Climate sensitivity of the summer runoff of two glacierised Himalayan catchments with contrasting climate

Laha, Sourav; Banerjee, Argha; Singh, Ajit; Sharma, Parmanand; Thamban, Meloth

doi:https://doi.org/10.5194/hess-27-627-2023

Articles | Volume 27, issue 2

https://doi.org/10.5194/hess-27-627-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-27-627-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 27, issue 2

Research article

|

01 Feb 2023

Research article |

| 01 Feb 2023

Climate sensitivity of the summer runoff of two glacierised Himalayan catchments with contrasting climate

Sourav Laha, Argha Banerjee, Ajit Singh, Parmanand Sharma, and Meloth Thamban

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Cited articles

Amante, C. and Eakins, B. W.: ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis, NOAA Technical Memorandum NESDIS NGDC-24, National Geophysical Data Center, NOAA, https://doi.org/10.7289/V5C8276M, 2009. a

Anderson, B., Mackintosh, A., Stumm, D., George, L., Kerr, T., Winter-Billington, A., and Fitzsimons, S. Climate sensitivity of a high-precipitation glacier in New Zealand, J. Glaciol., 56, 114-128, https://doi.org/10.3189/002214310791190929, 2010. a

Andreadis, K. M., Storck, P., and Lettenmaier, D. P.: Modeling snow accumulation and ablation processes in forested environments, Water Resour. Res., 45, W05429, https://doi.org/10.1029/2008WR007042, 2009. a

Azam, M. F. and Srivastava, S.: Mass balance and runoff modelling of partially debris-covered Dokriani Glacier in monsoon-dominated Himalaya using ERA5 data since 1979, J. Hydrol., 590, 125432, https://doi.org/10.1016/j.jhydrol.2020.125432, 2020. a, b, c, d, e, f, g, h, i, j, k, l, m

Azam, M. F., Wagnon, P., Vincent, C., Ramanathan, A., Linda, A., and Singh, V. B.: Reconstruction of the annual mass balance of Chhota Shigri glacier, Western Himalaya, India, since 1969, Ann. Glaciol., 55, 69–80, https://doi.org/10.3189/2014AoG66A104, 2014. a

Azam, M. F., Wagnon, P., Vincent, C., Ramanathan, A. L., Kumar, N., Srivastava, S., Pottakkal, J. G., and Chevallier, P.: Snow and ice melt contributions in a highly glacierized catchment of Chhota Shigri Glacier (India) over the last five decades, J. Hydrol., 574, 760–773, https://doi.org/10.1016/j.jhydrol.2019.04.075, 2019. a, b, c, d, e, f, g, h

Azam, M. F., Kargel, J. S., Shea, J. M., Nepal, S., Haritashya, U. K., Srivastava, S., Maussion, F., Qazi, N., Chevallier, P., Dimri, A. P., Kulkarni, A. V., Graham, C. J., and Bahuguna, I.: Glaciohydrology of the Himalaya-Karakoram, Science, 373, eabf3668, https://doi.org/10.1126/science.abf3668, 2021. a, b, c

Banerjee, A.: A weak precipitation sensitivity of glacier runoff, Geophys. Res. Lett., 49, e2021GL096989, https://doi.org/10.1029/2021GL096989, 2022. a, b, c, d, e, f

Banerjee, A., Patil, D., and Jadhav, A.: Possible biases in scaling-based estimates of glacier change: a case study in the Himalaya, The Cryosphere, 14, 3235–3247, https://doi.org/10.5194/tc-14-3235-2020, 2020. a

Beven, K. and Freer, J.: Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology, J. Hydrol., 249, 11–29, https://doi.org/10.1016/S0022-1694(01)00421-8, 2001. a

Bhattacharya, T., Khare, D., and Arora, M.: A case study for the assessment of the suitability of gridded reanalysis weather data for hydrological simulation in Beas river basin of North Western Himalaya, Appl. Water Sci., 9, 110, https://doi.org/10.1007/s13201-019-0993-x, 2019. a, b, c, d, e

Bolch, T., Pieczonka, T., and Benn, D. I.: Multi-decadal mass loss of glaciers in the Everest area (Nepal Himalaya) derived from stereo imagery, The Cryosphere, 5, 349–358, https://doi.org/10.5194/tc-5-349-2011, 2011. a

Brun, F., Berthier, E., Wagnon, P., Kaab, 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. a

Chandel, V. S. and Ghosh, S.: Components of Himalayan River Flows in a Changing Climate, Water Resour. Res., 57, e2020WR027589, https://doi.org/10.1029/2020WR027589, 2021. a, b, c, d, e, f, g

Chen, J. and Ohmura, A.: On the influence of Alpine glaciers on runoff, IAHS Publ., 193, 117–125, 1990. a, b, c, d, e, f

Chevallier, P., Delclaux, F., Wagnon, P., Neppel, L., Arnaud, Y., Esteves, M., Koirala, D., Lejeune, Y., Hernandez, F., Muller, R., Chazarin, J.-P., Boyer, J.-F., and Sacareau, I.: Paprika – Preshine hydrology data sets in the Everest Region (Nepal), 2010–18, PAPREDATA [data set], https://doi.org/10.23708/000521, 2017. a, b, c, d

Dooge, J. C. I., Bruen, M., and Parmentier, B.: A simple model for estimating the sensitivity of runoff to long-term changes in precipitation without a change in vegetation, Adv. Water Resour., 23, 153–163, https://doi.org/10.1016/S0309-1708(99)00019-6, 1999. a

Engelhardt, M., Schuler, T. V., and Andreassen, L. M.: Sensitivities of glacier mass balance and runoff to climate perturbations in Norway, Ann. Glaciol., 56, 79–88, https://doi.org/10.3189/2015AoG70A004, 2015. a

Engelhardt, M., Ramanathan, A. L., Eidhammer, T., Kumar, P., Landgren, O., Mandal, A., and Rasmussen, R.: Modelling 60 years of glacier mass balance and runoff for chhota shigri glacier, western himalaya, northern India, J. Glaciol., 63, 618–628, https://doi.org/10.1017/jog.2017.29, 2017. a

Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., and Alsdorf, D.: The shuttle radar topography mission, Rev. Geophys., 45, RG2004, https://doi.org/10.1029/2005RG000183, 2007. a

Fischer, G., Nachtergaele, F., Prieler, S., van Velthuizen, H. T., Verelst, L., and Wiberg, D.: Global Agro-ecological Zones Assessment for Agriculture (GAEZ 2008), IIASA, Laxenburg, Austria and FAO, Rome, Italy, https://www.fao.org/soils-portal/data-hub/soil-maps-and-databases/harmonized-world-soil-database-v12/en/ (last access: 23 January 2023), 2008. a

Friedl, M. and Sulla-Menashe, D.: MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500 m SIN Grid V006, NASA EOSDIS Land Processes DAAC [data set], https://doi.org/10.5067/MODIS/MCD12Q1.006, 2019. a

Fujita, K.: Effect of precipitation seasonality on climatic sensitivity of glacier mass balance, Earth Planet. Sc. Lett., 276, 14–19, https://doi.org/10.1016/j.epsl.2008.08.028, 2008. a

Fujita, K. and Sakai, A.: Modelling runoff from a Himalayan debris-covered glacier, Hydrol. Earth Sys. Sci., 18, 2679–2694. https://doi.org/10.5194/hess-18-2679-2014, 2014. a, b, c, d, e

Gardelle, J., Berthier, E., and Arnaud, Y.: Impact of resolution and radar penetration on glacier elevation changes computed from DEM differencing, J. Glaciol., 58, 419-422, https://doi.org/10.3189/2012JoG11J175, 2012. a

Hamman, J.: VIC 4.2.d source code, GitHub [code], https://github.com/UW-Hydro/VIC/releases/tag/VIC.4.2.d (last access: 23 January 2023), 2016. a

Hannah, D. M. and Gurnell, A. M.: A conceptual, linear reservoir runoff model to investigate melt season changes in cirque glacier hydrology, J. Hydrol., 246, 123–141, https://doi.org/10.1016/S0022-1694(01)00364-X, 2001. a, b

He, Z.: Sensitivities of hydrological processes to climate changes in a Central Asian glacierized basin, Front. Water, 3, 46, https://doi.org/10.3389/frwa.2021.683146, 2021. a

Herreid, S. and Pellicciotti, F.: The state of rock debris covering Earth’s glaciers, Nat. Geosci., 13, 621–627, https://doi.org/10.1038/s41561-020-0615-0, 2020. a

Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Munoz-Sabater, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., Chiara, G. D., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Hogan, R., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.: The ERA5 global reanalysis, Q. J. Roy. Meteorol. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020. a, b, c

Hock, R.: Temperature index melt modelling in mountain areas, J. Hydrol., 282, 104–115, https://doi.org/10.1016/S0022-1694(03)00257-9, 2003. a, b, c

Hock, R., Jansson, P., and Braun, L. N.: Modelling the response of mountain glacier discharge to climate warming, in: Global change and mountain regions, Springer, Dordrecht, 243–252, https://doi.org/10.1007/1-4020-3508-X_25, 2005. a

Huss, M. and Hock, R.: A new model for global glacier change and sea-level rise, Front. Earth Sci., 3, 54, https://doi.org/10.3389/feart.2015.00054, 2015. a, b, c

Huss, M. and Hock, R.: Global-scale hydrological response to future glacier mass loss, Nat. Clim. Change, 8, 135–140, https://doi.org/10.1038/s41558-017-0049-x, 2018. a, b, c, d, e, f, g, h, i, j, k, l

Johnson, E. and Rupper, S.: An examination of physical processes that trigger the albedo-feedback on glacier surfaces and implications for regional glacier mass balance across High Mountain Asia, Front. Earth Sci., 8, 129, https://doi.org/10.3389/feart.2020.00129, 2020. a

Jost, G., Moore, R. D., Menounos, B., and Wheate, R.: Quantifying the contribution of glacier runoff to streamflow in the upper Columbia River Basin, Canada, Hydrol. Earth Syst. Sci., 16, 849–860, https://doi.org/10.5194/hess-16-849-2012, 2012. a, b

Khadka, D., Babel, M. S., Shrestha, S., Tripathi, N. K.: Climate change impact on glacier and snow melt and runoff in Tamakoshi basin in the Hindu Kush Himalayan (HKH) region, J. Hydrol., 511, 49–60, https://doi.org/10.1016/j.jhydrol.2014.01.005, 2014. a

King, O., Quincey, D. J., Carrivick, J. L., and Rowan, A. V.: Spatial variability in mass loss of glaciers in the Everest region, central Himalayas, between 2000 and 2015, The Cryosphere, 11, 407–426, https://doi.org/10.5194/tc-11-407-2017, 2017. a

Koppes, M., Rupper, S., Asay, M., and Winter-Billington, A.: Sensitivity of glacier runoff projections to baseline climate data in the Indus River basin, Front. Earth Sci., 3, 59, https://doi.org/10.3389/feart.2015.00059, 2015. a

Kraaijenbrink, P. D. A., Bierkens, M. F. P., Lutz, A. F., and Immerzeel, W. W.: Impact of a global temperature rise of 1.5 degrees Celsius on Asias glaciers, Nature, 549, 257–260, https://doi.org/10.1038/nature23878, 2017. a, b, c, d, e

Kumar, P., Saharwardi, M. S., Banerjee, A., Azam, M. F., Dubey, A. K., and Murtugudde, R.: Snowfall variability dictates glacier mass balance variability in Himalaya-Karakoram, Scient. Rep., 9, 1–9, https://doi.org/10.1038/s41598-019-54553-9, 2019. a, b

Laha, S.: Codes for the preprint: Climate sensitivity of the summer runoff of two glacierised Himalayan catchments with contrasting climate, OSF [code], https://osf.io/7une2 (last access: 23 January 2023), 2022. a

Laha, S., Kumari, R., Singh, S., Mishra, A., Sharma, T., Banerjee, A., Nainwal, H. C., and Shankar, R.: Evaluating the contribution of avalanching to the mass balance of Himalayan glaciers, Ann. Glaciol., 58, 110–118, https://doi.org/10.1017/aog.2017.27, 2017. a

Lang, H.: Forecasting meltwater runoff from snow-covered areas and from glacier basins, In River flow modelling and forecasting, Springer, Dordrecht, 99–127, https://doi.org/10.1007/978-94-009-4536-4_5, 1986. a

Liang, X., Wood, E. F., and Lettenmaier, D. P.: Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification, Global Planet. Change, 13, 195–206, https://doi.org/10.1016/0921-8181(95)00046-1, 1996. a, b, c, d, e, f, g, h

Lohmann, D., Raschke, E., Nijssen, B., and Lettenmaier, D. P.: Regional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model, Hydrolog. Sci. J., 43, 131–141, https://doi.org/10.1080/02626669809492107, 1998. a, b, c

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, eaav7266, https://doi.org/10.1126/sciadv.aav7266, 2019. a

Miles, E. S., Steiner, J. F., Buri, P., Immerzeel, W. W., and Pellicciotti, F.: Controls on the relative melt rates of debris-covered glacier surfaces. Environ. Res. Lett., 17, 064004, https://doi.org/10.1088/1748-9326/ac6966, 2022. a

Mimeau, L., Esteves, M., Zin, I., Jacobi, H.-W., Brun, F., Wagnon, P., Koirala, D., and Arnaud, Y.: Quantification of different flow components in a high-altitude glacierized catchment (Dudh Koshi, Himalaya): some cryospheric-related issues, Hydrol. Earth Syst. Sci., 23, 3969–3996, https://doi.org/10.5194/hess-23-3969-2019, 2019. a, b, c

Mukherjee, K., Bhattacharya, A., Pieczonka, T., Ghosh, S., and Bolch, T.: Glacier mass budget and climate reanalysis data indicate a climatic shift around 2000 in Lahaul-Spiti, western Himalaya, Climatic Change, 148, 219–233, https://doi.org/10.1007/s10584-018-2185-3, 2018. a

Nepal, S.: Impacts of climate change on the hydrological regime of the Koshi river basin in the Himalayan region, J. Hydro-Environ. Res., 10, 76–89, https://doi.org/10.1016/j.jher.2015.12.001, 2016. a, b, c, d, e, f

Nie, Y., Pritchard, H. D., Liu, Q., Hennig, T., Wang, W., Wang, X., Liu, S., Nepal, S., Samyn, D., Hewitt, K., and Chen, X.: Glacial change and hydrological implications in the Himalaya and Karakoram, Nat. Rev. Earth Environ., 2, 91–106, https://doi.org/10.1038/s43017-020-00124-w, 2021. a

Nuimura, T., Fujita, K., Yamaguchi, S., and Sharma, R. R.: Elevation changes of glaciers revealed by multitemporal digital elevation models calibrated by GPS survey in the Khumbu region, Nepal Himalaya, 1992–2008, J. Glaciol., 58, 648–656, https://doi.org/10.3189/2012JoG11J061, 2012. a

Oulkar, S. N., Thamban, M., Sharma, P., Pratap, B., Singh, A. T., Patel, L. K., Pramanik, A., and Ravichandran, M.: Energy fluxes, mass balance, and climate sensitivity of the Sutri Dhaka Glacier in the western Himalaya, Front. Earth Sci., 10, 949735, https://doi.org/10.3389/feart.2022.949735, 2022. a

Pokhrel, B. K., Chevallier, P., Andreassian, V., Tahir, A. A., Arnaud, Y., Neppel, L., Bajracharya, O. R., and Budhathoki, K. P.: Comparison of two snowmelt modelling approaches in the Dudh Koshi basin (eastern Himalayas, Nepal), Hydrolog. Sci. J., 59, 1507–1518, https://doi.org/10.1080/02626667.2013.842282, 2014. a, b, c, d

Pramanik, A., Van Pelt, W., Kohler, J., and Schuler, T. V.: Simulating climatic mass balance, seasonal snow development and associated freshwater runoff in the Kongsfjord basin, Svalbard (1980–2016), J. Glaciol., 64, 943–956, https://doi.org/10.1017/jog.2018.80, 2018. a

Pratap, B., Sharma, P., Patel, L., Singh, A. T., Gaddam, V. K., Oulkar, S., and Thamban, M.: Reconciling High Glacier Surface Melting in Summer with Air Temperature in the Semi-Arid Zone of Western Himalaya, Water, 11, 1561, https://doi.org/10.3390/w11081561, 2019. a, b, c

Pritchard, H. D.: Asia's shrinking glaciers protect large populations from drought stress, Nature, 569, 649–654, https://doi.org/10.1038/s41586-019-1240-1, 2019. a

RGI Consortium: Randolph Glacier Inventory – A Dataset of Global Glacier Outlines, Version 6, NSIDC – National Snow and Ice Data Center, Boulder, Colorado, USA, https://doi.org/10.7265/4m1f-gd79, 2017. a, b

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, B. Am. Meteorol. Soc., 85, 381–394, https://doi.org/10.1175/BAMS-85-3-381, 2004. a

Rounce, D. R., King, O., McCarthy, M., Shean, D. E., and Salerno, F.: Quantifying debris thickness of debris-covered glaciers in the Everest region of Nepal through inversion of a subdebris melt model, J. Geophys. Res.-Earth, 123, 1094–1115, https://doi.org/10.1029/2017JF004395, 2018. a

Rounce, D. R., Khurana, T., Short, M. B., Hock, R., Shean, D. E., and Brinkerhoff, D. J.: Quantifying parameter uncertainty in a large-scale glacier evolution model using Bayesian inference: application to High Mountain Asia, J. Glaciol., 66, 175–187, https://doi.org/10.1017/jog.2019.91, 2020. a

Sakai, A. and Fujita, K.: Contrasting glacier responses to recent climate change in high-mountain Asia, Scient. Rep., 7, 1–8, https://doi.org/10.1038/s41598-017-14256-5, 2017. a, b, c

Sanjay, J., Krishnan, R., Shrestha, A. B., Rajbhandari, R., and Ren, G. Y.: Downscaled climate change projections for the Hindu Kush Himalayan region using CORDEX South Asia regional climate models, Adv. Clim. Change Res., 8, 185–198, https://doi.org/10.1016/j.accre.2017.08.003, 2017. a

Scherler, D., Wulf, H., and Gorelick, N.: Global assessment of supraglacial debris‐cover extents, Geophys. Res. Lett., 45, 11798–11805, https://doi.org/10.1029/2018GL080158, 2018. a

Shea, J. M. and Immerzeel, W. W.: An assessment of basin-scale glaciological and hydrological sensitivities in the Hindu Kush–Himalaya, Ann. Glaciol., 57, 308–318, https://doi.org/10.3189/2016AoG71A073, 2016. a

Shean, D. E., Bhushan, S., Montesano, P., Rounce, D. R., Arendt, A., and Osmanoglu, B.: A systematic, regional assessment of high mountain Asia glacier mass balance, Front. Earth Sci., 7, 363, https://doi.org/10.3389/feart.2019.00363, 2020. a

Sherpa, S. F., Wagnon, P., Brun, F., Berthier, E., Vincent, C., Lejeune, Y., Arnaud, Y., Kayastha, R. B., and Sinisalo, A.: Contrasted surface mass balances of debris-free glaciers observed between the southern and the inner parts of the Everest region (2007–15), J. Glaciol., 63, 637–651, https://doi.org/10.1017/jog.2017.30, 2017. a

Singh, A. T., Sharma, P., Sharma, C., Laluraj, C. M., Patel, L., Pratap, B., Oulkar, S., and Thamban, M.: Water discharge and suspended sediment dynamics in the Chandra River, Western Himalaya, J. Earth Syst. Sci., 129, 1–15, https://doi.org/10.1007/s12040-020-01455-4, 2020. a

Singh, P. and Kumar, N.: Effect of orography on precipitation in the western Himalayan region, J. Hydrol., 199, 183–206, https://doi.org/10.1016/S0022-1694(96)03222-2, 1997. a

Singh, P., Kumar, N., and Arora, M.: Degree–day factors for snow and ice for Dokriani Glacier, Garhwal Himalayas, J. Hydrol., 235, 1–11, https://doi.org/10.1016/S0022-1694(00)00249-3, 2000. a

Singh, P., Haritashya, U. K., Ramasastri, K. S., and Kumar, N.: Diurnal variations in discharge and suspended sediment concentration, including runoff‐delaying characteristics, of the Gangotri Glacier in the Garhwal Himalayas, Hydrol. Process., 19, 1445–1457, https://doi.org/10.1002/hyp.5583, 2005. a

Soncini, A., Bocchiola, D., Confortola, G., Minora, U., Vuillermoz, E., Salerno, F., Viviano, G., Shrestha, D., Senese, A., Smiraglia, C., and Diolaiuti, G.: Future hydrological regimes and glacier cover in the Everest region: The case study of the upper Dudh Koshi basin, Sci. Total Environ., 565, 1084–1101, https://doi.org/10.1016/j.scitotenv.2016.05.138, 2016. a

Soruco, A., Vincent, C., Rabatel, A., Francou, B., Thibert, E., Sicart, J. E., and Condom, T.: Contribution of glacier runoff to water resources of La Paz city, Bolivia (16^∘ S), Ann. Glaciol., 56, 147–154, https://doi.org/10.3189/2015AoG70A001, 2015. a

Sunako, S., Fujita, K., Sakai, A., and Kayastha, R. B.: Mass balance of Trambau Glacier, Rolwaling region, Nepal Himalaya: in-situ observations, long-term reconstruction and mass-balance sensitivity, J. Glaciol., 65, 605–616, https://doi.org/10.1017/jog.2019.37, 2019. a

Tarantola, A. Inverse problem theory and methods for model parameter estimation, Society for Industrial and Applied Mathematics, https://doi.org/10.1137/1.9780898717921, 2005. a

Tawde, S., Kulkarni, A., and Bala, G.: An estimate of glacier mass balance for the Chandra basin, western Himalaya, for the period 1984–2012, Ann. Glaciol., 58, 99–109, https://doi.org/10.1017/aog.2017.18, 2017. a

Vano, J. A., Das, T., and Lettenmaier, D. P.: Hydrologic sensitivities of Colorado River runoff to changes in precipitation and temperature, J. Hydrometeorol., 13, 932–949, https://doi.org/10.1175/JHM-D-11-069.1, 2012. a, b, c

Van Tiel, M., Kohn, I., Van Loon, A. F., and Stahl, K.: The compensating effect of glaciers: Characterizing the relation between interannual streamflow variability and glacier cover, Hydrol. Process., 34, 553–568, https://doi.org/10.1002/hyp.13603, 2020a. a, b

Van Tiel, M., Stahl, K., Freudiger, D., and Seibert, J.: Glacio‐hydrological model calibration and evaluation. Wiley Interdisciplin. Rev.: Water, 7, e1483, https://doi.org/10.1002/wat2.1483, 2020b. a

Van Tiel, M., Van Loon, A. F., Seibert, J., and Stahl, K.: Hydrological response to warm and dry weather: do glaciers compensate?, Hydrol. Earth Syst. Sci., 25, 3245–3265, https://doi.org/10.5194/hess-25-3245-2021, 2021. a

Vijay, S. and Braun, M.: Elevation change rates of glaciers in the Lahaul-Spiti (Western Himalaya, India) during 2000–2012 and 2012–2013, Remote Sens., 8, 1038, https://doi.org/10.3390/rs8121038, 2016. a

Vincent, C., Ramanathan, Al., Wagnon, P., Dobhal, D. P., Linda, A., Berthier, E., Sharma, P., Arnaud, Y., Azam, M. F., Jose, P. G., and Gardelle, J.: Balanced conditions or slight mass gain of glaciers in the Lahaul and Spiti region (northern India, Himalaya) during the nineties preceded recent mass loss, The Cryosphere, 7, 569–582, https://doi.org/10.5194/tc-7-569-2013, 2013. a

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. a, b, c

Werder, M. A., Huss, M., Paul, F., Dehecq, A., and Farinotti, D.: A Bayesian ice thickness estimation model for large-scale applications, J. Glaciol., 66, 137–152, https://doi.org/10.1017/jog.2019.93, 2020. a

Zhang, L., Su, F., Yang, D., Hao, Z., and Tong, K.: Discharge regime and simulation for the upstream of major rivers over Tibetan Plateau, J. Geophys. Res.-Atmos., 118, 8500–8518, https://doi.org/10.1002/jgrd.50665, 2013. a, b

Zhao, Q., Zhang, S., Ding, Y. J., Wang, J., Han, H., Xu, J., Zhao, C., Guo, W., and Shangguan, D.: Modeling hydrologic response to climate change and shrinking glaciers in the highly glacierized Kunma Like River Catchment, Central Tian Shan, J. Hydrometeorol., 16, 2383–2402, https://doi.org/10.1175/JHM-D-14-0231.1, 2015. a, b

Zheng, H., Zhang, L., Zhu, R., Liu, C., Sato, Y., and Fukushima, Y.: Responses of streamflow to climate and land surface change in the headwaters of the Yellow River Basin, Water Resour. Res., 45, W00A19, https://doi.org/10.1029/2007WR006665, 2009. a, b, c, d, e

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A model study of two Himalayan catchments reveals that the summer runoff from the glacierized parts of the catchments responds strongly to temperature forcing and is insensitive to precipitation forcing. The runoff from the non-glacierized parts has the exact opposite behaviour. The interannual variability and decadal changes of runoff under a warming climate is determined by the response of glaciers to temperature forcing and that of off-glacier areas to precipitation perturbations.

A model study of two Himalayan catchments reveals that the summer runoff from the glacierized...

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