Natural disasters can wreak havoc on our communities, sometimes in an instant. It is crucial that we understand and predict hazardous weather in order to protect human health and public safety.
How can we accurately and quickly predict hazardous weather?
What are the best ways to communicate hazards and impacts to the public?
What can we do to help decision-makers?
RRFS is being developed by NOAA GSL and NOAA’s Environmental Modeling Center and is NOAA’s next-generation high-resolution ensemble prediction system underpinned by the community-based Unified Forecast System. RRFS provides hourly forecasts on a 3km grid with 65 vertical layers and is expected to be implemented into NOAA National Weather Service operations in late 2023. View the experimental RRFS model output here.
DESI is a prototype application to slice, dice, and visualize meteorological ensemble data. DESI was created by GSL for the NWS to calculate customized scenarios, statistics, thresholds, and timing information because each forecaster and partner has unique needs.