FY-3D星微波湿温探测仪通道响应函数的影响分析
Effect analysis of spectral response function of microwave humidity and temperature sounder onboard the FY-3D satellite
- 2023年27卷第2期 页码：394-405
纸质出版日期： 2023-02-07
DOI： 10.11834/jrs.20220450
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摘要
微波湿温探测仪（MWHTS）的通道响应函数（SRF）一般被认为近似于矩形函数，然而从实际SRF的测试数据来看，MWHTS各个频段不同通道的SRF存在一定的带内波动。本文利用大气辐射传输模拟器（ARTS）模拟了MWHTS中118 GHz各通道不同场景的亮温谱，并输入至前期建立的MWHTS系统仿真模型中，通过定标得到了仪器的输出亮温，进而评估实测SRF对亮温测量及其反演的大气温度廓线的影响，并利用卫星实测数据进行了对比验证。结果表明，亮温偏差与实际SRF的带内波动呈现线性正相关的关系，当带内波动大于3 dB时，亮温偏差可以达到0.2—0.5 K。SRF的带内波动会造成大气温度廓线反演误差，特别是在高度为1.8 km时，误差最大可以达到0.8—0.9 K，该仿真结果与卫星实测数据结果一致。因此在使用数据同化方法对数值天气预报（NWP）进行模拟时，需要特别注意具有较大SRF带内波动的通道所引起的亮温偏差，这对于未来卫星数据的应用具有重要的研究价值。
Abstract
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.
关键词
遥感风云三号气象卫星D星微波湿温探测仪通道响应函数亮温偏差温度廓线反演
Keywords
remote sensingFY-3D meteorological satellitemicrowave humidity and temperature sounderspectral response functionbrightness temperature biasretrieval of temperature profiles
references
Bormann N, Fouilloux A and Bell W. 2013. Evaluation and assimilation of ATMS data in the ECMWF system. Journal of Geophysical Research: Atmospheres, 118(23): 12970-12980 [DOI: 10.1002/2013JD020325http://dx.doi.org/10.1002/2013JD020325]
Duan Y Q. 2020. Research on Simulation of Signal Transmission Model and Indicators of Microwave Radiometer System. Beijing: University of Chinese Academy of Sciences (National Space Science Center, Chinese Academy of Sciences): 72-81
) (段永强. 2020. 微波辐射计系统的信号传递模型及性能指标的仿真研究. 北京: 中国科学院大学(中国科学院国家空间科学中心): 72-81
Duan Y Q, Wang Z Z and Zhang S W. 2020. Modeling and simulating of microwave humidity and temperature sounder onboard the FY-3(D) satellite. Journal of Electronics and Information Technology, 42(6): 1549-1556
) (段永强, 王振占, 张升伟. 2020. 风云三号(D)气象卫星微波湿温度计系统建模和仿真. 电子与信息学报, 42(6): 1549-1556 [DOI: 10.11999/JEIT190507http://dx.doi.org/10.11999/JEIT190507]
He J Y, Zhang S W and Wang Z Z. 2015. Advanced Microwave Atmospheric Sounder (AMAS) channel specifications and T/V calibration results on FY-3C satellite. IEEE Transactions on Geoscience and Remote Sensing, 53(1): 481-493 [DOI: 10.1109/TGRS.2014.2324173http://dx.doi.org/10.1109/TGRS.2014.2324173]
He Q R. 2017. Study on retrieving the atmospheric temperature and humidity profiles from measurements of microwave humidity and temperature sounder on FY-3C Satellite. Beijing: University of Chinese Academy of Sciences (National Space Science Center, Chinese Academy of Sciences): 33-40
) (贺秋瑞. 2017. FY-3C卫星微波湿温探测仪反演大气温湿廓线研究. 北京: 中国科学院大学(中国科学院国家空间科学中心): 33-40
He Q R, Wang Z Z and He J Y. 2016. Bias correction for retrieval of atmospheric parameters from the microwave humidity and temperature sounder onboard the Fengyun-3C satellite. Atmosphere, 7(12): 156 [DOI: 10.3390/atmos7120156http://dx.doi.org/10.3390/atmos7120156]
He Q R, Wang Z Z and HE J Y. 2017. Retrieval of clear sky temperature and humidity profiles over land using measurements of FY-3C/MWHTS. Journal of Remote Sensing, 21(1): 27-39
贺秋瑞, 王振占, 何杰颖. 2017. FY-3C/MWHTS资料反演陆地晴空大气温湿廓线. 遥感学报, 21(1): 27-39 [DOI: 10.11834/jrs.20176006http://dx.doi.org/10.11834/jrs.20176006]
Jarnot R F, Cofield R E, Waters J W, Flower D A and Peckham G E. 1996. Calibration of the microwave limb sounder on the upper atmosphere research satellite. Journal of Geophysical Research: Atmospheres, 101(D6): 9957-9982 [DOI: 10.1029/95JD03792http://dx.doi.org/10.1029/95JD03792]
Kaisti M, Altti M and Poutanen T. 2016. Radiometric resolution analysis and a simulation model. Remote Sensing, 8(2): 85 [DOI: 10.3390/rs8020085http://dx.doi.org/10.3390/rs8020085]
Kim E, Lyu C H J, Anderson K, Leslie R V and Blackwell W J. 2014. S-NPP ATMS instrument prelaunch and on-orbit performance evaluation. Journal of Geophysical Research: Atmospheres, 119(9): 5653-5670 [DOI: 10.1002/2013JD020483http://dx.doi.org/10.1002/2013JD020483]
Liang X M, Ignatov A and Kihai Y. 2009. Implementation of the community radiative transfer model in advanced clear-sky processor for oceans and validation against nighttime AVHRR radiances. Journal of Geophysical Research: Atmospheres, 114(D6): D06112 [DOI: 10.1029/2008JD010960http://dx.doi.org/10.1029/2008JD010960]
Mo T. 1996. Prelaunch calibration of the advanced microwave sounding unit-A for NOAA-K. IEEE Transactions on Microwave Theory and Techniques, 44(8): 1460-1469 [DOI: 10.1109/22.536029http://dx.doi.org/10.1109/22.536029]
Moradi I, Goldberg M, Brath M, Ferraro R, Buehler S A, Saunders R and Sun N H. 2020. Performance of radiative transfer models in the microwave region. Journal of Geophysical Research: Atmospheres, 125(6): e2019JD031831 [DOI: 10.1029/2019JD031831http://dx.doi.org/10.1029/2019JD031831]
Saunders R W, Hewison T J, Stringer S J and Atkinson N C. 1995. The radiometric characterization of AMSU-B. IEEE Transactions on Microwave Theory and Techniques, 43(4): 760-771 [DOI: 10.1109/22.375222http://dx.doi.org/10.1109/22.375222]
Wang Z Z, Li J Y, He J Y, Zhang S W, Gu S Y, Li Y, Guo Y and He B Y. 2019. Performance analysis of microwave humidity and temperature sounder onboard the FY-3D satellite from prelaunch multiangle calibration data in thermal/vacuum test. IEEE Transactions on Geoscience and Remote Sensing, 57(3): 1664-1683 [DOI: 10.1109/TGRS.2018.2868324http://dx.doi.org/10.1109/TGRS.2018.2868324]
Weng F Z, Zou X L, Sun N H, Yang H, Tian M, Blackwell W J, Wang X, Lin L and Anderson K. 2013. Calibration of Suomi national polar-orbiting partnership advanced technology microwave sounder. Journal of Geophysical Research: Atmospheres, 118(19): 11187-11200 [DOI: 10.1002/jgrd.50840http://dx.doi.org/10.1002/jgrd.50840]
Zhang S W, Li J, Jiang J S, Sun M H and Wang Z Z. 2008. Design and development of Microwave Humidity Sounder for FY-3 meteorological satellite. Journal of Remote Sensing, 12(2): 199-207
张升伟, 李靖, 姜景山, 孙茂华, 王振占. 2008. 风云3号卫星微波湿度计的系统设计与研制. 遥感学报, 12(2):199-207 [DOI: 10.11834/jrs.20080226http://dx.doi.org/10.11834/jrs.20080226]
Zhang S W, Wang Z Z, Sun M H, He B Y and Jiang J S. 2013 The design and development of advanced microwave atmospheric sounder onboard FY-3 satellite. Engineering Sciences, 15(7): 81-87
张升伟, 王振占, 孙茂华, 何宝宇, 姜景山. 2013. 风云三号卫星先进微波大气探测仪系统设计与研制. 中国工程科学, 15(7): 81-87 [DOI: 10.3969/j.issn.1009-1742.2013.07.012http://dx.doi.org/10.3969/j.issn.1009-1742.2013.07.012]
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中国科学院空天信息创新研究院
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北京师范大学 地理科学学部 遥感科学与工程研究院
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