Snow water equivalent modeling components in NewAge-JGrass

Geoscientific Model Development

Volumn 7, Issue 3, 2014, Pages 725-736

  Formetta, G ^a   Kampf, S K ^b   David, O ^c   Rigon, R ^a  

^a UNIVERSITY OF TRENTO   (Italy)

^b Veterinary Dentistry and Oral Surgery   (United States)

^c Department of Mechanical Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; HYDROLOGICAL MODELING; RADIATION BALANCE; SNOW WATER EQUIVALENT; TEMPERATURE EFFECT;

CACHE LA POUDRE BASIN; COLORADO; UNITED STATES;

EID: 84900428934     PISSN: 1991959X     EISSN: 19919603     Source Type: Journal    
DOI: 10.5194/gmd-7-725-2014     Document Type: Article

References (49)

1. Beven K.: Prophecy reality and uncertainty in distributed hydrological modelling Adv. Water Res. 16 41-51 1993.
2. Beven K.: How far can we go in distributed hydrological modelling Hydrol. Earth Syst. Sci. 5 1-12 doi:10.5194/hess-5-1-2001 2001.
3. Beven K.: A manifesto for the equifinality thesis J. Hydrol. 320 18-36 2006.
4. Beven K. and Binley A.: The future of distributed models: model calibration and uncertainty prediction Hydrol. Process. 6 279-298 1992.
5. Brubaker K. Rango A. and Kus tas,W.: Incorporating radiation inputs into the snowmelt runoff model Hydrol. Process. 10 1329-1343 1996.
6. Brun E. David P. Sudul M. and Brunot G.: A nutnerical tnodel to silDulate snow-cover stratigraphy for operational avalanche forecasting J. Glaciol. 38 13-22 1992.
7. Brutsaert,W.: Evaporation into the atmosphere: Theory history and applications Vol. 1 Springer 1982.
8. Brutsaert W.: Hydrology: an introduction Cambridge Univ. Press 2005.
9. Cazorzi F. and Dalla Fontana G.: Snowmelt modelling by combining air temperature and a distributed radiation index J. Hydrol. 181 169-187 1996.
10. Cressie N.: Statistics for spatial data Terra Nova 4 613-617 1992.
11. Dall'Amico M. Endrizzi S. Gruber S. and Rigon R.: A robust and energy-conserving model of freezing variably-saturated soil The Cryosphere 5 469- 484 doi:10.5194/tc-5-469-2011 2011.
12. David O. Ascough II J. Lloyd W. Green T. Rojas K. Leavesley G. and Ahuja L.: A software engineering perspective on environmental modeling framework design: The Object Modeling System Environ. Model. Softw. 39 201- 213 2013.
13. Eberhart R. and Shi Y.: Particle swarm optimi zation: developments applications and resources in: Proceedings of the 2001 congress on evolutionary computation Vol. 1 81- 86 Piscataway NJ USA IEEE 2001.
14. Endrizzi S.: Snow cover modelling at a local and distributed scale over complex terrain Ph.D. thesis Ph. D. dissertation Dept. of Civil and Environmental Engineering University of Trento Italy 2007.
15. Endriz zi S. Gruber S. Dall'Amico M. and Rigon R.: GEOtop 2.0: simulating the combined energy and water balance at and below the land surface accounting for soil freezing snow cover and terrain effects Geosci. Model Dev. Discuss. 6 6279- 6341 doi:10.5194/gmdd-6-6279-2013 2013.
16. Erbs D. Klein S. and Duffie J.: Estimation of the diffuse radiation fraction for hourly daily and monthly-average global radiation Sol. Energ. 28 293-302 1982.
17. Forland E. J. Allerup P. Dahlstrom B. Elomaa E. Jonsson T. Madsen H. Perala J. Rissanen P. Vedin H. and Vejen F.: Manual for operational correct ion of Nordic precipitation data Norwegian Meteorological Institute 1996.
18. Formetta G.: Hydrological modelling with components: the OMS3 NewAge-JGrass system PhD Thesis 2013.
19. Formetta G. Man tilla R. Franceschi S. Antonello A. and Rigon R.: The JGrass-NewAge system for forecasting and managing the hydrological budgets at the basin scale: models of flow generation and propagation/routing Geosci. Model Dev. 4 943-955 doi:10.5194/gmd-4-943-2011 2011.
20. Formetta G. Rigon R. Chávez J. L. and David O.: Modeling shortwave solar radiation using the JGrass-NewAge system Geosci. Model Dev. 6 915- 928 doi:10.5194/gmd-6-915-2013 2013.
21. Garen D. Marks D.: Spatially distributed energy balance snowmelt modelling in a mountainous river basin: estimation of meteorological inputs and evaluation of model results J. Hydrol. 315 126-153 2005.
22. Garen D. Johnson G. and Hanson C.: Mean areal precipitation for daily hydrologic modeling in mountainous region J. Am.Water Resour. As. 30 481-491 1994.
23. Goovaerts P.: Geostatistics for natural resources evaluation Oxford University Press USA 1997.
24. Gupta H. Kling H. Yilmaz K. and Martinez G.: Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling J. Hydrol. 377 80-91 2009.
25. Hay L. Leavesley G. Clark M. Markstrom S. Viger R. and Umemoto M.: Step wise multiple objective calibration of a hydrologic model for snowmelt dominated basin J. Am. Water Resour. As. 42 877-890 2006.
26. Helbig N. Lowe H. Mayer B. and Lehning M.: Explicit validation of a surface shortwave radiation balance model over snowcovered complex terrain J. Geophys. Res.-Atmos. 115 D18113 doi:10.1029/2010JD013970 2010.
27. Hock R.: A distributed temperature-index ice-and snowmelt model including potential direct solar radiation J. Glaciol. 45 101-111 1999.
28. Kavetski D. Kuczera G. and Franks S.: Calibration of conceptual hydrological models revisited: 1. Overcoming numerical artefacts J. Hydrol. 320 173-186 2006.
29. Kokkonen T. Koivusalo H. Jakeman T. and Norton J.: Construction of a degree-day snow model in the light of the ten iterative steps in model development in: Proceedings of the iEMSs Third Biennial Meeting: Summit on Environmental Modelling and Software. Environmental Modelling and Software Society Burlington USA 2006.
30. Kustas W. P. Rango A. and Uijlenhoet R.: A simple energy budget algorithm for the snowmelt runoff model,Water Resour. Res. 30 1515-1527 1994.
31. Lehning M. Völksch I. Gustafsson D. Nguyen T. A. Stähli M. and Zappa M.: ALPINE3D: A detailed model of mountain surface processes and its application to snow hydrology Hydrol. Process. 20 2111-2128 2006.
32. Ll oyd C.: Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain J. Hydrol. 308 128-150 2005.
33. Marks D. Domingo J. Susong D. Link T. and Garen D.: A spatially distributed energy balance snowmelt model for application in mountain basins Hydrol. Process. 13 1935-1959 1999.
34. Martinec J.: Snowmelt-runoff model for stream flow forecasts Nord. Hydrol. 6 145-154 1975.
35. Martinec J. Rango A. and Major E.: The Snowmelt-Runoff Model(SRM) user 's manual 1983.
36. Martinec J. Rango A. Roberts R. Baumgartner M. F. and Apfl G. M.: Snowmelt runoff model (SRM) user's manual Geographisches Institut der Universität 1994.
37. Michelson D.: Systematic correction of precipitation gauge observations using analyzed meteorological variables J. Hydrol. 290 161-177 2004.
38. Orgill J. and Hollands K.: Correlation equation for hourly diffuse radiation on a horizontal surface Sol. Energ. 19 357-359 1977.
39. Reindl D. Beckm an W. and Duffie J.: Diffuse fraction correlations Sol. Energ. 45 1-7 1990.
40. Richer E. E. Kampf S. K. Fassnacht S. R. and Moore C. C.: Spatiotemporal index for analyzing controls on snow climatology: application in the Colorado Front Range Phys. Geogr. 34 85-107 2013.
41. Rigon R. Bertoldi G. and Over T.: GEOtop: A distributed hydrological model with coupled water and energy budgets J. Hydrometeorol. 7 371-388 2006.
42. Rubel F. Hantel M.: Correction of daily rain gauge measurements in the Baltic Sea drainage basin Nord. Hydrol. 30 191-208 1999.
43. Schaefli B. and Gupta H. V.: Do Nash values have value Hydrol. Process. 21 2075-2080 2007.
44. Stehr A. Debels P. Romero F. and Alcayaga H.: Hydrological modelling with SWAT under conditions of limited data availability: evaluation of results from a Chilean case study Hydrolog. Sci. J. 53 588-601 2008.
45. Tarboton D. G. and Luce C. H.: Utah energy balance snow accumulation and melt model (UEB) Citeseer 1996.
46. Tobin C. Schaefli B. Nicótina L. Simoni S. Barrenetxea G. Smith R. Parlange M. and Rinaldo A.: Improving the degreeday method for sub-daily melt simulations with physically-based diurnal variations Adv. Water Resour. 55 149-164 2013.
47. Van Liew M. Arnold J. and Bosch D.: Problems and potent ial of autocalibrating a hydrologic model T. ASAE 48 1025-1040 2005.
48. Vrugt J. Ter Braak C. Diks C. Higdon D. Robinson B. and Hyman J.: Accelerating Markov chain Monte Carlo simulation by differential evolution with self-adaptive randomized subspace sampling Int. J. Nonlin. Sci. Num. 10 273-290 2009.
49. Willmott C. J.: On the validation of models Phys. Geogr. 2 184-194 1981.