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A pan-African medium-range ensemble flood forecast system

机译:泛非中距离系综洪水预报系统

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The African Flood Forecasting System (AFFS) is a probabilistic floodforecast system for medium- to large-scale African river basins, with leadtimes of up to 15 days. The key components are the hydrological modelLISFLOOD, the African GIS database, the meteorological ensemble predictionsby the ECMWF (European Centre for Medium-Ranged Weather Forecasts) andcritical hydrological thresholds. In this paper, the predictive capability isinvestigated in a hindcast mode, by reproducing hydrological predictions forthe year 2003 when important floods were observed. Results were verified byground measurements of 36 sub-catchments as well as by reports of variousflood archives. Results showed that AFFS detected around 70 % of thereported flood events correctly. In particular, the system showed goodperformance in predicting riverine flood events of long duration(> 1 week) and large affected areas (> 10 000 km2) well inadvance, whereas AFFS showed limitations for small-scale and short durationflood events. The case study for the flood event in March 2003 in the SabiBasin (Zimbabwe) illustrated the good performance of AFFS in forecastingtiming and severity of the floods, gave an example of the clear and conciseoutput products, and showed that the system is capable of producing floodwarnings even in ungauged river basins. Hence, from a technical perspective,AFFS shows a large potential as an operational pan-African flood forecastingsystem, although issues related to the practical implication will still needto be investigated.
机译:非洲洪水预报系统(AFFS)是针对中型到大型非洲流域的概率性洪水预报系统,交付周期最长为15天。关键组成部分是水文模型LISFLOOD,非洲GIS数据库,ECMWF(欧洲中程天气预报中心)的气象集合预报和关键水文阈值。本文通过再现2003年观测到重要洪水的水文预测,以后向模式研究了预测能力。通过对36个子汇水面积的地面测量以及各种洪水档案的报告,对结果进行了验证。结果表明,AFFS正确地检测到约70%的洪水事件。特别是,该系统在预测持续时间长(> 1周)和大灾区(> 10000 km 2 )的河流洪水事件方面表现良好,AFFS显示了小范围和短距离的局限性持续时间短的洪水事件。 2003年3月在萨比巴辛(津巴布韦)发生的洪水事件的案例研究说明了AFFS在预测洪水的时间和严重程度方面的良好性能,给出了清晰明了的产出示例,并表明该系统能够产生洪水预警即使在未开垦的流域因此,从技术的角度来看,AFFS作为泛非洪水预报系统具有巨大的潜力,尽管与实际意义相关的问题仍需要研究。

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