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...
שמור ב:
| Principais autores: | , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Copernicus Publications
2026-01-01
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| סדרה: | Nonlinear Processes in Geophysics |
| גישה מקוונת: | https://npg.copernicus.org/articles/33/1/2026/npg-33-1-2026.pdf |
| תגים: |
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