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Arctic climate and snow cover trends - Comparing Global Circulation Models with remote sensing observations

机译:北极气候和雪覆盖趋势 - 与遥感观测的全局循环模型进行比较

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This study assessed the impact of climate change on snow resources in the Arctic. Climate was classified for the period 1950-2100 according to the Koppen-Geiger (KG) classification system using the ensemble average of NASA-NEX CMIP5 projections for the rcp 4.5 scenario. Snow Cover Frequency (SCF) in days/year was calculated from the MODIS10A1 snow product and the SCF trends were calculated across the Arctic for the MODIS period (2001-2016). Ten pollution monitoring areas in the Arctic lowlands, especially vulnerable to climate change impacts, were selected for analyzing the climate and snow regimes. In seven of the ten areas we observed significant changes in the climate during the MODIS period and these same areas also showed the largest SCF trends. At lower latitudes we observed decreasing SCF, while further north, by the shores of the Arctic seas, SCF has increased. Averaged across the Arctic we observed a 0.91 days/year decrease in SCF. Our results show that across the Arctic warmer climate classes have and will continue to replace polar tundra and cold summer regions. Based on the CMIP5 simulations, we expect the coverage of the currently dominant Arctic climate class, Cold climate with cold summers and no dry season (Dfc), to decline by about 40% by 2100 and be replaced by climate classes associated with warm (Dfb, Dsb, Dwb) and hot (Dfa, Dsa, Dwa) summers.
机译:本研究评估了气候变化对北极雪资源的影响。根据Koppen-Geiger(kg)分类系统,气候为1950 - 2001年期间归类为RCP 4.5场景的NASA-NEX CMIP5投影的集合平均值。从Modis10A1雪产品计算的雪覆盖频率(SCF)计算,SCF趋势在MODIS期间计算(2001-2016)。选择了北极低地的十个污染监测区域,特别是易受气候变化影响的影响,以分析气候和雪地制度。在十个地区的七个领域,我们观察了Modis期间气候中的重大变化,这些相同的区域也表现出最大的SCF趋势。在较低的纬度地区,我们观察到的SCF减少,而北极海的北部进一步北方,SCF已经增加。在北极平均平均我们观察到SCF减少0.91天/年。我们的研究结果表明,在北极温暖的气候课程中,并将继续取代极地苔原和寒冷的夏季地区。基于CMIP5模拟,我们预计目前主导的北极气候级别,寒冷的气候与寒冷的夏季和无干燥季节(DFC)的覆盖率,下降约40%到2100%,并被气候类与温暖相关的气候类(DFB ,DSB,DWB)和热(DFA,DSA,DWA)夏季。

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