A diagnostic verification of the precipitation forecasts produced by the Canadian ensemble prediction system

被引:13
作者
Peel, Syd [1 ]
Wilson, Laurence J. [2 ]
机构
[1] Environm Canada, Meterol Res Div, Toronto, ON, Canada
[2] Environm Canada, Meterol Res Div, Dorval, PQ, Canada
关键词
D O I
10.1175/2008WAF2006099.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A comparatively long period of relative stability in the evolution of the Canadian Ensemble Forecast Svstem was exploited to compile a large homogeneous set of precipitation forecasts. The probability of exceedance of a given threshold was computed as the fraction of ensemble member forecasts surpassing that threshold, and verified directly against observations from 36 stations across the country. These forecasts were stratified into warm and cool seasons and assessed against the observations through attributes diagrams, Brier skill scores, and areas under receiver operating characteristic curves. These measures were deemed Sufficient to illuminate the salient features of a forecast system. Particular attention was paid to forecasts of 24-h accumulation. especially the exceedance of thresholds in the upper decile of station climates. The ability of the system to forecast extended dry periods was also explored. Warm season forecasts for the 90th percentile threshold were found to be competitive with. even superior to, those for the cool season when verifying across the sample lumping together all of the stations. The relative skill of the forecasts in the two seasons depends strongly on station location, however. Moreover. the skill of the warm season forecasts rapidly drops below cool season values as the thresholds become more extreme. The verification, particularly of the cool season, is sensitive to the calibration of the gauge reports, which is complicated by the inclusion of snow events in the observational record.
引用
收藏
页码:596 / 616
页数:21
相关论文
共 71 条
[11]  
Buizza R, 1999, WEATHER FORECAST, V14, P168, DOI 10.1175/1520-0434(1999)014<0168:PPOPUT>2.0.CO
[12]  
2
[13]   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
[14]   A comparison of the ECMWF, MSC, and NCEP global ensemble prediction systems [J].
Buizza, R ;
Houtekamer, PL ;
Toth, Z ;
Pellerin, G ;
Wei, MZ ;
Zhu, YJ .
MONTHLY WEATHER REVIEW, 2005, 133 (05) :1076-1097
[15]   Evaluation of probabilistic prediction systems for a scalar variable [J].
Candille, G ;
Talagrand, O .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2005, 131 (609) :2131-2150
[16]  
Cherubini T, 2002, WEATHER FORECAST, V17, P238, DOI 10.1175/1520-0434(2002)017<0238:VOPFOT>2.0.CO
[17]  
2
[18]  
Cote J, 1998, MON WEATHER REV, V126, P1373, DOI 10.1175/1520-0493(1998)126<1373:TOCMGE>2.0.CO
[19]  
2
[20]  
Doswell CA, 1987, WEATHER FORECAST, V2, P3, DOI 10.1175/1520-0434(1987)002<0003:TDBLSA>2.0.CO