Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

First Results from the WindRAD Scatterometer Onboard FY-3E: Data Analysis, Calibration and Wind Retrieval Evaluation

Version 1 : Received: 16 February 2023 / Approved: 22 February 2023 / Online: 22 February 2023 (03:07:53 CET)

A peer-reviewed article of this Preprint also exists.

Li , Z.; Verhoef, A.; Stoffelen, A.; Shang , J.; Dou , F. First Results from the WindRAD Scatterometer on Board FY-3E: Data Analysis, Calibration and Wind Retrieval Evaluation. Remote Sens. 2023, 15, 2087. Li , Z.; Verhoef, A.; Stoffelen, A.; Shang , J.; Dou , F. First Results from the WindRAD Scatterometer on Board FY-3E: Data Analysis, Calibration and Wind Retrieval Evaluation. Remote Sens. 2023, 15, 2087.

Abstract

FY-3E WindRAD (Fengyun-3E Wind Radar) is a dual-frequency rotating fan-beam scatterometer. Its data characteristics, NOC (NWP Ocean Calibration), and wind retrieval performance are investigated in this paper. The radar view geometry diversity varies across the swath, with maximum diversity in the sweet swaths and limited diversity in the outer and nadir swaths. When NOC backscatter calibration coefficients are computed as a function of incidence angle only (NOCint), a smooth correction is found. However, when relative antenna azimuth angle is included (NOCant), it appears that the corrections as a function of relative azimuth angle vary harmonically and substantially for a specific incidence angle. NOCant corrections yield a better fit of the measurements to the GMF (Geophysical Model Function). Hence NOCant is applied for the wind retrieval analysis from Ku-band, C-band. An extra engineering correction of 0.15dB and 0.2dB is applied on Ku-band and C-band backscatter values, respectively, to reduce the wind speed bias without increasing the standard deviation. Overall, NOCant is the best option for both channels. Also, the instrument backscatter data stability over time is good and the retrieved winds can fulfill operational requirements.

Keywords

WindRAD; NWP ocean calibration; Bayesian wind retrieval; rotating fan-beam scatterometer

Subject

Environmental and Earth Sciences, Atmospheric Science and Meteorology

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