A Scheme to Suppress Spurious Convection by Assimilating the "Zero" Column Maximum Vertical Velocity

Gan, Ruhui; Yang, Yi; Qiu, Xin; Liu, Peng; Wang, Xuesen; Gu, Kaiqiang

doi:10.1029/2021jd035536

Cited by 5 publications

(1 citation statement)

References 34 publications

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“…The detailed model configuration, physical parameterization schemes, and data introduction are referenced in Gan et al . (2022).…”

Section: Methods and Experimental Designmentioning

confidence: 99%

An economical assimilation scheme for radar reflectivity in non‐convective region to suppress spurious precipitation

Gan,

Yang,

et al. 2023

Quart J Royal Meteoro Soc

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Increasing convection information in initial field and weakening spurious convection information are hot topics in numerical weather prediction. How to economically assimilate radar reflectivity in the non‐convective region (NCR) is the focus of this study. This study proposes a new assimilation scheme for the two‐dimensional (2D) composite reflectivity in NCR through the ensemble square‐root filter method. A single‐column observation test and two convective cases are studied to verify the assimilation effect. Three experiments are designed for each test, including a control experiment (Exp_CTL) that only assimilates convective reflectivity and two assimilation experiments that assimilate reflectivity in NCR (one assimilates 3D weak reflectivity [Exp_RF] and the other assimilates 2D composite reflectivity [Exp_CRF]) based on the Exp_CTL. The results of real‐case studies show that the new scheme has two clear advantages. One is that it can save approximately three quarters of the assimilation workload. The other is that the new scheme has the most significant effect on weakening spurious convection and decreasing the false alarm ratios of precipitation and reflectivity.

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“…The detailed model configuration, physical parameterization schemes, and data introduction are referenced in Gan et al . (2022).…”

Section: Methods and Experimental Designmentioning

confidence: 99%

An economical assimilation scheme for radar reflectivity in non‐convective region to suppress spurious precipitation

Gan,

Yang,

et al. 2023

Quart J Royal Meteoro Soc

Self Cite

View full text Add to dashboard Cite

show abstract

Combined assimilation of radar and lightning data for the short-term forecast of severe convection system

Zhang

Chen

Xian

et al. 2023

Atmospheric Research

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Assimilation of the deep learning-corrected global forecast system fields into the regional model for improving medium-range persistent precipitation forecasts

Guo,

Yang,

Liu

2024

Atmospheric Research

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A Scheme to Suppress Spurious Convection by Assimilating the "Zero" Column Maximum Vertical Velocity

Abstract: The initial conditions in numerical weather prediction models (NWPs) play a significant role in short-term weather forecasting. Currently, radar observations (

Cited by 5 publications

References 34 publications

An economical assimilation scheme for radar reflectivity in non‐convective region to suppress spurious precipitation

An economical assimilation scheme for radar reflectivity in non‐convective region to suppress spurious precipitation

Combined assimilation of radar and lightning data for the short-term forecast of severe convection system

Assimilation of the deep learning-corrected global forecast system fields into the regional model for improving medium-range persistent precipitation forecasts

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