Improving S2S Hydrometeorological Predictions for the state of Texas through Synergistic Infusion of Remotely Sensed SST and Land Surface Variables to a Coupled Modeling System

Summary

UTA and Colorado State University collaborate to establish a regional S2S prediction system for the southern Plains, and use this system to assess potential predictability of precipitation anomalies at the subseasonal scale (week 3-6) that can be attained through assimilating soil moisture, vegetation state and sea surface temperature. The research will specifically examine the impacts of soil moisture anomalies on the nocturnal low level jet that plays a crucial role in supplying moisture to severe storms.

Project Sponsor

NASA