Removal of Content Advisory - April 2024

Advisory to Hurricane WRF (HWRF) users: As of the beginning of April 2024, all support assets for Hurricane WRF (HWRF) will be removed from the DTC website. Users should download all reference materials of interest prior to April 2024.

Hurricane WRF (HWRF)

courtesy of NASA | NASA astronaut Scott Kelly photographed Hurricane Danny as the International Space Station orbited over the central Atlantic Ocean on Aug. 20, 2015. He tweeted this image from his Twitter account @StationCDRKelly here... https://twitter.com/StationCDRKelly/status/634386097301118976

Notice: as of October 2021, DTC has ceased all activities supporting the HWRF User community. For more details see the full announcement.

HURRICANE WRF

Welcome to the Hurricane Weather Research and Forecasting (HWRF) users page. HWRF is designed to serve both operational forecasting and atmospheric research needs. It features the NMM dynamic core, multiple physical parameterizations, a variational data assimilation system, ability to couple with an ocean model, and a software architecture allowing for computational parallelism and system extensibility. From this website, users can obtain codes, datasets, and information for running HWRF.

The Developmental Testbed Center maintained and supported the use of all components of HWRF to the community (last released at version 4.0a) through 30 September 2021, including the Weather Research and Forecasting (WRF) atmospheric model with its Preprocessing System (WPS), various vortex initialization procedures, the Princeton Ocean Model for Tropical Cyclones (MPIPOM-TC), the Gridpoint Statistical Interpolation (GSI) three-dimensional ensemble-variational data assimilation system, the NOAA National Centers for Environmental Prediction (NCEP) coupler, the NOAA Geophysical Fluid Dynamics Laboratory (GFDL) Vortex Tracker, and various post-processing and products utilities.

The effort to develop HWRF has been a collaborative partnership, principally between NOAA (NCEP, Atlantic Oceanographic and Meteorological Laboratory (AOML), and GFDL) and the University of Rhode Island.