| Seminar: |
CPS Seminar
|
| Date: |
2019 Aug 26 (Mon) 15:00-
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| Room: |
CPS Conference Room
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| Speaker: |
MAEJIMA, Yasumitsu (Research associate, Research Center for RIKEN, Center for Computational Science)
|
| Title: |
Impacts of dense and frequent surface observations on predicting severe rainfalls
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| Abstract: |
To investigate the impact of dense and frequent surface observations on severe rainfall events, we perform a series of data assimilation (DA) experiments using the Local Ensemble Transform Kalman Filter (LETKF) with the regional NWP model. This study suggests that the dense and frequent surface DA have a potential to improve the forecast accuracy for severe rainfall events.
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| Keywords: |
Data assimilation, Meso-scale meteorology
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| Organizer: |
HAYASHI Yoshi-Yuki
|
