Impact of reduced non-Gaussianity on analysis and forecast accuracy by assimilating every-30 s radar observation with ensemble Kalman filter: idealized experiments of deep convection
<p>This study investigates the impact of very high frequency data assimilation on analysis and forecast accuracy with the local ensemble transform Kalman filter for idealized deep convection. Previous studies showed that assimilating every 30 s data from Phased Array Weather Radar (PAWR) alleviates...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Copernicus Publications
2026-01-01
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| Series: | Nonlinear Processes in Geophysics |
| Acceso en liña: | https://npg.copernicus.org/articles/33/1/2026/npg-33-1-2026.pdf |
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