A nonparametric approach for paleohydrologic reconstruction of annual streamflow ensembles

Water Resources Research

Volumn 45, Issue 6, 2009, Pages

  Gangopadhyay, Subhrendu ^a   Harding, Benjamin L ^a   Rajagopalan, Balaji ^b,c   Lukas, Jeffrey J ^c   Fulp, Terrance J ^d  

^a AMEC FOSTER WHEELER   (United States)

^b University of Colorado   (United States)

^c UNIVERSITY OF COLORADO   (United States)

^d U S BUREAU OF RECLAMATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARIZONA; COLORADO RIVER; COLORADO RIVER BASIN; CONFIDENCE INTERVAL; CROSS VALIDATION; K-NEAREST NEIGHBORS; K-NN ALGORITHM; NONPARAMETRIC APPROACHES; NONPARAMETRIC METHODS; PARAMETRIC APPROACH; PARAMETRIC METHOD; RECONSTRUCTION PERIOD; TREE RING DATA; TREE RINGS; TREE-RING CHRONOLOGIES; TREE-RING RECONSTRUCTION; WATER RESOURCES MODELING; WATER RESOURCES PLANNING;

GAGES; MOTION COMPENSATION; PLANNING; RECORDS MANAGEMENT; REPAIR; TRACKING (POSITION); WATER; WATER RESOURCES;

STREAM FLOW;

ALGORITHM; DENDROCHRONOLOGY; HYDROLOGICAL MODELING; PALEOHYDROLOGY; RECONSTRUCTION; RIVER BASIN; STREAMFLOW; WATER MANAGEMENT; WATER PLANNING; WATER RESOURCE;

COLORADO BASIN [NORTH AMERICA];

EID: 72149117935     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2008WR007201     Document Type: Article

References (27)

1. Chow, V. T., D. R. Maidment, and L. W. Mays (1988), Applied Hydrology, 572 pp., McGraw-Hill, New York.
2. Conover, W. J., M. E. Johnson, and M. M. Johnson (1981), A comparative study of tests for homogeneity of variances, with applications to the outer continental shelf bidding data, Technometrics, 23, 351-361, doi:10.2307/1268225.
3. Cook, E. R., and K. Briffa (1990), A comparison of some tree-ring standardization methods, in Methods of Dendrochronology: Applications in the Environmental Sciences, edited by E. R. Cook and L. A. Kairiukstis, pp. 153- 162, Springer, New York.
4. Cook, E. R., K. Briffa, S. Shiyatov, and V. Mazepa (1990), Tree-ring standardization and growth-trend estimation, in Methods of Dendrochronology: Applications in the Environmental Sciences, edited by E. R. Cook and L. A. Kairiukstis, pp. 104- 123, Springer, New York.
5. Cook, E. R., C. A.Woodhouse, C. M. Eakin, D. M. Meko, and D.W. Stahle (2004), Long-term aridity changes in the western United States, Science, 306, 1015-1018, doi:10.1126/science.1102586. (Pubitemid 39482901)
6. Deutsch, C. V., and A. G. Journel (1992), Geostatistical Software Library and User's Guide, 340 pp., Oxford Univ. Press, New York.
7. Fritts, H. C. (1976), Tree Rings and Climate, 567 pp., Academic, London.
8. Gangopadhyay, S., M. Clark, and B. Rajagopalan (2005), Statistical downscaling using K-nearest neighbors, Water Resour. Res., 41, W02024, doi:10.1029/2004WR003444. (Pubitemid 40393942)
9. Grantz, K., B. Rajagopalan, M. Clark, and E. Zagona (2005), A technique for incorporating large-scale climate information in basin-scale ensemble streamflow forecasts, Water Resour. Res., 41, W10410, doi:10.1029/2004WR003467. (Pubitemid 41705695)
10. Haan, C. T. (1977), Statistical Methods in Hydrology, 378 pp., Iowa State Univ. Press, Ames.
11. Helsel, D. R., and R. M. Hirsch (2002), Statistical methods in water resources, U.S. Geol. Surv. Tech. Water Resour. Invest., Book 4, Chap. A3, 510 pp.
12. Hidalgo, H. G., T. C. Piechota, and J. A. Dracup (2000), Alternative principal components regression procedures for dendrohydrologic reconstructions, Water Resour. Res., 36, 3241-3249, doi:10.1029/2000WR900097.
13. Lall, U., and A. Sharma (1996), A nearest neighbor bootstrap for timeseries resampling, Water Resour. Res., 32, 679-693, doi:10.1029/95WR02966. (Pubitemid 26351903)
14. Loader, C. (1999), Local Regression and Likelihood, Springer, New York.
15. Meko, D. M., and D. A. Graybill (1995), Tree-ring reconstruction of Upper Gila River discharge, Water Resour. Bull., 31, 605-616.
16. Meko, D. M., C. W. Stockton, and W. R. Boggess (1995), The tree-ring record of severe sustained drought, Water Resour. Bull., 31, 789-801.
17. Meko, D. M., M. D. Therrell, C. H. Baisan, and M. K. Hughes (2001), Sacramento River flow reconstructed to A.D. 869 from tree rings, J. Am. Water Resour. Assoc., 37(4), 1029-1040, doi:10.1111/j.1752-1688. 2001.tb05530.x.
18. Myers, R. H. (1990), Classical and Modern Regression with Applications, 488 pp., PWS, Boston, Mass.
19. Prairie, J., B. Rajagopalan, T. Fulp, and E. Zagona (2006), Modified K-nn model for stochastic streamflow simulation, J. Hydrol. Eng., 11(4), 371-378, doi:10.1061/(ASCE)1084-0699(2006)11:4(371). (Pubitemid 43918908)
20. Prairie, J., K. Nowak, B. Rajagopalan, U. Lall, and T. Fulp (2008), A stochastic nonparametric approach for streamflow generation combining observational and paleo reconstructed data, Water Resour. Res., 44, W06423, doi:10.1029/2007WR006684.
21. Rajagopalan, B., and U. Lall (1999), A k-nearest neighbor simulator for daily precipitation and other variables, Water Resour. Res., 35, 3089-3101, doi:10.1029/1999WR900028. (Pubitemid 29461972)
22. Smith, L. P., and C. W. Stockton (1981), Reconstructed streamflow for the Salt and Verde rivers from tree-ring data, Water Resour. Bull., 17, 939-947.
23. Stockton, C. W., and G. C. Jacoby (1976), Long-term surface-water supply and streamflow trends in the Upper Colorado River Basin based on treering analyses, Lake Powell Res. Proj. Bull. 18, 70 pp., Res. Appl. to Natl. Needs, Natl. Sci. Found., Arlington, Va.
24. Stokes, M. A., and T. L. Smiley (1968), An Introduction to Tree-Ring Dating, Univ. of Chicago Press, Chicago, Ill.
25. Venables,W. N., and B. D. Ripley (2002), Modern Applied Statistics with S, 495 pp., Springer, New York.
26. Wilks, D. S. (1995), Statistical Methods in the Atmospheric Sciences: An Introduction, 467 pp., Elsevier, New York.
27. Woodhouse, C. A., S. T. Gray, and D. M. Meko (2006), Updated streamflow reconstructions for the Upper Colorado River Basin, Water Resour. Res., 42, W05415, doi:10.1029/2005WR004455. (Pubitemid 43955915)