Development of a geophysical model function for HY-2 satellite microwave scatterometer wind retrievals

  • role: First author第一作者
  • Affiliation:

    School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

    Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China

  • Email:wangzhixiongcn@163.com
  • Introduction:E-mail wangzhixiongcn@163.com
WANG Zhixiong13,  
  • role: Corresponding author通信作者
  • Affiliation:

    Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 511458, China

    Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China

    National Satellite Ocean Application Service, Beijing 100081, China

  • Email:zoujuhong@mail.nsoas.org.cn
  • Introduction:E-mail zoujuhong@mail.nsoas.org.cn
ZOU Juhong234*,  
  • Affiliation:

    Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China

    National Satellite Ocean Application Service, Beijing 100081, China

LIN Mingsen34,  
  • Affiliation:

    School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

    Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China

LIN Wenming13,  
  • Affiliation:

    Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 511458, China

    Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China

    National Satellite Ocean Application Service, Beijing 100081, China

ZHANG Yougunag234,  
  • Affiliation:

    School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

    Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China

LI Xiuzhong13,  
  • Affiliation:

    Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China

    National Satellite Ocean Application Service, Beijing 100081, China

FENG Qian34,  
  • Affiliation:

    School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

    Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China

HE Yijun13

résumé

The Geophysical Model Function (GMF) is indispensable in space-born scatterometer wind retrieval data processing because it is the main factor that dominates the error characteristics of retrieved winds. In this study, a new Ku-band GMF (named NSCAT-5.HY-2), which includes Sea Surface Temperature (SST) dependence, is developed for improved HY-2 satellite scatterometer (HSCAT) wind retrieval. Based on the existing NSCAT-4 GMF, the dependence of σ0 on wind speed and direction will be refined, and that of σ0 on SST is then added. The sea surface winds from the C-band advanced scatterometer (ASCAT) onboard the MetOp-B and C satellites are of high quality and have no dependence on SST. Accordingly, the ASCAT winds are used as reference for developing the NSCAT-5.HY-2 GMF. HY-2C and HY-2D are in non-sun-synchronous orbits with a 66.0° inclination, and their equator crossing times shift each orbit. The HY-2C or HY-2D scatterometer represents a unique opportunity to acquire closely collocated HSCAT and ASCAT scatterometer winds at different times of the day. In this study, the wind vector cells between HSCAT and ASCAT are matched by limiting the spatial distance within km and time differences within 45 min. The close collocations of HSCAT and ASCAT winds allow accurate attribution of the different correlated residual geophysical effects of wind speed bias and distribution, SST, sea state, rain, wind variability, and geographical sampling biases. Here, we explore the opportunity of close collocations of HSCAT-C and ASCAT and develop an SST-dependent Ku-band GMF for HY-2 scatterometers. The wind speed corrections as a function of wind speed can be calculated by using the cumulative distribution function matching technique, which aligns the Probability Density Function (PDF) of HSCAT wind speeds with the referenced PDF. During the wind direction modulations, five terms of the Fourier series are used, and the harmonic coefficients are derived utilizing ASCAT wind direction as reference. The variations of σ0 as a function of SST are given as a polynomial expansion for each given wind speed, and the polynomial coefficients are obtained from the observed and simulated radar cross-sections using closely collocated ASCAT winds of either vertical or horizontal polarizations. The validation of the new HSCAT wind products retrieved using NSCAT-5.HY-2 GMF shows clear improvements over those obtained with NSCAT-4 GMF. The consistency between HSCAT and ASCAT winds is much improved by at least 10%, and wind speed differences no longer depend on SST.

mots-clés

Remote sensing of sea surface wind vectors;HY-2 microwave scatterometer;ASCAT scatterometer;geophysical model function;sea surface temperature

References

  1. 1.
    Gohil B S, Sikhakolli R and Gangwar R K. 2013. Development of geophysical model functions for Oceansat-2 scatterometer. IEEE Geoscience and Remote Sensing Letters, 10(2): 377-380
  2. 2.
    Jiang X W, He X Q, Lin M S, Gong F, Ye X M and Pan D L. 2019. Progresses on ocean satellite remote sensing application in China. Acta Oceanologica Sinica, 41(10): 113-124
  3. 3.
    Jiang X W, Lin M S and Zhang Y G. 2016. Progress and prospect of Chinese ocean satellites. Journal of Remote Sensing, 20(5): 1185-1198
  4. 4.
    Liu J Q, Jiang X W and Lin M S. 2021. Past, current status and suggestions of Chinese oceanographic satellites. Satellite Application, (9): 14-18
  5. 5.
    Liu W T. 2002. Progress in scatterometer application. Journal of Oceanography, 58(1): 121-136
  6. 6.
    Ricciardulli L and Wentz F J. 2015. A scatterometer geophysical model function for climate-quality winds: QuikSCAT Ku-2011. Journal of Atmospheric and Oceanic Technology, 32(10): 1829-1846
  7. 7.
    Stoffelen A, Verspeek J A, Vogelzang J and Verhoef A. 2017. The CMOD7 geophysical model function for ASCAT and ERS wind retrievals. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(5): 2123-2134
  8. 8.
    Verhoef A, Portabella M and Stoffelen A. 2012. High-resolution ASCAT scatterometer winds near the coast. IEEE Transactions on Geoscience and Remote Sensing, 50(7): 2481-2487
  9. 9.
    Vogelzang J and Stoffelen A. 2017. ASCAT ultrahigh-resolution wind products on optimized grids. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(5): 2332-2339
  10. 10.
    Wang Z X, Stoffelen A, Fois F, Verhoef A, Zhao C F, Lin M S and Chen G. 2017a. SST dependence of Ku- and C-band backscatter measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(5): 2135-2146
  11. 11.
    Wang Z X, Stoffelen A, Zhang B, He Y J, Lin W M and Li X Z. 2019. Inconsistencies in scatterometer wind products based on ASCAT and OSCAT-2 collocations. Remote Sensing of Environment, 225: 207-216
  12. 12.
    Wang Z X, Stoffelen A, Zhao C F, Vogelzang J, Verhoef A, Verspeek J, Lin M S and Chen G. 2017b. An SST-dependent Ku-band geophysical model function for RapidScat. Journal of Geophysical Research: Oceans, 122(4): 3461-3480
  13. 13.
    Wang Z X, Zou J H, Zhang Y G, Stoffelen A, Lin W M, He Y J, Feng Q, Zhang Y, Mu B and Lin M S. 2021. Intercalibration of backscatter measurements among Ku-band scatterometers onboard the Chinese HY-2 satellite constellation. Remote Sensing, 13(23): 4783
  14. 14.
    Wentz F J and Smith D K. 1999. A model function for the ocean-normalized radar cross section at 14 GHz derived from NSCAT observations. Journal of Geophysical Research: Oceans, 104(C5): 11499-11514
  15. 15.
    Zhang Y, Mu B, Lin M S and Song Q T. 2021. An evaluation of the Chinese HY-2B satellite’s microwave scatterometer instrument. IEEE Transactions on Geoscience and Remote Sensing, 59(6): 4513-4521
  16. 16.
    Zhao C F, Xu R and Zhao K. 2019. Research of polar sea ice detection methods based on HY-2A/SCAT. Periodical of Ocean University of China, 49(10): 140-149
  17. 17.
    Zhao K, Zhao C F and Chen G. 2021. Evaluation of Chinese scatterometer ocean surface wind data: preliminary analysis. Earth and Space Science, 8(7): e2020EA001482
  18. 18.
    Zou J H, Lin M S, Zhang Y, Mu B, Guo M H and Cui S X. 2017. Operational regrouping algorithm for HSCAT. Journal of Remote Sensing, 21(6): 825-834

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