Calibration of a distributed snow model using MODIS snow covered area data

Journal of Hydrology

Volumn 494, Issue , 2013, Pages 160-175

  Franz, Kristie J ^a   Karsten, Logan R ^a  

^a IOWA STATE UNIVERSITY   (United States)

Author keywords

Calibration; Distributed modeling; Remote sensing; Snow modeling; Streamflow forecasting

Indexed keywords

CALIBRATION PROCEDURE; CALIFORNIA NEVADA RIVER FORECAST CENTERS; DISTRIBUTED MODELING; GROUND-BASED OBSERVATIONS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; RAINFALL-RUNOFF MODELS; STREAMFLOW FORECASTING; US NATIONAL WEATHER SERVICE;

CALIBRATION; LANDFORMS; RADIOMETERS; REMOTE SENSING; SATELLITE IMAGERY; WATERSHEDS;

SNOW;

ACCURACY ASSESSMENT; CALIBRATION; FORECASTING METHOD; GROUND-BASED MEASUREMENT; MODIS; RAINFALL-RUNOFF MODELING; REMOTE SENSING; RIVER BASIN; RIVER DISCHARGE; SNOW COVER; STREAMFLOW; TERRA (SATELLITE); WATERSHED;

CALIFORNIA; UNITED STATES;

EID: 84878830502     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.04.026     Document Type: Article

References (43)

1. Ajami K.N., Gupta H., Wagener T., Sorooshian S. Calibration of a semi-distributed hydrologic model for streamflow estimation along a river system. J. Hydrol. 2004, 298(1-4):112-135. 10.1016/j.jhydrol.2004.03.033.
2. Anderson, E.A., 1973. National Weather Service River Forecast System-Snow Accumulation and Ablation Model. NOAA Technical Memorandum: NWS Hydro-17. U.S. National Weather Service.
3. Anderson, E.A., 2002. Calibration of Conceptual Hydrologic Models for Use in River Forecasting, Office of Hydrologic Development. National Weather Service, Silver Spring, MD.
4. Andreadis K.M., Lettenmaier D.P. Assimilating remotely sensed snow observations into a macroscale hydrology model. Adv. Water Resour. 2006, 29:872-886.
5. Beven K.J. Rainfall-Runoff Modeling: The Primer 2001, John Wiley & Sons, LTD., Chichester, England, 360p.
6. Brazil, L.E., Hudlow, M.D., 1981. Calibration procedures used with the National Weather Service Forecast System. In: Water and Related Land, Resources, pp. 457-466.
7. Burnash, R.J.C., Ferral, R.L., McGuire, R.A., 1973. A Generalized Streamflow Simulation System: Conceptual Models for Digital Computers. National Weather Service, NOAA, and the State of California Department of Water Resources Technical Report: Joint Federal-State River Forecast Center.
8. Daly C., Neilson R.P., Phillips D.L. A statistical-topographic model for mapping climatological precipitation over mountainous terrain. J. Appl. Meteor. 1994, 33:140-158.
9. Daly C., Gibson W.P., Taylor G.H., Johnson G.L., Pasteris P. A knowledge-based approach to the statistical mapping of climate. Clim. Res. 2002, 22:99-113.
10. Daly C. Guidelines for assessing the suitability of spatial climate data sets. Int. J. Climatol. 2006, 26:707-721.
11. Déry S., Salomonson V.V., Stieglitz M., Hall D.K., Appel I. An approach to using snow areal depletion curves inferred from MODIS and its application to land surface modeling in Alaska. Hydrol. Process. 2005, 19:2755-2774.
12. Dettinger M.D., Cayan D.R., Meyer M.K., Jeton A.E. Simulated hydrologic responses to climate variations and change in the Merced, Carson, and American River Basins, Sierra Nevada, California, 1900-2099. Climate Change 2004, 62(1-3):283-317.
13. DiLuzio M., Johnson G.L., Daly C., Eischeid J.K., Arnold J.G. Constructing retrospective gridded daily precipitation and temperature datasets for the conterminous United States. J. Appl. Meteorol. Clim. 2008, 47:475-497.
14. Duan Q., Gupta V.K., Sorooshian S. Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resour. Res. 1992, 28:1015-1031.
15. Franz K.J., Butcher P., Ajami N.K. Addressing snow model uncertainty for hydrologic prediction. Adv. Water Resour. 2010, 33:820-832.
16. Hall, D.K., Riggs, G.A., Salomonson, V.V., 2000. Updated Daily. MODIS/Terra Snow Cover Daily L3 Global 500m Grid V004, January to March 2003. National Snow and Ice Data Center. Digital Media, Boulder, CO., USA.
17. He M., Hogue T.S., Franz K.J., Margulis S.A., Vrugt J.A. Corruption of parameter behavior and regionalization by model and forcing data errors: a Bayesian example using the SNOW17 model. Water Resour. Res. 2011, 47(7):1-17. 10.1029/2010WR009753.
18. He M., Hogue T.S., Margulis S.A., Franz K.J. An integrated uncertainty and ensemble-based data assimilation approach for improved operational streamflow predictions. Hydrol. Earth Syst. Sci. 2012, 16:815-831. 10.5194/hess-16-815-2012.
19. Khakbaz B., Imam B., Hsu K., Sorooshian S. From lumped to distributed via semi-distributed: calibration strategies for semi-distributed hydrologic models. J. Hydrol. 2012, 418-419:61-77.
20. Konz, M., Finger, D., Bürgi, C., Normand, S., Immerzeel, W.W., Merz, J., Giriraj, A., 2010. Calibration of a distributed hydrological model for simulations of remote glacierized Himalayan catchments using MODIS snow cover data. In: Global Change: Facing Risks and Threats to Water Resources (Proc. of hte Sixth World FRIEND Conference, Fez, Morocco, October 2010). IAHS Publ. 340, pp. 465-473.
21. Koren V., Moreda F., Smith M. Use of soil moisture observations to improve parameter consistency in watershed calibration. Phys. Chem. Earth 2008, 22:1068-1080. 10.1016/j.pce.2008.01.003.
22. Liu T., Willems P., Feng X.W., Li Q., Huang Y., Bao A.M., Chen X. On the usefulness of remote sensing input data for spatially distributed hydrological modelling: case of the Tarim River basin in China. Hydrol. Process. 2012, 26(3):335-344. 10.1002/hyp.8129.
23. Mizukami, N., Koren, V., 2008. Methodology and evaluation of melt factor parameterization for distributed SNOW-17. In: Proceedings of the American Geophysical Union, Fall Meeting 2008, Abstract #H31J-08.
24. Nagler T., Rott H., Malcher P., Müller F. Assimilation of meteorological and remote sensing data for snowmelt runoff forecasting. Rem. Sens. Environ. 2008, 112:1408-1420.
25. Nester T., Kirnbauer R., Parajka J., Blöschl G. Evaluating the snow component of a flood forecast model. Hydrol. Res. 2012, 43(6):762-779. 10.2166/nh.2012.041.
26. NWS, 2004. The National Weather Service River Forecast System User's Manual. (referenced version was downloaded on 17.09.07). http://www.nws.noaa.gov/ohd/hrl.
27. Parajka J., Blöschl G. The value of MODIS snow cover data in validating and calibrating conceptual hydrologic models. J. Hydrol. 2008, 358(3-4):240-258. 10.1016/j.jhydrol.2008.06.006.
28. PRISM Climate Group, 2010. Oregon State University. (downloaded 15.01.10). http://www.prism.oregonstate.edu.
29. Reed S., Koren V., Smith M., Zhang Z., Moreda F., Seo D.-J., Participants D.M.I.P. Overall distributed model intercomparison project results. J. Hydrol. 2004, 298(1-4):27-60. 10.1016/j.jhydrol.2004.03.031.
30. Rittger K., Painter T.H., Dozier J. Assessment of methods for mapping snow cover from MODIS. Adv Water Resour. 2013, 51:367-380. 10.1016/j.adv.wateres.2012.03.002.
31. Rodell M., Houser P. Updating a land surface model with MODIS-derived snow cover. J. Hydrometeor. 2004, 5:1064-1075.
32. Shamir E., Carpenter T.M., Fickenscher P., Georgakakos K.P. Evaluation of the national weather service operational hydrologic model and forecasts for the American River Basin. J. Hydrol. Eng. 2006, 11(5):392-407. 10.1061/(ASCE)1084-0699(2006) 11:5(392.
33. Shamir E., Georgakakos K.P. Distributed snow accumulation and ablation modeling in the American River basin. Adv. Water Resour. 2006, 29(4):558-570. 10.1016/j.advwatres.2005.06.010.
34. Shamir E., Georgakakos K.P. Estimating snow depletion curves for American River basins using distributed snow modeling. J. Hydrol. 2007, 334:162-173.
35. Salmonson V., Appel I. Estimating fractional snow cover from MODIS using the normalized difference snow index. Rem. Sens. Environ. 2004, 89(3):351-360. 10.1016/j.rse.2003.10.016.
36. Simic A., Fernandes R., Brown R., Romanov P., Park W. Validation of VEGETATION, MODIS, and GOES+ SSM/I snow-cover products over Canada based on surface snow depth observations. Hydrol. Process. 2004, 18(6):1089-1104. 10.1002/hyp.5509.
37. Smith M.B., Seo D.-J., Koren V.I., Reed S.M., Zhang Z., Duan Q., Moreda F., Cong S. The distributed model intercomparison project (DMIP): motivation and experiment design. J. Hydrol. 2004, 298:4-26.
38. Smith M.B., Koren V., Zhang Z., Reed S.M., Cui Z., Moreda F., Cosgrove B.A., Mizukami N., Anderson E.A. Results of the DMIP2 Oklahoma experiments. J. Hydrol. 2012, 418-419:17-48. DMIP 2 participants. 10.1016/j.jhydrol.2011.08.056.
39. Sorman A.A., Sensoy A., Tekeli A.E., Sorman A.U., Akyurek Z. Modelling and forecasting snowmelt runoff process using the HBV model in the eastern part of Turkey. Hydrol. Process. 2009, 23:1031-1040. 10.1002/hyp.7204.
40. Tang Q., Lettenmaier D.P. Use of satellite snow-covered data for streamflow prediction in the Feather River Basin, California. Int. J. Rem. Sens. 2010, 31:3745-3762. 10.1080/01431161.2010.483493.
41. Tekeli A.E., Akyürek Z., Şorman A.A., Şensoy A., Şorman A.U. Using MODIS snow cover maps in modeling snowmelt runoff process in the eastern part of Turkey. Rem. Sens. Environ. 2005, 97(2):216-230. 10.1016/j.rse.2005.03.013.
42. Udnæs H.-C., Alfnes E., Andreassen L.M. Improving runoff modelling using satellite-derived snow covered area. Nord. Hydrol. 2007, 38(1):21-32. 10.2166/nh.2007.032.
43. Yantheendradas, S., Peters-Lidard, C.D., Koren, V., Cosgrove, B.A., De Goncalves, L.G., Smith, M., Geiger, J., Cui, Z., Borak, J., Kumar, S.V., Toll, D.L., Riggs, G., Mizukami, N., in press. Distributed assimilation of satellite-based snow extent for improving simulated streamflow 1 in mountainous, dense forests: an example over the DMIP2 western basins. Water Resour. Res. doi:10.1029/2011WR011347.