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    The Northeast Winter Monsoon over the Indian Subcontinent and Southeast Asia: Evolution, Interannual Variability, and Model Simulations 

    Source: Journal of Climate:;2018:;volume 032:;issue 001:;page 231
    Author(s): Sengupta, Agniv; Nigam, Sumant
    Publisher: American Meteorological Society
    Abstract: The northeast monsoon (NEM) brings the bulk of annual rainfall to southeastern peninsular India, Sri Lanka, and the neighboring Southeast Asian countries. This October?December monsoon is referred to as the winter monsoon ...
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    Atlantic–Pacific Links in Observed Multidecadal SST Variability: Is the Atlantic Multidecadal Oscillation’s Phase Reversal Orchestrated by the Pacific Decadal Oscillation? 

    Source: Journal of Climate:;2020:;volume( 33 ):;issue: 013:;page 5479
    Author(s): Nigam, Sumant;Sengupta, Agniv;Ruiz-Barradas, Alfredo
    Publisher: American Meteorological Society
    Abstract: The Atlantic and Pacific basin are found linked in the context of multidecadal SST variability from analyses of 118 years of observational data. Recurrent spatiotemporal variability, including multidecadal modes, was ...
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    Deep Learning Forecast Uncertainty for Precipitation over the Western United States 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 006:;page 1367
    Author(s): Hu, Weiming; Ghazvinian, Mohammadvaghef; Chapman, William E.; Sengupta, Agniv; Ralph, Fred Martin; Delle Monache, Luca
    Publisher: American Meteorological Society
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    Deep Learning Forecast Uncertainty for Precipitation over the Western United States 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 006
    Author(s): Hu, Weiming; Ghazvinian, Mohammadvaghef; Chapman, William E.; Sengupta, Agniv; Ralph, Fred Martin; Delle Monache, Luca
    Publisher: American Meteorological Society
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    From California’s Extreme Drought to Major Flooding: Evaluating and Synthesizing Experimental Seasonal and Subseasonal Forecasts of Landfalling Atmospheric Rivers and Extreme Precipitation during Winter 2022/23 

    Source: Bulletin of the American Meteorological Society:;2024:;volume( 105 ):;issue: 001:;page E84
    Author(s): DeFlorio, Michael J.; Sengupta, Agniv; Castellano, Christopher M.; Wang, Jiabao; Zhang, Zhenhai; Gershunov, Alexander; Guirguis, Kristen; Luna Niño, Rosa; Clemesha, Rachel E. S.; Pan, Ming; Xiao, Mu; Kawzenuk, Brian; Gibson, Peter B.; Scheftic, William; B
    Publisher: American Meteorological Society
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    Deep Learning of a 200-Member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events 

    Source: Monthly Weather Review:;2024:;volume( 152 ):;issue: 007:;page 1587
    Author(s): Ghazvinian, Mohammadvaghef; Delle Monache, Luca; Afzali Gorooh, Vesta; Steinhoff, Daniel; Sengupta, Agniv; Hu, Weiming; Simpson, Matthew; Weihs, Rachel; Papadopoulos, Caroline; Mulrooney, Patrick; Kawzenuk, Brian; Mascioli, Nora; Ralph, Fred Martin
    Publisher: American Meteorological Society
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