Regional parameter estimation for the unified land model

Water Resources Research

Volumn 49, Issue 1, 2013, Pages 100-114

  Livneh, Ben ^a   Lettenmaier, Dennis P ^a  

^a University of Washington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HYDROLOGIC MODELS; LOCAL PARAMETERS; MODEL PERFORMANCE; OPTIMIZED PARAMETER; PREDICTIVE RELATIONSHIPS; PRINCIPAL COMPONENTS ANALYSIS; STREAMFLOW PREDICTION; VALIDATION PERIODS;

CATCHMENTS; GAGES; PARAMETER ESTIMATION; PRINCIPAL COMPONENT ANALYSIS; RUNOFF; STREAM FLOW;

GEOLOGIC MODELS;

CATCHMENT; DATABASE; EXPERIMENTAL STUDY; GEOGRAPHICAL VARIATION; HYDROLOGICAL MODELING; MODEL TEST; PARAMETERIZATION; PERFORMANCE ASSESSMENT; PRINCIPAL COMPONENT ANALYSIS; RIVER BASIN; SATELLITE IMAGERY; SOIL PROFILE; STREAMFLOW;

UNITED STATES;

EID: 84876564643     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1029/2012WR012220     Document Type: Article

References (52)

1. Abdulla, F. A., and D. P. Lettenmaier (1997), Development of regional parameter estimation equations for a macroscale hydrologic model, J. Hydrol., 197, 230-257. (Pubitemid 27335612)
2. Blöschl, G., and M. Sivapalan (1995), Scale issues in hydrological model-ing-A review, Hydrol. Processes, 9, 251-290. (Pubitemid 26441703)
3. Boughton, W., and F. Chiew (2007), Estimating runoff in ungauged catchments from rainfall, PET and the AWBM model, Environ. Modell. Softw. 22, 476-487. (Pubitemid 44647961)
4. Burnash, R. J. C., R. L. Ferral, R. A. McGuire, and Joint Federal and State River Forecast Center (1973), A generalized streamflow simulation system- Conceptual modeling for digital computers, 204 pp., U.S. Natl. Weather Service and California Depart. of Water Resources, Sacramento, Calif.
5. Ek, M. B., K. E. Mitchell, Y. Lin, E. Rogers, P. Grunmann, V. Koren, G. Gayno, and J. D. Tarpley (2003), Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model, J. Geophys. Res., D22(108), 8851, doi:10.1029/2002JD003296.
6. Falcone J. A., D. M. Carlisle, D. M. Wolock, and M. R. Meador (2010), GAGES: A stream gage database for evaluating natural and altered flow conditions in the conterminous United States, Ecology, 91, 621.
7. Fernandez, W., R. M. Vogel, and A. Sankarasubramanian (2000), Regional calibration of a watershed model, Hydrol. Sci. J., 45(5), 689-707.
8. Gan, T. Y., and S. J. Burges (2006), Assessment of soil-based and calibrated parameters of the Sacramento model and parameter transferability, J. Hydrol., 320(1-2), 117-131.
9. Garen, D. C. (1992), Improved techniques in regression-based streamflow volume forecasting, J. Water Resour. Plan. Manage., 118(6), 654-670. (Pubitemid 23376326)
10. Goswani, M., K. M. O'Connor, and K. P. Bhattarai (2007), Development of regionalisation procedures usinga multi-model approach for flow simulation in an ungauged catchment, J. Hydrol., 333, 517-531. (Pubitemid 46053973)
11. Götzinger, J., and A. Bardossy (2007), Comparison of four regionalization methods for a distributed hydrological model, J. Hydrol., 333, 374-384. (Pubitemid 46053966)
12. Gupta, H. V., L. A. Bastidas, S. Sorooshian, W. J. Shuttleworth, and Z. L. Yang (1999), Parameter estimation of a land surface scheme using multi-criteria methods, J. Geophys. Res., 104, 19, 491-19, 503.
13. 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 modeling, J. Hydrol., 377(1-2), 80-91.
14. Gutman, G., and A. Ignatov (1998), The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models, Int. J. Remote Sens., 19, 1533-1543.
15. He, Y., A. Bardossy, and E. Zehe (2011), A review of regionalisation for continuous streamflow simulation, Hydrol. Earth Syst. Sci, 15, 3539-3553, doi:10.5194/hess-15-3539.
16. Heuvelmans, G., B. Muys, and J. Feyen (2006), Regionalization of the parameters of a hydrologic model: comparison of linear regression models with artificial neural nets, J. Hydrol., 319, 245-265. (Pubitemid 43199901)
17. Hidalgo H. G., T. C. Piechota, and J. A. Dracup (2000), Alternative principal components regression procedures for dendrohydrologic reconstructions, WaterResour. Res., 36(11), 3241-3249.
18. Hundecha, Y., and A. Bardossy (2004), Modeling effect of land use changes on runoff generation of a river basin through parameter regionalization of a watershed model, J. Hydrol, 292, 281-295. (Pubitemid 38583612)
19. Kalnay, E., et al. (1996), The NCEP/NCAR 40-Year Reanalysis Project, Bull. Amer. Meteor. Soc, 77, 437-471.
20. Karlinger, M. R., D. P. Guertin, and B. M. Troutman (1988), Regression estimates for topological-hydrograph input, J. Water Resour. Plan. Manage., 114, 446-456.
21. Kim, U., and J. J. Kaluarachchi (2008), Application of parameter estimation and regionalization methodologies to ungauged basins of the Upper Blue Nile River Basin, Ethiopia, J. Hydrol., 362, 39-56.
22. Koren V. I., M. Smith, and Q. Duan (2003), Use of a priori parameter estimates in the derivation of spatially consistent parameter sets of rainfall-runoff models, in Calibration of Watershed Models, Water Science and Applications, vol. 6, edited by Q. Duan, S. Sorooshian, H. Gupta, H. Rosseau, and H. Turcotte, pp. 239-254, AGU, Washington, D. C.
23. Kull, D. W., and A. D. Feldman (1998), Evolution of Clark's unit graph method to spatially distributed runoff, J. Hydraul. Eng., 3, 9-19.
24. Kumar, R., and L. Samaniego (2011), A regional calibration scheme for a distributed hydrologic model based on a copula dissimilarity measure, poster presented at the AGU Fall Meeting, December 2011, San Francisco, Calif.
25. Livneh, B. and D. P. Lettenmaier (2012), Multi-criteria parameter estimation for the unified land model, Hydrol. Earth Syst. Sci. Discuss., 9, 4417-4463, doi: 10.5194/hessd-9-4417-2012.
26. Livneh, B., Y. Xia, K. E. Mitchell, M. B. Ek, and D. P. Lettenmaier (2010), Noah LSM Snow Model Diagnostics and Enhancements, J. Hydro-meteorol, 11(3), 721-738.
27. Livneh, B., P. J. Restrepo, and D. P. Lettenmaier (2011), Development of a unified land model for prediction of surface hydrology and land-atmosphere interactions, J. Hydrometeorol., 12(6), 1299-1320, doi:10.1175/2011JHM1361.1.
28. Magette, W. L., V. O. Stanholz, and J. G. Cair (1976), Estimating selected parameters for the Kentucky watershed from watershed characteristics, Water Resour. Res., 12, 472-476.
29. Merz, R. and G. Bloschl (2004), Regionalisation of catchment model parameters, J. Hydrol., 287, 95-123. (Pubitemid 38300324)
30. Nash, J. E. and J. V. Sutcliffe (1970), River flow forecasting through conceptual models part I-A discussion of principles, J. Hydrol., 10(3), 282-290.
31. Nijssen, B., G. M. O'Donnell, D. P. Lettenmaier, D. Lohmann, and E. F. Wood (2001), Predicting the discharge of global rivers, J. Clim., 14, 3307-3323. (Pubitemid 33053101)
32. Pokhrel, P., H. V. Gupta, and T. Wagener (2008), A spatial regularization approach to parameter estimation for a distributed watershed model, Water Resour. Res., 44, W12419, doi:10.1029/2007WR006615.
33. Post, D. A., and A. J. Jakeman (1996), Relationships between catchment attributes and hydrological response characteristics in small Australian mountain ash catchments, Hydrol. Process., 10, 877-892.
34. Post, D. A., and A. J. Jakeman (1999), Predicting the daily streamflow of ungauged catchments in S.E. Australia by regionalizing the parameters of a lumped conceptual rainfall-runoff model, Ecol. Modell., 123, 91-104.
35. Post, D. A., J. A. Jones, and G. E. Grant (1998), An improved methodology for predicting the daily response of ungauged catchments, Environ. Mod-ell. Softw., 13, 395-403. (Pubitemid 29000492)
36. Rosenberg, E. A., A. W. Wood, and A. C. Steinemann (2011), Statistical applications of physically based hydrologic models to seasonal streamflow forecasts, Water Resour. Res., 47, W00H14, doi:10.1029/2010WR010101.
37. Samaniego, L., A. Bardossy, and R. Kumar (2010a), Streamflow prediction in ungauged catchments using copula-based dissimilarity measures, WaterResour. Res., 46, W02506, doi: 10.1029/2008WR007695.
38. Samaniego L., R. Kumar, and S. Attinger (2010b), Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale, Water Resour. Res., 46: W05523, doi:10.1029/2008WR007327.
39. Schaake J., S. Cong, and Q. Duan (2006), The U. S. MOPEX Data Set, IAHS Red Book #307.
40. Schwarz, G. E., and R. B. Alexander (1995), State soil geographic (STATSGO) database for the conterminous United States, U.S. Geol. Surv. Open File Rep. 95-449, U.S. Geological Survey.
41. Seaber, P. R., F. P. Kapinos, and G. L. Knapp (1987), Hydrologic unit maps, U.S. Geol. Surv. Water-Supply Paper 2294, 63 pp., U.S. Government Printing Office, Washington, D. C.
42. Siebert (1999), Regionalisation of parameters for a conceptual rainfall-runoff model, Agri. For. Meteorol, 98-99, 279-293.
43. Singh, V. P., and D. K. Frevert (2006), Watershed Models, Taylor and Francis, Philadelphia, Pa.
44. Skaien, J., G. Bloschl, and A. W. Western (2003), Characteristic space scales and timescales in hydrology, Water Resour. Res., 39(10), 11.1-11.19.
45. Swenson, S. C, and J. Wahr (2006), Post-processing removal of correlated errors in GRACE data, Geophys. Res. Lett., 33, L08402, doi:10.1029/2005GL025285. (Pubitemid 43950130)
46. Tang, Q., S. Peterson, R. H. Cuenca, Y. Hagimoto, and D. P. Lettenmaier (2009), Satellite-based near-real-time estimation of irrigated crop water consumption, J. Geophys. Res., 114, D05114, doi:10.1029/2008JD 010854.
47. Vandewiele, G. L., and A. Elias (1995), Monthly water balance of ungaged catchments obtained by geographical regionalization, J. Hydrol., 170, 277-291. (Pubitemid 26441735)
48. Viviroli, D., H. Mittelbach, J. Gurtz, and R. Weingartner (2009), Continuous simulation for flood estimation in ungauged mesoscale catchments of Switzerland-Part II: Parameter regionalization and flood estimation results, J. Hydrol., 377, 208-225.
49. Wackernagel, H. 2003: Multivariate Geostatistics, 3rd ed., 387 pp., Springer, New York.
50. Wagener, T., and H. S. Wheater (2006), Parameter estimation and regional-ization for continuous rainfall-runoff models including uncertainty, J. Hydrol., 320, 132-154.
51. Yadav, M., T. Wagener, and H. Gupta (2007), Regionalization of constraints on expected watershed response behavior for improved predictions in ungauged basins, Adv. Water Res., 30, 1756-1774. (Pubitemid 46712120)
52. Zhang, Z., T. Wagener, P. Reed, and R. Bhushan (2008), Reducing uncertainty in predictions in ungauged basins by combining hydrologic indices regionalization and multiobjective optimization, Water Resour. Res, 44, W00B04, doi:10.1029/2008WR006833.