The TORUS project, or Targeted Observation by Radars and UAS of Supercells, aims at understanding the relationships between severe thunderstorms and tornado formation. CREDIT: NSSL NOAA

Joint Technology Transfer Initiative Awards

The Joint Technology Transfer Initiative (JTTI), works closely with the National Weather Service to accelerate the transition of matured weather research to NWS operations to improve forecasting for the benefit of the American public. This year’s competition focused on improving model development in collaboration with the UFS community to improve forecasts, finding innovative methodologies to…

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Subseasonal to Seasonal Awards

The Weather Research and Forecasting Innovation Act of 2017 calls for NOAA to improve its Subseasonal to Seasonal (S2S) capabilities, and defines subseasonal to seasonal as the range between two weeks and two years. Additionally, the FY22 Appropriation mandated an increased emphasis on improvements to hydrologic prediction for the Western states. To meet these needs,…

The TORUS project, or Targeted Observation by Radars and UAS of Supercells, aims at understanding the relationships between severe thunderstorms and tornado formation. CREDIT: NSSL NOAA

Climate Testbed Awards

WPO’s Climate Testbed partnership with the National Center for Environmental Prediction  supports research to improve the operational products at the Climate Prediction Center. We accomplish this by supporting research projects in the collaborative Climate Test Bed, which are intended to demonstrate the potential for scientific advances from the external research community to improve operational climate…

The TORUS project, or Targeted Observation by Radars and UAS of Supercells, aims at understanding the relationships between severe thunderstorms and tornado formation. CREDIT: NSSL NOAA

Fire Weather & Air Quality FY 22 Awards

WPO funds work to advance our understanding of Air Quality and Fire Weather to improve forecasts and warnings for the public. The projects selected in this competition involve the use of machine learning, data assimilation techniques, physics, and post-processing of data to address gaps in the models such as the UFS, create a coupled fire-atmosphere…