TY  - Data
T1  - U-net-based ensemble forecast precipitation dataset for the lower Yangtze River and Lower Rivers (2021-2022)
A1  - Li Lingjie
A1  - Gao Rui
DO  - 10.12072/ncdc.nhri.db6789.2025
PY  - 2025
DA  - 2025-03-27
PB  - National Cryosphere Desert Data Center
AB  - Accurate weather forecasting is an important guarantee for social development, safe operation of cities, people's lives, and defense against water and drought disasters. In recent years, despite the significant progress in numerical precipitation forecasting, the accuracy of the forecast is still affected by the uncertainty of the initial field, the limitations of the model structure and the limitations of the parameterization method, and the coarser spatial resolution also restricts its wide application in the field of meteorology and hydrology. Therefore, in this study, a statistical post-processing study was carried out based on U-net on the multi-model super ensemble data CNE of CMA, ECMWF and NCEP, and an ensemble forecast precipitation dataset was developed for the downstream of the Yangtze River and the Lower Rivers for the period of 2021-2022. After U-net revision, the spatial resolution was refined from 0.5° to 0.1°, the deterministic and probabilistic accuracy indexes were comprehensively improved, and the forecast period was effectively extended, which provided refined data support for the model construction in the demonstration area of the project.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/a663c2cd-0c05-4e12-98dc-397f31314722
ER  -