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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
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| Published in: | Nonlinear Processes in Geophysics (NPG) |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030190085079042 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Nonlinear Processes in Geophysics (NPG) |
| description | |
| discipline_display | Physical Sciences |
| discipline_facet | Physical Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:42450 |
| institution | FRELIP |
| journal_source_facet | Nonlinear Processes in Geophysics (NPG) |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | 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 Earth Sciences Earth Sciences Physical Sciences |
| sub_discipline_display | Earth Sciences |
| sub_discipline_facet | Earth Sciences |
| subject_display | Earth Sciences Earth Sciences Physical Sciences Earth Sciences Earth Sciences Physical Sciences |
| subject_facet | Earth Sciences Earth Sciences Physical Sciences |
| title | 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 |
| title_auth | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | Earth Sciences Earth Sciences Physical Sciences |
| url | https://doi.org/10.5194/npg-33-1-2026 |