Evaluation of ensemble streamflow predictions in Europe

被引:117
作者
Alfieri, Lorenzo [1 ,2 ]
Pappenberger, Florian [1 ]
Wetterhall, Fredrik [1 ]
Haiden, Thomas [1 ]
Richardson, David [1 ]
Salamon, Peter [2 ]
机构
[1] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England
[2] Commiss European Communities, Joint Res Ctr, I-21027 Ispra, VA, Italy
关键词
Flood early warning; Ensemble streamflow predictions; CRPS; Skill scores; Distributed hydrological modelling; FLOOD ALERT SYSTEM; PROBABILITY SCORE; FORECASTS; MODEL; PRECIPITATION; SKILL;
D O I
10.1016/j.jhydrol.2014.06.035
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In operational hydrological forecasting systems, improvements are directly related to the continuous monitoring of the forecast performance. An efficient evaluation framework must be able to spot issues and limitations and provide feedback to the system developers. In regional systems, the expertise of analysts on duty is a major component of the daily evaluation. On the other hand, large scale systems need to be complemented with semi-automated tools to evaluate the quality of forecasts equitably in every part of their domain. This article presents the current status of the monitoring and evaluation framework of-the European Flood Awareness System (EFAS). For each grid point of the European river network, 10-day ensemble streamflow predictions are evaluated against a reference simulation which uses observed meteorological fields as input to a calibrated hydrological model. Performance scores are displayed over different regions, forecast lead times, basin sizes, as well as in time, considering average scores for moving 12-month windows of forecasts. Skilful predictions are found in medium to large rivers over the whole 10-day range. On average, performance drops significantly in river basins with upstream area smaller than 300 km(2), partly due to underestimation of the runoff in mountain areas. Model limitations and recommendations to improve the evaluation framework are discussed in the final section. (C) 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.orgflicenses/by-nc-nd/3.0/).
引用
收藏
页码:913 / 922
页数:10
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