Assessing the Rapid Refresh Forecast System Data Assimilation Capability to Represent an Amazon Coastal Squall Line

PI Lastname
Fernando Sapucci
PI Firstname
Luis
PI Affiliation
Graduate Program in Meteorology, National Institute for Space Research, Sao Jose dos Campos, Sao Paulo, Brazil
Grad Student(s)
Ivette Hernandez Banos
Research Area
Project Year
2021
Section

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
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