 |
| Titel |
Assessment of Forecast Sensitivity to Observation and Its Application to Satellite Radiances Assessment |
| VerfasserIn |
Kayo Ide, David Grofff |
| Konferenz |
EGU General Assembly 2017
|
| Medientyp |
Artikel
|
| Sprache |
en
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250152243
|
| Publikation (Nr.) |
 EGU/EGU2017-17056.pdf |
|
|
|
|
|
| Zusammenfassung |
| The Forecast sensitivity to observation provides practical and useful metric for the estimation of observation impact without conducting computationally intensive data denial experiments. Quite often complex data assimilation systems use a simplified version of the forecast sensitivity formulation based on ensembles. In this talk, we first present the comparison of forecast sensitivity for 4DVar, Hybrid-4DEnVar, and 4DEnKF with or without such simplifications using a highly nonlinear model. We then present the results of ensemble forecast sensitivity to satellite radiance observations for Hybrid-4DEnVart using NOAA’s Global Forecast System. |
|
|
|
|
|
|