High uncertainty in 21st century runoff projections from glacierized basins

被引:83
作者
Huss, Matthias [1 ,2 ]
Zemp, Michael [2 ]
Joerg, Philip C. [2 ]
Salzmann, Nadine [1 ]
机构
[1] Univ Fribourg, Dept Geosci, CH-1700 Fribourg, Switzerland
[2] Univ Zurich, Dept Geog, CH-8057 Zurich, Switzerland
关键词
Runoff projection; Glacier; Uncertainty; Modeling; Climate change; DEBRIS-COVERED GLACIERS; MASS-BALANCE MODEL; CLIMATE-CHANGE; ALPINE GLACIERS; SWISS ALPS; WATER AVAILABILITY; CORDILLERA BLANCA; CHANGING CLIMATE; FUTURE RUNOFF; MELT RATES;
D O I
10.1016/j.jhydrol.2013.12.017
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Glacier response to a changing climate and its impact on runoff is understood in general terms, but model-based projections are affected by considerable uncertainties. They originate from the driving climate model, input data quality, and simplifications in the glacio-hydrological model and hamper the reliability of the simulations. Here, an integrative assessment of the uncertainty in 21st century glacier runoff is provided based on experiments using the Glacier Evolution Runoff Model (GERM) applied to the catchment of Findelengletscher, Switzerland. GERM is calibrated and validated in a multi-objective approach and is run using nine Regional Climate Models (RCMs) until 2100. Among others, the hydrological impacts of the RCM downscaling procedure, the winter snow accumulation, the surface albedo and the calculation of ice melt and glacier retreat are investigated. All experiments indicate rapid glacier wastage and a transient runoff increase followed by reduced melt season discharge. However, major uncertainties in, e.g., glacier area loss (-100% to -63%) and the change in annual runoff (-57% to +25% relative to today) by 2100 are found. The impact of model assumptions on changes in August runoff is even higher (-94% to -5%). The spread in RCM results accounts for 20-50% of the overall uncertainty in modeled discharge. Initial ice thickness, the amount and spatial distribution of winter snow and the glacier retreat model have the largest effect on the projections, whereas the RCM downscaling procedure, calibration data quality and the melt model (energy balance vs. degree-day approach) are of secondary importance. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:35 / 48
页数:14
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