سابِق|تال

Retrieval of clear sky temperature and humidity profiles over land using measurements of FY-3C/MWHTS

  • 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

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：heqiurui@126.com
  • Introduction：贺秋瑞(1986— )，男，博士生，现从事星载微波辐射计数据处理与应用研究。E-mail：heqiurui@126.com
HE Qiurui12,  
  • 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

  • Email：wangzhenzhan @mirslab.cn
  • Introduction：王振占(1969—    )，男，研究员，现从事全极化微波辐射测量技术、定标和应用基础研究等。E-mail：wangzhenzhan @mirslab.cn
WANG Zhenzhan1*,  
  • Affiliation：

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

HE Jieying1

ملخص

Land surface emissivity has a significant effect on the atmospheric temperature and humidity sounding from space. Given the complicated land surface, the calculated emissivity is generally with low accuracy. A one-dimensional variational retrieval system was built using measurements of microwave humidity and temperature sounder onboard the Fengyun-3C satellite (FY-3C/MWHTS)to improve retrieval accuracy and to reduce the computation complexity in retrieving atmospheric temperature and humidity profiles over land under clear sky.By analyzing the a priori information affecting the accuracy of inversion, a hybrid retrieval approach based on united and individual matrices of background covariance is proposed. The method established a better correlation relationship between temperature and humidity profiles, reduced the error propagation of the retrieval temperature and humidity, and prevented the complicated land emissivity calculations according to different surface types. From the correlation between the observed values from FY-3C/MWHTS and those simulated by the forward radiative transfer model, a statistical regression method was also adapted in pixel-by-pixel correction procedure to correct the bias between observed and simulated values.This retrieval system obtains temperature and humidity profiles over a part of China’s land under clear sky and validates the retrieval results with respect to the European Centre for Medium-Range Weather Forecasts(ECMWF) reanalysis data, National Centers for Environmental Prediction(NCEP) analysis data, and Radiosonde Observation(RAOB) data. With respect to the ECMWF reanalyzed data, the maximum root mean square errors of the resulting temperature and relative humidity are 2.59 K and 11.87%, respectively. With respect to the NCEP analyzed data, the maximum root mean square errors of the resulting temperature and relative humidity are 1.88 K and 21.50%, respectively. With respect to the RAOB data, the maximum root mean square errors of the resulting temperature and relative humidity are 3.43 K and 25.48%, respectively. The comparison of the retrieval results with those measured by AMSU using the physical and statistical retrieval methods shows that the MWHTS has higher accuracy. The comparison of the retrieval results with the NCEP 6 h forecast profiles shows that the retrieval humidity profiles can improve the accuracy of the forecast profiles, particularly in the upper atmosphere.The proposed hybrid approach using the united and individual matrices of background covariance can provide satisfactory retrieval accuracy, although land emissivity is calculated without classifying the surface types in the retrieval system built in this study. The retrieval system, whose retrieval results are evaluated by root mean square errors with respect to the three data sources, has high accuracy and high reliability. The comparison of the retrieval results with the measurements of AMSU indicates that MWHTS has a greater ability to probe the temperature in the upper atmosphere and humidity in the entire atmosphere. The comparison of the retrieval results with the NCEP 6 h forecast profiles indicates that MWHTS can obtain high-quality data for sounding atmosphere and is of significance to numerical weather prediction radiance assimilation.

مفهوم

Microwave Humidity and Temperature Sounder (MWHTS);one-dimensional variational retrieval;temperature and humidity profiles;pixel by pixel correction;forecast profiles

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