globalchange  > 气候变化事实与影响
DOI: doi:10.1038/nclimate2237
论文题名:
Consistent increase in High Asia's runoff due to increasing glacier melt and precipitation
作者: A. F. Lutz
刊名: Nature Climate Change
ISSN: 1758-1279X
EISSN: 1758-7399
出版年: 2014-06-01
卷: Volume:4, 页码:Pages:587;592 (2014)
语种: 英语
英文关键词: Hydrology ; Water resources ; Climate-change impacts ; Climate and Earth system modelling
英文摘要:

Rivers originating in the high mountains of Asia are among the most meltwater-dependent river systems on Earth, yet large human populations depend on their resources downstream1. Across High Asia’s river basins, there is large variation in the contribution of glacier and snow melt to total runoff2, which is poorly quantified. The lack of understanding of the hydrological regimes of High Asia’s rivers is one of the main sources of uncertainty in assessing the regional hydrological impacts of climate change3. Here we use a large-scale, high-resolution cryospheric–hydrological model to quantify the upstream hydrological regimes of the Indus, Ganges, Brahmaputra, Salween and Mekong rivers. Subsequently, we analyse the impacts of climate change on future water availability in these basins using the latest climate model ensemble. Despite large differences in runoff composition and regimes between basins and between tributaries within basins, we project an increase in runoff at least until 2050 caused primarily by an increase in precipitation in the upper Ganges, Brahmaputra, Salween and Mekong basins and from accelerated melt in the upper Indus Basin. These findings have immediate consequences for climate change policies where a transition towards coping with intra-annual shifts in water availability is desirable.

In general, the climate in the eastern part of the Himalayas is characterized by the East-Asian and Indian monsoon systems, causing the bulk of precipitation to occur during June–September (Supplementary Fig. 4). The precipitation intensity shows a strong north–south gradient caused by orographic effects4. Precipitation patterns in the Hindu Kush and Karakoram ranges in the west are characterized by westerly and southwesterly flows, causing the precipitation to fall more equally distributed over the year5 (Supplementary Fig. 4). In the Karakoram, up to two-thirds of the annual high-altitude precipitation occurs during the winter months6, 7. In addition, basin hypsometry determines the ratio of solid and liquid precipitation within a basin. Solid precipitation can be stored long-term as perennial snow, and ice or short-term as seasonal snow before turning into runoff by melting, whereas liquid precipitation runs off directly. Each of these runoff components can be further delayed by infiltration into the soil and recharge to groundwater. The magnitude of the contribution of each of these runoff components to the total runoff determines a basin’s runoff composition and to a large extent also its response to climate variability and change.

Climate change impact assessments are characterized by large uncertainties stemming from large variation in climate change projections between different general circulation models8 (GCMs), large regional variation in climate projections and uncertainties in the associated response of the cryosphere9, 10. In addition, the present-day hydrological regime is not well understood, constituting a major source of uncertainty in the assessment of climate change impact for hydrology in High Asia. Thus, detailed and comprehensive assessments of the future water availability in the region are only possible once the present hydrological regime is better quantified3.

Although methods to quantify meltwater contribution exist, high-resolution modelling studies focus on small-scale watersheds11. High-resolution approaches that explicitly simulate ice dynamics, necessary to simulate the transient response to climate change, are even scarcer12. On the other hand, large-scale assessments in the region are often qualitative2, 13 or include crude assumptions and simplifications to simulate the response of the cryosphere to climate change, which cannot be resolved at low resolution1, 14, 15, 16. In this study we close this scale gap by implementing a large-scale modelling approach at such a resolution that allows accurate simulation of key hydro-cryospheric processes. Only by using a distributed hydrological modelling approach incorporating transient changes in climate, snow cover, glacier dynamics and runoff, appropriate adaptation and mitigation strategies can be developed17.

Here we use a fully distributed, high-resolution cryospheric–hydrological model (Supplementary Methods and Data) to assess upstream runoff composition in five major Asian river basins (Fig. 1) and we demonstrate how runoff composition and total runoff volume are expected to change until 2050 by forcing this model with an ensemble of the latest GCM outputs.

Figure 1: The upstream basins of Indus, Ganges, Brahmaputra, Salween and Mekong.
The upstream basins of Indus, Ganges, Brahmaputra, Salween and Mekong.

Bar plots show the average annual runoff generation (TR) for the reference period (1998–2007, REF; first column). The second column shows the mean projected annual total runoff (PTR) for the future (2041–2050 RCP4.5) when the model is forced with an ensemble of 4 GCMs. In the subsequent columns, PTR is split into four contributors (BF: baseflow, GM: glacier melt, SM: snow melt, RR: rainfall runoff). Error bars indicate the spread in model outputs for the model forced by the ensemble of 4 GCMs.

We use a fully distributed, high-resolution (1 × 1 km, daily time step) cryospheric–hydrological model designed specifically for application at the large river basin scale. The model includes all major hydrological as well as cryospheric processes, allowing the quantification of the contribution of glacier melt, snow melt, direct rainfall runoff and baseflow to the total flow. To determine the contribution of each of the four components to the total runoff within a grid cell, the grid cell surface is divided into fractions. The ice cover is obtained from an updated version of the Randolph Glacier Inventory23 provided by ICIMOD, and is described as a fractional glacier cover ranging from 0 (no ice cover) to 1 (complete ice cover) to account for sub-grid variability in glacier coverage. Glacier melt is simulated using a degree-day modelling approach with different melt factors for debris-free glaciers and debris-covered glaciers. Debris-covered and debris-free glaciers are distinguished by slope and elevation thresholds. For the remaining fraction of the grid cell the model maintains a dynamic snow storage, where snow melt is simulated using a degree-day modelling approach. Refreezing of melt water within the snow storage is also explicitly included. Below the snow storage and in areas without glaciers or snow, a variable soil water storage is maintained to derive the amount of rainfall runoff and infiltration to groundwater. The soil is split into a root zone layer and a subsoil layer with quantitative soil properties, estimated using pedotransfer functions24 and soil type25. Calculated soil water fluxes include evapotranspiration, surface runoff, lateral drainage, water exchange between the rootzone and subsoil through percolation and capillary rise. The groundwater is recharged from the subsoil and releases water as baseflow. Future glacier changes are simulated applying a recently developed parameterization for glacier changes at the large river basin scale20. The model is initially set up for a ten-year reference period (1998–2007) using large-scale meteorological forcing data sets26, 27 and calibrated to observed stream flow. For the future projections, we use the delta change approach28, to force the model with the latest climate model ensemble generated for the fifth assessment report of the Intergovernmental Panel on Climate Change by the fifth phase of the Climate Model Intercomparison Project29. We do this for two RCPs: RCP4.5 and RCP8.5. For each RCP, four GCMs are selected covering the 10–90 percentile-space in the range of projections for temperature change as well as precipitation change (Supplementary Table 5). Details on the methodology and data sets used can be found in the Supplementary Information.

Data produced in this study can be requested from the corresponding author.

  1. Schaner, N., Voisin, N., Nijssen, B. & Lettenmaier, D. P. The contribution of glacier melt to streamflow. Environ. Res. Lett. 7, 034029 (2012).
  2. Immerzeel, W. W. & Bierkens, M. F. P. Asia’s water balance. Nature Geosci. 5, 841842 (2012).
  3. Miller, J. D., Immerzeel, W. W. & Rees, G. Climate change impacts on glacier hydrology and river discharge in the Hindu Kush–Himalayas. A synthesis of the scientific basis. Mt. Res. Dev. 32, 461467 (2012).
  4. Galewsky, J. Rain shadow development during the growth of mountain ranges: An atmospheric dynamics perspective. J. Geophys. Res. 114, F01018 (2009).
  5. Bookhagen, B. & Burbank, D. W. Towards a complete Himalayan hydrological budget: Spatiotemporal distribution of snowmelt and rainfall and their impact on river discharge. J. Geophys. Res. 115, 125 (2010).
  6. Hewitt, K. Glacier change, concentration, and elevation effects in the Karakoram Himalaya, upper Indus Basin. Mt. Res. Dev. 31, 188200 (2011).
  7. Winiger, M., Gumpert, M. & Yamout, H. Karakorum-Hindukush-western Himalaya: Assessing high-altitude water resources. Hydrol. Process. 19, 23292338 (2005).
  8. Hawkins, E. & Sutton, R. The potential to narrow uncertainty in projections of regional precipitation change. Clim. Dynam. 37, 407418 (2010).
  9. Bolch, T. et al. The state and fate of Himalayan Glaciers. Science 336, 310314 (2012).
  10. Radić, V. & Hock, R. Glaciers in the earth’s hydrological cycle: Assessments of glacier mass and runoff changes on global and regional scales. Surv. Geophys. 35, 813837 (2014).
  11. Frenierre, J. La & Mark, B. G. A review of methods for estimating the contribution of glacial meltwater to total watershed discharge. Prog. Phys. Geogr. 128 (2014).
  12. Immerzeel, W. W., Pellicciotti, F. & Bierkens, M. F. P. Rising river flows throughout the twenty-first century in two Himalayan glacierized watersheds. Nature Geosci. 6, 14 (2013).
URL: http://www.nature.com/nclimate/journal/v4/n7/full/nclimate2237.html
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/5102
Appears in Collections:气候变化事实与影响
科学计划与规划
气候变化与战略

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A. F. Lutz. Consistent increase in High Asia's runoff due to increasing glacier melt and precipitation[J]. Nature Climate Change,2014-06-01,Volume:4:Pages:587;592 (2014).
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