FY20 HFIP Competition: Awardees - OSTI Modeling
Research proposals to advance NGGPS with the FV3 dynamical core will focus on accelerating coupled model development to improve forecast accuracy. This includes coupling among the weather prediction model components (atmosphere, ocean, land surface and ice system), advancing data assimilation and ensemble techniques, and developing post-processing forecast tools and improving deterministic forecast skill by improving computational efficiency (see details in NOAA-NWS-NWSPO-2020-2006290).
For the HFIP competition, 3 proposals were awarded with individual award amounts ranging from $100,000 to $250,000 per year for up to two years. Project start date is September 1, 2020. Details of the projects are summarized in the table below.
| Project Title | PI/co-PIs |
Affiliation |
|---|---|---|
| Extending The Tropical Cyclone Genesis Index To Global Ensemble Forecasts |
Alan Brammer Andrea Schumacher |
CIRA/CSU |
| Dustin Grogan | University at Albany, SUNY | |
| Developing Regional Ocean Modeling Capabilities with MOM6 for use in the UFS | Enrique Curchister | Rutgers |
| Application of Innovation Statistics to Diagnose Biases in the HAFS System | Ryan Torn | University at Albany, SUN |
Brammer A., Schumacher AB, Grogan D, Dunion JP (2022): Tropical Cyclone Genesis Index and Global Ensemble Forecasts: Expanding to Global Basins and Evaluation of Real-Time 2021 Forecasts, 102nd American Meteorological Society Annual Meeting, January 2022
Brammer A, Grogan D, Schumacher AB, Dunion JP (2022): Development and Verification of a New Ensemble Global Genesis Index for Tropical Cyclones, 102nd American Meteorological Society Annual Meeting, January 2022
Grogan D and co-authors (2022): Tropical Cyclone Genesis Index and Global Ensemble Forecasts: Prediction for the Atlantic and East Pacific Basins from 2018 to 2020 — 2022 AMS Annual Meeting, January 2022
Torn
Yang, E. G., R. D. Torn, 2022: Diagnosis of biases in the Hurricane Analysis and Forecast System using innovation statistics within an earth-relative and storm-relative framework. 35th Conference on Hurricanes and Tropical Meteorology. New Orleans, LA.