首页> 外文会议>NATO advanced research workshop on the freshwater budget of the arctic ocean >DISCHARGE OBSERVATION NETWORKS IN ARCTIC REGIONS: COMPUTATION OF THE RIVER RUNOFF INTO THE ARCTIC OCEAN, ITS SEASONALITY AND VARIABILITY
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DISCHARGE OBSERVATION NETWORKS IN ARCTIC REGIONS: COMPUTATION OF THE RIVER RUNOFF INTO THE ARCTIC OCEAN, ITS SEASONALITY AND VARIABILITY

机译:北极地区的排放观察网络:将河流径流入北冰洋,其季节性和变异性

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On the basis of observed river discharge, our studies contribute to a better quantification of the Arctic Ocean Freshwater Budget. Based on 235 gauging stations in the Arctic River Database, 35 rivers have been selected on the basis of representativeness for the calculation of the volume-sum of discharge into the Arctic Ocean. The selected rivers drain an area of 12.9 million km~2 with an annual total discharge of 2603 km~3 into the Arctic Ocean. The gauged area of the selected rivers accounts for 70 % of the Arctic region depicted in Figure 1. The error bandwidth resulting from discharge measurements, the use of different time series and the lack of observations from melting processes and subsurface flows add to the uncertainties associated with the computation of total river discharge into the Arctic Ocean. For the analysis of variability and seasonality as well as for tests on trends and jumps in the time series, four rivers have been selected which account for about 68 % of the volume-sum of river discharge into the Arctic Ocean. Climatic variability markedly influences the timing of the melt period around the month of May, and hence river discharge into the Arctic Ocean. Approximately 79 % of the yearly runoff occurs in the months May -September. The more continental the climate, the more extreme the ratio of minimum to maximum discharge. In monthly series, increases in discharge have occurred from November to April in Siberia and from February to May in North America. A decrease in discharge is only observed in Siberia between July and September, the latter month being common to all rivers. The monthly variability of the volume-sum discharge into the Arctic Ocean cannot be computed with sufficient accuracy due to the inadequate overlap of the time series of the available river records. Only for the Yenisei river significant jumps and trends occur in annual series. The observed jumps and trends in time series need to be further examined for their causality.
机译:观察到河流流量的基础上,我们的研究有助于北冰洋淡水预算的一个更好的量化。基于在北极河数据库235个计量站,35条河流已经选择代表性的基础放电的体积总和的计算注入北冰洋上。所选择的河流外流的12900000公里〜2的面积与2603公里〜3年的总排放到北冰洋。所选择的河流的精确量过的面积占在图1中从放电测量产生的误差带宽描绘的北极区域的70%,则使用不同的时间序列和从熔化过程和地下缺乏观测的流的添加到相关联的不确定性总河流流量的计算注入北冰洋。对于变异的分析和季节性以及对趋势试验和时间序列跳跃,四条河流已选定占河流流量的容积和注入北冰洋的约68%。气候变化影响显着五月,因而河流流量周围的熔体期间流入北冰洋的时机。每年径流的约79%,在月月 - 9月发生。越大陆的气候,最小与最大放电更极端的比率。在每月的系列,在排放的增加有发生,从十一月到四月在西伯利亚,并从二月至五月在北美。在排放的减少只在西伯利亚发现七月和九月,后者月份是公用的河流之间。的容积和排出流入北冰洋的变化每月不能以足够的精度来计算,由于时间序列的可用河流记录的不足重叠。只有在叶尼塞河显著的跳跃和趋势发生在年度系列。进一步考察了它们的因果关系所观察到的跳跃和趋势在时间序列上的需要。

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