Comprehensive evaluations of multi-model forecast performance for “21·7” Henan extreme rainstorm
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    Abstract:

    During the “21·7” extreme rainstorm in Henan,the precipitation of mutil-model showed great differences and divergence.This paper uses multiple spatial verification methods (such as CRA,neighborhood TS score and FSS) to comprehensively evaluate the forecast performance of multiple numerical models during the “21·7” Henan extreme rainstorm process,and diagnoses the cause of model deviation from the aspects of low-level jet,water vapor convergence and thermal conditions.Results show that:(1)For the position forecast deviation of precipitation over 100 mm,the forecast performance of WARMS is the best,followed by GRAPES_3 km.When the heavy rain area predicted by RMAPS is comparable to the observation,the predicted precipitation intensity is obviously stronger,and the predicted rain area continues to appear westward compared with the observation.(2)The position deviation of 3 h cumulative precipitation predicted by GRAPES_3 km and WARMS is more manifested in the meridional direction and has large dispersion.The meridional deviation decreases obviously when the forecast time is nearer,while the zonal deviation changes slightly with the forecast time.The position forecast deviation of RMAPS is mainly manifested in the zonal direction,with 86.7%,91.3% and 72.7% of the individual forecasts of precipitation being westward from the 19th to the 21st,respectively.(3)The weak forecast of low-level jet and water vapor convergence by WARMS leads to the underestimation of precipitation intensity from 19th to 20th.The main reason for the location deviation of precipitation area is that the low-level jet predicted by EC and RMAPS is obviously westward from the 19th to 20th.MESO has a good forecast of the occurrence time and location of jet stream and water vapor convergence on the 20th,but it lacks the ability to predict extreme heavy precipitation due to the obviously weak thermal conditions.(4)On the 21st,too many easterly components of low-level jet predicted by MESO and RMAPS leads to the strong terrain increasing precipitation forecast at the steep terrain of Taihang Mountain.The wind direction of low-level jet stream forecasted by EC and WARMS is closer to the observation,but the forecast deviation of intensity and time of low-level water vapor convergence leads to the obvious meridional position deviation of individual precipitation forecast.

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栗晗,王新敏,朱枫,2022.“21·7”河南极端暴雨多模式预报性能综合评估[J].大气科学学报,45(4):573-590.
LI Han, WANG Xinmin, ZHU Feng,2022. Comprehensive evaluations of multi-model forecast performance for “21·7” Henan extreme rainstorm[J]. Trans Atmos Sci,45(4):573-590. DOI:10.13878/j. cnki. dqkxxb.20211019002

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History
  • Received:October 19,2021
  • Revised:December 01,2021
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  • Online: July 28,2022
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