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Improving Subseasonal-to-Seasonal forecasts in predicting the occurrence of extreme precipitation events over the contiguous U.S. using machine learning models

Lujun Zhang, Tiantian Yang, Shang Gao, Yang Hong, Qin Zhang, Xin Wen, Chuntian Cheng

2022Atmospheric Research32 citationsDOI

Topics & Concepts

Quantitative precipitation forecastForecast skillEnvironmental sciencePrecipitationClimatologyConsensus forecastLead timeMeteorologyEnsemble forecastingStatisticsMathematicsGeologyGeographyBusinessMarketingMeteorological Phenomena and SimulationsClimate variability and modelsHydrology and Watershed Management Studies
Improving Subseasonal-to-Seasonal forecasts in predicting the occurrence of extreme precipitation events over the contiguous U.S. using machine learning models | Litcius