| 刊名 | Meteorological and Environmental Research |
| 作者 | Yan YU, Shuxuan HE*, Wan GONG, Meng HAN, Hongzhi LI, Keai YANG |
| 作者单位 | Dehong Meteorological Bureau, Mangshi 678400, China |
| DOI | 10.19547/j.issn2152-3940.2025.01.003 |
| 年份 | 2025 |
| 刊期 | 1 |
| 页码 | 10-17 |
| 关键词 | Bay of Bengal storm; First rainstorm; Heavy precipitation; Beginning date of the rainy season; Southwest monsoon; Low-level jet stream |
| 摘要 | Starting from the Bay of Bengal storm, based on conventional meteorological data, FY2G meteorological satellite data, EC fine grid data and ERA5 reanalysis data, the first rainstorm process in Dehong Prefecture in the early summer of 2024 was analyzed. The results show that the strengthening and northeastward movement of the Bay of Bengal storm "Remal" was the main influencing system for the generation of continuous heavy precipitation in Dehong Prefecture from May 25 to 27, 2024. The establishment and strengthening of the low-level southwest jet stream provided better dynamic, water vapor and energy conditions for the generation of this heavy precipitation. The generation and maintenance of rainstorm required the transportation of a steady stream of water vapor to the rainstorm area, and there was strong convergence of water vapor in the rainstorm area. Therefore, in the forecast of summer rainstorm, whether the low-level jet stream is generated or not is very important for the forecast of rainstorm. In addition, there was a good corresponding relationship between the falling area of heavy precipitation, precipitation intensity and duration, and low-level water vapor convergence area. The establishment of southwest monsoon is of great significance to the beginning date of rainy season in Dehong Prefecture. The beginning date of rainy season in Dehong Prefecture was closely related to the first rainstorm process in Dehong Prefecture in early summer. In the future prediction of the beginning date of rainy season in Dehong Prefecture, the first statewide rainstorm process in early summer should be the key point for the prediction. |
