The importance of simulated errors in observing system simulation experiments
Observing System Simulation Experiments (OSSEs) for numerical weather prediction rely on simulated observations that should include simulated observation errors in order to realistically represent the behaviour of real data. Real observations include many types of error, such as instrument error, re...
Guardado en:
Autores principales: | Nikki C. PrivÉ, Ronald M. Errico, Will McCarty |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Taylor & Francis Group
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/b0e9ff9bf69a4bc7b6b14da9676d8281 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A preliminary assessment of the value and impact of multiple configurations of constellations of EON-MW, a proposed 12U microwave sounder CubeSat for global NWP
por: Yan Zhou, et al.
Publicado: (2021) -
Radiosonde comparison of ERA5 and ERA-Interim reanalysis datasets over tropical oceans
por: Meri Virman, et al.
Publicado: (2021) -
Scientific methods, media coverage, public awareness and climate change
por: A. Hannachi, et al.
Publicado: (2021) -
Some quantitative characteristics of error covariance for Kalman filters
por: Wei Kang, et al.
Publicado: (2021) -
Eigenvector-spatial localisation
por: Travis Harty, et al.
Publicado: (2021)