The Skill of ECMWF Precipitation and Temperature Predictions in the Danube Basin as Forcings of Hydrological Models

被引:28
作者
Pappenberger, Florian [1 ]
Buizza, Roberto [1 ]
机构
[1] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England
关键词
FLOOD;
D O I
10.1175/2008WAF2222120.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In this paper the suitability of ECMWF forecasts for hydrological applications is evaluated. This study focuses on three spatial scales: the upper Danube (which is upstream of Bratislava, Slovakia), the entire Danube catchment, and the whole of Europe. Two variables, 2-m temperature and total precipitation, are analyzed. The analysis shows that precipitation forecasts follow largely in pattern the observations. The timing of the peaks between forecasted and observed precipitation and temperature is good although precipitation amounts are often underestimated. The catchment scale influences the skill scores significantly. Small catchments exhibit a larger variance as well as larger extremes. A water balance analysis suggest a 10% underestimation by the ensemble mean and an overestimation by the high-resolution forecast over the past few years. Precipitation and temperature predictions are skillful up to days 5-7. Forecasts accumulated over a longer time frame are largely more skillful than forecasts accumulated over short time periods.
引用
收藏
页码:749 / 766
页数:18
相关论文
共 23 条
[1]  
[Anonymous], 2006, ECMWF NEWSL
[2]  
[Anonymous], 1995, STAT METHODS ATMOSPH
[3]  
BECHTOLD P, 2008, 556 ECMWF RD
[4]   Searching for the Holy Grail of scientific hydrology:: Qt = H((S)under-left-arrow, (R)under-left-arrow, Δt)A as closure [J].
Beven, K. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2006, 10 (05) :609-618
[5]   Stochastic representation of model uncertainties in the ECMWF Ensemble Prediction System [J].
Buizza, R ;
Miller, M ;
Palmer, TN .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 1999, 125 (560) :2887-2908
[6]  
BUIZZA R, 2007, 516 ECMWF RES DEP
[7]   The new ECMWF VAREPS (Variable Resolution Ensemble Prediction System) [J].
Buizza, Roberto ;
Bidlot, Jean-Raymond ;
Wedi, Nils ;
Fuentes, Manuel ;
Hamrud, Mats ;
Holt, Graham ;
Vitart, Frederic .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2007, 133 (624) :681-695
[8]   The value of probabilistic prediction [J].
Buizza, Roberto .
ATMOSPHERIC SCIENCE LETTERS, 2008, 9 (02) :36-42
[9]   Evaluating forecasts of extreme events for hydrological applications: an approach for screening unfamiliar performance measures [J].
Cloke, Hannah L. ;
Pappenberger, Florian .
METEOROLOGICAL APPLICATIONS, 2008, 15 (01) :181-197
[10]   Constraining dynamic TOPMODEL responses for imprecise water table information using fuzzy rule based performance measures [J].
Freer, JE ;
McMillan, H ;
McDonnell, JJ ;
Beven, KJ .
JOURNAL OF HYDROLOGY, 2004, 291 (3-4) :254-277