双月刊

ISSN 1006-9895

CN 11-1768/O4

卫星微波高层探测通道定标精度评估
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作者单位:

1.国家卫星气象中心;2.中国气象局地球系统数值预报中心

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基金项目:

国家重点研发计划项目


Calibration evaluation of satellite microwave sounding with channels at upper atmosphere
Author:
Affiliation:

National Satellite Meteorological Center

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    摘要:

    全球/区域数值预报同化系统所需要的重要资料来源之一是卫星微波遥感的亮温数据。微波遥感仪器的高层大气(平流层中上部)探测通道亮温的定标精度,受多种因素影响,存在一定的偏差。由于高层大气高精度探测资料相对比较匮乏,因此对微波遥感的高层大气亮温的精度检验评估成为重要研究内容。本文对在轨运行的微波温度遥感器AMSU-A、ATMS 和FY-3D MWTS-2在2020年观测数据进行了定标精度检验评估,综合使用了三种评估方法进行了较为全面的分析,即基于掩星资料、再分析资料的辐射传输模拟比较和同类仪器交叉定标比较。三种检验评估方法从不同角度揭示了各仪器高层大气探测通道观测资料的误差特征,分析了对比误差的可能来源。三种评估方案给出的高层通道亮温的偏差存在差异,但基本结果变化趋势是一致的,即高层通道相比中低层通道,存在较大的噪音。除了交叉定标方法,其它两种方法都检验出了高层资料偏差的季节变化;整体而言,AMSU-A表现要优于MWTS-2和ATMS。本研究评估的高层亮温偏差的时间、空间变化特征可为微波高层大气资料的同化、气候应用提供参考。

    Abstract:

    Satellite microwave remote sensing data is one of the most important data required by global/regional assimilation system. The brightness temperatures of the upper atmosphere (middle and upper stratosphere) from microwave remote sensing are affected by many factors, and have certain errors. The accuracy evaluation of microwave remote sensing of the upper atmosphere has become an important research content due to the relatively lack of high-accuracy sounding data of the upper atmosphere. In this paper, the accuracy of the observation data of the on-orbit microwave temperature radiometers like AMSU-A、ATMS and FY-3D MWTS-2 is examined and evaluated in 2020. Three evaluation methods, i.e., comparison with radio occultation observation, with radiation transfer simulation and with cross calibration, are comprehensively used for the analysis. From different aspects, the three approaches reveal the error characteristics of the data at the upper atmosphere from various instruments, and the possible sources of the errors are analyzed. The specific deviation values of the brightness temperatures of the high-level channels are different from the three evaluation schemes, but the basic trend of the variation are consistent, that is, the high-level channels have greater noise than the middle and low level channels. In addition to the cross calibration method, the other two methods show the seasonal variation of the deviation. On the whole, AMSU-A performs better than MWTS-2 and ATMS. The temporal and spatial variation characteristics of brightness temperature accuracy at the upper atmosphere can provide reference for microwave data assimilation and climate application.

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历史
  • 收稿日期:2022-11-07
  • 最后修改日期:2023-07-11
  • 录用日期:2023-12-08
  • 在线发布日期: 2024-01-15
  • 出版日期: