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Comparison of a land surface model and Palmer drought severity index in monitoring drought in China

机译:陆面模型与帕尔默干旱严重度指数在中国干旱监测中的比较

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One kind of good drought monitoring technology (DMT) can help to detect and characterize drought conditions, and reduce adverse drought impacts. We evaluate how a DMT for China, based on a land surface model, would perform. The land surface model current soil moisture, runoff and evaporation. The DMT incorporates the Palmer drought severity index (PDSI) and soil moisture deciles taken from the LSM. We construct the drought event (1972). We also compare soil moisture based on model result with PDSI in different parts of China. Our results show that LSM can be used in drought monitoring in China and can provide information about drought conditions for different water users.
机译:一种良好的干旱监测技术(DMT)可以帮助检测和表征干旱状况,并减少不利的干旱影响。我们基于地表模型评估了中国DMT的性能。土地表面模型模拟了当前的土壤湿度,径流和蒸发量。 DMT包含了Palmer干旱严重程度指数(PDSI)和从LSM中获取的土壤水分指标。我们构建了干旱事件(1972年)。我们还将基于模型结果的土壤水分与PDSI在中国不同地区进行比较。我们的结果表明,LSM可用于中国的干旱监测,并且可以为不同的用水户提供有关干旱状况的信息。

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