Satellite-based Flood Modeling Using TRMM-based Rainfall Products.
Satellite-based Flood Modeling Using TRMM-based Rainfall Products.
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DOI：
10.3390/s7123416
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发表时间：
2007-12-20
期刊：
影响因子：
--
通讯作者：
Easson G
中科院分区：
文献类型：
--
作者：
Harris A;Rahman S;Hossain F;Yarborough L;Bagtzoglou AC;Easson G
越来越多的、几乎不间断地提供卫星估计的降雨量数据，正逐渐成为各种情况下洪水预报的一个具有成本效益的投入来源。然而，大多数实时和准全球卫星降雨产品目前都是在0.25°至0.50°的空间尺度上获得的，因此，对于流域尺度洪水事件的动态水文模拟来说，这些产品被认为有些粗略。这项研究评估了这个问题：卫星降雨量数据在粗略尺度上的不确定性对水文有何影响？我们在肯塔基州970平方公里的上坎伯兰河流域调查了这个问题。评估的卫星降雨产品是NASA的热带降雨测量任务(TRMM)多卫星降水分析(TMPA)产品，名为3B41RT，可以伪实时获得，延迟时间为6-10小时。我们观察到，卫星雨量资料的偏差调整可以在一定程度上提高洪水预报的应用，同时也可以权衡高峰流量中更多的虚警。然而，在洪水模型师将卫星数据的使用制度化之前，需要确定一种更合理和基于制度的调整程序。
Increasingly available and a virtually uninterrupted supply of satellite-estimated rainfall data is gradually becoming a cost-effective source of input for flood prediction under a variety of circumstances. However, most real-time and quasi-global satellite rainfall products are currently available at spatial scales ranging from 0.25° to 0.50° and hence, are considered somewhat coarse for dynamic hydrologic modeling of basin-scale flood events. This study assesses the question: what are the hydrologic implications of uncertainty of satellite rainfall data at the coarse scale? We investigated this question on the 970 km2 Upper Cumberland river basin of Kentucky. The satellite rainfall product assessed was NASA's Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) product called 3B41RT that is available in pseudo real time with a latency of 6-10 hours. We observed that bias adjustment of satellite rainfall data can improve application in flood prediction to some extent with the trade-off of more false alarms in peak flow. However, a more rational and regime-based adjustment procedure needs to be identified before the use of satellite data can be institutionalized among flood modelers.
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