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Higher-order calibration on WindRAD (Wind Radar) scatterometer winds.

Authors :
Li, Zhen
Stoffelen, Ad
Verhoef, Anton
Wang, Zhixiong
Shang, Jian
Yin, Honggang
Source :
Atmospheric Measurement Techniques. 2023, Vol. 16 Issue 20, p4769-4783. 15p.
Publication Year :
2023

Abstract

WindRAD (Wind Radar) is a dual-frequency rotating fan-beam scatterometer instrument on the FY-3E (FengYun-3E) satellite. Scatterometers are generally calibrated using the linear NOC (NWP Ocean Calibration) method to control the main gain factor of the radar. While WindRAD is stable, the complex geometry, the design of the instrument, and the rotating antenna make the backscatter (σ∘) distributions persistently non-linear; hence NOC is insufficient. Therefore, a higher-order calibration (HOC) method is proposed. The CDF (cumulative distribution function) matching technique is employed to match the CDF of measured σ∘ instances to simulated σ∘ instances. HOC removes the non-linearities for each incidence angle. However, it is not constructed to remove the anomalous harmonic azimuth dependencies caused by the antenna rotation. These azimuth dependencies are reduced by NOCant (NOC as a function of incidence angle and relative antenna azimuth angle). Therefore, the combination of HOC and NOCant is implemented to correct both anomalous σ∘ amplitude and azimuth variations. The wind retrieval performance is evaluated with NOCant, HOC, and HOC and NOCant combined. The wind statistics and the cone distance metric both show that HOC&NOCant achieves the optimal winds for C-band and Ku-band. The calibrations have been tested on two operational input data versions; HOC works well on both data versions and HOC&NOCant can achieve the optimal wind performance for both data versions. This confirms the usefulness of HOC in the case of non-linear instrument gain anomalies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18671381
Volume :
16
Issue :
20
Database :
Academic Search Index
Journal :
Atmospheric Measurement Techniques
Publication Type :
Academic Journal
Accession number :
173394903
Full Text :
https://doi.org/10.5194/amt-16-4769-2023