A Modeling Study of the Impact of the Sea Surface Temperature on the Backscattering Coefficient and Wind Field Retrieval
The sea surface temperature (SST) actively impacts the backscattering coefficient measured by scatterometers and the wind retrieval accuracy. However, none of the geophysical model functions (GMFs) currently used in operational wind retrieval considers the effect of the SST. With the HY-2A scatterom...
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Published in | IEEE access Vol. 8; pp. 78652 - 78662 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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Piscataway
IEEE
2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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ISSN | 2169-3536 2169-3536 |
DOI | 10.1109/ACCESS.2020.2990160 |
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Abstract | The sea surface temperature (SST) actively impacts the backscattering coefficient measured by scatterometers and the wind retrieval accuracy. However, none of the geophysical model functions (GMFs) currently used in operational wind retrieval considers the effect of the SST. With the HY-2A scatterometer as the research subject, this paper attempts to quantitatively analyze the effect of the SST on the backscattering coefficient for the first time and establish a new GMF by the Fourier series method (containing only cosine terms), which adopts the SST as the independent variable. The collocated Level 2A radar backscatter measurement data of the HY-2A scatterometer and the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis wind data are used to build the new SST-dependent GMF that considers the influence of the SST in the model. The study indicates that the SST effects are wind speed dependent and more significant under vertical-vertical (VV) polarization. The backscattering coefficient increases with increasing SST in the wind speed range of 5-15 m/s. In addition, with increasing wind speed, the influence of the SST gradually decreases. Finally, the new GMF was applied to retrieve the ocean surface wind, which was compared to the conventional GMF to validate its performance. The experimental results indicate that the accuracy of wind field retrieval by the new GMF is considerably improved and the systematic deviation in the wind speed is effectively corrected. This study potentially contributes to a better understanding of the microwave backscattering behavior of the ocean surface and provides a way to further improve the wind retrieval accuracy of the HY-2A scatterometer as well as of other Ku-band scatterometers. |
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AbstractList | The sea surface temperature (SST) actively impacts the backscattering coefficient measured by scatterometers and the wind retrieval accuracy. However, none of the geophysical model functions (GMFs) currently used in operational wind retrieval considers the effect of the SST. With the HY-2A scatterometer as the research subject, this paper attempts to quantitatively analyze the effect of the SST on the backscattering coefficient for the first time and establish a new GMF by the Fourier series method (containing only cosine terms), which adopts the SST as the independent variable. The collocated Level 2A radar backscatter measurement data of the HY-2A scatterometer and the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis wind data are used to build the new SST-dependent GMF that considers the influence of the SST in the model. The study indicates that the SST effects are wind speed dependent and more significant under vertical-vertical (VV) polarization. The backscattering coefficient increases with increasing SST in the wind speed range of 5-15 m/s. In addition, with increasing wind speed, the influence of the SST gradually decreases. Finally, the new GMF was applied to retrieve the ocean surface wind, which was compared to the conventional GMF to validate its performance. The experimental results indicate that the accuracy of wind field retrieval by the new GMF is considerably improved and the systematic deviation in the wind speed is effectively corrected. This study potentially contributes to a better understanding of the microwave backscattering behavior of the ocean surface and provides a way to further improve the wind retrieval accuracy of the HY-2A scatterometer as well as of other Ku-band scatterometers. |
Author | Peng, Yihuan Li, Haitao Xie, Xuetong Pan, Cuihong Lin, Mingsen |
Author_xml | – sequence: 1 givenname: Yihuan orcidid: 0000-0002-3953-8815 surname: Peng fullname: Peng, Yihuan organization: School of Geographical Sciences, Guangzhou University, Guangzhou, China – sequence: 2 givenname: Xuetong orcidid: 0000-0002-1261-7003 surname: Xie fullname: Xie, Xuetong email: xtxie2013@163.com organization: School of Geographical Sciences, Guangzhou University, Guangzhou, China – sequence: 3 givenname: Mingsen surname: Lin fullname: Lin, Mingsen organization: National Satellite Ocean Application Service, Beijing, China – sequence: 4 givenname: Cuihong orcidid: 0000-0002-9909-5446 surname: Pan fullname: Pan, Cuihong organization: School of Geographical Sciences, Guangzhou University, Guangzhou, China – sequence: 5 givenname: Haitao orcidid: 0000-0001-7274-5798 surname: Li fullname: Li, Haitao organization: School of Geographical Sciences, Guangzhou University, Guangzhou, China |
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SubjectTerms | Accuracy Backscatter Backscattering Coefficients Fourier series geophysical model function (GMF) Independent variables Model accuracy Ocean surface Ocean temperature Radar measurements Retrieval Satellites Scatterometers Sea surface Sea surface temperature SST Surface wind Vertical polarization Weather forecasting Wind Wind effects wind field retrieval Wind speed |
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Title | A Modeling Study of the Impact of the Sea Surface Temperature on the Backscattering Coefficient and Wind Field Retrieval |
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