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  1. Article

    Open Access

    Construction of a meteorological application system based on BDS ground-based augmentation network and water vapor products validation

    The national Beidou Navigation Satellite System (BDS) ground-based augmentation network (BGAN) of China is constructed with the existing GNSS observation resources of industrial sectors and local governments, ...

    Mingbin Du, Yunchang Cao, Hong Liang, Heng Hu, Haishen Wang, Shuli Song in GPS Solutions (2024)

  2. No Access

    Article

    The Tibetan Plateau Surface-Atmosphere Coupling System and Its Weather and Climate Effects: The Third Tibetan Plateau Atmospheric Science Experiment

    The Tibetan Plateau (TP) is a key area affecting forecasts of weather and climate in China and occurrences of extreme weather and climate events over the world. The China Meteorological Administration, the Nat...

    ** Zhao, Yueqing Li, Xueliang Guo, **angde Xu in Journal of Meteorological Research (2019)

  3. No Access

    Article

    Tropospheric wet refractivity tomography based on the BeiDou satellite system

    This paper presents a novel approach for assessing the precision of the wet refractivity field using BDS (BeiDou navigation satellite system) simulations only, GPS, and BDS+GPS for the Shenzhen and Hongkong GN...

    **aoying Wang, **anliang Wang, Ziqiang Dai, Fuyang Ke in Advances in Atmospheric Sciences (2014)

  4. No Access

    Article

    Analysis of the weighted mean temperature of china based on sounding and ECMWF reanalysis data

    Weighted mean temperature (T m) is one of the most important conversion parameters for calculating precipitable water vapor by the signal path wet delay in ground-based GPS meteorology. Th...

    **aoying Wang 王晓英, Lianchun Song 宋连春, Yunchang Cao 曹云昌 in Acta Meteorologica Sinica (2012)

  5. No Access

    Article

    Wet refractivity tomography with an improved Kalman-Filter method

    An improved retrieval method, which uses the solution with a Gaussian constraint as the initial state variables for the Kalman Filtering (KF) method, was developed to retrieve the wet refractivity profiles fro...

    Yunchang Cao 曹云昌, Yongqi Chen 陈永奇, **wha Li **炳华 in Advances in Atmospheric Sciences (2006)