Improving Convective Precipitation Forecasts Using Ensemble‐Based Background Error Covariance in 3DVAR Radar Assimilation System

Improving Convective Precipitation Forecasts Using Ensemble‐Based Background Error Covariance in 3DVAR Radar Assimilation System

Abstract Skillful quantitative precipitation forecast using the numerical weather prediction model relies on an accurate estimate of the atmospheric state as an initial condition. Variational assimilation methods (VAR) have the potential to provide improved initial state estimation to the numerical...

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Bibliographic Details
Main Authors: P. Thiruvengadam, J. Indu, Subimal Ghosh
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2020-04-01
Series:Earth and Space Science
Subjects:
radar
variational assimilation
background error statistics
3DVAR
NWP
ensemble forecast
Online Access:https://doi.org/10.1029/2019EA000667

Internet

https://doi.org/10.1029/2019EA000667

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