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South African Weather Service operational satellite based precipitation estimation technique: Applications and improvements

机译:南非气象局基于卫星运行的降水估算技术:应用和改进

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摘要

Extreme weather related to heavy or more frequent precipitation events seem to be a likely possibility for the future of our planet. While precipitation measurements can be done by means of rain gauges, the obvious disadvantages of point measurements are driving meteorologists towards remotely sensed precipitation methods. In South Africa more sophisticated and expensive nowcasting technology such as radar and lightning networks are available, supported by a fairly dense rain gauge network of about 1500 daily gauges. In the rest of southern Africa rainfall measurements are more difficult to obtain. The local version of the Unified Model and the Meteosat Second Generation satellite data are ideal components of precipitation estimation in data sparse regions such as Africa. In South Africa hourly accumulations of the Hydroestimator (originally from NOAA/NESDIS) are currently used as a satellite based precipitation estimator for the South African Flash Flood Guidance system, especially in regions which are not covered by radar. In this study the Hydroestimator and the stratiform rainfall field from the Unified Model are both bias corrected and then combined into a new precipitation field. The new product was tested over a two year period and provides a more accurate and comprehensive input to the Flash Flood Guidance systems in the data sparse southern Africa. Future work will include updating the period over which bias corrections were calculated.
机译:与强降雨或更频繁的降雨事件相关的极端天气似乎是我们星球未来的可能。尽管可以通过雨量计来进行降水测量,但是点测量的明显缺点正驱使气象学家转向遥感降水方法。在南非,可以使用雷达和闪电网络等更先进,更昂贵的临近预报技术,并有一个相当密集的雨量计网络,每天约有1500个雨量计。在南部非洲其他地区,很难获得降雨量的测量值。统一模型的本地版本和Meteosat第二代卫星数据是数据稀疏地区(例如非洲)降水估算的理想组成部分。在南非,水力估算器的每小时累积量(最初来自NOAA / NESDIS)目前被用作南非山洪指导系统的卫星降水估算器,尤其是在雷达未覆盖的地区。在这项研究中,统一模型的水力估算器和层状降水场都经过了偏差校正,然后组合成一个新的降水场。新产品经过两年的测试,为南部非洲数据稀疏的山洪指导系统提供了更准确,更全面的输入。未来的工作将包括更新计算偏差校正的时间段。

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