Initial Performance of the Haiyang-2b Scanning Microwave Radiometer

The HaiYang-2B(HY-2B) satellite was successfully launched in October 2018. A multichannel scanning microwave radiometer (SMR) was carried for measuring sea surface temperature(SST), sea surface wind speed (SSW), total water vapor (TWV) and cloud liquid water (CLW) content. In this paper, the initial...

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Bibliographic Details
Published inIGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium pp. 8917 - 8920
Main Authors Liu, ShuBo, Jin, Xv, Zhou, Wu, Wang, XiaoNing, Yv, Rui, Li, YanMing, Dang, HongXing, Tan, XiaoMin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2019
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Summary:The HaiYang-2B(HY-2B) satellite was successfully launched in October 2018. A multichannel scanning microwave radiometer (SMR) was carried for measuring sea surface temperature(SST), sea surface wind speed (SSW), total water vapor (TWV) and cloud liquid water (CLW) content. In this paper, the initial performance of SMR is evaluated with one month's measured data. The comparisons between the brightness temperature of SMR and that of model and GMI indicate that the measurements of SMR are in good agreement with the results of model and GMI at low frequency. Besides, the contrast between SMR and SSMIS at Sahara Desert and Antarctic ice sheet, and the analysis for the measurements of cold and heat source infer that the measurements at high frequency is valid and accurate. In order to assess the measurements of SMR globally, all the four parameters are retrieved with in-situ statistical regression algorithm and validated with the WindSat gridded products. The RMSE of SST, SSW, TWV, CLW is 0.80 °C, 0.7mmss, 0.86mm and 0.03mm, respectively, which are far better than the required accuracy. In future, with the accumulation of data acquired from SMR, the new precise correction for data and the comparison to the in-situ Argo, buoy and sonde measurements will be made. It is expectable that the accuracy will be further improved.
ISSN:2153-7003
DOI:10.1109/IGARSS.2019.8898014