A Bayesian spatial assimilation scheme for snow coverage observations in a gridded snow model

Hydrology and Earth System Sciences

Volumn 10, Issue 3, 2006, Pages 369-381

  Kolberg, S ^a   Rue, H ^b   Gottschalk, L ^c  

^a SINTEF ENERGY RESEARCH   (Norway)

^b NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^c UNIVERSITY OF OSLO   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

HYDROLOGICAL MODELING; LANDSAT THEMATIC MAPPER; MASS BALANCE; REMOTE SENSING; SATELLITE IMAGERY; SNOW ACCUMULATION; SNOW COVER; SPATIAL ANALYSIS; SPATIAL DISTRIBUTION;

EURASIA; EUROPE; NORTHERN EUROPE; NORWAY; SCANDINAVIA;

EID: 33845341098     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-10-369-2006     Document Type: Article

References (33)

1. Beven, K. J. and Young, P.: Comment on "Bayesian recursive parameter estimation for hydrologic models" by M. Thiemann, M. Trosset, H. Gupta, and S. Soorooshian, Water Resour. Res. 39, 5, doi:10.1029/2001WR001183. 2003.
2. Binley, A. M. and Beven, K. J.: Physically-based modelling of catchment hydrology: A likelihood approach to reducing predictive uncertainty, in: Computer modelling in the environmental sciences, edited by: Farmer, D. G. and Rycroft, M. J., Clarendon, Oxford, 1991.
3. Blöschl, G., Kirnbauer, R., and Gutknecht, D.: Distributed Snowmelt Simulations in an Alpine Catchment 1. Model Evaluation on the Basis of Snow Cover Patterns, Water Resour. Res., 27, 12, 3171-3179, 1991.
4. Brubaker, K. L., Jasinski, M., Chang, A. T., and Josberger, E.: Interpolating sparse surface measurements for calibration and validation of satellite-derived snow water equivalent in Russian Siberia, in: Remote sensing and Hydrology 2000, edited by: Owe, M., Brubaker, K., Ritchie, J., and Rango, A., IAHS Publ. No. 267, p. 93-98, 2001.
5. Brubaker, K. L. and Menoes, M.: A technique to estimate snow depletion curves from time-series data using the Beta distribution, Proceedings, 58th Eastern Snow Conference, Ottawa, Ontario, Canada, 2001.
6. Bruland, O., Sand, K., and Killingtveit, Å.: Snow distribution at a high arctic site at Svalbard, Nordic Hydrol., 32, 1, 1-12, 2001.
7. Chib, S. and Greenberg, E.: Understanding the Metropolis-Hastings algorithm, The American Statistician, 49, 4, 327-335, 1995.
8. Donald, J. R., Soulis, E. D., Kouwen, N., and Pietroniro, A.: A land cover-based snow cover representation for distributed hydrologic models, Water Resour. Res., 31, 4, 995-1009, 1995.
9. Engeland, K. and Gottschalk, L.: Bayesian Estimation of Parameters in a regional Hydrological Model, Hydrol. Earth Syst. Sci., 6, 5, 883-898, 2002.
10. Engen, G., Guneriussen, T., and Overrein, Ø.: Delta-K interferometric SAR technique for snow water equivalent (SWE) re trieval, IEEE Geoscience and remote sensing letters, 1, 2, 57-61, 2004.
11. Essery, R., Li, L., and Pomeroy, J.: A distributed model of blowing snow over complex terrain, Hydrological Processes, 13, 2423-2438, 1999.
12. Gupta, H. V., Thiemann, M., Trosset, M., and Sorooshian, S.: Reply to comment by K. Beven and P. Young on "Bayesian recursive parameter estimation for hydrologic models), Water Resour. Res., 39, 5, doi:10:1029/2002WR001405, 2003.
13. Huang, H.-C. and Cressie, N.: Spatio-temporal prediction of snow water equivalent using the Kalman filter, Computational Statistics and Data Analysis, 22, 159-175, 1996.
14. Kirnbauer, R., Blöschl, O., and Gutknecht, D.: Entering the era of distributed snow models, Nordic Hydrol., 25, 1-24, 1994.
15. Kolberg, S. A.: A snow routine for Bayesian updating, Proceedings, 13th Northern Research Basins international symposium and workshop, Saarisälke, Finland, August 19-24, p. 121-130, 2001.
16. Kolberg, S. A. and Gottschalk, L.: Updating of snow depletion curve with remote sensing data, Hydrological Processes, in press, 2005.
17. Liston, G. E.: Interrelationships among Snow Distribution, Snowmelt, and Snow Cover Depletion: Implications for Atmospheric, Hydrologic, and Ecologic modelling, J. Appl. Meteorol., 38, 1474-1487, 1999.
18. Liston, G. E.: Representing Subgrid Snow Cover Heterogeneities in Regional and Global Models., J. Climate, 17, 6, 1381-1397, 2004.
19. Luce, C. H., Tarboton, D. G., and Cooley, K. R.: Sub-grid parameterization of snow distribution for an energy and mass balance snow cover model, Hydrological Processes, 13, 1921-1933, 1999.
20. Luce, C. H. and Tarboton, D. G.: The application of depletion curves for parameterization of subgrid variability of snow, Hydrological Processes, 18, 1409-1422, 2004.
21. Marchand, W-D., and Killingtveit, Å.: Statistical properties of spatial snowcover in mountainous catchments in Norway, Nordic Hydrol., 35-2, 101-117, 2004.
22. Molotch, N. P., Fassnacht, S. R., Bales, R. C., and Helfrich, S. R.: Estimating the distribution of snow water equivalent and snow extent beneath cloud cover in the Salt-Verde River Basin, Arizona, Hydrological Processes, 18, 1595-1611, 2004.
23. Moradkhani, H., Sorooshian, S., Gupta, H. V., and Houser, P. R.: Dual state-parameter estimation of hydrological models using ensemble Kalman filter, Adv. Water Resour., 28, 135-147, 2005.
24. Rango, A. and Martinec, J.: Water storage in mountain basins from satellite snow cover monitoring, in: Remote sensing and Geographic Information Systems for design and operation of water resources systems, edited by: Baumgartner, M. F., Shultz, G., and Johnson, I., IAHS Publ. No 242, p. 83-91, 1997.
25. Ranzi, R., Grossi, G., and Bacchi, B.: Ten years of monitoring areal snowpack in the Southern Alps using NOAA-AVHRR imagery, ground measurements and hydrological data, Hydrological Processes, 13, 2079-2095, 1999.
26. Rodell, M. and Houser, P. R.: Updating a land surface model with MODIS-derived snow cover, J. Hydrometeorol., 5, 1064-1075, 2004.
27. Rosenthal, W. and Dozier, J.: Automated mapping of montane snow cover at subpixel resolution from the Landsat Thematic Mapper, Water Resour. Res., 32, 1, 115-130, 1996.
28. Rue, H. and Held, L.: Gaussian Markov Random Fields: Theory and Applications, Monographs on Statistics and Applied Probability 104, Chapman and Hall, London, 2005.
29. Salomonsson, V. V. and Appel, I.: Estimating fractional snow cover from MODIS using the normalized difference snow index, Remote sensing of environment, 89, 351-360, 2004.
30. Sheffield, J., Pan, M., Wood, E. F., Mitchell, K. E., Houser, P. R., Schaake, J. C, Robock, A., Lohmann, D., Cosgrove, B., Duan, Q., Luo, L., Higgins, R. W., Pinker, R. T., Tarpley, J. D., and Ramsay, B. H.: Snow process modelling in the North American Land Data Assimilation System (NLDAS): 1. Evaluation of model-simulated snow cover extent, J. Geophys. Res., 108(D22), 8849, doi:10.1029/2002JD003274, 2003.
31. Skaugen, T., Alfnes, E., Langsholt, E. G., and Udnæs, H.-C.: Time-variant snow distribution for use in hydrological models, Annals of Glaciology, 38, 180-186, 2004.
32. Vrugt, J. A., Gupta, H. V., Bouten, W., and Sorooshian, S.: A shuffled Complex Evolution Metropolis algorithm for optimisation and uncertainty assessment of hydrologic model parameters, Water Resour. Res., 39, 8, doi:10.1029/2002WR001642, 2003.
33. Vrugt, J. A., Diks, C. G. H., Gupta, H. V., Bouten, W., and Verstraten, J. M.: Improved treatment of uncertainty in hydrologic modeling: Combining the strengths of global optimization and data assimilation, Water Resour. Res., 41, W01017, doi:10.1029/2004WR003059, 2005.