Evaluating and correcting rain effects on dual-frequency altimeter Jason-1 wind measurements

Xuan Zhou; Xiaofeng Yang; Yulong Hao; Shiwei Zhao; Yang Yu; Ziwei Li

doi:10.1007/s00343-013-2201-4

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Evaluating and correcting rain effects on dual-frequency altimeter Jason-1 wind measurements

Updated：2023-05-16

- Evaluating and correcting rain effects on dual-frequency altimeter Jason-1 wind measurements
- Journal of Oceanology and Limnology Vol. 31, Issue 4, Pages: 917-924(2013)
- Affiliations：
  
  Institute of Remote Sensing Applications Chinese Academy of Sciences
- Author bio：
- Funds：
- DOI：10.1007/s00343-013-2201-4
  CLC：
- Online First：10 July 2013，
  
  Published：2013
- Accepted：
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Zhou, X., Yang, X., Hao, Y. et al. Evaluating and correcting rain effects on dual-frequency altimeter Jason-1 wind measurements., Chin. J. Ocean. Limnol. 31, 917–924 (2013). https://doi.org/10.1007/s00343-013-2201-4
DOI：

Zhou, X., Yang, X., Hao, Y. et al. Evaluating and correcting rain effects on dual-frequency altimeter Jason-1 wind measurements., Chin. J. Ocean. Limnol. 31, 917–924 (2013). https://doi.org/10.1007/s00343-013-2201-4 DOI：

摘要

Abstract

Rain is one of the main sources of error in dual-frequency altimeter Jason-1 wind measurement. In this study

a new radar altimeter backscatter model is proposed and validated to eliminate rain effects. The model takes into account attenuation

volume backscattering

and sea surface perturbation by raindrops under rain conditions. A match-up dataset is built to evaluate rain effects

in combination with the Jason-1 normalized radar cross section

precipitation radar data from the Tropical Rainfall Measuring Mission

and sea surface wind reanalysis data from the European Centre for Medium-Range Weather Forecasts. The results show that rain-induced surface perturbation backscatter increases with rain rate at Ku-band

but their correlation at C-band is poor. In addition

rain surface perturbation and attenuation have major effects onradar altimeter wind measurements. Finally

a rain correction model for Jason-1 winds is developed and validation results prove its ability to reduce rain-induced inaccuracies in wind retrievals.

关键词

Keywords

references

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