Julian oscillation as seen by the A-Train, J. Geophys. Res., 120, 5344-5356, doi:10.1002/2015JD023278.
Del Genio, A.D., et al. (2015), Constraints on Cumulus Parameterization from Simulations of Observed MJO Events, J. Climate, 28, 6419-6442, doi:10.1175/JCLI-D-14-00832.1.
Del Genio, A.D. (2012), Representing the Sensitivity of Convective Cloud Systems to Tropospheric Humidity in General Circulation Models, Surv. Geophys., 33, 637-656, doi:10.1007/s10712-011-9148-9.
Del Genio, A.D., et al. (2012), The MJO Transition from Shallow to Deep Convection in CloudSat/CALIPSO Data and GISS GCM Simulations, J. Climate, 25, 3755-3770, doi:10.1175/JCLI-D-11-00384.1.
Del Genio, A.D., et al. (2012), Characteristics of Mesoscale Organization in WRF Simulations of Convection during TWP-ICE, J. Climate, 25, 5666-5688, doi:10.1175/JCLI-D-11-00422.1.
Del Genio, A.D., and J. Wu (2010), The Role of Entrainment in the Diurnal Cycle of Continental Convection, J. Climate, 23, 2722-2738, doi:10.1175/2009JCLI3340.1.
Del Genio, A.D., et al. (2007), Will moist convection be stronger in a warmer climate?, Geophys. Res. Lett., 34, L16703, doi:10.1029/2007GL030525.
Del Genio, A.D., et al. (2005), Cumulus Microphysics and Climate Sensitivity, J. Climate, 18, 2376-2387.
Del Genio, A.D., et al. (2005), Evaluation of regional cloud feedbacks using single-column models, J. Geophys. Res., 110, D15S13, doi:10.1029/2004JD005011.

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

Co-Authored Publications

Kelley, M., et al. (2021), GISS‐E2.1: Configurations and Climatology, J. Adv. Modeling Earth Syst..
Miller, R., et al. (2021), CMIP6 Historical Simulations (1850–2014) With GISS-E2.1, J. Adv. Modeling Earth Syst., ) with GISS-E2.1. Jo, 1850-2014.
Cheng, Y., et al. (2020), A Second-Order Closure Turbulence Model: New Heat Flux Equations and No Critical Richardson Number, J. Atmos. Sci., 77, 2743-2759, doi:10.1175/JAS-D-19-0240.1.
Cesana, G., et al. (2019), Evaluating models’ response of tropical low clouds to SST forcings using CALIPSO observations, Atmos. Chem. Phys., 19, 2813-2832, doi:10.5194/acp-19-2813-2019.
Adames, A.F., et al. (2017), Changes in the structure and propagation of the MJO with increasing CO2 , J. Adv. Modeling Earth Syst., 9, doi:10.1002/2017MS000913.
Adames, A.F., et al. (2017), Characterization of Moist Processes Associated With Changes in the Propagation of the MJO With Increasing CO2 , J. Adv. Modeling Earth Syst., 9, 2946-2967, doi:10.1002/2017MS001040.
Elsaesser, G., et al. (2017), An improved convective ice parameterization for the NASA GISS Global Climate Model and impacts on cloud ice simulation, J. Clim., 30, 317-336, doi:10.1175/JCLI-D-16-0346.1.
Nazarenko, L., et al. (2017), Interactive nature of climate change and aerosol forcing, J. Geophys. Res., 122, 3457-3480, doi:10.1002/2016JD025809.
Camargo, S., et al. (2016), Tropical cyclones in the GISS ModelE2, Tellus, 68, 31494, doi:10.3402/tellusa.v68.31494.
Jensen, M., et al. (2016), The Midlatitude Continental Convective Clouds Experiment (Mc3E), Bull. Am. Meteorol. Soc., 1667-1686, doi:10.1175/BAMS-D-14-00228.1.
Naud, C.M., et al. (2016), The Relationship between Boundary Layer Stability and Cloud Cover in the Post-Cold-Frontal Region, J. Climate, 29, 8129-8149, doi:10.1175/JCLI-D-15-0700.1.
Wong, S., et al. (2016), Responses of Tropical Ocean Clouds and Precipitation to the Large-Scale Circulation: Atmospheric-Water-Budget-Related Phase Space and Dynamical Regimes, J. Climate, 29, 7127-7143, doi:10.1175/JCLI-D-15-0712.1.
Field, R., et al. (2015), Sensitivity of simulated tropospheric CO to subgrid physics parameterization: A case study of Indonesian biomass burning emissions in 2006, J. Geophys. Res., 120, doi:10.1002/2015JD023402.
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.
Kim, ., et al. (2015), Role of Longwave Cloud–Radiation Feedback in the Simulation of the Madden–Julian Oscillation, J. Climate, 28, 6979-6994, doi:10.1175/JCLI-D-14-00767.1.
Nazarenko, L., et al. (2015), Future climate change under RCP emission scenarios with GISS ModelE2, J. Adv. Modeling Earth Syst., 7, 244-267, doi:10.1002/2014MS000403.
Stanfield, R.E., et al. (2015), Assessment of NASA GISS CMIP5 and Post-CMIP5 Simulated Clouds and TOA Radiation Budgets Using Satellite Observations. Part II: TOA Radiation Budget and CREs, J. Climate, 28, 1842-1864, doi:10.1175/JCLI-D-14-00249.1.
Naud, C.M., et al. (2014), Evaluation of ERA-Interim and MERRA Cloudiness in the Southern Ocean, J. Climate, 27, 2109-2124, doi:10.1175/JCLI-D-13-00432.1.
Naud, C.M., et al. (2014), Evaluation of ERA-Interim and MERRA Cloudiness in the Southern Ocean, J. Climate, 27, 2109-2124, doi:10.1175/JCLI-D-13-00432.1.
Schmidt, G., et al. (2014), Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive, J. Adv. Modeling Earth Syst., 6, 141-184, doi:10.1002/2013MS000265.
Stanfield, R.E., et al. (2014), Assessment of NASA GISS CMIP5 and Post-CMIP5 Simulated Clouds and TOA Radiation Budgets Using Satellite Observations. Part I: Cloud Fraction and Properties, J. Climate, 27, 4189-4208, doi:10.1175/JCLI-D-13-00558.1.
Booth, J.F., et al. (2013), Diagnosing Warm Frontal Cloud Formation in a GCM: A Novel Approach Using Conditional Subsetting, J. Climate, 26, 5827-5845, doi:10.1175/JCLI-D-12-00637.1.
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.
Kim, D., et al. (2012), The Tropical Subseasonal Variability Simulated in the NASA GISS General Circulation Model, J. Climate, 25, 4641-4659, doi:10.1175/JCLI-D-11-00447.1.
Mrowiec, A., et al. (2012), Analysis of cloud-resolving simulations of a tropical mesoscale convective system observed during TWP-ICE: Vertical fluxes and draft properties in convective and stratiform regions, J. Geophys. Res., 117, D19201, doi:10.1029/2012JD017759.
Koch, D., et al. (2011), Coupled Aerosol-Chemistry–Climate Twentieth-Century Transient Model Investigation: Trends in Short-Lived Species and Climate Responses, J. Climate, 24, 2693-2714, doi:10.1175/2011JCLI3582.1.
Stramler, K., et al. (2011), Synoptically Driven Arctic Winter States, J. Climate, 24, 1747-1762, doi:10.1175/2010JCLI3817.1.
Kennedy, A., et al. (2010), Evaluation of the NASA GISS Single-Column Model Simulated Clouds Using Combined Surface and Satellite Observations, J. Climate, 23, 5175-5192, doi:10.1175/2010JCLI3353.1.
Koch, D., and A.D. Del Genio (2010), Black carbon semi-direct effects on cloud cover: review and synthesis, Atmos. Chem. Phys., 10, 7685-7696, doi:10.5194/acp-10-7685-2010.
Naud, C.M., et al. (2010), Cloud Vertical Distribution across Warm and Cold Fronts in CloudSat–CALIPSO Data and a General Circulation Model, J. Climate, 23, 3397-3415, doi:10.1175/2010JCLI3282.1.
Chen, Y., and A.D. Del Genio (2009), Evaluation of tropical cloud regimes in observations and a general circulation model, Clim. Dyn., 32, 355-369, doi:10.1007/s00382-008-0386-6.
Klein, S.A., et al. (2009), Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. Part I: Single-layer cloud, Q. J. R. Meteorol. Soc., 135, 979-1002, doi:10.1002/qj.416.
Koch, D., et al. (2009), Distinguishing Aerosol Impacts on Climate over the Past Century, J. Climate, 22, 2659-2677, doi:10.1175/2008JCLI2573.1.
Waliser, D.E., et al. (2009), Cloud ice: A climate model challenge with signs and expectations of progress, J. Geophys. Res., 114, D00A21, doi:10.1029/2008JD010015.
Wu, J., et al. (2009), WRF and GISS SCM simulations of convective updraft properties during TWP-ICE, J. Geophys. Res., 114, D04206, doi:10.1029/2008JD010851.
Chen, J., et al. (2008), The Spatiotemporal Structure of Twentieth-Century Climate Variations in Observations and Reanalyses. Part I: Long-Term Trend, J. Climate, 21, 2611-2633, doi:10.1175/2007JCLI2011.1.
Chen, J., et al. (2008), The Spatiotemporal Structure of Twentieth-Century Climate Variations in Observations and Reanalyses. Part II: Pacific Pan-Decadal Variability, J. Climate, 21, 2634-2650, doi:10.1175/2007JCLI2012.1.
Menon, S., et al. (2008), Analyzing signatures of aerosol-cloud interactions from satellite retrievals and the GISS GCM to constrain the aerosol indirect effect, J. Geophys. Res., 113, D14S22, doi:10.1029/2007JD009442.
Chen, Y., et al. (2007), The Tropical Atmospheric El Niño Signal in Satellite Precipitation Data and a Global Climate Model, J. Climate, 20, 3580-3601, doi:10.1175/JCLI4208.1.
Futyan, J.M., and A.D. Del Genio (2007), Relationships between lightning and properties of convective cloud clusters, Geophys. Res. Lett., 34, L15705, doi:10.1029/2007GL030227.
Futyan, J.M., and A.D. Del Genio (2007), Deep Convective System Evolution over Africa and the Tropical Atlantic, J. Climate, 20, 5041, doi:10.1175/JCLI4297.1.
Hansen, J., et al. (2007), Climate simulations for 1880-2003 with GISS modelE, Clim. Dyn., 29, 661-696, doi:10.1007/s00382-007-0255-8.
Hansen, J., et al. (2007), Dangerous human-made interference with climate: a GISS modelE study, Atmos. Chem. Phys., 7, 2287-2312, doi:10.5194/acp-7-2287-2007.
Menon, S., and A.D. Del Genio (2007), Evaluating the Impacts of Carbonaceous Aerosols on Clouds and Climate. In Human-Induced Climate Change: An Interdisciplinary Assessment. M.E. Schlesinger, H. Kheshgi, J.B. Smith, F.C. de la Chesnaye, J.M. Reilly, T. Wilson, and C. Kolstad, Eds. Cambridge University Press, 3, 34-48.
Shindell, D., et al. (2007), Climate simulations for 1880–2003 with GISS modelE, Clim. Dyn., 29, 661-696, doi:10.1007/s00382-007-0255-8.
Bauer, M., and A.D. Del Genio (2006), Composite Analysis of Winter Cyclones in a GCM: Influence on Climatological Humidity, J. Climate, 19, 1652-1672.
Naud, C.M., et al. (2006), Observational Constraints on the Cloud Thermodynamic Phase in Midlatitude Storms, J. Climate, 19, 5273-5288.
Schmidt, G., et al. (2006), Present-Day Atmospheric Simulations Using GISS ModelE: Comparison to In Situ, Satellite, and Reanalysis Data, J. Climate, 19, 153-192.
Hansen, J., et al. (2005), Efficacy of climate forcings, J. Geophys. Res., 110, D18104, doi:10.1029/2005JD005776.
Zhang, ., et al. (2005), Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements, J. Geophys. Res., 110, D15S02, doi:10.1029/2004JD005021.
Jensen, M., and A.D. Del Genio (2003), Radiative and Microphysical Characteristics of Deep Convective Systems in the Tropical Western Pacific, J. Appl. Meteor., 42, 1234-1254.
Koch, D., et al. (2003), Clouds and sulfate are anticorrelated: A new diagnostic for global sulfur models, J. Geophys. Res., 108, 4781, doi:10.1029/2003JD003621.
Menon, S., et al. (2003), Evaluating aerosol/cloud/radiation process parameterizations with single-column models and Second Aerosol Characterization Experiment (ACE-2) cloudy column observations, J. Geophys. Res., 108, 4762, doi:10.1029/2003JD003902.

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