Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Journal of Hydrometeorology, Vol. 20, No. 9 (September 2019), pp. 1887-1906 (20 pages) Subseasonal to seasonal (S2S) weather forecasting has made significant advances and several products have been ...

Jie He, assistant professor in the School of Earth and Atmospheric Sciences, wants to predict how rainfall will change in the presence of continuing climate change. — Photo by Jerry Grillo ...

ABSTRACT Through the use of a mesoscale meteorological model and distributed hydrologic model, the effects of initial soil moisture on rainfall generation, streamflow, and evapotranspiration during ...

Normally, we think of the freezing point of water as 32°F - but in the world of weather forecasting and hydrologic prediction, that isn't always the case. In the Lake Tahoe region of the Sierra Nevada ...

A novel framework integrates urban surveillance video data with a two-stage AI pipeline: an enhanced random forest classifier detects rain streaks and selects key image regions, while a hybrid deep ...