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首页> 外文期刊>Hydrology Research >Predictions in a data-sparse region using a regionalized grid-based hydrologic model driven by remotely sensed data
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Predictions in a data-sparse region using a regionalized grid-based hydrologic model driven by remotely sensed data

机译：使用由遥感数据驱动的基于区域化网格的水文模型对数据稀疏区域进行预测

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The goal of this study was to assess the feasibility of using Tropical Rainfall Measuring Missionn(TRMM) and Moderate Resolution Imaging Spectroradiometer (MODIS) products to drive a mesoscalenhydrologic model (mHM) in a poorly gauged basin. Other remotely sensed products such as LandSatnand Shuttle Radar Topography Mission (SRTM) were also used to complement the localngeoinformation. For this purpose, three data blending techniques that combine satellite with in situnobservations were implemented and evaluated in the Mod basin (512 km2) in India. The climate ofnthe basin is semi-arid and monsoon-dominated. The rainfall gauging network comprised six stationsnwith daily records spanning 9 years. Daily discharge time series was only 4 years long andnincomplete. Lumped and distributed versions of mHM were evaluated. Parameters of the lumpednversion were obtained through calibration. A multiscale regionalization technique was used tonparameterize the distributed version using global parameters from other gauged basins. Both mHMnversions were evaluated during six monsoon seasons. Results of numerical experiments indicatednthat driving mHM with satellite-based products is possible and promising. The distributed model withnregionalized parameters was at least 20% more efficient than that of its lumped version. Initializationnconditions must be carefully considered when the model is only driven by remotely sensed inputs
机译：这项研究的目的是评估在测量不良的盆地中使用热带降雨测量任务（TRMM）和中分辨率成像光谱仪（MODIS）产品驱动中尺度水文模型（mHM）的可行性。其他遥感产品，例如LandSatnand Shuttle雷达地形图任务（SRTM），也被用来补充本地信息。为此，在印度的莫德盆地（512 km2）中实施并评估了将卫星与情景观测相结合的三种数据融合技术。该盆地的气候为半干旱和季风为主。降雨测量网络由六个站组成，每天记录9年。每天的出院时间序列只有4年，而且还不完整。评估了mHM的集总和分布式版本。集总参数通过校准获得。使用了多尺度区域化技术，使用来自其他规范盆地的全局参数来对分布式版本进行参数化。这两个mHMnversions在六个季风季节进行了评估。数值实验的结果表明，利用基于卫星的产品驱动mHM是可能的并且很有前途。具有区域参数的分布式模型比集总模型的效率至少高20％。当模型仅由遥感输入驱动时，必须仔细考虑初始化条件

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