首页> 外文期刊>Journal of geophysical research. Earth Surface: JGR >Toward a complete Himalayan hydrological budget: Spatiotemporal distribution of snowmelt and rainfall and their impact on river discharge
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Toward a complete Himalayan hydrological budget: Spatiotemporal distribution of snowmelt and rainfall and their impact on river discharge

机译:建立完整的喜马拉雅水文预算:融雪和降雨的时空分布及其对河流流量的影响

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The hydrological budget of Himalayan rivers is dominated by monsoonal rainfall and snowmelt, but their relative impact is not well established because this remote region lacks a dense gauge network. Here, we use a combination of validated remotely-sensed climate parameters to characterize the spatiotemporal distribution of rainfall, snowfall, and evapotranspiration in order to quantify their relative contribution to mean river discharge. Rainfall amounts are calculated from calibrated, orbital, high-resolution Tropical Rainfall Measurement Mission data, and snow-water equivalents are computed from a snowmelt model based on satellite-derived snow cover, surface temperature, and solar radiation. Our data allow us to identify three key aspects of the spatiotemporal precipitation pattern. First, we observe a strong decoupling between the rainfall on the Himalayan foreland versus that in the mountains: a pronounced sixfold, east-west rainfall gradient in the Ganges plains exists only at elevations <500 m asl. Mountainous regions (500 to 5000 m asl) receive nearly equal rainfall amounts along strike. Second, whereas the Indian summer monsoon is responsible for more than 80% of annual rainfall in the central Himalaya and Tibetan Plateau, the eastern and western syntaxes receive only ~50% of their annual rainfall during the summer season. Third, snowmelt contributions to discharge differ widely along the range. As a fraction of the total annual discharge, snowmelt constitutes up to 50% in the far western (Indus area) catchments, ~25% in far eastern (Tsangpo) catchments, and <20% elsewhere. Despite these along-strike variations, snowmelt in the pre- and early-monsoon season (April to June) is significant and important in all catchments, although most pronounced in the western catchments. Thus, changes in the timing or amount of snowmelt due to increasing temperatures or decreasing winter precipitation may have far-reaching societal consequences. These new data on precipitation and runoff set the stage for far more detailed investigations than have previously been possible of climate-erosion interactions in the Himalaya.
机译:喜马拉雅河流域的水文预算主要受季风性降雨和融雪的影响,但由于该偏远地区缺乏密集的标尺网络,因此其相对影响尚未得到充分确定。在这里,我们使用经过验证的遥感气候参数的组合来描述降雨,降雪和蒸散量的时空分布,以便量化它们对平均河流量的相对贡献。降雨量是根据校准的,高分辨率的热带轨道雨量测量任务数据计算得出的,雪水当量是根据基于卫星的积雪,地表温度和太阳辐射的融雪模型计算的。我们的数据使我们能够确定时空降水模式的三个关键方面。首先,我们观察到喜马拉雅前陆的降雨与山区的降雨之间存在强烈的去耦关系:恒河平原的东西向降雨梯度呈明显的六倍分布,仅在海拔高度小于500 m时才存在。山区(500至5000 m asl)沿罢工获得的降雨量几乎相等。其次,印度的夏季风在喜马拉雅山中部和青藏高原的年降雨量中占80%以上,而东西方的语法在夏季仅获得其年降雨量的约50%。第三,融雪对排放的贡献在整个范围内差异很大。融雪占年排放总量的一小部分,在远西(印度河地区)流域占50%,在远东(仓浦)流域约占25%,在其他地区<20%。尽管沿袭有这些差异,但季风前后季节(4月至6月)的融雪在所有流域都非常重要,尽管在西部流域最为明显。因此,由于温度升高或冬季降水减少而导致融雪时间或融雪量的变化可能会产生深远的社会后果。这些与降水和径流有关的新数据为进行更详细的调查奠定了基础,这比以前在喜马拉雅山可能发生的气候侵蚀相互作用更为可能。

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