Impact of assimilating radar data using a hybrid 4DEnVar approach on prediction of convective events
This study developed a hybrid four-dimensional (4D) ensemble–variational (4DEnVar) radar data assimilation (DA) system for the Weather Research and Forecasting model. The 4DEnVar approach incorporated ensemble covariances at multiple time levels to assimilate observations distributed in the assimila...
Main Authors: | Shibo Gao, Ningzhu Du, Jinzhong Min, Haiqiu Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
Stockholm University Press
2021-01-01
|
Series: | Tellus: Series A, Dynamic Meteorology and Oceanography |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/16000870.2021.1903770 |
Similar Items
-
A Comparison of HWRF Six-Hourly 4DEnVar and Hourly 3DEnVar Assimilation of Inner Core Tail Dopper Radar Observations for the Prediction of Hurricane Edouard (2014)
by: Benjamin Davis, et al.
Published: (2021-07-01) -
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
by: Peng Liu, et al.
Published: (2021-08-01) -
Evaluation of Combined Satellite and Radar Data Assimilation with POD-4DEnVar Method on Rainfall Forecast
by: Jingnan Wang, et al.
Published: (2020-08-01) -
A Hurricane Initialization Scheme with 4DEnVAR Satellite Ozone and Bogus Data Assimilation (SOBDA) and Its Application: Case Study
by: Yin Liu
Published: (2023-05-01) -
High-resolution data assimilation through stochastic subgrid tensor and parameter estimation from 4DEnVar
by: Yin Yang, et al.
Published: (2017-01-01)