| 刊名 | Meteorological and Environmental Research |
| 作者 | Shaoyu HOU1,2, Xuejiao CHEN2,3, Chunnan SUO2,4, Xiangfeng HU1,5* |
| 作者单位 | 1.Hebei Provincial Weather Modification Center, Shijiazhuang 051432, China; 2.China Meteorological Administration Xiong'an Atmospheric Boundary Layer Key Laboratory, Xiong'an New Area 071000, China; 3.Hebei Xiong'an New Area Meteorological Service, Xiong'an New Area 070001, China; 4.Hebei Cangzhou Meteorological Observatory, Cangzhou 061000, China; 5. Hebei Key Laboratory of Meteorology and Ecological Environment, Shijiazhuang 050021, China |
| DOI | 10.19547/j.issn2152-3940.2024.04.008 |
| 年份 | 2024 |
| 刊期 | 4 |
| 页码 | 29-31 |
| 关键词 | X-band phased array radar; Quantitative precipitation estimation |
| 摘要 | This study utilized data from an X-band phased array weather radar and ground-based rain gauge observations to conduct a quantitative precipitation estimation (QPE) analysis of a heavy rainfall event in Xiong'an New Area from 20:00 on August 21 to 07:00 on August 22, 2022. The analysis applied the Z-R relationship method for radar-based precipitation estimation and evaluated the QPE algorithm's performance using scatter density plots and binary classification scores. The results indicated that the QPE algorithm accurately estimates light to moderate rainfall but significantly underestimates heavy rainfall. The study identified disparities in the predictive accuracy of the QPE algorithm across various precipitation intensity ranges, offering essential insights for the further refinement of QPE techniques. |
