Assimilating FY-4A Lightning and Radar Data for Improving Short-Term Forecasts of a High-Impact Convective Event with a Dual-Resolution Hybrid 3DEnVAR Method

Assimilating FY-4A Lightning and Radar Data for Improving Short-Term Forecasts of a High-Impact Convective Event with a Dual-Resolution Hybrid 3DEnVAR Method

A dual-resolution, hybrid, three-dimensional ensemble-variational (3DEnVAR) data assimilation method combining static and ensemble background error covariances is used to assimilate radar data, and pseudo-water vapor observations to improve short-term severe weather forecasts with the Weather Resear...

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Bibliographic Details
Main Authors: Peng Liu, Yi Yang, Anwei Lai, Yunheng Wang, Alexandre O. Fierro, Jidong Gao, Chenghai Wang
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
data assimilation
lightning and radar data
dual-resolution hybrid 3DEnVAR
convective forecast
Online Access:https://www.mdpi.com/2072-4292/13/16/3090

Internet

https://www.mdpi.com/2072-4292/13/16/3090

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