A GNSS-R Forward Model for Delay-Doppler Map Assimilation
- Resource Type
- Conference
- Authors
- Huang, Feixiong; Garrison, James L.; Leidner, Mark; Annane, Bachir; Hoffman, Ross
- Source
- IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2018 - 2018 IEEE International. :3323-3326 Jul, 2018
- Subject
- Aerospace
Computing and Processing
Fields, Waves and Electromagnetics
Geoscience
Photonics and Electrooptics
Signal Processing and Analysis
Wind speed
Computational modeling
Data models
Jacobian matrices
Hurricanes
Wind forecasting
GPS
GNSS-R
DDM
data assimilation
ocean wind
VAM
- Language
- ISSN
- 2153-7003
The Cyclone Global Navigation Satellite System (CYGNSS) constellation was launched for the purpose of improving tropical cyclone forecasts using GNSS Refiectometry (GNSS-R). CYGNSS wind speed estimates have been based on only a small window of the Delay-Doppler Maps (DDM) due to the resolution requirement. Direct assimilation of DDM data into a forecast model is an alternative approach, that could take advantage of contribution to the DDM from regions on the ocean away from the specular point. This paper will present a generalized forward model for assimilation of DDMs into a weather model. The forward operator and Jacobian matrix are derived and structured for use in data assimilation systems. The model has also been assessed using CYGNSS Level 1 data from the 2017 Hurricane season.