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Evaluation of Short-Range Precipitation Reforecasts from East Asia Regional Reanalysis

机译:从东亚区域重新分析的短程降水重新折叠评估

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As the need for regional reanalyses emerged around the world, a short period of the East Asia Regional Reanalysis (EARR) system was recently developed based on the Unified Model (UM). In this study, the quality of the EARR is evaluated by comparing the short-range precipitation reforecasts against reforecasts of ERA-Interim (ERA-I) reanalysis and operational forecasts of the Korea Meteorological Administration (OPER). For the verification, two different periods are selected for 14 days in the summer (July 2013, denoted as 201307) and winter (February 2014, denoted as 201402). The equitable threat score (ETS) of EARR and OPER is generally greater than that of ERA-I. The frequency bias index (FBI) of EARR and OPER is overall closer to 1 than that of ERA-I for all thresholds, which indicates that EARR and OPER are much closer to the observation compared to ERA-I. For the period 201307, the ERA-I FBI is greater than 1 for lower thresholds and the probability of detection (POD) and false alarm ratio (FAR) of ERA-I are high, implying that ERA-I tends to overforecast light precipitation. In addition, using the same Weather Research and Forecasting (WRF) Model, the 6-h precipitation forecasts are integrated every 12 h (initialized from 0000/1200 UTC) for 4 months for the summer and winter season. Although the differences of ETS and FBI between EARR and ERA-I are not distinct for the summer season, overall EARR ETS is higher than ERA-I ETS, and EARR FBI is closer to 1 than ERA-I FBI. Based on several evaluations, the precipitation reforecasts of EARR are confirmed to be more accurate than those of OPER and ERA-I in East Asia.
机译:由于对世界各地出现的地区Reanalyses的需求,最近基于统一模型(UM)开发了一段短暂的东亚区域重新分析(EARR)系统。在这项研究中,通过比较韩国气象管理(oper)的再折叠和运营预测,通过比较对Reforecasts的短程降水重新折叠和运算预测进行评估,评估耳机的质量。对于验证,在夏季(2013年7月,表示为201307)和冬季(2014年2月,表示为201402年2月),选择了两次不同的时期。 EARR和OPER的公平威胁分数通常大于ERA-I。 EARR和OPER的频率偏置指数(FBI)总体上比所有阈值更接近1,这表明与ERA-I相比,EARR和OPER与观察更接近观察。对于20130年期间,ERA-I FBI大于1,用于较低阈值,并且检测(POD)和ERA-I的假警报比(FAR)高的概率很高,这意味着ERA-I倾向于过度沉淀。此外,使用相同的天气研究和预测(WRF)模型,每12小时(从0000/1200 UTC初始化)整合6-H降水预测为夏季和冬季的4个月。虽然ETES和ERA-I之间的ETS和FBI的差异对夏季并不不同,但整体耳机ETS高于ERA-I ETE,EARR FBI比时代-I FBI更接近1。基于几个评估,耳机的降水重新折叠被证实比东亚的常量和时代-i更准确。

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