Spectroscopy and Spectral Analysis, Volume. 41, Issue 7, 2110(2021)

A Method for Assimilating the Raman Lidar Detecting Temperature in WRF on Simulating the Short-Time Heavy Rainfall

Bo LI1、1; 2;, Ya-zhou PU1、1;, Nan WANG3、3;, Yu-feng WANG1、1;, Hui-ge DI1、1;, Yue-hui SONG1、1;, and Deng-xin HUA1、1; *;
Author Affiliations
  • 11. School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China
  • 33. The Meteorological Observatory of Shaanxi Province, Xi'an 710014, China
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    Figures & Tables(7)
    (a) The microwave radar echo (shaded, unit: dBz) at 1200 UTC 20 July 2015, the black cross represents the location of the microwave radar, the dashed pane is the convective cloud influenced Xi'an, and the black dot is the location of lidar; (b) The atmospheric temperature profile (densely gray pane) detected by lidar, and the FNL temperature profile (black circle) in Xi'an at 1200 UTC 20 July 2015, unit: K
    The detecting points, referencing points, and interpolating points in the MQ method
    Flow chart for the coupling of MQ and WRF
    The relationship between the RMSE and c(a): 1 530 m; (b): 3 710 m
    The temperature distribution on the 49 groups of interpolated grids at 1 530 m (a) and 3 710 m (b)The black dots represent irregular observations, unit: ℃
    Qualitative comparison of rainfall during 1200 UTC—1800 UTC 20 July 2015, unit: mm(a): Observation precipitation; (b): CTRL Simulation precipitation before assimilating; (c): Simulation precipitation after assimilating the ground and sounding data; (d): Simulation precipitation after assimilating the lidar data
    • Table 1. Quantitative analysis of precipitation before and after data assimilating

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      Table 1. Quantitative analysis of precipitation before and after data assimilating

      6 h雨强
      /mm
      评分
      指标
      一次同
      化前
      一次
      同化后
      二次
      同化前
      一次
      同化
      效果
      二次
      同化
      二次
      同化
      效果
      TS0.590.660.070.710.05
      0.1~5空报率0.130.170.040.09-0.08
      漏报率0.280.19-0.090.190
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    Bo LI, Ya-zhou PU, Nan WANG, Yu-feng WANG, Hui-ge DI, Yue-hui SONG, Deng-xin HUA. A Method for Assimilating the Raman Lidar Detecting Temperature in WRF on Simulating the Short-Time Heavy Rainfall[J]. Spectroscopy and Spectral Analysis, 2021, 41(7): 2110

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    Paper Information

    Category: Research Articles

    Received: Apr. 2, 2019

    Accepted: --

    Published Online: Sep. 8, 2021

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2021)07-2110-06

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