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Impact of a global temperature rise of 1.5 degrees Celsius on Asia’s glaciers

Nature volume 549, pages 257–260 (2017)Cite this article

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Abstract

Glaciers in the high mountains of Asia (HMA) make a substantial contribution to the water supply of millions of people1,2, and they are retreating and losing mass as a result of anthropogenic climate change3 at similar rates to those seen elsewhere4,5. In the Paris Agreement of 2015, 195 nations agreed on the aspiration to limit the level of global temperature rise to 1.5 degrees Celsius ( °C) above pre-industrial levels. However, it is not known what an increase of 1.5 °C would mean for the glaciers in HMA. Here we show that a global temperature rise of 1.5 °C will lead to a warming of 2.1 ± 0.1 °C in HMA, and that 64 ± 7 per cent of the present-day ice mass stored in the HMA glaciers will remain by the end of the century. The 1.5 °C goal is extremely ambitious and is projected by only a small number of climate models of the conservative IPCC’s Representative Concentration Pathway (RCP)2.6 ensemble. Projections for RCP4.5, RCP6.0 and RCP8.5 reveal that much of the glacier ice is likely to disappear, with projected mass losses of 49 ± 7 per cent, 51 ± 6 per cent and 64 ± 5 per cent, respectively, by the end of the century; these projections have potentially serious consequences for regional water management and mountain communities.

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Figure 1: Relation between radiative forcing, temperature increase and ice mass loss.
Figure 2: Regional temperatures and projected glacier area associated with a 1.5 °C increase.
Figure 3: Future ice mass loss and prevalence of debris-covered glaciers.

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References

  1. Immerzeel, W. W., Van Beek, L. P. H. & Bierkens, M. F. P. Climate change will affect the Asian water towers. Science 328, 1382–1385 (2010)

    Article  ADS  CAS  PubMed  Google Scholar 

  2. Lutz, A. F., Immerzeel, W. W., Shrestha, A. B. & Bierkens, M. F. P. Consistent increase in High Asia’s runoff due to increasing glacier melt and precipitation. Nat. Clim. Chang. 4, 587–592 (2014)

    ADS  Google Scholar 

  3. Marzeion, B., Cogley, J. G., Richter, K. & Parkes, D. Attribution of global glacier mass loss to anthropogenic and natural causes. Science 345, 919–921 (2014)

    ADS  CAS  PubMed  Google Scholar 

  4. Bolch, T. et al. The state and fate of Himalayan Glaciers. Science 336, 310–314 (2012)

    ADS  CAS  Google Scholar 

  5. Kääb, A., Treichler, D., Nuth, C. & Berthier, E. Contending estimates of 2003–2008 glacier mass balance over the Pamir-Karakoram-Himalaya. Cryosphere 9, 557–564 (2015)

    ADS  Google Scholar 

  6. Pepin, N. et al. Elevation-dependent warming in mountain regions of the world. Nat. Clim. Chang. 5, 424–430 (2015)

    ADS  Google Scholar 

  7. Taylor, K. E., Stouffer, R. J. & Meehl, G. A. An overview of CMIP5 and the experiment design. Bull. Am. Meteorol. Soc. 93, 485–498 (2012)

    ADS  Google Scholar 

  8. Pfeffer, W. T. et al. The Randolph Glacier Inventory: a globally complete inventory of glaciers. J. Glaciol. 60, 537–552 (2014)

    ADS  Google Scholar 

  9. Evatt, G. W. et al. Glacial melt under a porous debris layer. J. Glaciol. 61, 825–836 (2015)

    ADS  Google Scholar 

  10. Lejeune, Y., Bertrand, J., Wagnon, P. & Morin, S. A physically based model of the year-round surface energy and mass balance of debris-covered glaciers. J. Glaciol. 59, 327–344 (2013)

    ADS  Google Scholar 

  11. Vincent, C. et al. Reduced melt on debris-covered glaciers: investigations from Changri Nup Glacier, Nepal. Cryosphere 10, 1845–1858 (2016)

    ADS  Google Scholar 

  12. Reid, T. D., Carenzo, M., Pellicciotti, F. & Brock, B. W. Including debris cover effects in a distributed model of glacier ablation. J. Geophys. Res. 117, D18105 (2012)

    ADS  Google Scholar 

  13. Pellicciotti, F., Stephan, C., Miles, E., Immerzeel, W. W. & Bolch, T. Mass balance changes of the debris-covered glaciers in the Langtang Himal in Nepal between 1974 and 1999. J. Glaciol. 61, 373–386 (2015)

    ADS  Google Scholar 

  14. Östrem, G. Ice melting under a thin layer of moraine, and the existence of ice cores in moraine ridges. Geogr. Ann. 41, 228–230 (1959)

    Google Scholar 

  15. Immerzeel, W. W., Pellicciotti, F. & Bierkens, M. F. P. Rising river flows throughout the twenty-first century in two Himalayan glacierized watersheds. Nat. Geosci. 6, 742–745 (2013)

    ADS  CAS  Google Scholar 

  16. Ragettli, S. et al. Unraveling the hydrology of a Himalayan catchment through integration of high resolution in situ data and remote sensing with an advanced simulation model. Adv. Water Resour. 78, 94–111 (2015)

    ADS  Google Scholar 

  17. Linsbauer, A., Paul, F. & Haeberli, W. Modeling glacier thickness distribution and bed topography over entire mountain ranges with GlabTop: Application of a fast and robust approach. J. Geophys. Res. Earth Surf. 117, 1–17 (2012)

    Google Scholar 

  18. Frey, H. et al. Estimating the volume of glaciers in the Himalayan & Karakoram region using different methods. Cryosphere 8, 2313–2333 (2014)

    ADS  Google Scholar 

  19. Kääb, A., Berthier, E., Nuth, C., Gardelle, J. & Arnaud, Y. Contrasting patterns of early twenty-first-century glacier mass change in the Himalayas. Nature 488, 495–498 (2012)

    ADS  PubMed  Google Scholar 

  20. Benn, D. I. & Lehmkuhl, F. Mass balance and equilibrium-line altitudes of glaciers in high-mountain environments. Quat. Int. 66, 15–29 (2000)

    Google Scholar 

  21. Farinotti, D. et al. Substantial glacier mass loss in the Tien Shan over the past 50 years. Nat. Geosci. 8, 716–722 (2015)

    ADS  CAS  Google Scholar 

  22. Gardner, A. S. et al. A reconciled estimate of glacier contributions to sea level rise: 2003 to 2009. Science 340, 852–857 (2013)

    ADS  CAS  PubMed  Google Scholar 

  23. Shea, J. M. & Immerzeel, W. W. An assessment of basin-scale glaciological and hydrological sensitivities in the Hindu Kush - Himalaya. Ann. Glaciol. 57, 308–318 (2016)

    ADS  Google Scholar 

  24. Bliss, A., Hock, R. & Radic´, V. Global response of glacier runoff to twenty-first century climate change. J. Geophys. Res. 119, 1–14 (2014)

    Google Scholar 

  25. Mihalcea, C. et al. Spatial distribution of debris thickness and melting from remote-sensing and meteorological data, at debris-covered Baltoro glacier, Karakoram, Pakistan. Ann. Glaciol. 48, 49–57 (2008)

    ADS  CAS  Google Scholar 

  26. Rounce, D. R., Quincey, D. J. & McKinney, D. C. Debris-covered glacier energy balance model for Imja-Lhotse Shar Glacier in the Everest region of Nepal. Cryosphere 9, 2295–2310 (2015)

    ADS  Google Scholar 

  27. Rowan, A. V., Egholm, D. L., Quincey, D. J. & Glasser, N. F. Modelling the feedbacks between mass balance, ice flow and debris transport to predict the response to climate change of debris-covered glaciers in the Himalaya. Earth Planet. Sci. Lett. 430, 427–438 (2015)

    ADS  CAS  Google Scholar 

  28. Hall, D. K., Riggs, G. A. & Salomonson, V. V. Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data. Remote Sens. Environ. 54, 127–140 (1995)

    ADS  Google Scholar 

  29. Google Earth Engine Team. Google Earth Engine: A Planetary-Scale Geo-Spatial Analysis Platform (2017)

  30. Paul, F., Huggel, C. & Kääb, A. Combining satellite multispectral image data and a digital elevation model for mapping debris-covered glaciers. Remote Sens. Environ. 89, 510–518 (2004)

    ADS  Google Scholar 

  31. Farr, T. et al. The shuttle radar topography mission. Rev. Geophys. 45, RG2004 (2007)

    ADS  Google Scholar 

  32. Immerzeel, W. W. et al. High-resolution monitoring of Himalayan glacier dynamics using unmanned aerial vehicles. Remote Sens. Environ. 150, 93–103 (2014)

    ADS  Google Scholar 

  33. Lillesand, T ., Kiefer, R. W & Chipman, J. Remote Sensing and Image Interpretation 7th Edn (John Wiley & Sons, 2015)

  34. Farinotti, D. et al. How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment. Cryosphere 11, 949–970 (2017)

    ADS  Google Scholar 

  35. Weedon, G. P. et al. Data methodology applied to ERA-Interim reanalysis data. Wat. Resour. Res. 50, 7505–7514 (2014)

    ADS  Google Scholar 

  36. Immerzeel, W. W., Wanders, N., Lutz, A. F., Shea, J. M. & Bierkens, M. F. P. Reconciling high-altitude precipitation in the upper Indus basin with glacier mass balances and runoff. Hydrol. Earth Syst. Sci. 19, 4673–4687 (2015)

    ADS  Google Scholar 

  37. Dee, D. P. et al. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 137, 553–597 (2011)

    ADS  Google Scholar 

  38. Palazzi, E., Von Hardenberg, J. & Provenzale, A. Precipitation in the Hindu-Kush Karakoram Himalaya: observations and future scenarios. J. Geophys. Res. Atmos. 118, 85–100 (2013)

    ADS  Google Scholar 

  39. Dahri, Z. H. et al. An appraisal of precipitation distribution in the high-altitude catchments of the Indus basin. Sci. Total Environ. 548–549, 289–306 (2016)

    ADS  PubMed  Google Scholar 

  40. Foster, L. A., Brock, B. W., Cutler, M. E. J. & Diotri, F. A physically based method for estimating supraglacial debris thickness from thermal band remote-sensing data. J. Glaciol. 58, 677–691 (2012)

    ADS  Google Scholar 

  41. Rounce, D. R. & McKinney, D. C. Debris thickness of glaciers in the Everest Area (Nepal Himalaya) derived from satellite imagery using a nonlinear energy balance model. Cryosphere 8, 1317–1329 (2014)

    ADS  Google Scholar 

  42. Nicholson, L. & Benn, D. I. Properties of natural supraglacial debris in relation to modelling sub-debris ice ablation. Earth Surf. Process. Landf. 38, 490–501 (2013)

    ADS  Google Scholar 

  43. Juen, M., Mayer, C., Lambrecht, A., Han, H. & Liu, S. Impact of varying debris cover thickness on ablation: a case study for Koxkar Glacier in the Tien Shan. Cryosphere 8, 377–386 (2014)

    ADS  Google Scholar 

  44. Mihalcea, C. et al. Ice ablation and meteorological conditions on the debris-covered area of Baltoro glacier, Karakoram, Pakistan. Ann. Glaciol. 43, 292–300 (2006)

    ADS  Google Scholar 

  45. Kayastha, R. B., Takeuchi, Y., Nakawo, M. & Ageta, Y. Practical prediction of ice melting beneath various thickness of debris cover on Khumbu Glacier, Nepal, using a positive degree-day factor. IAHS-AISH Publication 264, 71–81 (2000)

    Google Scholar 

  46. Nicholson, L. I. & Benn, D. I. Calculating ice melt beneath a debris layer using meteorological data. J. Glaciol. 52, 463–470 (2006)

    ADS  Google Scholar 

  47. Collier, E. & Immerzeel, W. W. High-resolution modeling of atmospheric dynamics in the Nepalese Himalaya. J. Geophys. Res. Atmos. 120, 9882–9896 (2015)

    ADS  Google Scholar 

  48. Zhang, Z. et al. Mass change of glaciers in Muztag Ata – Kongur Tagh, Eastern Pamir, China from 1971/76 to 2013/14 as derived from remote sensing data. PLoS One 11, e0147327 (2016)

    PubMed  PubMed Central  Google Scholar 

  49. Yao, T. et al. Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings. Nat. Clim. Chang. 2, 663–667 (2012)

    ADS  Google Scholar 

  50. Gardelle, J., Berthier, E., Arnaud, Y. & Kääb, A. Region-wide glacier mass balances over the Pamir-Karakoram-Himalaya during 1999–2011. Cryosphere 7, 1263–1286 (2013)

    ADS  Google Scholar 

  51. Ke, L., Ding, X. & Song, C. Heterogeneous changes of glaciers over the western Kunlun Mountains based on ICESat and Landsat-8 derived glacier inventory. Remote Sens. Environ. 168, 13–23 (2015)

    ADS  Google Scholar 

  52. Sorg, A., Bolch, T., Stoffel, M., Solomina, O. & Beniston, M. Climate change impacts on glaciers and runoff in Tien Shan (Central Asia). Nat. Clim. Chang. 2, 725–731 (2012)

    Google Scholar 

  53. Cogley, J. G. Geodetic and direct mass-balance measurements: comparison and joint analysis. Ann. Glaciol. 50, 96–100 (2009)

    ADS  Google Scholar 

  54. Marshall, S. J. et al. Glacier water resources on the eastern slopes of the Canadian Rocky Mountains. Can. Water Resour. J. 36, 109–134 (2011)

    Google Scholar 

  55. Scherler, D., Bookhagen, B. & Strecker, M. R. Spatially variable response of Himalayan glaciers to climate change affected by debris cover. Nat. Geosci. 4, 156–159 (2011)

    ADS  CAS  Google Scholar 

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Acknowledgements

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement number 676819), The Netherlands Organization for Scientific Research under the Innovational Research Incentives Scheme VIDI (grant agreement 016.181.308), from the Climate-KIC programme of the European Institute of Innovation & Technology (EIT), and from the UK Government’s Department for International Development and the International Development Research Centre, Canada, through the Himalayan Adaptation, Water and Resilience (HI-AWARE) consortium. We thank E. Berthier and D. Scherler for supplying the validation data.

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Authors and Affiliations

  1. Department of Physical Geography, Utrecht University, PO Box 80115, Utrecht, 3508 TC, The Netherlands

    P. D. A. Kraaijenbrink, M. F. P. Bierkens & W. W. Immerzeel

  2. Deltares, Daltonlaan 600, Utrecht, 3584 BK, The Netherlands

    M. F. P. Bierkens

  3. FutureWater, Costerweg 1V, Wageningen, 6702 AA, The Netherlands

    A. F. Lutz

  4. International Centre for Integrated Mountain Development (ICIMOD), GPO Box 3226, Kathmandu, Nepal

    W. W. Immerzeel

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  1. P. D. A. Kraaijenbrink
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Contributions

W.W.I., P.D.A.K. and M.F.P.B. designed the study; P.D.A.K. performed all analyses; A.F.L. contributed the climate change scenarios; P.D.A.K. and W.W.I. wrote the manuscript with suggestions from M.F.P.B. and A.F.L.

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Correspondence to P. D. A. Kraaijenbrink.

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Reviewer Information Nature thanks J. G. Cogley and D. Farinotti for their contribution to the peer review of this work.

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Kraaijenbrink, P., Bierkens, M., Lutz, A. et al. Impact of a global temperature rise of 1.5 degrees Celsius on Asia’s glaciers. Nature 549, 257–260 (2017). https://doi.org/10.1038/nature23878

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