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

Investigating the FV3-CAM data assimilation capability representing convective processes and structures of squall lines over the Great Plains

PI Lastname
Fernando Sapucci
PI Firstname
Luiz
PI Affiliation
National Institute of Space Research
PI2 Lastname
Hernández Baños
PI2 Firstname
Ivette
PI2 Affiliation
Grad Student
Project Year
2020
Section
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