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Earth Institute Research Projects

Earth System Modeling, Comparative Planetary Climatologies and Remote Sensing

Lead PI: Dr. Gregory V Cesana

Unit Affiliation: Center for Climate Systems Research (CCSR)

September 2018 - August 2019
Inactive
Global ; New York City, NY ; New York
Project Type: Research

DESCRIPTION: Whether clouds will amplify or dampen global warming, referred to as cloud feedbacks, continues to be a dominant source of uncertainty in future climate projections. The goal of the project is to improve the representation of cloud feedbacks – in the lower atmosphere (below ~ 3 km) and on a global scale – and their effect on climate in the GISS model using satellite observations by focusing on cloud processes and cloud-radiation interactions in the past, present and future climate.

OUTCOMES: Reducing the uncertainty caused by these feedbacks is critical to predict the future climate change. Low clouds over the tropics and at mid-latitudes contribute up to 50 % in recent generations of the Coupled Model Intercomparison Project (CMIP) models. With this project, we provide a new observational constraint of low-level cloud feedbacks in the tropics and the mid-latitudes for climate models, which will lead to improved representation of cloud feedbacks in present and future climate.

SPONSOR:

National Aeronautics & Space Administration-NASA

FUNDED AMOUNT:

$51,646

PUBLICATIONS:

2019
Cesana, G., A.D. Del Genio, A.S. Ackerman, M. Kelley, G. Elsaesser, A.M. Fridlind, Y. Cheng, and M.-S. Yao, 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.

Cesana, G., D.E. Waliser, D. Henderson, T.S. L'Ecuyer, X. Jiang, and J-L.F. Li, 2019: The vertical structure of radiative heating rates: A multimodel evaluation using A-Train satellite observations. J. Climate, 32, no. 5, 1573-1590, doi:10.1175/JCLI-D-17-0136.1.

2018
Cesana, G., A. Del Genio, and A. Ackerman, 2018: Constraining the models' response of tropical clouds to SST forcings using CALIPSO observations. In Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions VII, 24-26 September 2018, Honolulu, Hawaii. G. Liu and Z.S. Haddad, Eds., Proc. SPIE, vol. 10782, pp. 107820A, doi:10.1117/12.2324800.

Kim, J., D.E. Waliser, G.V. Cesana, X. Jiang, T. L'Ecuyer, and J.M. Neena, 2018: Cloud and radiative heating profiles associated with the boreal summer intraseasonal oscillation. Clim. Dyn., 50, no. 5-6, 1485-1494, doi:10.1007/s00382-017-3700-3.

Myers, T.A., C.R. Mechoso, G.V. Cesana, M.J. DeFlorio, and D.E. Waliser, 2018: Cloud feedback key to marine heatwave off Baja California. Geophys. Res. Lett., 45, no. 9, 4345-4352, doi:10.1029/2018GL078242.

2017
Cesana, G., D.E. Waliser, T. L'Ecuyer, X. Jiang, and J.-L. Li, 2017: Evaluation of radiative heating rate profiles in eight GCMs using A-train satellite observations. In Radiation Processes in the Atmosphere and Ocean (IRS2016): Proceedings of the International Radiation Symposium (IRC/IAMAS), 16–22 April 2016, Auckland, New Zealand, AIP Conference Proceedings, vol. 1810, pp. 070001, doi:10.1063/1.4975522.

Cesana, G.V., K. Suselj, and F. Brient, 2017: On the dependence of cloud feedbacks on physical parameterizations in WRF aquaplanet simulations. Geophys. Res. Lett., 44, no. 20, 10762-10771, doi:10.1002/2017GL074820.

Cesana, G., and T. Storelvmo, 2017: Improving climate projections by understanding how cloud phase affects radiation. J. Geophys. Res. Atmos., 122, no. 8, 4594-4599, doi:10.1002/2017JD026927.

Guzman, R., H. Chepfer, V. Noel, T. Vaillant de Guélis, J.E. Kay, P. Raberanto, G. Cesana, M.A. Vaughan, and D.M. Winker, 2017: Direct atmosphere opacity observations from CALIPSO provide new constraints on cloud-radiation interactions. J. Geophys. Res. Atmos., 122, no. 2, 1066-1085, doi:10.1002/2016JD025946.

Kikuchi, M., H. Okamoto, K. Sato, K. Suzuki, G. Cesana, Y. Hagihara, N. Takahashi, T. Hayasaka, and R. Oki, 2017: Development of algorithm for discriminating hydrometeor particle types with a synergistic use of CloudSat and CALIPSO. J. Geophys. Res. Atmos., 122, no. 20, 11022-11044, doi:10.1002/2017JD027113.

KEYWORDS

remote sensing satellites cloud feedback earth system modeling radiation climatology

THEMES

Modeling and Adapting to Future Climate