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Real-Time Gridding 3D Data by Using Four Dimensional Data Assimilation Technology: Construction and evaluation

  • Lu Chao
  • , Luo Hongyan
  • , Yang Honglong
  • , Zhang Qing
  • , Zong Rong
  • , Gao Ruiquan
  • , Liu Yuewei
  • , Liu Yubao
    • Meteorological Bureau of Shenzhen Municipality
    • National Center for Atmospheric Research

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    By using a four dimensional data assimilation technology based on the nudging method, a real-time data assimilation system with horizontal resolution of 1km was established in Shenzhen, Guangdong Province to assimilate high-density and high-frequency observation data of Shenzhen and its surrounding areas, so as to form real-time reanalysis data. The quality evaluation of real-time reanalysis data was carried out by using the ground area automatic station and vertical wind profile data, the results showed that the real-time reanalysis data obtained from the system by assimilating multi-source and high-frequency data could effectively simulated the surface and vertical temperature and wind meteorological features of Shenzhen. Based on the real-time gridded reanalysis data set, Shenzhen Meteorological Bureau (SZMB) has released the real-time data products to the public through Wechat and SZMB official website, which has played an important role in natural ventilation evaluation of urban units. The current study showed that the Shenzhen real-time grid meteorological data products could be expected to provide scientific and technological support for finer scale urban monitoring and construction.

    Original languageEnglish
    Title of host publicationProceedings of 2019 International Conference on Meteorology Observations, ICMO 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728162546
    DOIs
    StatePublished - Dec 2019
    Event2019 International Conference on Meteorology Observations, ICMO 2019 - Chengdu, China
    Duration: Dec 28 2019Dec 31 2019

    Publication series

    NameProceedings of 2019 International Conference on Meteorology Observations, ICMO 2019

    Conference

    Conference2019 International Conference on Meteorology Observations, ICMO 2019
    Country/TerritoryChina
    CityChengdu
    Period12/28/1912/31/19

    Keywords

    • Contrastive analysis
    • Real-time four dimensional data assimilation
    • Refine meshing process of meteorological data
    • WRF model

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