Multisensoral remote sensing based modelling of the water balance of endorheic lakes on the Tibetan Plateau

V. Hochschild, J. Kropáček, S. Biskop, A. Braun, Feng Chen, M. Fink, J. Helmschrot, Shi-chang Kang, P. Krause, R. Leiterer, Q. Ye, W. Fluegel, C. Neale, M. Cosh
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Abstract

The water balance of endorheic lakes on the Tibetan Plateau plays an important role in the assessment of hydrological system dynamics such as glacier retreat or changing patterns of monsoonal precipitation in relation to global warming effects. Since those lakes are remote and hard to access, multisensoral remote sensing seems to be a valuable tool to generate hydrological relevant information as modelling input (land cover, trends in mountain lake ice cover, etc.) or validation base (lake level changes). Integrative methodological approaches linking state-of-the-art remote sensing with distributed hydrological modelling are the only way to quantify the water balance and to provide a forecast of the future water availability on the Tibetan Plateau.
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基于多传感器遥感的青藏高原内陆湖水量平衡模拟
青藏高原内河湖泊的水平衡在全球变暖影响下的冰川退缩、季风降水变化等水文系统动态评价中具有重要作用。由于这些湖泊地处偏远,难以进入,多传感器遥感似乎是产生水文相关信息的宝贵工具,可作为建模输入(土地覆盖、山地湖泊冰覆盖趋势等)或验证基础(湖泊水位变化)。将最先进的遥感技术与分布式水文模型相结合的综合方法方法是量化青藏高原水资源平衡和提供未来水资源可用性预测的唯一途径。
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