Evaluating the precipitation biases over the western periphery of the Sichuan Basin by ECMWF operational forecast model

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Weather and Forecasting Pub Date : 2023-06-05 DOI:10.1175/waf-d-22-0218.1
Juan Li, Haoming Chen, Puxi Li, Xingwen Jiang
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Abstract

Based on the hourly merged precipitation product, the performance of the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS) in simulating the diurnal variations of precipitation during warm season over the western periphery of the SCB has been evaluated, and the underlying physical causes associated with the wet biases have also been investigated. The results show that the IFS well reproduces the spatial distributions of precipitation amount, frequency, intensity over the SCB, as well as their diurnal variations, but the simulated precipitation peaks earlier than the observation with notable wet biases over the western periphery of the SCB. In addition, the strong wet biases exhibit notable regional difference over the western periphery of the SCB. The simulated wet biases over the southwestern periphery of the SCB expanding westward to higher altitudes along the windward slope, with the maximum wet biases occurring at night. The westward expansion of the simulated stronger upward motions results in a westward shift of precipitation. However, the simulated precipitation over the northwestern periphery of the SCB have small difference in terms of the location, the overestimated precipitation is associated with the stronger atmospheric instability, resulting from the higher potential temperature and the larger specific humidity near the surface. The findings revealed in this study indicate that the ECMWF forecast shows distinct uncertainties over the different complex terrain, and thus offer a promising way forward for improvements of model physical processes.
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ECMWF运行预报模型对四川盆地西缘降水偏误的评价
基于逐时合并降水产品,对欧洲中期天气预报中心(ECMWF)综合预报系统(IFS)模拟南海西缘暖季降水日变化的性能进行了评价,并探讨了与湿偏相关的潜在物理原因。结果表明:IFS较好地模拟了南海地区降水数量、频率、强度的空间分布及其日变化特征,但模拟的降水峰值早于观测值,且南海西缘有明显的湿偏。此外,强湿偏在南海西缘表现出显著的区域差异。模拟的南海西南外围湿偏沿上风坡向西扩展至更高高度,最大湿偏发生在夜间。模拟的较强上升运动向西扩展导致降水向西移动。然而,南海西北外围的模拟降水在位置上差异不大,高估降水与大气不稳定性较强有关,这是由于近地面的位温较高和比湿较大造成的。研究结果表明,ECMWF对不同复杂地形的预报具有明显的不确定性,为改进模式物理过程提供了一条有希望的途径。
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来源期刊
Weather and Forecasting
Weather and Forecasting 地学-气象与大气科学
CiteScore
5.20
自引率
17.20%
发文量
131
审稿时长
6-12 weeks
期刊介绍: Weather and Forecasting (WAF) (ISSN: 0882-8156; eISSN: 1520-0434) publishes research that is relevant to operational forecasting. This includes papers on significant weather events, forecasting techniques, forecast verification, model parameterizations, data assimilation, model ensembles, statistical postprocessing techniques, the transfer of research results to the forecasting community, and the societal use and value of forecasts. The scope of WAF includes research relevant to forecast lead times ranging from short-term “nowcasts” through seasonal time scales out to approximately two years.
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