Progress and Error Dependencies of Matched Filter Maximum Cyclone Wind Retrievals Using CYGNSS

Abstract

This presentation reports on progress relating to a storm characterization approach using spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) measurements from the Cyclone Global Navigation Satellite System (CYGNSS) mission. The retrieval concept is based on the use of a forward model for CYGNSS returns, which can produce predicted waveforms for parametric storm models having varying storm features, with particular emphasis placed on the storm maximum wind speed. A “matched filter” approach is then adopted by correlating predicted returns with those observed throughout an entire CYGNSS overpass of a storm; the correlation is performed between predicted and measured DDMs normalized by their root-mean-square (RMS) amplitudes. Storm parameters producing the maximum correlation and minimum RMS error (RMSE) values are then designated the retrieved value from which a complete parametric wind field for storm surge simulation can be generated. It is noted that the utility of this formulation is not limited to tracks passing through the storm eye, making “near-miss” tracks equally usable for attempting to retrieve storm information.