An improved wind retrieval algorithm for the HY-2A scatterometer

Zhixiong Wang; Chaofang Zhao; Juhong Zou; Xuetong Xie; Yi Zhang; Mingsen Lin

doi:10.1007/s00343-015-4145-3

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An improved wind retrieval algorithm for the HY-2A scatterometer

Updated：2023-05-16

- An improved wind retrieval algorithm for the HY-2A scatterometer
- Journal of Oceanology and Limnology Vol. 33, Issue 5, Pages: 1201-1209(2015)
- Affiliations：
  
  1. Ocean Remote Sensing Institute Ocean University of China
  2. National Satellite Ocean Application Service State Oceanic Administration
  3. Guangzhou University
- Author bio：
- Funds：
- DOI：10.1007/s00343-015-4145-3
  CLC：
- Online First：06 November 2014，
  
  Published：2015
- Accepted：
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Wang, Z., Zhao, C., Zou, J. et al. An improved wind retrieval algorithm for the HY-2A scatterometer., Chin. J. Ocean. Limnol. 33, 1201–1209 (2015). https://doi.org/10.1007/s00343-015-4145-3
DOI：

Wang, Z., Zhao, C., Zou, J. et al. An improved wind retrieval algorithm for the HY-2A scatterometer., Chin. J. Ocean. Limnol. 33, 1201–1209 (2015). https://doi.org/10.1007/s00343-015-4145-3 DOI：

摘要

Abstract

Since January 2012

the National Satellite Ocean Application Service has released operational wind products from the HY-2A scatterometer (HY2-SCAT)

using the maximum-likelihood estimation (MLE) method with a median filter. However

the quality of the winds retrieved from HY2-SCAT depends on the sub-satellite cross-track location

and poor azimuth separation in the nadir region causes particularly low-quality wind products in this region. However

an improved scheme

i.e.

a multiple solution scheme (MSS) with a two-dimensional variational analysis method (2DVAR)

has been proposed by the Royal Netherlands Meteorological Institute to overcome such problems. The present study used the MSS in combination with a 2DVAR technique to retrieve wind data from HY2-SCAT observations. The parameter of the empirical probability function

used to indicate the probability of each ambiguous solution being the “true” wind

was estimated based on HY2-SCAT data

and the 2DVAR method used to remove ambiguity in the wind direction. A comparison between MSS and ECMWF winds showed larger deviations at both low wind speeds (below 4 m/s) and high wind speeds (above 17 m/s)

whereas the wind direction exhibited lower bias and good stability

even at high wind speeds greater than 24 m/s. The two HY2-SCAT wind data sets

retrieved by the standard MLE and the MSS procedures were compared with buoy observations. The RMS error of wind speed and direction were 1.3 m/s and 17.4°

and 1.3 m/s and 24.0° for the MSS and MLE wind data

respectively

indicating that MSS wind data had better agreement with the buoy data. Furthermore

the distributions of wind fields for a case study of typhoon Soulik were compared

which showed that MSS winds were spatially more consistent and meteorologically better balanced than MLE winds.

关键词

Keywords

references

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