Bulletin of Surveying and Mapping ›› 2021, Vol. 0 ›› Issue (4): 52-59.doi: 10.13474/j.cnki.11-2246.2021.0110

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Construction on atmospheric weighted mean temperature model over the Tibetan Plateau

SHI Lingfan1, WANG Ping1, HUANG Liangke2,3,4   

  1. 1. State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing 100029, China;
    2. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China;
    3. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541004, China;
    4. GNSS Research Center, Wuhan University, Wuhan 430079, China
  • Received:2020-06-05 Online:2021-04-25 Published:2021-04-30

Abstract: The weighted average temperature (Tm) is a key parameter that converts the zenith wet delay into atmospheric precipitation. According to the characteristics of high altitude, high terrain fluctuation, and complicated distribution of water vapor in the Tibetan Plateau, this paper uses the GGOS Atmosphere Tm grid from 2010 to 2014 net data and surface elevation data to establish a Tm vertical decline rate function, and then establishes a new model (QTm model) suitable for the Tibet Plateau region that changes in Tm vertical decline rate is taked into account. In addition, the accuracy and applicability of the model are evaluated using 14 radiosonde stations and GGOS Atmosphere Tm grid data from the Tibet Plateau in 2015. The results show that compared with GGOS Atmosphere Tm, the average annual Bias and RMSE of the QTm model are 0.29 and 2.49 K. Compared with the GPT2w-1 and GPT2w-5 models, the RMSE increases by 38.97% and 67.06%. In comparison, the annual average Bias and RMSE of the QTm model are 0.16 and 2.90 K, which are 31.12% and 39.46% higher than GPT2w-1 and GPT2w-5 respectively. The construction of the new model provides a reliable Tm value for the Tibet Plateau region, and thus provides real-time, high-precision GNSS water vapor information.

Key words: Tibetan Plateau, QTm model, GGOS, radiosonde stations, GNSS precipitable water vapor

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