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...
Guardado en:
Autores principales: | Shibo Gao, Ningzhu Du, Jinzhong Min, Haiqiu Yu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Taylor & Francis Group
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/275c095559444d7584ce591d4e9e5813 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
An anisotropic formulation of the parametric Kalman filter assimilation
por: Olivier Pannekoucke
Publicado: (2021) -
Using global Bayesian optimization in ensemble data assimilation: parameter estimation, tuning localization and inflation, or all of the above
por: Spencer Lunderman, et al.
Publicado: (2021) -
Eigenvector-spatial localisation
por: Travis Harty, et al.
Publicado: (2021) -
Scientific methods, media coverage, public awareness and climate change
por: A. Hannachi, et al.
Publicado: (2021) -
The importance of simulated errors in observing system simulation experiments
por: Nikki C. PrivÉ, et al.
Publicado: (2021)