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Greenland liquid water discharge from 1958 through 2019

机译:1958年至2019年格陵兰液排放

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Greenland runoff, from ice mass loss and increasing rainfall, is increasing. That runoff, as discharge, impacts the physical, chemical, and biological properties of the adjacent fjords. However, where and when the discharge occurs is not readily available in an open database. Here we provide data sets of high-resolution Greenland hydrologic outlets, basins, and streams, as well as a daily 1958 through 2019 time series of Greenland liquid water discharge for each outlet. The data include 24 507 ice marginal outlets and upstream basins and 29 635 land coast outlets and upstream basins, derived from the 100 m ArcticDEM and 150 m BedMachine. At each outlet there are daily discharge data for 22 645 d – ice sheet runoff routed subglacially to ice margin outlets and land runoff routed to coast outlets – from two regional climate models (RCMs; MAR and RACMO). Our sensitivity study of how outlet location changes for every inland cell based on subglacial routing assumptions shows that most inland cells where runoff occurs are not highly sensitive to those routing assumptions, and outflow location does not move far. We compare RCM results with 10 gauges from streams with discharge rates spanning 4?orders of magnitude. Results show that for daily discharge at the individual basin scale the 5 % to 95 % prediction interval between modeled discharge and observations generally falls within plus or minus a factor of 5 (half an order of magnitude, or +500 %/-80 %). Results from this study are available at https://doi.org/10.22008/promice/freshwater (Mankoff,?2020a) and code is available at http://github.com/mankoff/freshwater (last access: 6?November?2020) (Mankoff,?2020b).
机译:从冰块损失和降雨量增加,格陵兰径流正在增加。径流,作为放电,影响相邻峡湾的物理,化学和生物学性质。但是,在打开的数据库中不容易出现放电的地方和何时。在这里,我们提供高分辨率的格陵兰水文插座,盆地和流的数据集,以及每次1958到2019到2019年的每次出口的绿地液体排放量。该数据包括24 507冰边口和上游盆地,29 635个陆地海岸网点和上游盆地,来自100米Arcticdem和150米床单。在每个出口时,有22 645 D的每日放电数据 - 冰盖径流从两个区域气候模型(RCMS; MAR和RACMO)排出到海岸插座的冰缘出口和土地径流。我们的敏感性研究了基于底掩模路由假设对每个内陆单元的出口位置改变的敏感性研究表明,大多数内陆细胞发生径流对这些路由假设的高度敏感,并且流出位置不会移动。我们将RCM结果与排放利率的溪流与跨越4的溪流进行比较4?数量级。结果表明,对于各个盆地的日常放电,建模排放和观测之间的5%至95%预测间隔通常在加号或减去5倍(幅度的一半,或+ 500%/ - 80%)内落下。本研究的结果可在https://doi.org/10.22008/promice/freshwater(mankoff,af)和代码可在http://github.com/mankoff/freshwater(上次访问:6月6日)? 2020)(Mankoff,?2020B)。

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