Evaluating forecasts of extreme events for hydrological applications: an approach for screening unfamiliar performance measures

被引:51
作者
Cloke, Hannah L. [1 ]
Pappenberger, Florian [2 ]
机构
[1] Kings Coll London, Dept Geog, London WC2R 2LS, England
[2] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England
基金
英国自然环境研究理事会;
关键词
verification; brier score; precipitation forecast; flood forecast; ECMWF; correlation; ensemble predictions; hydrology;
D O I
10.1002/met.58
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Many different performance measures have been developed to evaluate field predictions in meteorology. However, a researcher or practitioner encountering a new or unfamiliar measure may have difficulty in interpreting its results, which may lead to them avoiding new measures and relying on those that are familiar. In the context of evaluating forecasts of extreme events for hydrological applications, this article aims to promote the use of a range of performance measures. Some of the types of performance measures that are introduced in order to demonstrate a six-step approach to tackle a new measure. Using the example of the European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble precipitation predictions for the Danube floods of July and August 2002, to show how to use new performance measures with this approach and the way to choose between different performance measures based on their suitability for the task at hand is shown. Copyright (c) 2008 Royal Meteorological Society.
引用
收藏
页码:181 / 197
页数:17
相关论文
共 67 条
[1]  
[Anonymous], 2007, OFDA CRED INT DIS DA
[2]  
[Anonymous], INT J RIVER BASIN MA, DOI [10.1080/15715124.2004.9635224, DOI 10.1080/15715124.2004.9635224]
[3]   Influence of rainfall spatial variability on flood prediction [J].
Arnaud, P ;
Bouvier, C ;
Cisneros, L ;
Dominguez, R .
JOURNAL OF HYDROLOGY, 2002, 260 (1-4) :216-230
[4]   Knowledge discovery for prediction and explanation of blue-green algal dynamics in lakes by evolutionary algorithms [J].
Bobbin, J ;
Recknagel, F .
ECOLOGICAL MODELLING, 2001, 146 (1-3) :253-262
[5]  
Breiman L., 2004, Random forests
[6]  
Breiman L., 1984, CLASSIFICATION REGRE, DOI [10.1201/9781315139470, DOI 10.1201/9781315139470]
[7]  
Briggs WM, 1997, MON WEATHER REV, V125, P1329, DOI 10.1175/1520-0493(1997)125<1329:WAFFV>2.0.CO
[8]  
2
[9]   Scoring probabilistic forecasts:: The importance of being proper [J].
Brocker, Jochen ;
Smith, Leonard A. .
WEATHER AND FORECASTING, 2007, 22 (02) :382-388
[10]  
BUIZZA R, 2006, 500 ECMWF