Assessing the Accuracy of 3D-VAR in Supercell Thunderstorm Forecasting: A Regional Background Error Covariance Study

Assessing the Accuracy of 3D-VAR in Supercell Thunderstorm Forecasting: A Regional Background Error Covariance Study

Data assimilation (DA) integrates observational data with numerical weather predictions to enhance weather forecast accuracy. This study evaluates three regional background error (BE) covariance statistics for numerical weather prediction (NWP) via a variational data assimilation (VAR) scheme. The b...

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Bibliographic Details
Main Authors: Ioannis Samos, Petroula Louka, Helena Flocas
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Atmosphere
Subjects:
background error statistics
convection
data assimilation
numerical weather prediction
supercell
surface observations
Online Access:https://www.mdpi.com/2073-4433/14/11/1611

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