Ku-band Polarization Difference Model for the Scatterometer Wind Inversion

Type Proceedings paper
Date 2021-07
Language English
Author(s) Mironov Alexey1, Quilfen YvesORCID2, Chapron BertrandORCID2, Kudryavtsev V.N.3
Affiliation(s) 1 : eOdyn, Plouzané, France
2 : Laboratory for Ocean Physics and Satellite Remote Sensing, IFREMER, Plouzané, France
3 : Satellite Ocean Laboratory, Russian State Hydrometeorological University, St. Petersburg, Russia
Meeting IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium
Source 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021. ISBN:978-1-6654-0369-6, Electronic ISSN: 2153-7003. pp. 1634-1637
DOI 10.1109/IGARSS47720.2021.9553166
Keyword(s) wind scatterometry, CFOSAT, SCAT, Ku-Band, sea surface radar backscattering, polarization difference model
Abstract

The CFOSAT mission provides a unique data set of collocated nadir, near-nadir and moderate angle dual-polarization Ku-band radar measurements. These combined measurements open new opportunities to revisit existing interpretation and approaches to analyze ocean radar backscatter signals. In particular, actual scatterometer wind vector retrieval algorithms and definitions of Geophysical Modulation Functions (GMFs) can be revisited, including sensitivity to additional parameters: wave state, currents, etc. The present work describes an alternative GMF approach based on the analysis of signal polarization differences, and interpretation in terms of ocean surface wind-roughness spectra. Based on CFOSAT measurements, the polarization-difference GMF reproduces main properties of standard empirical radar GMFs. However, it is more directly related to a theoretical short wave spectral model. This approach naturally enables the inclusion of additional sea state variables. Results of this work is intended to be implemented in wind retrieval processors to complement existing methods.

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Mironov Alexey, Quilfen Yves, Chapron Bertrand, Kudryavtsev V.N. (2021). Ku-band Polarization Difference Model for the Scatterometer Wind Inversion. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021. ISBN:978-1-6654-0369-6, Electronic ISSN: 2153-7003. pp. 1634-1637. https://archimer.ifremer.fr/doc/00757/86879/