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Seasonal Forecasts of the Summer 2016 Yangtze River Basin Rainfall

机译:2016年夏季长江流域降雨的季节性预报

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摘要

The Yangtze River has been subject to heavy flooding throughout history,and in recent times severe floods such as those in 1998 have resulted in heavy loss of life and livelihoods.Dams along the river help to manage flood waters,and are important sources of electricity for the region.Being able to forecast high-impact events at long lead times therefore has enormous potential benefit.Recent improvements in seasonal forecasting mean that dynamical climate models can start to be used directly for operational services.The teleconnection from El Ni(n)io to Yangtze River basin rainfall meant that the strong E1 Ni(n)o in winter 2015/16 provided a valuable opportunity to test the application of a dynamical forecast system.This paper therefore presents a case study of a real-time seasonal forecast for the Yangtze River basin,building on previous work demonstrating the retrospective skill of such a forecast.A simple forecasting methodology is presented,in which the forecast probabilities are derived from the historical relationship between hindcast and observations.Its performance for 2016 is discussed.The heavy rainfall in the May-June-July period was correctly forecast well in advance.August saw anomalously low rainfall,and the forecasts for the June-July-August period correctly showed closer to average levels.The forecasts contributed to the confidence of decision-makers across the Yangtze River basin.Trials of climate services such as this help to promote appropriate use of seasonal forecasts,and highlight areas for future improvements.
机译:长江在整个历史上一直遭受严重洪灾,近年来,如1998年的洪灾已导致严重的生命和生计损失。沿江的水坝有助于管理洪水,并且是重要的电力来源因此,能够在很长的交付时间内预测高影响力事件具有巨大的潜在利益。季节性预测的最新改进意味着动态气候模型可以开始直接用于运营服务。来自El Ni(n)io长江流域的降雨意味着2015/16年冬季强E1 Ni(n)o提供了宝贵的机会来测试动态预报系统的应用。因此,本文提供了一个实时预报的季节性案例研究。长江流域以以前的工作为基础,证明了这种预报的回顾能力。提出了一种简单的预报方法,其中预报概率源自后预报与观测之间的历史关系。讨论了其在2016年的表现。提前正确地预测了5月至6月至7月期间的强降雨.8月出现了异常偏低的降雨,而6月至7月的预测为8月份的时间正确地显示了接近平均水平。这些预测有助于整个长江流域决策者的信心。气候服务试验等有助于促进季节性预报的合理使用,并突出了未来的改进领域。

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  • 来源
    《大气科学进展(英文版)》 |2018年第8期|918-926|共9页
  • 作者单位

    Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UK;

    State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;

    Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081, China;

    Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UK;

    College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, Devon EX4 4QF, UK;

    Center for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;

    Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UK;

    Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UK;

    Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081, China;

    Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UK;

    Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UK;

    Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UK;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-19 03:55:46
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