Use GOES data to evaluate the performance of Hurricane Analysis and Forecast System (HAFS)

PI Lastname
Bao
PI Firstname
Shaowu
PI Affiliation
Department of Coastal and Marine Systems Science, Coastal Carolina University
Research Area
Project Year
2020
Publication Citation

Bao, S., Z. Zhang, E. Kalina, and B. Liu, 2022.  The use of composite GOES-R satellite imagery to evaluate a TC intensity and vortex structure forecast by an FV3GFS-based hurricane forecast model.  Atmosphere, 13, doi: 10.3390/xxxxx.

Section

Testing Exponential-Random Cloud Overlap for HWRF Operations and Unifying RRTMG Radiation Codes in Operational Use at NOAA/EMC

PI Lastname
Iacono
PI Firstname
Michael J.
PI Affiliation
Atmospheric and Environmental Research / Verisk Analytics
PI2 Lastname
Henderson
PI2 Firstname
John M.
Research Area
PI2 Affiliation
Atmospheric and Environmental Research / Verisk Analytics
Project Year
2020
Section

Evaluating and Improving Planetary Boundary Layer Parameterizations in HWRF using Aircraft Observations

PI Lastname
Zhang
PI Firstname
Jun
Research Area
Project Year
2019
Publication Citation

Zhang, J. A., E. A. Kalina, M. K. Biswas, R. F. Rogers, P. Zhu, and F. D. Marks, 2020.  A review and evaluation of planetary boundary layer parameterizations in hurricane weather research and forecasting model using idealized simulations and observations.  atmosphere, 11, 1091, 1 - 21, doi:10.3390/atmos11101091.  Available at: https://www.mdpi.com/2073-4433/11/10/1091/pdf 

Section
Subscribe to Visitor Program