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首页> 外文期刊>Remote Sensing >MODIS Inundation Estimate Assimilation into Soil Moisture Accounting Hydrologic Model: A Case Study in Southeast Asia
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MODIS Inundation Estimate Assimilation into Soil Moisture Accounting Hydrologic Model: A Case Study in Southeast Asia

机译:土壤水分核算水文模型中MODIS淹没估计的同化:以东南亚为例

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摘要

Flash Flood Guidance consists of indices that estimate the amount of rain of a certain duration that is needed over a given small basin in order to cause minor flooding. Backwater catchment inundation from swollen rivers or regional groundwater inputs are not significant over the spatial and temporal scales for the majority of upland flash flood prone basins, as such, these effects are not considered. However, some lowland areas and flat terrain near large rivers experience standing water long after local precipitation has ceased. NASA is producing an experimental product from the MODIS that detects standing water. These observations were assimilated into the hydrologic model in order to more accurately represent soil moisture conditions within basins, from sources of water from outside of the basin. Based on the upper soil water content, relations are used to derive an error estimate for the modeled soil saturation fraction; whereby, the soil saturation fraction model state can be updated given the availability of satellite observed inundation. Model error estimates were used in a Monte Carlo ensemble forecast of soil water and flash flood potential. Numerical experiments with six months of data (July 2011–December 2011) showed that MODIS inundation data, when assimilated to correct soil moisture estimates, increased the likelihood that bankfull flow would occur, over non-assimilated modeling, at catchment outlets for approximately 44% of basin-days during the study time period. While this is a much more realistic representation of conditions, no actual events occurred allowing for validation during the time period.
机译:暴雨洪水指南由一些指数组成,这些指数可以估算给定小盆地需要一定时间的降雨量,以引起小洪水。在大多数山地暴发易发盆地,在时空范围内,因河水膨胀或区域地下水输入而造成的回水流域淹没并不明显,因此,未考虑这些影响。但是,在当地降水停止后很长时间,一些低地地区和大河附近的平坦地形就遇到了积水。 NASA正在从MODIS生产一种检测死水的实验产品。将这些观测值同化到水文模型中,以便更准确地表示流域外部的水源中流域内的土壤水分状况。根据上层土壤含水量,使用关系式为模型化的土壤饱和度分数推导误差估计值。从而,根据卫星观测到的淹没情况,可以更新土壤饱和度分数模型状态。模型误差估计用于土壤水和山洪暴发潜力的蒙特卡洛合奏预测中。六个月数据(2011年7月至2011年12月)的数值实验表明,MODIS淹没数据在被用来校正土壤湿度估计值的情况下,与非同化模型相比,集水区的集水量增加了约44%研究期间的流域天数。尽管这是条件的更现实的表示,但没有发生实际事件,因此无法在该时间段内进行验证。

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