Articles | Volume 14, issue 9
https://doi.org/10.5194/tc-14-3215-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-3215-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Sep 2020
Research article |
| 24 Sep 2020
| 24 Sep 2020
Towards understanding the pattern of glacier mass balances in High Mountain Asia using regional climatic modelling
Department of Physical Geography, Utrecht University, P.O. Box 80115, 3508 TC, Utrecht, the Netherlands
Philip D. A. Kraaijenbrink
Department of Physical Geography, Utrecht University, P.O. Box 80115, 3508 TC, Utrecht, the Netherlands
Obbe A. Tuinenburg
Copernicus Institute of Sustainable Development, Utrecht University, P.O. Box 80115, 3508 TC, Utrecht,
the Netherlands
Pleun N. J. Bonekamp
Department of Physical Geography, Utrecht University, P.O. Box 80115, 3508 TC, Utrecht, the Netherlands
Walter W. Immerzeel
Department of Physical Geography, Utrecht University, P.O. Box 80115, 3508 TC, Utrecht, the Netherlands
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Titouan Biget, Fanny Brun, Walter Immerzeel, Leo Martin, Hamish Pritchard, Emily Colier, Yanbin Lei, and Tandong Yao
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Adam Emmer, Simon K. Allen, Mark Carey, Holger Frey, Christian Huggel, Oliver Korup, Martin Mergili, Ashim Sattar, Georg Veh, Thomas Y. Chen, Simon J. Cook, Mariana Correas-Gonzalez, Soumik Das, Alejandro Diaz Moreno, Fabian Drenkhan, Melanie Fischer, Walter W. Immerzeel, Eñaut Izagirre, Ramesh Chandra Joshi, Ioannis Kougkoulos, Riamsara Kuyakanon Knapp, Dongfeng Li, Ulfat Majeed, Stephanie Matti, Holly Moulton, Faezeh Nick, Valentine Piroton, Irfan Rashid, Masoom Reza, Anderson Ribeiro de Figueiredo, Christian Riveros, Finu Shrestha, Milan Shrestha, Jakob Steiner, Noah Walker-Crawford, Joanne L. Wood, and Jacob C. Yde
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Glacial lake outburst floods (GLOFs) have attracted increased research attention recently. In this work, we review GLOF research papers published between 2017 and 2021 and complement the analysis with research community insights gained from the 2021 GLOF conference we organized. The transdisciplinary character of the conference together with broad geographical coverage allowed us to identify progress, trends and challenges in GLOF research and outline future research needs and directions.
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The monsoon is important for the shrinking and growing of glaciers in the Himalaya during summer. We calculate the melt of seven glaciers in the region using a complex glacier melt model and weather data. We find that monsoonal weather affects glaciers that are covered with a layer of rocky debris and glaciers without such a layer in different ways. It is important to take so-called turbulent fluxes into account. This knowledge is vital for predicting the future of the Himalayan glaciers.
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The arid plains of the lower Indus Basin rely heavily on the water provided by the mountainous upper Indus. Rapid population growth in the upper Indus is expected to increase the water that is consumed there. This will subsequently reduce the water that is available for the downstream plains, where the population and water demand are also expected to grow. In future, this may aggravate tensions over the division of water between the countries that share the Indus Basin.
Maurice van Tiggelen, Paul C. J. P. Smeets, Carleen H. Reijmer, Bert Wouters, Jakob F. Steiner, Emile J. Nieuwstraten, Walter W. Immerzeel, and Michiel R. van den Broeke
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We developed a method to estimate the aerodynamic properties of the Greenland Ice Sheet surface using either UAV or ICESat-2 elevation data. We show that this new method is able to reproduce the important spatiotemporal variability in surface aerodynamic roughness, measured by the field observations. The new maps of surface roughness can be used in atmospheric models to improve simulations of surface turbulent heat fluxes and therefore surface energy and mass balance over rough ice worldwide.
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Using only warm season streamflow records, regime and change classifications were produced for ~ 400 watersheds in the Nelson and Mackenzie River basins, and trends in water storage and vegetation were detected from satellite imagery. Three areas show consistent changes: north of 60° (increased streamflow and basin greenness), in the western Boreal Plains (decreased streamflow and basin greenness), and across the Prairies (three different patterns of increased streamflow and basin wetness).
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We provide a global database of moisture flows through the atmosphere using the most recent ERA5 atmospheric reanalysis. Using this database, it is possible to determine where evaporation will rain out again. However, the reverse is also possible, to determine where precipitation originated from as evaporation. This dataset can be used to determine atmospheric moisture recycling rates and therefore how much water is lost for a catchment through the atmosphere.
Cited articles
AIRS Science Team and Teixeira, J.: AIRS/Aqua L3 Monthly Standard Physical
Retrieval (AIRS-only)
Archer, D.: Snow measurement, in: Encyclopedia of Hydrology and Lakes,
Encyclopedia of Earth Science, Springer, Dordrecht, 1998.
Beljaars, A. C. M.: The parametrization of surface fluxes in large scale
models under free convection, Q. J. R. Meteorol. Soc., 121, 255–270,
https://doi.org/10.1002/qj.49712152203, 1995.
Bocchiola, D. and Diolaiuti, G.: Recent (1980–2009) evidence of climate
change in the upper Karakoram, Pakistan, Theor. Appl. Climatol., 113,
611–641, https://doi.org/10.1007/s00704-012-0803-y, 2013.
Bolch, T., Kulkarni, a., Kaab, a., Huggel, C., Paul, F., Cogley, J. G.,
Frey, H., Kargel, J. S., Fujita, K., Scheel, M., Bajracharya, S., and
Stoffel, M.: The State and Fate of Himalayan Glaciers, Science,
336, 310–314, https://doi.org/10.1126/science.1215828, 2012.
Bonekamp, P., de Kok, R., Collier, E., and Immerzeel, W.: Contrasting
meteorological drivers of the glacier mass balance between the Karakoram and
central Himalaya, Front. Earth Sci., 7, https://doi.org/10.3389/feart.2019.00107, 2019.
Bonekamp, P. N. J., Collier, E., and Immerzeel, W.: The Impact of spatial
resolution, land use, and spinup time on resolving spatial precipitation
patterns in the Himalayas, J. Hydrometeorol., 19, 1565–1581,
https://doi.org/10.1175/JHM-D-17-0212.1, 2018.
Brun, F., Berthier, E., Wagnon, P., Kääb, A., and Treichler, D.: A
spatially resolved estimate of High Mountain Asia glacier mass balances from
2000 to 2016, Nat. Geosci., 10, 668–673, https://doi.org/10.1038/ngeo2999, 2017.
Cai, P., Luo, G., He, H., Zhang, M., and Termonia, P.: Agriculture
intensification increases summer precipitation in Tianshan, Atmos. Res.,
227, 140–146, https://doi.org/10.1016/j.atmosres.2019.05.005, 2019.
Cannon, F., Carvalho, L. M. V., Jones, C., and Bookhagen, B.: Multi-annual
variations in winter westerly disturbance activity affecting the Himalaya,
Clim. Dynam., 44, 441–455, https://doi.org/10.1007/s00382-014-2248-8, 2015.
Chen, J. L., Pekker, T., Wilson, C. R., Tapley, B. D., Kostianoy, A. G.,
Cretaux, J. F., and Safarov, E. S.: Long-term Caspian Sea level change,
Geophys. Res. Lett., 44, 6993–7001, https://doi.org/10.1002/2017GL073958, 2017.
Collier, E. and Immerzeel, W. W.: High-resolution modeling of atmospheric
dynamics in the Nepalese Himalayas, J. Geophys. Res.-Atmos., 120,
9882–9896, https://doi.org/10.1002/2015JD023266, 2015.
Cook, B. I., Shukla, S. P., Puma, M. J., and Nazarenko, L. S.: Irrigation as
an historical climate forcing, Clim. Dynam., 44, 1715–1730,
https://doi.org/10.1007/s00382-014-2204-7, 2015.
Copernicus Climate Change Service: ERA5: Fifth generation of ECMWF
atmospheric reanalyses of the global climate, Copernicus Clim. Chang. Serv.
Clim. Data Store, available at: https://cds.climate.copernicus.eu/cdsapp#!/home (last access: 20 September 2005), 2017.
Copernicus Climate Change Service: C3S ERA5-Land reanalysis, Copernicus Clim. Chang. Serv. [online]
available at: https://cds.climate.copernicus.eu/cdsapp#!/home (last access: 5 January 2020), 2019.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S.
B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., Mcnally, A. P., Monge-Sanz, B. M., Morcrette, J. J., Park, B. K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J. N., and Vitart, F.: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system, Q. J. R. Meteorol. Soc., 137, 553–597,
https://doi.org/10.1002/qj.828, 2011.
Dehecq, A., Gourmelen, N., Gardner, A. S., Brun, F., Goldberg, D., Nienow,
P. W., Berthier, E., Vincent, C., Wagnon, P., and Trouvé, E.:
Twenty-first century glacier slowdown driven by mass loss in High Mountain
Asia, Nat. Geosci., 12, 22–27, https://doi.org/10.1038/s41561-018-0271-9, 2019.
de Kok, R. J., Tuinenburg, O. A., Bonekamp, P. N. J., and Immerzeel, W. W.:
Irrigation as a Potential Driver for Anomalous Glacier Behavior in High
Mountain Asia, Geophys. Res. Lett., 45, 2047–2054,
https://doi.org/10.1002/2017GL076158, 2018.
de Kok, R. J., Kraaijenbrink, P. D. A., Tuinenburg, O. A., Bonekamp, P. N. J., and Immerzeel, W. W.: Replication Data for: Snowfall increase counters glacier demise in Kunlun Shan and Karakoram, DataverseNL, V2, https://doi.org/10.34894/YKM4LQ, 2019.
Dlugokencky, E., Lang, P., Mund, J., Crotwell, M., and Thoning, K.:
Atmospheric Carbon Dioxide Dry Air Mole Fractions from the NOAA ESRL Carbon
Cycle Cooperative Global Air Sampling Network, 1968–2017, ftp://aftp.cmdl.noaa.gov/data/trace_gases/co2/flas, last access: March 2018.
Dong, W., Lin, Y., Wright, J. S., Xie, Y., Ming, Y., Zhang, H., Chen, R.,
Chen, Y., Xu, F., Lin, N., Yu, C., Zhang, B., Jin, S., Yang, K., Li, Z.,
Guo, J., Wang, L., and Lin, G.: Regional disparities in warm season rainfall
changes over arid eastern – central Asia, Sci. Rep., 8, 13051,
https://doi.org/10.1038/s41598-018-31246-3, 2018.
Dyer, A. J. and Hicks, B. B.: Flux-gradient relationships in the constant
flux layer, Q. J. R. Meteorol. Soc., 96, 715–721,
https://doi.org/10.1002/qj.49709641012, 1970.
Fang, G., Chen, Y., and Li, Z.: Variation in agricultural water demand and
its attributions in the arid Tarim River Basin, J. Agric. Sci., 156, 301–311, https://doi.org/10.1017/S0021859618000357, 2018.
Farinotti, D., Immerzeel, W. W., De Kok, R. J., Quincey, D. J., and Dehecq,
A.: Manifestations and mechanisms of the Karakoram glacier Anomaly, Nat.
Geosci., 13, 8–16, https://doi.org/10.1038/s41561-019-0513-5, 2020.
Forsythe, N., Fowler, H. J., Li, X.-F., Blenkinsop, S., and Pritchard, D.:
Karakoram temperature and glacial melt driven by regional atmospheric
circulation variability, Nat. Clim. Chang., 7, 664–670, https://doi.org/10.1038/nclimate3361, 2017.
Fowler, H. J. and Archer, D. R.: Conflicting signals of climatic change in
the upper Indus Basin, J. Clim., 19, 4276–4293, https://doi.org/10.1175/JCLI3860.1,
2006.
Gardelle, J., Berthier, E., and Arnaud, Y.: Slight mass gain of Karakoram
glaciers in the early twenty-first century, Nat. Geosci., 5, 322–325,
https://doi.org/10.1038/ngeo1450, 2012.
Gardelle, J., Berthier, E., Arnaud, Y., and Kääb, A.: Region-wide
glacier mass balances over the Pamir-Karakoram-Himalaya during 1999–2011,
The Cryosphere, 7, 1263–1286, https://doi.org/10.5194/tc-7-1263-2013, 2013.
Hasson, S., Böhner, J., and Lucarini, V.: Prevailing climatic trends and runoff response from Hindukush–Karakoram–Himalaya, upper Indus Basin, Earth Syst. Dynam., 8, 337–355, https://doi.org/10.5194/esd-8-337-2017, 2017.
Hewitt, K.: The Karakoram Anomaly? Glacier Expansion and the “Elevation
Effect”, Karakoram Himalaya, Mt. Res. Dev., 25, 332–340,
https://doi.org/10.1659/0276-4741(2005)025[0332:TKAGEA]2.0.CO;2, 2005.
Hong, S.-Y., Noh, Y., and Dudhia, J.: A new vertical diffusion package with
an explicit treatment of entrainment processes, Mon. Weather Rev., 134,
2318–2341, https://doi.org/10.1175/MWR3199.1, 2006.
Iacono, M. J., Delamere, J. S., Mlawer, E. J., Shephard, M. W., Clough, S.
A., and Collins, W. D.: Radiative forcing by long-lived greenhouse gases:
Calculations with the AER radiative transfer models, J. Geophys. Res.-Atmos., 113, 2–9, https://doi.org/10.1029/2008JD009944, 2008.
Immerzeel, W. W., Wanders, N., Lutz, A. F., Shea, J. M., and 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, https://doi.org/10.5194/hess-19-4673-2015, 2015.
Jian, D., Li, X., Sun, H., Tao, H., Jiang, T., Su, B., and Hartmann, H.:
Estimation of Actual Evapotranspiration by the Complementary Theory-Based
Advection–Aridity Model in the Tarim River Basin, China, J. Hydrometeorol., 19, 289–303, https://doi.org/10.1175/JHM-D-16-0189.1, 2018.
Kääb, A., Treichler, D., Nuth, C., and Berthier, E.: Brief
Communication: Contending estimates of 2003–2008 glacier mass balance over
the Pamir-Karakoram-Himalaya, The Cryosphere, 9, 557–564,
https://doi.org/10.5194/tc-9-557-2015, 2015.
Kain, J. S.: The Kain–Fritsch Convective Parameterization: An Update, J. Appl. Meteorol., 43, 170–181, https://doi.org/10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2, 2004.
Kapnick, S. B. S., Delworth, T. L. T., Ashfaq, M., Malyshev, S., and Milly,
P. C. D.: Snowfall less sensitive to warming in Karakoram than in Himalayas
due to a unique seasonal cycle, Nat. Geosci., 7, 834–840,
https://doi.org/10.1038/ngeo2269, 2014.
Khattak, M. S., Babel, M. S., and Sharif, M.: Hydro-meteorological trends in
the upper Indus River basin in Pakistan, Clim. Res., 46, 103–119,
https://doi.org/10.3354/cr00957, 2011.
Kraaijenbrink, P. D. A., Bierkens, M. F. P., Lutz, A. F., and Immerzeel, W.
W.: Impact of a global temperature rise of 1.5 ∘C on Asia's
glaciers, Nature, 549, 257–260, https://doi.org/10.1038/nature23878, 2017.
Lawrimore, J. H., Menne, M. J., Gleason, B. E., Williams, C. N., Wuertz, D.
B., Vose, R. S., and Rennie, J.: Global Historical Climatology Network –
Monthly (GHCN-M), Version 3, NOAA National Centers for Environmental Information, https://doi.org/10.7289/V5X34VDR, 2011.
Lee, E., Sacks, W. J., Chase, T. N., and Foley, J. A.: Simulated impacts of
irrigation on the atmospheric circulation over Asia, J. Geophys. Res.-Atmos., 116, 1–13, https://doi.org/10.1029/2010JD014740, 2011.
Lin, H., Li, G., Cuo, L., Hooper, A., and Ye, Q.: A decreasing glacier mass
balance gradient from the edge of the Upper Tarim Basin to the Karakoram
during 2000–2014, Sci. Rep., 7, 6712,
https://doi.org/10.1038/s41598-017-07133-8, 2017.
Lobell, D. B., Bonfils, C., and Faurès, J. M.: The role of irrigation
expansion in past and future temperature trends, Earth Interact., 12,
1–11, https://doi.org/10.1175/2007EI241.1, 2008.
Lundquist, J., Hughes, M., Gutmann, E., and Kapnick, S.: Our skill in
modeling mountain rain and snow is bypassing the skill of our observational
networks, Bull. Am. Meteorol. Soc., 100, 2473–2490,
https://doi.org/10.1175/BAMS-D-19-0001.1, 2019.
Marshall, S. J., White, E. C., Demuth, M. N., Bolch, T., Wheate, R.,
Menounos, B., Beedle, M. J., and Shea, J. M.: Glacier water resources on the
eastern slopes of the Canadian Rocky Mountains, Can. Water Resour. J., 36, 109–134, https://doi.org/10.4296/cwrj3602823, 2011.
Martens, B., Miralles, D. G., Lievens, H., Van Der Schalie, R., De Jeu, R.
A. M., Fernández-Prieto, D., Beck, H. E., Dorigo, W. A., and Verhoest, N.
E. C.: GLEAM v3: Satellite-based land evaporation and root-zone soil
moisture, Geosci. Model Dev., 10, 1903–1925,
https://doi.org/10.5194/gmd-10-1903-2017, 2017.
Marzeion, B., Hock, R., Anderson, B., Bliss, A., Champollion, N., Fujita,
K., Huss, M., Immerzeel, W., Kraaijenbrink, P., Malles, J., Maussion, F.,
Radić, V., Rounce, D. R., Sakai, A., Shannon, S., Wal, R., and Zekollari,
H.: Partitioning the Uncertainty of Ensemble Projections of Global Glacier
Mass Change, Earth's Future, 8, e2019EF001470, https://doi.org/10.1029/2019ef001470,
2020.
Maurer, J. M., Schaefer, J. M., Rupper, S., and Corley, A.: Acceleration of
ice loss across the Himalayas over the past 40 years, Sci. Adv., 5, 1–12,
https://doi.org/10.1126/sciadv.aav7266, 2019.
Maussion, F., Scherer, D., Mölg, T., Collier, E., Curio, J., and
Finkelnburg, R.: Precipitation seasonality and variability over the Tibetan
Plateau as resolved by the high Asia reanalysis, J. Clim., 27,
1910–1927, https://doi.org/10.1175/JCLI-D-13-00282.1, 2014.
Ménégoz, M., Gallée, H., and Jacobi, H. W.: Precipitation and snow cover in the Himalaya: from reanalysis to regional climate simulations, Hydrol. Earth Syst. Sci., 17, 3921–3936, https://doi.org/10.5194/hess-17-3921-2013, 2013.
Miralles, D. G., Gash, J. H., Holmes, T. R. H., De Jeu, R. A. M., and Dolman,
A. J.: Global canopy interception from satellite observations, J. Geophys. Res.-Atmos., 115, 1–8, https://doi.org/10.1029/2009JD013530, 2010.
Mölg, T., Maussion, F., Collier, E., Chiang, J. C. H., and Scherer, D.:
Prominent midlatitude circulation signature in high Asia's surface climate
during monsoon, J. Geophys. Res.-Atmos., 122, 12702–12712,
https://doi.org/10.1002/2017JD027414, 2017.
Morrison, H., Thompson, G., and Tatarskii, V.: Impact of Cloud Microphysics
on the Development of Trailing Stratiform Precipitation in a Simulated
Squall Line: Comparison of One- and Two-Moment Schemes, Mon. Weather Rev., 137, 991–1007, https://doi.org/10.1175/2008MWR2556.1, 2009.
Niu, G. Y., Yang, Z. L., Mitchell, K. E., Chen, F., Ek, M. B., Barlage, M.,
Kumar, A., Manning, K., Niyogi, D., Rosero, E., Tewari, M., and Xia, Y.: The
community Noah land surface model with multiparameterization options
(Noah-MP): 1. Model description and evaluation with local-scale
measurements, J. Geophys. Res.-Atmos., 116, 1–19,
https://doi.org/10.1029/2010JD015139, 2011.
Norris, J., Carvalho, L. M. V., Jones, C., and Cannon, F.: WRF simulations of
two extreme snowfall events associated with contrasting extratropical
cyclones over the western and central Himalaya, J. Geophys. Res.-Atmos.,
120, 3114–3138, https://doi.org/10.1002/2014JD022592, 2015.
Norris, J., Carvalho, L. M. V., Jones, C., and Cannon, F.: Deciphering the
contrasting climatic trends between the central Himalaya and Karakoram with
36 years of WRF simulations, Clim. Dynam., 52, 159–180,
https://doi.org/10.1007/s00382-018-4133-3, 2018.
Östrem, G.: Ice Melting under a Thin Layer of Moraine, and the Existence
of Ice Cores in Moraine Ridges, Geogr. Ann., 41, 228–230,
https://doi.org/10.1080/20014422.1959.11907953, 1959.
Otte, T. L., Nolte, C. G., Otte, M. J., and Bowden, J. H.: Does nudging
squelch the extremes in regional climate modeling?, J. Clim., 25,
7046–7066, https://doi.org/10.1175/JCLI-D-12-00048.1, 2012.
Palazzi, E., Von Hardenberg, J. and Provenzale, A.: Precipitation in the
hindu-kush karakoram himalaya: Observations and future scenarios, J. Geophys. Res.-Atmos., 118, 85–100, https://doi.org/10.1029/2012JD018697, 2013.
Paulson, C. A.: The Mathematical Representation of Wind Speed and
Temperature Profiles in the Unstable Atmospheric Surface Layer, J. Appl.
Meteorol., 9, 857–861, https://doi.org/10.1175/1520-0450(1970)009<0857:TMROWS>2.0.CO;2, 1970.
Peng, D. and Zhou, T.: Why was the arid and semiarid Northwest China getting
wetter in the recent decades?, J. Geophys. Res.-Atmos., 122, 9060–9075,
https://doi.org/10.1002/2016JD026424, 2017.
Peng, D., Zhou, T., Zhang, L., and Wu, B.: Human Contribution to the
Increasing Summer Precipitation in Central Asia from 1961 to 2013, Clim. Dynam., 31, 8005–8021, https://doi.org/10.1175/JCLI-D-17-0843.1, 2018.
Pfeffer, W. T., Arendt, A. A., Bliss, A., Bolch, T., Cogley, J. G., Gardner,
A. S., Hagen, J. O., Hock, R., Kaser, G., Kienholz, C., Miles, E. S.,
Moholdt, G., Mölg, N., Paul, F., Radić, V., Rastner, P., Raup, B. H.,
Rich, J., Sharp, M. J., Andreassen, L. M., Bajracharya, S., Barrand, N. E.,
Beedle, M. J., Berthier, E., Bhambri, R., Brown, I., Burgess, D. O.,
Burgess, E. W., Cawkwell, F., Chinn, T., Copland, L., Cullen, N. J., Davies,
B., De Angelis, H., Fountain, A. G., Frey, H., Giffen, B. A., Glasser, N.
F., Gurney, S. D., Hagg, W., Hall, D. K., Haritashya, U. K., Hartmann, G.,
Herreid, S., Howat, I., Jiskoot, H., Khromova, T. E., Klein, A., Kohler, J.,
König, M., Kriegel, D., Kutuzov, S., Lavrentiev, I., Le Bris, R., Li, X.,
Manley, W. F., Mayer, C., Menounos, B., Mercer, A., Mool, P., Negrete, A.,
Nosenko, G., Nuth, C., Osmonov, A., Pettersson, R., Racoviteanu, A., Ranzi,
R., Sarikaya, M. A., Schneider, C., Sigurdsson, O., Sirguey, P., Stokes, C.
R., Wheate, R., Wolken, G. J., Wu, L. Z., and Wyatt, F. R.: The randolph
glacier inventory: A globally complete inventory of glaciers, J. Glaciol.,
60, 537–552, https://doi.org/10.3189/2014JoG13J176, 2014.
Prinn, R. G., Weiss, R. F., Simmonds, P. J. F. P. G., Cunnold, D. M., Alyea,
F. N., Doherty, S. O., Salameh, P., Miller, B. R., Huang, J., Wang, R. H.
J., Hartley, D. E., Harth, C., Steele, L. P., Sturrock, G., Midgley, P. M.,
and Mcculloch, A.: A history of chemically and radiatively important gases
in air deduced from ALE_GAGE_AGAGE, J. Geophys. Res.-Atmos., 105, 17751–17792, 2000.
Puma, M. J. and Cook, B. I.: Effects of irrigation on global climate during
the 20th century, J. Geophys. Res.-Atmos., 115, 1–15,
https://doi.org/10.1029/2010JD014122, 2010.
Rodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Meng,
C.-J., Arsenault, K., Cosgrove, B., Radakovich, J., Bosilovich, M., Entin*,
J. K., Walker, J. P., Lohmann, D., and Toll, D.: The Global Land Data
Assimilation System, Bull. Am. Meteorol. Soc., 85, 381–394,
https://doi.org/10.1175/BAMS-85-3-381, 2004.
Sacks, W. J., Cook, B. I., Buenning, N., Levis, S., and Helkowski, J. H.:
Effects of global irrigation on the near-surface climate, Clim. Dynam.,
33, 159–175, https://doi.org/10.1007/s00382-008-0445-z, 2009.
Sakai, A. and Fujita, K.: Contrasting glacier responses to recent climate
change in high-mountain Asia, Sci. Rep., 7, 13717,
https://doi.org/10.1038/s41598-017-14256-5, 2017.
Senay, G. B.: Satellite psychrometric formulation of the operational
simplified surface energy balance (SSEBOP) model for quantiying and mapping
evapotranspiration, Appl. Eng. Agric., 34, 555–566, https://doi.org/10.13031/aea.12614, 2018.
Siebert, S., Burke, J., Faures, J. M., Frenken, K., Hoogeveen, J., Döll, P., and Portmann, F. T.: Groundwater use for irrigation – a global inventory, Hydrol. Earth Syst. Sci., 14, 1863–1880, https://doi.org/10.5194/hess-14-1863-2010, 2010.
Skamarock, W. C. and Klemp, J. B.: A time-split nonhydrostatic atmospheric
model for weather research and forecasting applications, J. Comput. Phys.,
227, 3465–3485, https://doi.org/10.1016/j.jcp.2007.01.037, 2008.
Susskind, J., Blaisdell, J. M., and Iredell, L.: Improved methodology for
surface and atmospheric soundings, error estimates, and quality control
procedures: the atmospheric infrared sounder science team version-6
retrieval algorithm, J. Appl. Remote Sens., 8, 084994,
https://doi.org/10.1117/1.jrs.8.084994, 2014.
Tuinenburg, O. A., Hutjes, R. W. A. and Kabat, P.: The fate of evaporated
water from the Ganges basin, J. Geophys. Res.-Atmos., 117, 1–17,
https://doi.org/10.1029/2011JD016221, 2012.
van Beek, L. P. H. and Bierkens, M. F. P.: The Global Hydrological Model
PCR-GLOBWB: Conceptualization, Parameterization and Verification, Utr. Univ.
Dep. Phys. Geogr., available at: http://vanbeek.geo.uu.nl/suppinfo/vanbeekbierkens2009.pdf (last access: March 2018), 2008.
van Beek, L. P. H., Wada, Y., and Bierkens, M. F. P.: Global monthly water
stress: 1. Water balance and water availability, Water Resour. Res., 47, 7,
https://doi.org/10.1029/2010WR009791, 2011.
Van der Esch, S., Ten Brink, B., Stehfest, E., Bakkenes, M., Sewell, A.,
Bouwman, A., Meijer, J., Westhoek, H., and Van den Berg, M.: Exploring future
changes in land use and land condition and the impacts on food, water,
climate change and biodiversity Scenarios for the UNCCD Global Land Outlook
Policy Report, PBL Rep., available at: https://www.pbl.nl/en/publications/exploring-future-changes-in-land-use (last access: March 2018),
2017.
Wada, Y., Van Beek, L. P. H., Viviroli, D., Drr, H. H., Weingartner, R., and
Bierkens, M. F. P.: Global monthly water stress: 2. Water demand and
severity of water stress, Water Resour. Res., 47, 1–17,
https://doi.org/10.1029/2010WR009792, 2011.
Wada, Y., Wisser, D., and Bierkens, M. F. P.: Global modeling of withdrawal, allocation and consumptive use of surface water and groundwater resources, Earth Syst. Dynam., 5, 15–40, https://doi.org/10.5194/esd-5-15-2014, 2014.
Wang, R., Liu, S., Shangguan, D., Radic, V., and Zhang, Y.: Spatial
Heterogeneity in Glacier Mass-Balance Sensitivity across High Mountain Asia,
Water, 11, 776, https://doi.org/10.3390/w11040776, 2019.
Waqas, A. and Athar, H.: Recent decadal variability of daily observed
temperatures in Hindukush, Karakoram and Himalaya region in northern
Pakistan, Clim. Dynam., 52, 6931–6951, https://doi.org/10.1007/s00382-018-4557-9, 2018.
Webb, E. K.: Profile relationships: The log-linear range, and extension to
strong stability, Q. J. R. Meteorol. Soc., 96, 67–90,
https://doi.org/10.1002/qj.49709640708, 1970.
Weedon, G. P., Balsamo, G., Bellouin, N., Gomes, S., Best, M. J., and
Viterbo, P.: The WFDEI meteorological forcing data set: WATCH Forcing Data
methodology applied to ERA-Interim reanalysis data, Water Resour. Res., 50,
7505–7514, https://doi.org/10.1002/2014WR015638, 2014.
Xu, Z., Liu, Z., Fu, G., and Chen, Y.: Trends of major hydroclimatic
variables in the Tarim River basin during the past 50 years, J. Arid
Environ., 74, 256–267, https://doi.org/10.1016/j.jaridenv.2009.08.014, 2010.
Zhang, D. and Anthes, R. A.: A High-Resolution Model of the Planetary
Boundary Layer – Sensitivity Tests and Comparisons with SESAME-79 Data, J.
Appl. Meteorol., 21, 1594–1609, https://doi.org/10.1175/1520-0450(1982)021<1594:AHRMOT>2.0.CO;2, 1982.
Short summary
Glaciers worldwide are shrinking, yet glaciers in parts of High Mountain Asia are growing. Using models of the regional climate and glacier growth, we reproduce the observed patterns of glacier growth and shrinkage in High Mountain Asia of the last decades. Increases in snow, in part from water that comes from lowland agriculture, have probably been more important than changes in temperature to explain the growing glaciers. We now better understand changes in the crucial mountain water cycle.
Glaciers worldwide are shrinking, yet glaciers in parts of High Mountain Asia are growing. Using...
