Zhenhai Zhang

Subseasonal-to-Seasonal Forecast; Atmospheric River; Water Vapor Transport; Prediction Skill; Madden-Julian Oscillation; Precipitation

Multi-Model Subseasonal Prediction Skill Assessment of Water Vapor Transport Associated With Atmospheric Rivers Over the Western US

Subseasonal-to-seasonal (S2S) forecasts of atmospheric rivers (ARs) are in high demand in the water supply management and flood control communities. This study focuses on a new …

zhenhai-zhang
•
Read more
Atmospheric River; Atmospheric River Reconnaissance; Data Assimilation; Dropsondes; Numerical Modeling; Observational Impact

Improved Forecast Skill Through the Assimilation of Dropsonde Observations From the Atmospheric River Reconnaissance Program

Landfalling atmospheric rivers (ARs) over the western US are responsible for similar to 30%-50 % of the annual precipitation, and their accurate forecasts are essential for …

minghua-zheng
•
Read more

Experimental Subseasonal-to-Seasonal (S2S) Forecasting of Atmospheric Rivers Over the Western United States

A multimodel evaluation of subseasonal-to-seasonal (S2S) hindcast skill of atmospheric rivers (ARs) out to 4-week lead over the western United States is presented for three …

michael-j.-deflorio
•
Read more