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Assimilating Precipitation Data via full-hydrometeor scheme in WRF 4D-Var for Convective Precipitation Forecast Associated with the Northeast Cold Vortex
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  • Sen Yang,
  • Deqin Li,
  • Yunxia Duan,
  • Yongsheng Chen,
  • Zhiquan Liu,
  • Xiang-Yu Huang
Sen Yang
Institute of Atmospheric Environment
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Deqin Li
Institute of Atmospheric Environment, CMA

Corresponding Author:[email protected]

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Yunxia Duan
Shenyang Atmospheric Environment Research Institute, China Meteorological Administration
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Yongsheng Chen
York University
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Zhiquan Liu
National Center for Atmospheric Research (UCAR)
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Xiang-Yu Huang
Institute of Urban Meteorology, CMA
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Abstract

The full-hydrometeor four-dimensional variational (4D-Var) assimilation scheme in the Weather Research and Forecasting (WRF) model, based on the WRF single-moment 6-class microphysics scheme (WSM6), is utilized to assimilate precipitation data. The focus is on short-term convective precipitation forecasts influenced by the Northeast cold vortex (NCCV). Four assimilation experiments were designed to compare the warm rain scheme with the full-hydrometeor scheme, as well as to examine the differences between assimilating hourly surface rain gauge data and multi-source integrated precipitation products. Ten cases of intense convective precipitation related to NCCV were analyzed. The results demonstrate that the initial analysis of ice-phase hydrometeors was satisfactory across the three experiments utilizing the full-hydrometeor 4D-Var schemes. The assimilation of precipitation data full-hydrometeor scheme in WRF 4D-Var effectively adjusted atmospheric thermodynamic properties and decreased model spin-up time, leading to improved precipitation forecasts, especially for the 0-3 hour period. Furthermore, the assimilation of rain gauge data or multi-source integrated precipitation data has been demonstrated to be an effective approach for enhancing the accuracy of weather forecasts.
12 Sep 2024Submitted to ESS Open Archive
17 Sep 2024Published in ESS Open Archive