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

    • “The research team from Hunan University proposed a two-step method for high dynamic node parameterized water vapor chromatography, which reconstructs the linear trend term of the water vapor field over a long period of 30 minutes; The second step is to further invert the high-frequency deviation term within a 5-minute short period based on the modeling residuals from the first step, thereby achieving accurate reconstruction with high spatiotemporal resolution, providing a new tool for extreme weather warning.”
      • 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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