KEYNOTE - Recent Advances in Retrieval of Ocean Surface Wind Fields from GNSS-R delay-Doppler Maps

N. Rodriguez-Alvarez and J.L. Garrison

Abstract:	An Extended Kalman Filter (EKF) algorithm for the retrieval of surface wind field from satellite Global Navigation Satellite System-Reflectometry (GNSS- R) measurements is presented. EKF wind retrievals show improved accuracy when compared with a Principal Components Analysis (PCA), the best single-parameter observable de- fined for the Cyclone Global Navigation Satellite System (CYGNSS) mission. Furthermore, the EKF is capable of retrieving a wind field over the ocean swath defined by the full extent of the Delay-Doppler Map (DDM). PCA, in contrast utilizes only observations with the 25 km X 25 km resolution cell centered on the specular point. This algorithm is applied to simulated DDMs obtained from the CYGNSS end-to-end simulator (E2ES) using wind data from a “nature run” tropical storm simulation and actual measurements from Hurricane Danielle.
Published in:	Proceedings of the ION 2015 Pacific PNT Meeting April 20 - 23, 2015 Marriott Waikiki Beach Resort & Spa Honolulu, Hawaii
Pages:	518 - 521
Cite this article:	Rodriguez-Alvarez, N., Garrison, J.L., "KEYNOTE - Recent Advances in Retrieval of Ocean Surface Wind Fields from GNSS-R delay-Doppler Maps," Proceedings of the ION 2015 Pacific PNT Meeting, Honolulu, Hawaii, April 2015, pp. 518-521.
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