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Assessing the Predictability of Heavy Rainfall Events in Japan in Early July 2018 on Medium-Range Timescales

机译:评估2018年7月初日本大雨事件的可预测性在中程时间尺度

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Extremely heavy rainfall events occurred over western Japan in early July 2018. This study assesses the predictability of these events for the period 5-7 July using three operational medium-range ensemble forecasts available from the European Centre for Medium-range Weather Forecasts (ECMWF), the Japan Meteorological Agency (JMA), and the National Centers for Environmental Prediction (NCEP), and ensemble simulations conducted with an ECMWF model and NCEP operational ensemble initial conditions. All three operational ensembles predicted extreme rainfall on 5-6 July at lead times of ≤ 6 days, indicating the high predictability of this event. However, the extreme rainfall event of 6-7 July was less predictable. The NCEP forecasts, initialised on 30 June, performed better at predicting this event than the other operational forecasts. The JMA forecasts initialised on 1 July showed improved predictability; however, the ECMWF forecasts initialised after 30 June showed only gradual improvements as the initialisation time progressed. The ensemble simulations revealed that the lower predictability of the rainfall in the ECMWF forecasts on 6-7 July can be attributed to the model rather than to the initial conditions. Accurate prediction of the North Pacific Subtropical High is a prerequisite for accurate prediction of such extreme rainfall events.
机译:2018年7月初,日本西部出现极大的降雨事件。本研究评估了7月5日至7日的可预测性,这些事件于7月5日期间使用欧洲中距离预测(ECMWF)的三个运营中等范围集合预测,日本气象学局(JMA)和国家环境预测中心(NCEP),以及通过ECMWF模型和NCEP运营集合初始条件进行的集合模拟。所有三个运营集合都预测了7月5日至6日的极端降雨,在≤6天的铅时报线上,表明这一事件的高可预测性。然而,7月6日至7日的极端降雨事件不太可预测。在6月30日开始的NCEP预测,比其他操作预测更好地进行了更好的表现更好。 7月1日初始化的JMA预测显示出改善的可预测性;但是,6月30日之后的ECMWF预测显示只有初始化的改进,因为初始化时间进展。集合模拟显示,7月6日至7日的ECMWF预测中降雨的可预测性降低可归因于模型而不是初始条件。北太平洋亚热带高度的准确预测是准确预测这种极端降雨事件的先决条件。

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