Low-flow forecasting in France: update on the latest developments of the PREMHYCE operational forecast platform

F. Bourgin, François Tilmant, Anne Véron, F. Besson, D. François, Matthieu Le Lay, P. Nicolle, C. Perrin, F. Rousset, D. Thiéry, J. Willemet, C. Magand, Mathilde Morel
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Abstract

Low-flow forecasting can help to improve water management at places where a number of uses can be affected by diminishing water supply from rivers. Several French institutes (INRAE, BRGM, EDF, Lorraine University and Météo-France) have been collaborating to set up an operational platform, called PREMHYCE, for low-flow forecasting at the national scale, in cooperation with operational services. PREMHYCE includes five hydrological models and low-flow forecasts can be issued up to 90 days ahead for more than 800 basins. Several input scenarios are considered: ECMWF 14-days ensemble forecasts, ensemble streamflow prediction (ESP) using historical climatic data, and a no precipitation scenario. Outputs from the different hydrological models are combined into a multi-model approach to improve robustness of the forecasts. The tool provides text files and graphical representation of forecasted low-flows, as well as key low-flow indicators, such as the probabilities of being under low-flow thresholds provided by operational services. The presentation will show the main characteristics of this operational forecast platform, its latest developments and the results on the recent low-flow periods.

法国的低流量预报:PREMHYCE业务预报平台的最新发展
低流量预报可以帮助改善一些地方的水管理,这些地方的许多用途可能受到河流供水减少的影响。几个法国研究机构(INRAE、BRGM、EDF、洛林大学和Météo-France)一直在与业务服务机构合作,建立一个名为PREMHYCE的业务平台,用于在国家范围内进行低流量预测。PREMHYCE包括五种水文模型,可以提前90天发布800多个流域的低流量预报。考虑了几种输入情景:ECMWF 14天集合预报、使用历史气候数据的集合流量预测(ESP)和无降水情景。不同水文模型的输出被组合成一个多模型方法,以提高预测的稳健性。该工具提供了预测的低流量的文本文件和图形表示,以及关键的低流量指标,例如在操作服务提供的低流量阈值下的概率。讲座将介绍该预报平台的主要特点、最新发展情况以及最近低流量期的结果。
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