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投稿时间:2024-02-12 修订日期:2025-04-06
投稿时间:2024-02-12 修订日期:2025-04-06
中文摘要: 数值模式精细化的降水预报对流域的防汛防洪工作有重要的支撑作用。2020年梅汛期间,持续强降水导致新安江水库发生建成以来最大洪水事件且首次全面开闸泄洪。文章基于站点观测降水资料,评估4个全球模式和4个区域模式对新安江流域降水和面雨量的预报性能,并重点关注模式对流域降水的极端性和累积效应的预报能力,以了解当下业务预报模式能否满足水库泄洪预报服务的需求,此外,还分析了地形高度对各模式降水预报的影响。结果表明:(1)全球模式普遍低估降水,且对极端降水的预报能力弱于区域模式;区域模式对降水预报则多表现为偏高估计,单模式间的离散度较大,多模式预报的集合平均表现更佳。(2)区域模式对暴雨至大暴雨量级的降水预报表现较好,但对其落区和发生时间上存在一定偏差。(3)相较于模式单日降水的预报评估,综合考虑模式预报降水的累积效应和极端性对水库泄洪预报更具指示意义。(4)地形高度对各模式预报暴雨及以上量级的极端降水有较为明显的影响,区域模式随地形增高预报优势逐渐明显,尤其是浙江省中尺度数值预报业务系统和浙江省快速更新同化预报系统,TS评分由不足0.10提高到0.15左右;而全球模式对暴雨及以上量级的预报能力下降,中雨及以下量级的降水受地形影响不显著。
中文关键词: 新安江流域,梅雨期降水,多模式,地形高度,检验评估
Abstract:The refined precipitation forecasts from numerical prediction models are of a crucial support to flood control efforts within river basins. The continuous heavy rainfall during the Meiyu season in 2020 led to the heaviest flood event since the construction of the Xin’anjiang Reservoir and it was the first time that all the sluices were fully opened. Based on precipitation observation data from various stations, this paper examines the forecast performance of four global models and four regional models regarding both overall precipitation patterns and areal rainfall within Xin’anjiang Basin. Additionally, it focuses on evaluating the predictive capabilities of these models regarding extreme and cumulative precipitation effects in the basin to understand whether they can meet the demand of reservoir flood discharge forecasting service. Furthermore, an analysis is conducted to assess how terrain height influences models’ precipitation forecasts. The results show that the global models consistently underestimate the precipitation and have weaker prediction ability for extreme precipitation than the regional models. The regional models mostly overestimate the precipitation but have relatively large variations among the predictions. The regional multi-model ensemble average demonstrates a better forecast performance than single-model results. The regional models perform well in forecasting rainfall of rainstorm to heavy rainstorm, but have some discrepancies in predicting the locations and timing of heavy rainstorm. Compare to the model evaluation of single-day precipitation forecast, it is more instructive to comprehensively consider the cumulative effects and extremity of precipitation prediction. Terrain height significantly influences the prediction of rainstorm events and above. As the terrain height increases, the advantage of regional models becomes evident while the predictive ability of global models for rainstorm events decreases. Especially for ZJWARMS and ZJWARRS, the TS scores increase from below 0.10 to approximately 0.15 or so. Additionally, moderate or lighter intensity rains are not affected by terrain so obviously.
文章编号: 中图分类号:P456 文献标志码:
基金项目:浙江省气象科技项目(2020ZD06、2022ZD14、2023ZD14)和浙江省自然科学基金联合基金项目(LZJMZ23D050005)共同资助
Author Name | Affiliation |
WANG Dan | Zhejiang Institute of Meteorological Sciences, Hangzhou 310008 |
YU Zhenshou | Zhejiang Institute of Meteorological Sciences, Hangzhou 310008 |
引用文本:
王丹,余贞寿,2025.2020年超长梅雨期间新安江流域多模式降水预报评估[J].气象,51(5):581-594.
WANG Dan,YU Zhenshou,2025.Evaluation of Multi-Model Forecast of Precipitation in Xin’anjiang Basin During the Ultra-Long Meiyu Season in 2020[J].Meteor Mon,51(5):581-594.
王丹,余贞寿,2025.2020年超长梅雨期间新安江流域多模式降水预报评估[J].气象,51(5):581-594.
WANG Dan,YU Zhenshou,2025.Evaluation of Multi-Model Forecast of Precipitation in Xin’anjiang Basin During the Ultra-Long Meiyu Season in 2020[J].Meteor Mon,51(5):581-594.
