Assistant Professor

Contact info

Geography-Geology building, 106
Phone Number:
Research Interests:

My research group aims to answer critical questions about Earth's changing climate system that impact the availability of freshwater, sustainability of natural ecosystems, and environmental extremes (e.g., floods, droughts, air quality, and heat waves). We employ innovative computational methods to study physical processes that are relevant across a range of scales and bring emerging climate modeling technology to bear on important scientific and societally relevant problems.

  • Ph.D. (2014), University of California, San Diego Climate Science
  • B.S. (2004), Tufts University Applied Physics
Selected Publications:

Kooperman, G. J., M. S. Pritchard, M. A. Burt, M. D. Branson, and D. A. Randall (2016), Impacts of cloud superparameterization on projected daily rainfall intensity climate changes in multiple versions of the Community Earth System Model. J. Adv. Model. Earth Syst., in press, doi:10.1002/2016MS000715.

Kooperman, G. J., M. S. Pritchard, M. A. Burt, M. D. Branson, and D. A. Randall (2016), Robust effects of cloud superparameterization on simulated daily rainfall intensity statistics across multiple versions of the Community Earth System Model, J. Adv. Model. Earth Syst., 8, 140-165, doi:10.1002/2015MS000574.

Kooperman, G. J., M. S. Pritchard, and R. C. J. Somerville (2014), The response of US summer rainfall to quadrupled CO2 climate change in conventional and super-parameterized versions of the NCAR Community Atmosphere Model, J. Adv. Model. Earth Syst., 6, 859-882, doi:10.1002/2014MS000306.

Kooperman, G. J., M. S. Pritchard, and R. C. J. Somerville (2013), Robustness and sensitivities of Central US summer convection in super-parameterized CAM: Multi-model intercomparison with a new regional EOF index, Geophys. Res. Lett., 40, 3287-3291, doi:10.1002/grl.50597.

Kooperman, G. J., M. S. Pritchard, S. J. Ghan, M. Wang, R. C. J. Somerville, and L. M. Russell (2012), Constraining the influence of natural variability to improve estimates of global aerosol indirect effects in a nudged version of the Community Atmosphere Model 5, J. Geophys. Res. Atmos., 117, D23204, doi:10.1029/2012JD018588.

Elliott, E. J, S. Yu, G. J. Kooperman, H. Morrison, M. Wang, and M. S. Pritchard (2016), Sensitivity of summer ensembles of fledgling superparameterized U.S. mesoscale convective systems to cloud resolving model microphysics and grid configuration, J. Adv. Model. Earth Syst., 8, doi:10.1002/2015MS000567.

Zhao, Z., G. J. Kooperman, M. S. Pritchard, L. M. Russell, and R. C. J. Somerville (2014), Investigating impacts of forest fires in Alaska and Western Canada on regional weather over the Northeastern United States using CAM5 global simulations to constrain transport to a WRF-Chem regional domain, J. Geophys. Res. Atmos., 119, doi:10.1002/2013JD020973.

Zhang, K., H. Wan, X. Liu, S. J. Ghan, G. J. Kooperman, P.-L. Ma, P. J. Rasch, D. Neubauer, and U. Lohmann (2014), Technical Note: On the use of nudging for aerosol-climate model intercomparison studies, Atmos. Chem. Phys., 14, 8631-8645, doi:10.5194/acp-14-8631-2014.

Shen, S. S. P., M. Velado, R. C. J. Somerville, and G. J. Kooperman (2013), Probabilistic assessment of cloud fraction using Bayesian blending of independent datasets: Feasibility study of a new method, J. Geophys. Res. Atmos., 118, 4644-4656, doi:10.1002/jgrd.50408.

Articles featuring Gabriel J. Kooperman

Thursday, January 10, 2019 - 2:25pm

This past July, the U.S. Department of Energy announced $10 million in funding for 13 projects aimed at further enhancing one of the world’s most sophisticated computer models for understanding weather and climate patterns.

Gabriel J. Kooperman