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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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An Assessment of Dropsonde Sampling Strategies for Atmospheric River Reconnaissance

Source: Monthly Weather Review:;2024:;volume( 152 ):;issue: 003:;page 811

Author(s): Zheng, Minghua; Torn, Ryan; Delle Monache, Luca; Doyle, James; Ralph, Fred Martin; Tallapragada, Vijay; Davis, Christopher; Steinhoff, Daniel; Wu, Xingren; Wilson, Anna; Papadopoulos, Caroline; Mulrooney, Patrick

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

An Assessment of Dropsonde Sampling Strategies for Atmospheric River Reconnaissance

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

An Assessment of Dropsonde Sampling Strategies for Atmospheric River Reconnaissance