Bedient, P., Huber, W., and Baxter, V.: Hydrology and Floodplain Analysis, 5th Edn., Prentice Hall, Upper Saddle River, NJ, 2012.
Beven, K.: A manifesto for the equifinality thesis, J. Hydrol., 320, 18–36, https://doi.org/10.1016/j.jhydrol.2005.07.007, 2006.
Bieniek, P. A., Bhatt, U. S., Thoman, R. L., Angeloff, H., Partain, J., Papineau, J., Fritsch, F., Holloway, E., Walsh, J. E., Daly, C., Shulski, M., Hufford, G., Hill, D. F., Calos, S., and Gens, R.: Climate Divisions for Alaska Based on Objective Methods, J. Appl. Meteorol. Clim., 51, 1276–1289, https://doi.org/10.1175/JAMC-D-11-0168.1, 2012.
Braun, L. N. and Aellen, M.: Modelling discharge of glacierized basins assisted by direct measurements of glacier mass balance, IAHS Publ., 193, 99–106, 1990.
Brown, M. E., Racoviteanu, A. E., Tarboton, D. G., Gupta, A. S., Nigro, J., Policelli, F., Habib, S., Tokay, M., Shrestha, M. S., Bajracharya, S., Hummel, P., Gray, M., Duda, P., Zaitchik, B., Mahat, V., Artan, G., and Tokar, S.: An integrated modeling system for estimating glacier and snow melt driven streamflow from remote sensing and earth system data products in the Himalayas, J. Hydrol., 519, 1859–1869, https://doi.org/10.1016/j.jhydrol.2014.09.050, 2014.
Clark, M. P., Slater, A. G., Rupp, D. E., Woods, R. A., Vrugt, J. A., Gupta, H. V., Wagener, T., and Hay, L. E.: Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models, Water Resour. Res., 44, W00B02, https://doi.org/10.1029/2007WR006735, 2008.
Clark, M. P., Nijssen, B., Lundquist, J. D., Kavetski, D., Rupp, D. E., Woods, R. A., Freer, J. E., Gutmann, E. D., Wood, A. W., Brekke, L. D., Arnold, J. R., Gochis, D. J., and Rasmussen, R. M.: A unified approach for process-based hydrologic modeling: 1. Modeling concept, Water Resour. Res., 51, 2498–2514, https://doi.org/10.1002/2015WR017198, 2015a.
Clark, M. P., Nijssen, B., Lundquist, J. D., Kavetski, D., Rupp, D. E., Woods, R. A., Freer, J. E., Gutmann, E. D., Wood, A. W., Gochis, D. J., Rasmussen, R. M., Tarboton, D. G., Mahat, V., Flerchinger, G. N., and Marks, D. G.: A unified approach for process-based hydrologic modeling: 2. Model implementation and case studies, Water Resour. Res., 51, 2515–2542, https://doi.org/10.1002/2015WR017200, 2015b.
Cline, D. W.: Snow surface energy exchanges and snowmelt at a continental, midlatitude Alpine site, Water Resour. Res., 33, 689–701, 1997.
Daly, C., Gibson, W. P., Taylor, G. H., Johnson, G. L., and Pasteris, P.: A knowledge-based approach to the statistical mapping of climate, Clim. Res., 22, 99–113, 2002.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., and Bauer, P.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteorol. Soc., 137, 553–597, 2011.
Finger, D., Pellicciotti, F., Konz, M., Rimkus, S., and Burlando, P.: The value of glacier mass balance, satellite snow cover images, and hourly discharge for improving the performance of a physically based distributed hydrological model, Water Resour. Res. 47, W07519, https://doi.org/10.1029/2010WR009824, 2011.
Finger, D., Vis, M., Huss, M., and Seibert, J.: The value of multiple data set calibration versus model complexity for improving the performance of hydrological models in mountain catchments, Water Resour. Res., 51, 1939–1958, 2015.
Fujita, K. and Ageta, Y.: Effect of summer accumulation on glacier mass balance on the Tibetan Plateau revealed by mass-balance model, J. Glaciol., 46, 244–252, 2000.
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition of the mean squared error and NSE performance criteria: implications for improving hydrological modelling, J. Hydrol., 377, 80–91, https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009.
Hagg, W., Braun, L. N., Kuhn, M., and Nesgaard, T. I.: Modelling of hydrological response to climate change in glacierized Central Asian catchments, J. Hydrol., 332, 40–53, 2007.
Hall, D. K., Salomonson, V. V., and Riggs, G. A.: MODIS/Terra Snow Cover Monthly L3 Global 0.05Deg CMG, Version 5, MOD10CM, Tech. rep., NSIDC – National Snow and Ice Data Center, Boulder, Colorado, USA, https://doi.org/10.5067/IPPLURB6RPCN, 2006.
Hamon, W. R.: Estimating potential evapotranspiration, J. Hydraul. Div., 87, 107–120, 1961.
Her, Y. and Chaubey, I.: Impact of the numbers of observations and calibration parameters on equifinality, model performance, and output and parameter uncertainty, Hydrol. Process., 29, 4220–4237, https://doi.org/10.1002/hyp.10487, 2015.
Hijmans, R. J.: GADM database of Global Administrative Areas, Version 2, University of Berkeley, CA, US, and the International Rice Research Institute, Los Baños, the Philippines, 2011.
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., and Jarvis, A.: Very high resolution interpolated climate surfaces for global land areas, Int. J. Climatol., 25, 1965–1978, https://doi.org/10.1002/joc.1276, 2005.
Hock, R.: Modelling of Glacier Melt and Discharge, Zürcher Geographische Schriften 70, ETH Zürich, Zürich, 1998.
Hock, R.: A distributed temperature-index ice- and snowmelt model including potential direct solar radiation, J. Glaciol., 45, 101–111, 1999.
Hock, R.: Glacier melt: a review of processes and their modelling, Prog. Phys. Geogr., 29, 362–391, 2005.
Hock, R. and Holmgren, B.: A distributed surface energy-balance model for complex topography and its application to Storglaciären, Sweden, J. Glaciol., 51, 25–36, 2005.
Huintjes, E., Sauter, T., Schröter, B., Maussion, F., Yang, W., Kropàček, J., Buchroithner, M., Scherer, D., Kang, S., and Schneider, C.: Evaluation of a Coupled Snow and Energy Balance Model for Zhadang Glacier, Tibetan Plateau, Using Glaciological Measurements and Time-Lapse Photography, Arct. Antarct. Alp. Res., 47, 573–590, https://doi.org/10.1657/AAAR0014-073, 2015.
Huss, M., Funk, M., and Ohmura, A.: Strong Alpine glacier melt in the 1940s due to enhanced solar radiation, Geophys. Res. Lett., 36, L23501, https://doi.org/10.1029/2009GL040789, 2009.
Jung, I. and Chang, H.: Assessment of future runoff trends under multiple climate change scenarios in the Willamette River Basin, Oregon, USA, Hydrol. Process., 25, 258–277, https://doi.org/10.1002/hyp.7842, 2011.
Konz, M. and Seibert, J.: On the value of glacier mass balances for hydrological model calibration, J. Hydrol., 385, 238–246, 2010.
Konz, M., Finger, D., Buergi, C., Normand, S., Immerzeel, W. W., Merz, J., Giriraj, A., and Burlando, P.: Calibration of a distributed hydrological model for simulations of remote glacierized Himalayan catchments using MODIS snow cover data, Global Change, 340, 465–473, 2010.
Kustas, W. P., Rango, A., and Uijlenhoet, R.: A simple energy budget algorithm for the Snowmelt Runoff Model, Water Resour. Res., 30, 1515–1527, https://doi.org/10.1029/94WR00152, 1994.
Lader, R. T.: An evaluation of reanalysis products for Alaska to facilitate climate impact studies, PhD thesis, University of Alaska Fairbanks, Fairbanks, Alaska, 2014.
Lindström, G., Johansson, B., Persson, M., Gardelin, M., and Bergström, S.: Development and test of the distributed HBV-96 hydrological model, J. Hydrol., 201, 272–288, https://doi.org/10.1016/S0022-1694(97)00041-3, 1997.
Liston, G. E. and Elder, K.: A meteorological distribution system for high-resolution terrestrial modeling (MicroMet), J. Hydrometeorol., 7, 217–234, 2006b.
Liston, G. E. and Mernild, S. H.: Greenland Freshwater Runoff. Part I: a runoff routing model for glaciated and nonglaciated landscapes (HydroFlow), J. Climate, 25, 5997–6014, https://doi.org/10.1175/JCLI-D-11-00591.1, 2012.
Lu, J., Sun, G., McNulty, S. G., and Amatya, D. M.: A Comparison of Six Potential Evapotranspiration Methods for Regional Use in the Southeastern United States, J. Am. Water Resour. Assoc., 41, 621–633, https://doi.org/10.1111/j.1752-1688.2005.tb03759.x, 2005.
Lutz, A. F., Immerzeel, W. W., Shrestha, A. B., and Bierkens, M. F. P.: Consistent increase in High Asia's runoff due to increasing glacier melt and precipitation, Nat. Clim. Change, 4, 587–592, https://doi.org/10.1038/nclimate2237, 2014.
Marks, D. and Winstral, A.: Comparison of snow deposition, the snow cover energy balance, and snowmelt at two sites in a semiarid mountain basin, J. Hydrometeorol., 2, 213–227, 2001.
Marks, D., Dozier, J., and Davis, R. E.: Climate and energy exchange at the snow surface in the alpine region of the Sierra Nevada: 1. Meteorological measurements and monitoring, Water Resour. Res., 28, 3029–3042, 1992.
Martinec, J.: Snowmelt-runoff model for stream flow forecasts, Nord. Hydrol., 6, 145–154, 1975.
Moore, R. D., Trubilowicz, J., and Buttle, J.: Prediction of Streamflow Regime and Annual Runoff for Ungauged Basins Using a Distributed Monthly Water Balance Model, J. Am. Water Resour. Assoc., 48, 32–42, https://doi.org/10.1111/j.1752-1688.2011.00595.x, 2012.
Mosier, T.: thomasmosier/CCHF: Initial Public Release, Zenodo, https://doi.org/10.5281/zenodo.154273, 2016.
Ohmura, A.: Physical basis for the temperature-based melt-index method, J. Appl. Meteorol., 40, 753–761, 2001.
O'Neel, S., Hood, E., Arendt, A., and Sass, L.: Assessing streamflow sensitivity to variations in glacier mass balance, Climatic Change, 123, 329–341, https://doi.org/10.1007/s10584-013-1042-7, 2014.
Parajka, J. and Blöschl, G.: The value of MODIS snow cover data in validating and calibrating conceptual hydrologic models, J. Hydrol., 358, 240–258, https://doi.org/10.1016/j.jhydrol.2008.06.006, 2008.
Pellicciotti, F., Brock, B., Strasser, U., Burlando, P., Funk, M., and Corripio, J.: An enhanced temperature-index glacier melt model including the shortwave radiation balance: development and testing for Haut Glacier d'Arolla, Switzerland, J. Glaciol., 51, 573–587, 2005.
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., and Miles, E. S.: The Randolph Glacier Inventory: a globally complete inventory of glaciers, J. Glaciol., 60, 537–552, 2014.
Poli, R., Kennedy, J., and Blackwell, T.: Particle swarm optimization, Swarm Intelligence, 1, 33–57, https://doi.org/10.1007/s11721-007-0002-0, 2007.
Ragettli, S. and Pellicciotti, F.: Calibration of a physically based, spatially distributed hydrological model in a glacierized basin: On the use of knowledge from glaciometeorological processes to constrain model parameters, Water Resour. Res., 48, W03509, https://doi.org/10.1029/2011WR010559, 2012.
Razavi, S. and Tolson, B. A.: An efficient framework for hydrologic model calibration on long data periods, Water Resour. Res., 49, 8418–8431, https://doi.org/10.1002/2012WR013442, 2013.
Rienecker, M. M., Suarez, M. J., Gelaro, R., Todling, R., Bacmeister, J., Liu, E., Bosilovich, M. G., Schubert, S. D., Takacs, L., Kim, G.-K., and Bloom, S.: MERRA: NASA's modern-era retrospective analysis for research and applications, J. Climate, 24, 3624–3648, 2011.
Saha, S., Moorthi, S., Pan, H.-L., Wu, X., Wang, J., Nadiga, S., Tripp, P., Kistler, R., Woollen, J., Behringer, D., and Liu, H.: The NCEP climate forecast system reanalysis, B. Am. Meteorol. Soc., 91, 1015–1057, 2010.
Schwanghart, W. and Kuhn, N. J.: TopoToolbox: a set of Matlab functions for topographic analysis, Environ. Model. Softw., 25, 770–781, https://doi.org/10.1016/j.envsoft.2009.12.002, 2010.
Sedlar, J. and Hock, R.: Testing longwave radiation parameterizations under clear and overcast skies at Storglaciären, Sweden, The Cryosphere, 3, 75–84, https://doi.org/10.5194/tc-3-75-2009, 2009.
Sicart, J. E., Hock, R., and Six, D.: Glacier melt, air temperature, and energy balance in different climates: the Bolivian Tropics, the French Alps, and northern Sweden, J. Geophys. Res.-Atmos., 113, D24113, https://doi.org/10.1029/2008JD010406, 2008.
Silvestro, F., Gabellani, S., Rudari, R., Delogu, F., Laiolo, P., and Boni, G.: Uncertainty reduction and parameter estimation of a distributed hydrological model with ground and remote-sensing data, Hydrol. Earth Syst. Sci., 19, 1727–1751, https://doi.org/10.5194/hess-19-1727-2015, 2015.
Simpson, J., Hufford, G., Fleming, M., Berg, J., and Ashton, J.: Long-term climate patterns in Alaskan surface temperature and precipitation and their biological consequences, IEEE T. Geosci. Remote, 40, 1164–1184, https://doi.org/10.1109/TGRS.2002.1010902, 2002.
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.
Smith, M. B., Seo, D.-J., Koren, V. I., Reed, S. M., Zhang, Z., Duan, Q., Moreda, F., and Cong, S.: The distributed model intercomparison project (DMIP): motivation and experiment design, J. Hydrol., 298, 4–26, 2004.
Smith, M. B., Koren, V., Reed, S., Zhang, Z., Zhang, Y., Moreda, F., Cui, Z., Mizukami, N., Anderson, E. A., and Cosgrove, B. A.: The distributed model intercomparison project Phase 2: motivation and design of the Oklahoma experiments, J. Hydrol., 418, 3–16, 2012.
Sturm, M.: White water: fifty years of snow research in WRR and the outlook for the future, Water Resour. Res., 51, 4948–4965, https://doi.org/10.1002/2015WR017242, 2015.
Sturm, M., Holmgren, J., König, M., and Morris, K.: The thermal conductivity of seasonal snow, J. Glaciol., 43, 26–41, 1997.
Van Beusekom, A. E., O'Neel, S. R., March, R. S., Sass, L. C., and Cox, L. H.: Re-analysis of Alaskan benchmark glacier mass-balance data using the index method, US Geological Survey Scientific Investigations Report 5247, US Geological Survey, Reston, Virginia, USA, 2010.
Van de Wal, R. S. W. and Russell, A. J.: A comparison of energy balance calculations, measured ablation and meltwater runoff near Søndre Strømfjord, West Greenland, Global Planet. Change, 9, 29–38, 1994.
Wang, J., Jin, M., Musgrave, D., and Ikeda, M.: A hydrological digital elevation model for freshwater discharge into the Gulf of Alaska, J. Geophys. Res., 109, C07009, https://doi.org/10.1029/2002JC001430, 2004.
Wang, Q. J.: The Genetic Algorithm and Its Application to Calibrating Conceptual Rainfall-Runoff Models, Water Resour. Res., 27, 2467–2471, https://doi.org/10.1029/91WR01305, 1991.
Wang, W., Xie, P., Yoo, S.-H., Xue, Y., Kumar, A., and Wu, X.: An assessment of the surface climate in the NCEP Climate Forecast System Reanalysis, Clim. Dynam., 37, 1601–1620, 2011.
Zhou, X., Xie, H., and Hendrickx, J. M.: Statistical evaluation of remotely sensed snow-cover products with constraints from streamflow and SNOTEL measurements, Remote Sens. Environ., 94, 214–231, 2005.
