Wuyin Lin, Ph.D.

Affiliations: 
2002 Stony Brook University, Stony Brook, NY, United States 
Area:
Atmospheric Science Physics, Geophysics
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"Wuyin Lin"

Parents

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Minghua Zhang grad student 2002 SUNY Stony Brook
 (On the relationship between tropical convection and clear sky upper troposphere moisture.)
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Publications

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Song J, Tong G, Chao J, et al. (2023) Data driven pathway analysis and forecast of global warming and sea level rise. Scientific Reports. 13: 5536
Bogenschutz PA, Tang S, Caldwell PM, et al. (2020) The E3SM version 1 Single Column Model Geoscientific Model Development Discussions. 1-26
Zheng X, Klein SA, Ghate VP, et al. (2020) Assessment of Precipitating Marine Stratocumulus Clouds in the E3SMv1 Atmosphere Model: A Case Study from the ARM MAGIC Field Campaign Monthly Weather Review. 148: 3341-3359
Zhang C, Xie S, Tao C, et al. (2020) The ARM Data-oriented Metrics and Diagnostics Package for Climate Models - A New Tool for Evaluating Climate Models with Field Data Bulletin of the American Meteorological Society. 1-21
Lubin D, Zhang D, Silber I, et al. (2020) AWARE: The Atmospheric Radiation Measurement (ARM) West Antarctic Radiation Experiment Bulletin of the American Meteorological Society. 101: E1069-E1091
Ren T, Yang P, Schumacher C, et al. (2020) Impact of Cloud Longwave Scattering on Radiative Fluxes Associated With the Madden‐Julian Oscillation in the Indian Ocean and Maritime Continent Journal of Geophysical Research. 125
Zhang M, Xie S, Liu X, et al. (2020) Toward Understanding the Simulated Phase Partitioning of Arctic Single‐Layer Mixed‐Phase Clouds in E3SM Earth and Space Science. 7
Lee DY, Lin W, Petersen MR. (2020) Wintertime Arctic Oscillation and North Atlantic Oscillation and their impacts on the Northern Hemisphere climate in E3SM Climate Dynamics. 55: 1105-1124
Tang Q, Klein SA, Xie S, et al. (2019) Regionally refined test bed in E3SM atmosphere model version 1 (EAMv1) and applications for high-resolution modeling Geoscientific Model Development. 12: 2679-2706
Zhang T, Lin W, Lin Y, et al. (2019) Prediction of Tropical Cyclone Genesis from Mesoscale Convective Systems Using Machine Learning Weather and Forecasting. 34: 1035-1049
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