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
收稿：2020-10-13，
纸质出版：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
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相关作者
王振占 中国科学院国家空间科学中心 中国科学院微波遥感技术重点实验室
许皓文 中国科学院国家空间科学中心 中国科学院微波遥感技术重点实验室;中国科学院大学
段永强 中国科学院国家空间科学中心 中国科学院微波遥感技术重点实验室;中国科学院大学
王文煜 中国科学院国家空间科学中心 中国科学院微波遥感技术重点实验室;中国科学院大学
丁甲 中国科学院国家空间科学中心 中国科学院微波遥感技术重点实验室;中国科学院大学
何文明 中国科学院国家空间科学中心 中国科学院微波遥感技术重点实验室;中国科学院大学
张升伟 中国科学院国家空间科学中心 中国科学院微波遥感技术重点实验室
杨云杰 西南交通大学 地球科学与工程学院
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西南交通大学 地球科学与工程学院
中国气象局成都高原气象研究所
上海师范大学 环境与地理科学学院
上海长三角城市湿地生态系统国家野外科学观测研究站
中国科学院空天信息创新研究院数字地球重点实验室
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