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Developing a global operational seasonal hydro-meteorological forecasting system: GloFAS-Seasonal v1.0

机译:开发全球运营季节性水力气象预测系统:Glofas-Setienal V1.0

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摘要

Global overviews of upcoming flood and drought events arekey for many applications, including disaster risk reduction initiatives.Seasonal forecasts are designed to provide early indications of such eventsweeks or even months in advance, but seasonal forecasts for hydrologicalvariables at large or global scales are few and far between. Here, we presentthe first operational global-scale seasonal hydro-meteorological forecastingsystem: GloFAS-Seasonal. Developed as an extension of the Global FloodAwareness System (GloFAS), GloFAS-Seasonal couples seasonal meteorologicalforecasts from ECMWF with a hydrological model to provide openly availableprobabilistic forecasts of river flow out to 4 months ahead for the globalriver network. This system has potential benefits not only for disaster riskreduction through early awareness of floods and droughts, but also forwater-related sectors such as agriculture and water resources management, inparticular for regions where no other forecasting system exists. We describethe key hydro-meteorological components and computational framework ofGloFAS-Seasonal, alongside the forecast products available, before discussinginitial evaluation results and next steps.
机译:即将到来的洪水和干旱活动的全球概要是许多申请的钥匙,包括减灾灾害风险举措。季节性预测旨在提供此类事件的早期迹象周甚至几个月提前几个月,但水文的季节性预测大型或全球范围的变量很少,距离很少。在这里,我们在场第一届业务全球规模季节性水力气象预测系统:Glofas-Setietal。发展为全球洪水的延伸意识系统(Glofas),Glofas-Seasenall Coupples季节气象从ECMWF与水文模型预测提供公开可用的河流流出的概率预测为全球范围为4个月河网。该系统不仅具有灾害风险的潜在利益通过早期对洪水和干旱的意识减少,还要减少水有关的部门,如农业和水资源管理,在特别是没有其他预测系统的地区。我们描述关键的水力气象成分和计算框架在讨论之前,Glofas-Seasenall,以及预测产品旁边初始评估结果和下一步。

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