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Effect analysis of spectral response function of microwave humidity and temperature sounder onboard the FY-3D satellite

  • role： First author第一作者
  • Affiliation：

    Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

  • Email：wangzhenzhan@mirslab.cn
  • Introduction：王振占，研究方向为微波遥感定标、定量反演与应用技术。E-mail： wangzhenzhan@mirslab.cn
WANG Zhenzhan1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：xuhaowen1223@163.com
  • Introduction：许皓文，研究方向为微波遥感定标、高速数字谱仪的理论与应用。E-mail： xuhaowen1223@163.com
XU Haowen12*,  
  • Affiliation：

    Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

    University of Chinese Academy of Sciences, Beijing 100049, China

DUAN Yongqiang12,  
  • Affiliation：

    Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

    University of Chinese Academy of Sciences, Beijing 100049, China

WANG Wenyu12,  
  • Affiliation：

    Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

    University of Chinese Academy of Sciences, Beijing 100049, China

DING Jia12,  
  • Affiliation：

    Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

    University of Chinese Academy of Sciences, Beijing 100049, China

HE Wenming12,  
  • Affiliation：

    Key Laboratory of Microwave Remote Sensing, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

ZHANG Shengwei1

Resümee

The shapes of the channel Spectral Response Function (SRF) of Microwave Humidity and Temperature Sounders (MWHTS) are generally considered to be approximately rectangular. However, the SRF of each band channel of MWHTS shows certain in-band fluctuations based on the actual SRF test data. In this paper, the brightness temperature spectra of different scenarios for each channel at 118 GHz of MWHTS are simulated using an Atmospheric Radiative Transfer Simulator (ARTS). After inputting them into the MWHTS system simulation model we established in the previous stage, the output brightness temperature of the instrument is obtained after calibration, the influences of actual SRF on brightness temperature measurements and the retrievals of atmospheric temperature profiles are evaluated, and comparisons are further made with the actual satellite data of MWHTS in FY-3D to verify the results. The results show that the brightness temperature bias is linearly and positively correlated with the in-band fluctuations of SRF. The bias can reach 0.2—0.5 K in the 118 GHz channel when the actual SRF in-band fluctuations are larger than 3 dB. The in-band fluctuations of SRF will cause retrieval errors in the atmospheric temperature profiles, especially at an altitude of 1.8 km, where the retrieval error can reach the maximum value of 0.8—0.9 K. The simulation results are consistent with the results of the actual satellite data, so special attention needs to be paid to the bias in the simulated brightness temperature of the channels with large SRF fluctuations in applying simulations for Numerical Weather Prediction (NWP) using data assimilation methods, which has important research value for the future application of satellite data.

Schlüsselwort

remote sensing;FY-3D meteorological satellite;microwave humidity and temperature sounder;spectral response function;brightness temperature bias;retrieval of temperature profiles

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