Please Scroll down for Article International Journal of Remote Sensing Evaluation of a Satellite-based Global Flood Monitoring System Evaluation of a Satellite-based Global Flood Monitoring System
Please Scroll down for Article International Journal of Remote Sensing Evaluation of a Satellite-based Global Flood Monitoring System Evaluation of a Satellite-based Global Flood Monitoring System
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通讯作者：
K. Yilmaz;R. Adler;Yudong Tian;Yang;Hong D;Harold F Pierce Be;K. K. Adler-K.;Robert F;-Hong
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作者：
K. Yilmaz;R. Adler;Yudong Tian;Yang;Hong D;Harold F Pierce Be;K. K. Adler-K.;Robert F;-Hong
本文可用于研究、教学和私人学习目的。明确禁止以任何形式向任何人进行任何实质性或系统性复制、再分发、转售、出借或再许可、系统性供应或分发。出版商不提供任何明示或暗示的保证，也不代表内容将是完整的、准确的或最新的。任何说明、配方和药物剂量的准确性均应通过主要来源进行独立验证。对于因使用本材料而直接或间接引起的任何损失、诉讼、索赔、程序、要求或费用或损害，出版商不承担任何责任。本研究使用基于卫星的降水和现成的地理空间数据集对全球洪水监测系统（GFMS）进行了初步评估。我们课题组开发的GFMS采用相对简单的水文模型，基于径流曲线数法，将降水转化为径流。网格到网格的路由方案将径流向下游移动。降水量估算来自 TRMM 多卫星降水分析 (TMPA)。我们首先使用美国东南部的雷达/测量仪合并降水产品（第四阶段）评估 TMPA 算法。该分析表明，空间尺度（以及流域大小）以及区域和季节因素对于使用 TMPA 驱动水文模型非常重要。使用美国两个流域出口处观测到的水流数据以及全球洪水档案对基于 GFMS 的径流模拟进行了评估。流域尺度分析表明，GFMS能够模拟强降水引发的洪水事件的发生；然而，后期模拟性能恶化。该结果表明需要改进路由组件。全球范围的分析表明，GFMS 能够检测到 38% 的观测到的洪水；然而，它存在区域依赖性偏差。
This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. This study provides an initial evaluation of a global flood monitoring system (GFMS) using satellite-based precipitation and readily available geospatial datasets. The GFMS developed by our group uses a relatively simple hydrologic model, based on the runoff curve number method, to transform precipitation into runoff. A grid-to-grid routing scheme moves runoff downstream. Precipitation estimates are from the TRMM Multi-satellite Precipitation Analysis (TMPA). We first evaluated the TMPA algorithm using a radar/gauge merged precipitation product (Stage IV) over southeast USA. This analysis indicated that the spatial scale (and hence the basin size) as well as regional and seasonal considerations are important in using the TMPA to drive hydrologic models. GFMS-based runoff simulations were evaluated using observed streamflow data at the outlet of two US basins and also using a global flood archive. Basin-scale analysis showed that the GFMS was able to simulate the onset of flood events produced by heavy precipitation; however, the simulation performance deteriorated in the later stages. This result points out the need for an improved routing component. Global-scale analysis indicated that the GFMS is able to detect 38% of the observed floods; however, it suffers from region-dependent bias.