An evaluation of numerical weather prediction based rainfall forecasts

被引:23
作者
Shahrban, Mahshid [1 ]
Walker, Jeffrey P. [1 ]
Wang, Q. J. [2 ]
Seed, Alan [3 ]
Steinle, Peter [3 ]
机构
[1] Monash Univ, Dept Civil Engn, Clayton, Vic, Australia
[2] CSIRO Land & Water, Highett, Vic, Australia
[3] Ctr Australian Weather & Climate Res, Melbourne, Vic, Australia
来源
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES | 2016年 / 61卷 / 15期
关键词
Hydrological modelling; forecast rainfall; rainfall evaluation; radar rainfall calibration; Z-R-RELATIONSHIPS; PRECIPITATION FORECASTS; SIZE DISTRIBUTIONS; DROP SIZE; RADAR; VERIFICATION; RESOLUTION; MODELS; ERRORS; ACCUMULATIONS;
D O I
10.1080/02626667.2016.1170131
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Assessment of forecast precipitation is required before it can be used as input to hydrological models. Using radar observations in southeastern Australia, forecast rainfall from the Australian Community Climate Earth-System Simulator (ACCESS) was evaluated for 2010 and 2011. Radar rain intensities were first calibrated to gauge rainfall data from four research rainfall stations at hourly time steps. It is shown that the Australian ACCESS model (ACCESS-A) overestimated rainfall in low precipitation areas and underestimated elevated accumulations in high rainfall areas. The forecast errors were found to be dependent on the rainfall magnitude. Since the cumulative rainfall observations varied across the area and through the year, the relative error (RE) in the forecasts varied considerably with space and time, such that there was no consistent bias across the study area. Moreover, further analysis indicated that both location and magnitude errors were the main sources of forecast uncertainties on hourly accumulations, while magnitude was the dominant error on the daily time scale. Consequently, the precipitation output from ACCESS-A may not be useful for direct application in hydrological modelling, and pre-processing approaches such as bias correction or exceedance probability correction will likely be necessary for application of the numerical weather prediction (NWP) outputs.
引用
收藏
页码:2704 / 2717
页数:14
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