Spatial attribution of declining Colorado River streamflow under future warming

IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Journal of Hydrology Pub Date : 2023-02-01 DOI:10.1016/j.jhydrol.2023.129125
Kristen M. Whitney , Enrique R. Vivoni , Theodore J. Bohn , Giuseppe Mascaro , Zhaocheng Wang , Mu Xiao , Mohammed I. Mahmoud , Chuck Cullom , Dave D. White
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引用次数: 3

Abstract

Studies of climate change impacts in the Colorado River Basin have focused on the Upper Basin, finding that warming has exacerbated streamflow declines since 2000. Presently, it is unclear if the predicted high degree of interannual precipitation variability across the basin could overwhelm impacts of future warming and how this might vary in space. To address this, we employed an updated Variable Infiltration Capacity model framework to generate streamflow projections across the entire basin. Meteorological data were drawn from downscaled historical and future climate projections of eight climate models that best represent climatology. Results showed a high confidence of Far-Future (2066–2095) mean annual streamflow declines (relative to the Baseline, 1976–2005) at the Upper Basin, Lower Basin, and basin-wide scales (ensemble median trends of −5 % to −25 %). Streamflow declines were attributed to warming that diminished snowfall and melt during April to September and year-round increased soil evaporation from the Upper Basin, and overall precipitation declines in the Lower Basin. Widespread reductions in annual runoff and baseflow efficiencies indicated that precipitation increases did not offset the noted warming effects. Spatial coherence tests indicated that streamflow correlations among subbasins remained relatively constant in the future scenarios, though correlations with the Green River increased. This spatial attribution analysis is providing actionable information for water management in the Colorado River Basin under current and future conditions.

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未来变暖下科罗拉多河流量下降的空间归因
对科罗拉多河流域气候变化影响的研究主要集中在流域上游,发现自2000年以来,气候变暖加剧了河流流量的下降。目前,尚不清楚预测的整个流域的高度年际降水变化是否能压倒未来变暖的影响,以及这种变化在空间上的变化方式。为了解决这个问题,我们采用了一个更新的变量入渗能力模型框架来生成整个流域的流量预测。气象数据来自八个最能代表气候学的气候模式的缩小比例的历史和未来气候预测。结果表明,远未来(2066-2095)年平均流量下降(相对于基线,1976-2005)在上流域、下流域和全流域尺度(总体趋势中值为- 5%至- 25%)具有很高的置信度。4 - 9月的变暖导致降雪和融雪减少,上游流域土壤蒸发量增加,下游流域总体降水减少。年径流和基流效率的广泛降低表明,降水增加并不能抵消显著的变暖效应。空间相干性试验表明,在未来情景中,各子流域间的流量相关性保持相对稳定,但与绿河的相关性有所增加。这种空间归因分析为科罗拉多河流域在当前和未来条件下的水管理提供了可操作的信息。
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来源期刊
Journal of Hydrology
Journal of Hydrology 地学-地球科学综合
CiteScore
11.00
自引率
12.50%
发文量
1309
审稿时长
7.5 months
期刊介绍: The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.
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