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Within the last decade, operational meteorologists have raised concerns that the availability of weather information from a variety of sources may contribute to a perception that weather risk messages are inconsistent and result in negative consequences among end users.
The primary objective of this project is to improve predictions of water levels caused by extratropical tide and storm surge within the the Global Extratropical Storm and Tide Operational Forecast System (Global ESTOFS), by developing improved meshes and directly incorporating baroclinic and hydrologic physics.
Forecasters at NOAA’s Weather Prediction Center (WPC) are responsible for producing Excessive Rainfall Outlooks, which brings awareness to the potential for flood-inducing rains up to three days in advance. However, the amount of rain that qualifies as “excessive” varies from region to region.
Floods are among the most costly and deadly natural disasters that occur in the United States, coming in second to heat events.
As the climate continues to change and the frequency, severity, and impacts of wildfires increase, the importance of wildfire prediction and detection becomes even more critical.
Imperative to increased forecasting skill for hurricanes is the development of the Hurricane Forecast Analysis System or HAFS.
JEDI will allow for a faster development and research-to-operations (R2O) of advanced data assimilation and related components to meet the requirements of NOAA’s Unified Forecast System (UFS).
Community development of the Unified Forecast System (UFS) requires a shared community modeling infrastructure framework, whereby the entire modeling suite (components and applications) follows a collaborative development paradigm.
The Weather Program Office (WPO) is soliciting proposals for four grant competitions valued at approximately $13.5 million per year for the following competitions.
The Weather Program Office is working with the Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University (CSU) and the National Center for Atmospheric Research (NCAR) to advance the forecast capabilities of the Rapid Refresh Forecast System (RRFS) through the testing and implementation of stochastic physics configurations.
