Improved Physical Parameterizations for Tropical Cyclone Numerical Weather Prediction
Abstract
Funds are provided to improve the parameterization of physical processes represented in numerical weather prediction (NWP) models to help improve prediction of tropical cyclone intensity and structure. The PI will collect and analyze radar, dropsonde, satellite and in-situ datasets from research aircraft, and work with other ONR-supported researchers to advance our understanding of TCs. The PI will collaborate with NRL Marine Meteorology Division in Monterey, to facilitate transition of this research directly into applied research efforts aimed at improving operations. The central objectives of this project are two-fold: Conduct basic research to improve our fundamental understanding of the ocean/atmosphere interface at high wind speeds and cloud microphysical processes in TCs. 2. Collaborate on applied research to improve parameterizations of these physical processes for use in U.S. Navy forecast models. The research will lead to better TC forecasts that directly benefit Naval operations in the Atlantic and Western Pacific.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 03, 2017
- Source ID
- N000141712230
Entities
People
- Michael M Bell
Organizations
- Colorado State University
- Office of Naval Research
- United States Navy