Evaluating snow models with varying process representations for hydrological applications

Water Resources Research

Volumn 51, Issue 4, 2015, Pages 2707-2723

  Magnusson, Jan ^a   Wever, Nander ^a   Essery, Richard ^b   Helbig, Nora ^a   Winstral, Adam ^a   Jonas, Tobias ^a  

^a WSL INSTITUTE FOR SNOW AND AVALANCHE RESEARCH SLF   (Switzerland)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

energy balance snow model; model intercomparison; multimodel framework; temperature index snow model

Indexed keywords

ATMOSPHERIC TEMPERATURE; ENERGY BALANCE; HEAT TRANSFER; MODEL STRUCTURES; RUNOFF;

COMPUTATIONAL COSTS; ENERGY BALANCE MODELS; MODEL INTER COMPARISONS; MULTI-MODEL; PROCESS REPRESENTATION; SNOW MODELS; SNOW SURFACE TEMPERATURE; TURBULENT HEAT TRANSFER;

SNOW;

ENERGY BALANCE; HEAT TRANSFER; HYDROLOGICAL MODELING; PARAMETERIZATION; RUNOFF; SNOW COVER; SNOWPACK; SURFACE TEMPERATURE; TEMPERATURE;

EID: 85027923969     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2014WR016498     Document Type: Article

References (53)

1. Albert, M., and, G. Krajeski, (1998), A fast, physically based point snowmelt model for use in distributed applications, Hydrol. Processes, 12 (10-11), 1809-1824.
2. Barry, R., M. Prevost, J. Stein, and, A. P. Plamondon, (1990), Application of a snow cover energy and mass balance model in a balsam fir forest, Water Resour. Res., 26 (5), 1079-1092.
3. Bartelt, P., and, M. Lehning, (2002), A physical SNOWPACK model for the Swiss avalanche warning Part I: Numerical model, Cold Reg. Sci. Technol., 35 (3), 123-145.
4. Bloschl, G., D. Gutknecht, and, R. Kirnbauer, (1991), Distributed snowmelt simulations in an alpine catchment. 2. Parameter study and model predictions, Water Resour. Res., 27 (12), 3181-3188.
5. Brown, R. D., B. Brasnett, and, D. Robinson, (2003), Gridded North American monthly snow depth and snow water equivalent for GCM evaluation, Atmos. Ocean, 41 (1), 1-14.
6. Carrera, M. L., S. Belair, V. Fortin, B. Bilodeau, D. Charpentier, and, I. Dore, (2010), Evaluation of snowpack simulations over the Canadian rockies with an experimental hydrometeorological modeling system, J. Hydrometeorol., 11 (5), 1123-1140.
7. Clark, M. P., D. Kavetski, and, F. Fenicia, (2011), Pursuing the method of multiple working hypotheses for hydrological modeling, Water Resour. Res., 47, W09301, doi: 10.1029/2010WR009827.
8. Cox, G. M., J. M. Gibbons, A. T. A. Wood, J. Craigon, S. J. Ramsden, and, N. M. J. Crout, (2006), Towards the systematic simplification of mechanistic models, Ecol. Modell., 198 (1-2), 240-246.
9. De Michele, C., F. Avanzi, A. Ghezzi, and, C. Jommi, (2013), Investigating the dynamics of bulk snow density in dry and wet conditions using a one-dimensional model, Cryosphere, 7 (2), 433-444.
10. Dutra, E., G. Balsamo, P. Viterbo, P. M. A. Miranda, A. Beljaars, C. Schaer, and, K. Elder, (2010), An improved snow scheme for the ECMWF land surface model: Description and offline validation, J. Hydrometeorol., 11 (4), 899-916.
11. Essery, R., S. Morin, Y. Lejeune, and, C. B. Menard, (2013), A comparison of 1701 snow models using observations from an alpine site, Adv. Water Resour., 55, 131-148.
12. Etchevers, P., et al., (2004), Validation of the energy budget of an alpine snowpack simulated by several snow models (SnowMIP project), Ann. Glaciol., 38, 150-158.
13. Foerster, K., G. Meon, T. Marke, and, U. Strasser, (2014), Effect of meteorological forcing and snow model complexity on hydrological simulations in the Sieber catchment (Harz Mountains, Germany), Hydrol. Earth Syst. Sci., 18 (11), 4703-4720.
14. Franz, K. J., T. S. Hogue, and, S. Sorooshian, (2008), Operational snow modeling: Addressing the challenges of an energy balance model for National Weather Service forecasts, J. Hydrol., 360 (1-4), 48-66.
15. Gerrity, J. P., (1992), A note on Gandin and Murphy equitable skill score, Mon. Weather Rev., 120 (11), 2709-2712.
16. Granger, R. J., R. Essery, and, J. W. Porneroy, (2006), Boundary-layer growth over snow and soil patches: Field observations, Hydrol. Processes, 20 (4), 943-951.
17. Gupta, H. V., H. Kling, K. K. Yilmaz, and, G. F. Martinez, (2009), Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling, J. Hydrol., 377 (1-2), 80-91.
18. Helgason, W., and, J. Pomeroy, (2012), Problems closing the energy balance over a homogeneous snow cover during midwinter, J. Hydrometeorol., 13 (2), 557-572.
19. Hock, R., (2003), Temperature index melt modelling in mountain areas, J. Hydrol., 282 (1-4), 104-115.
20. Huss, M., D. Farinotti, A. Bauder, and, M. Funk, (2008), Modelling runoff from highly glacierized alpine drainage basins in a changing climate, Hydrol. Processes, 22 (19), 3888-3902.
21. Jin, J., X. Gao, Z. L. Yang, R. C. Bales, S. Sorooshian, and, R. E. Dickinson, (1999), Comparative analyses of physically based snowmelt models for climate simulations, J. Clim., 12 (8), 2643-2657.
22. Kattelmann, R., (2000), Snowmelt lysimeters in the evaluation of snowmelt models, Ann. Glaciol., 31, 406-410.
23. Kavetski, D., and, F. Fenicia, (2011), Elements of a flexible approach for conceptual hydrological modeling: 2. Application and experimental insights, Water Resour. Res., 47, W11511, doi: 10.1029/2011WR010748.
24. Kling, H., M. Fuchs, and, M. Paulin, (2012), Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios, J. Hydrol., 424, 264-277.
25. Kokkonen, T., H. Koivusalo, A. J. Jakeman, and, J. Norton, (2006), Construction of a degree-day snow model in the light of the 10 iterative steps in model development, in Proceedings of the iEMSs Third Biennial Meeting: "Summit on Environmental Modelling and Software," [CD-ROM], edited by, A. Voinov, A. J. Jakeman, and, A. E. Rizzoli, 12 pp., Int. Environ. Modell. and Software Soc., Burlington, Vermont.
26. Kumar, M., D. Marks, J. Dozier, M. Reba, and, A. Winstral, (2013), Evaluation of distributed hydrologic impacts of temperature-index and energy-based snow models, Adv. Water Resour., 56, 77-89.
27. Kuusisto, E., (1980), On the values and variability of degree-day melting factor in Finland, Nord. Hydrol., 11 (5), 235-242.
28. Lehning, M., P. Bartelt, B. Brown, C. Fierz, and, P. Satyawali, (2002), A physical SNOWPACK model for the Swiss avalanche warning Part II: Snow microstructure, Cold Reg. Sci. Technol., 35 (3), 147-167.
29. Lehning, M., I. Voelksch, D. Gustafsson, T. A. Nguyen, M. Staehli, and, M. Zappa, (2006), ALPINE3D: A detailed model of mountain surface processes and its application to snow hydrology, Hydrol. Processes, 20 (10), 2111-2128.
30. Liu, Y., C. D. Peters-Lidard, S. Kumar, J. L. Foster, M. Shaw, Y. Tian, and, G. M. Fall, (2013), Assimilating satellite-based snow depth and snow cover products for improving snow predictions in Alaska, Adv. Water Resour., 54, 208-227.
31. Magnusson, J., D. Gustafsson, F. Husler, and, T. Jonas, (2014), Assimilation of point SWE data into a distributed snow cover model comparing two contrasting methods, Water Resour. Res., 50, 7816-7835, doi: 10.1002/2014WR015302.
32. Mahat, V., D. G. Tarboton, and, N. P. Molotch, (2013), Testing above- and below-canopy representations of turbulent fluxes in an energy balance snowmelt model, Water Resour. Res., 49, 1107-1122, doi: 10.1002/wrcr.20073.
33. Morin, S., Y. Lejeune, B. Lesaffre, J. M. Panel, D. Poncet, P. David, and, M. Sudul, (2012), An 18-yr long (1993-2011) snow and meteorological dataset from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.) for driving and evaluating snowpack models, Earth Syst. Sci. Data, 4 (1), 13-21.
34. Rango, A., and, J. Martinec, (1995), Revisiting the degree-day method for snowmelt computations, Water Resour. Bull., 31 (4), 657-669.
35. Reba, M. L., D. Marks, T. E. Link, J. Pomeroy, and, A. Winstral, (2014), Sensitivity of model parameterizations for simulated latent heat flux at the snow surface for complex mountain sites, Hydrol. Processes, 28 (3), 868-881.
36. Rings, J., J. A. Vrugt, G. Schoups, J. A. Huisman, and, H. Vereecken, (2012), Bayesian model averaging using particle filtering and Gaussian mixture modeling: Theory, concepts, and simulation experiments, Water Resour. Res., 48, W05520, doi: 10.1029/2011WR011607.
37. Rutter, N., et al., (2009), Evaluation of forest snow processes models (SnowMIP2), J. Geophys. Res., 114, D06111, doi: 10.1029/2008JD011063.
38. Schmucki, E., C. Marty, C. Fierz, and, M. Lehning, (2014), Evaluation of modelled snow depth and snow water equivalent at three contrasting sites in Switzerland using SNOWPACK simulations driven by different meteorological data input, Cold Reg. Sci. Technol., 99, 27-37.
39. Seibert, J., (2001), On the need for benchmarks in hydrological modelling, Hydrol. Processes, 15 (6), 1063-1064.
40. Shrestha, M., L. Wang, T. Koike, Y. Xue, and, Y. Hirabayashi, (2010), Improving the snow physics of WEB-DHM and its point evaluation at the SnowMIP sites, Hydrol. Earth Syst. Sci., 14 (12), 2577-2594.
41. Slater, A. G., et al., (2001), The representation of snow in land surface schemes: Results from PILPS 2(d), J. Hydrometeorol., 2 (1), 7-25.
42. Slater, A. G., and, M. P. Clark, (2006), Snow data assimilation via an ensemble Kalman filter, J. Hydrometeorol., 7 (3), 478-493.
43. Stoessel, F., M. Guala, C. Fierz, C. Manes, and, M. Lehning, (2010), Micrometeorological and morphological observations of surface hoar dynamics on a mountain snow cover, Water Resour. Res., 46, W04511, doi: 10.1029/2009WR008198.
44. Tobin, C., B. Schaefli, L. Nicotina, S. Simoni, G. Barrenetxea, R. Smith, M. Parlange, and, A. Rinaldo, (2013), Improving the degree-day method for sub-daily melt simulations with physically-based diurnal variations, Adv. Water Resour., 55, 149-164.
45. Tuteja, N. K., and, C. Cunnane, (1999), A quasi physical snowmelt runoff modelling system for small catchments, Hydrol. Processes, 13 (12-13), 1961-1975.
46. Vionnet, V., E. Brun, S. Morin, A. Boone, S. Faroux, P. Le Moigne, E. Martin, and, J. M. Willemet, (2012), The detailed snowpack scheme Crocus and its implementation in SURFEX v7.2, Geosci. Model Dev., 5 (3), 773-791.
47. Walter, M. T., E. S. Brooks, D. K. McCool, L. G. King, M. Molnau, and, J. Boll, (2005), Process-based snowmelt modeling: Does it require more input data than temperature-index modeling?, J. Hydrol., 300 (1-4), 65-75.
48. Warscher, M., U. Strasser, G. Kraller, T. Marke, H. Franz, and, H. Kunstmann, (2013), Performance of complex snow cover descriptions in a distributed hydrological model system: A case study for the high Alpine terrain of the Berchtesgaden Alps, Water Resour. Res., 49, 2619-2637, doi: 10.1002/wrcr.20219.
49. Wever, N., C. Fierz, C. Mitterer, H. Hirashima, and, M. Lehning, (2014), Solving Richards equation for snow improves snowpack meltwater runoff estimations in detailed multi-layer snowpack model, Cryosphere, 8 (1), 257-274.
50. Yossef, N. C., L. P. H. van Beek, J. C. J. Kwadijk, and, M. F. P. Bierkens, (2012), Assessment of the potential forecasting skill of a global hydrological model in reproducing the occurrence of monthly flow extremes, Hydrol. Earth Syst. Sci., 16 (11), 4233-4246.
51. Zanotti, F., S. Endrizzi, G. Bertoldi, and, R. Rigon, (2004), The GEOTOP snow module, Hydrol. Processes, 18 (18), 3667-3679.
52. Zappa, M., F. Pos, U. Strasser, P. Warmerdam, and, J. Gurtz, (2003), Seasonal water balance of an Alpine catchment as evaluated by different methods for spatially distributed snowmelt modelling, Nord. Hydrol., 34 (3), 179-202.
53. Zeinivand, H., and, F. De Smedt, (2009), Hydrological modeling of snow accumulation and melting on river basin scale, Water Resour. Manage., 23 (11), 2271-2287.