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    • High-dynamic node-parameterized water vapor tomography modeling for subtropical regions: A case study of Hunan province

    • Hunan Province is located in the subtropical monsoon humid climate zone, where severe convection, rainstorm and other disastrous weather occur frequently. Accurate monitoring of the highly dynamic atmospheric water vapor field is of great significance for extreme weather early warning in this region, but this is usually constrained by the inadequacy of the time resolution of traditional water vapor tomography technology. This paper introduces its research progress in the field of highly dynamic atmospheric water vapor monitoring. The team has established a two-step method system of highly dynamic node parameterized water vapor tomography. By introducing an adaptive update of the water vapor vertical change parameter optimization design matrix, and using a two-step reconstruction strategy of 30 minute linear trend term and 5 minute high-frequency deviation term, it provides a solution to the problem of high-resolution three-dimensional water vapor field monitoring in the subtropical water vapor high dynamic change region. Programme.
      • role:First author第一作者
      • Affiliation:

        School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

      • Email:yeary124@csu.edu.cn
      • Introduction:陈必焰,研究方向为GNSS气象学。E-mail: yeary124@csu.edu.cn

      CHEN Biyan

      1,
      • Affiliation:

        School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

        Beidou High-precision Satellite Navigation and Location Service Hunan Engineering Research Center, Changsha 410018, China

      HUANG Ning

      12,
      • Affiliation:

        Hunan Province Mapping and Science and Technology Investigation Institute, Changsha 410018, China

      JIN Wenping

      3,
      • Affiliation:

        Hunan Province Mapping and Science and Technology Investigation Institute, Changsha 410018, China

      CHEN Chunhua

      3
    • Vol. 30, Issue 5, Pages: 1289-1306(2026)  
    • DOI:10.11834/jrs.20264341    

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