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Integrating LEO and GEO Observations: Toward Optimal Summertime Satellite Precipitation Retrieval

Source: Journal of Hydrometeorology:;2023:;volume( 024 ):;issue: 011:;page 1939

Author(s): Afzali Gorooh, Vesta; Petković, Veljko; Arulraj, Malarvizhi; Nguyen, Phu; Hsu, Kuo-lin; Sorooshian, Soroosh; Ferraro, Ralph R.

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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Integrating LEO and GEO Observations: Toward Optimal Summertime Satellite Precipitation Retrieval

Deep Learning of a 200-Member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events

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Integrating LEO and GEO Observations: Toward Optimal Summertime Satellite Precipitation Retrieval

Deep Learning of a 200-Member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events