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http://hdl.handle.net/2080/5401Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ali, Imamah | - |
| dc.contributor.author | Osuri, Krishna Kishore | - |
| dc.date.accessioned | 2025-12-11T12:51:07Z | - |
| dc.date.available | 2025-12-11T12:51:07Z | - |
| dc.date.issued | 2025-11 | - |
| dc.identifier.citation | International Symposium on Tropical Meteorology (INTROMET), IITM, Pune, 18-20 November 2025 | en_US |
| dc.identifier.uri | http://hdl.handle.net/2080/5401 | - |
| dc.description | Copyright belongs to the proceeding publisher. | en_US |
| dc.description.abstract | Monsoon depressions (MDs) are the significant synoptic systems over the Indian monsoon region, accounting for a substantial fraction (two-thirds) of the seasonal rainfall and associated hazards. Despite their importance, systematic evaluations of MD structure in high-resolution NWP models remain limited. Here, we simulated ten MD cases using an ARW-WRF model (resolution d01 : 13.5, d02 : 4.5 km nested domains) and evaluated storm-centric composites against ERA5 reanalysis and GPM across 24–60 h lead times. Track and rainfall errors are modest at early lead times and increase gradually with forecast length; track deviations rise slowly with time, while rainfall skill degrades from 24 to 60 hours, with strong overprediction near the storm center, weakening outward with a negative bias on the southern flank. Near-surface (10 m) winds remain nearly unbiased for about two days; uncertainty increases at longer lead times. Despite these errors, the model still reproduces the canonical MD structure, including the low-level cyclonic circulation, cold-to-warm core transition, and 850-hPa wind field. | en_US |
| dc.subject | Monsoon depressions | en_US |
| dc.subject | ARW-WRF model | en_US |
| dc.title | Analysis of the Structure and Dynamics of Monsoon Depression using High Resolution ARW-WRF Model | en_US |
| dc.type | Presentation | en_US |
| Appears in Collections: | Conference Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2025_INTROMET_IAli_Analysis.pdf | Poster | 2.66 MB | Adobe PDF | View/Open Request a copy |
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