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Abstract: Improving Sub-seasonal Monsoon Forecasts Over India with Machine Learning for Hydrologic Applications (AGU25)

Improving Sub-seasonal Monsoon Forecasts Over India with Machine Learning for Hydrologic Applications

Andrew William Robertson1, Emile Esmaili2, Muhammad Azhar Ehsan3, A. Dey4, Susmitha Joseph4, Shiqi Fang5, Chandramauli Awasthi6, Jeongwoo Hwang7 and Sankar Arumugam5, (1)Center for Climate Systems Research @NASA GISS, New York, United States, (2)Columbia University in the City of New York, Columbia Climate School, New York, United States, (3)Center for Climate Systems Research, New York, United States, (4)Indian Institute of Tropical Meteorology, Pune, India, (5)North Carolina State University, Civil, Construction, and Environmental Engineering, Raleigh, United States, (6)North Carolina A & T State University, Greensboro, United States, (7)NC State University, Department of Civil, Construction, and Environmental Engineering, Raleigh, United States
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