Regional patterns of interannual variability of catchment water balances across the continental U.S.: A Budyko framework

Water Resources Research

Volumn 50, Issue 12, 2014, Pages 9177-9193

  Carmona, Alejandra M ^a   Sivapalan, Murugesu ^b,c   Yaeger, Mary A ^b   Poveda, Germán ^a  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

^b United States of America   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

annual water balance; Budyko; interannual variability; MOPEX data set; regional patterns; space time symmetry

Indexed keywords

CLIMATE MODELS; RUNOFF;

ANNUAL WATER BALANCE; BUDYKO; DATA SET; INTERANNUAL VARIABILITY; REGIONAL PATTERN; SPACE TIME SYMMETRY;

CATCHMENTS;

ANNUAL VARIATION; CATCHMENT; COEVOLUTION; DATA SET; ECOREGION; HUMIDITY; LANDSCAPE; PARAMETERIZATION; SATELLITE DATA; WATER BUDGET;

UNITED STATES;

EID: 85027937113     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2014WR016013     Document Type: Article

References (46)

1. Bailey, R. G., P. E. Avers, T. King, and, W. H. McNab, (Eds.) (1994), Ecoregions and subregions of the United States, with supplementary table of map unit descriptions, scale 1:7,500,000, USDA For. Serv., Washington, D. C. [Map].
2. Berghuijs, W. R., M. Sivapalan, R. A. Woods, and, H. H. G. Savenije, (2014), Patterns of similarity of seasonal water balances: A window into streamflow variability over a range of timescales, Water Resour. Res., 50, 5638-5661, doi: 10.1002/2014WR015692.
3. Berry, S. L., G. D Farquhar,. and M. L. Roderick. (2005) Co-evolution of climate, vegetation, soil and air. In: Encyclopedia of Hydrological Sciences, edited by M. G. Anderson, chap. 1:12, vol. 1, 177-192, John Wiley, U. K.
4. Blöschl, G., M. Sivapalan, T. Wagener, A. Viglione, and, H. H. G. Savenije, (Eds.) (2013), Runoff Prediction in Ungauged Basins: Synthesis Across Processes, Places and Scales, Cambridge Univ. Press, Cambridge, U. K.
5. Budyko, M. I., (1974), Climate and Life, Academic, N. Y.
6. Chen, X., N. Alimohammadi, and, D. Wang, (2013), Modeling inter-annual variability of seasonal evaporation and storage change based on the extended Budyko framework, Water Resour. Res., 49, 6067-6078, doi: 10.1002/wrcr.20493.
7. Cheng, L., Z. Xu, D. Wang, and, X. Cai, (2011), Assessing inter-annual variability of evapotranspiration at the catchment scale using satellite-based evapotranspiration data sets, Water Resour. Res., 47, W09509, doi: 10.1029/2011WR010636.
8. Donohue, R. J., M. L. Roderick, and, T. R. McVicar, (2007), On the importance of including vegetation dynamics in Budyko's hydrological model, Hydrol. Earth Syst. Sci., 11, 983-995.
9. Dooge, J. C. I., (1992), Hydrologic models and climate change, J. Geophys. Res., 97 (D3), 2677-2686, doi: 10.1029/91JD02156.
10. Duan, Q., et al. (2006), Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops, J. Hydrol., 320 (1-2), 3-17.
11. Fan, Y., H. Li, and, G. Miguez-Macho, (2013), Global patterns of groundwater table depth, Science, 339 (6122), 940-943.
12. Farnsworth, R. K., E. S. Thompson, and, E. L. Peck, (1982), Evaporation atlas for the contiguous 48 United States, NOAA Tech. Rep. NWS 33, 26 pp., Natl. Oceanic and Atmos. Admin., Silver Spring, Md.
13. Fu, B. P., (1981), On the calculation of the evaporation from land surface [in Chinese], Sci. Atmos. Sin., 5 (1), 23-31.
14. Gupta, V. K., B. T. Milne, and, G. Poveda, (2002), Towards a scale invariant evapotranspiration equation using real-space renormalization, Eos Trans. AGU, 83 (47), Fall Meet. Suppl., Abstract H62F-08.
15. Harman, C., and, P. A. Troch, (2013), Darwinian hydrology: Can the methodology Charles Darwin pioneered help hydrologic science?, Hydrol. Earth Syst. Sci., 18, 417-433, doi: 10.5194/hess-18-417-2014.
16. Harman, C. J., P. A. Troch, and, M. Sivapalan, (2011), Functional model of water balance variability at the catchment scale: 2. Elasticity of fast and slow runoff components to precipitation change in the continental United States, Water Resour. Res., 47, W02523, doi: 10.1029/2010WR009656.
17. Jothityangkoon, C., and, M. Sivapalan, (2009), Framework for exploration of climatic and landscape controls on catchment water balance, with emphasis on inter-annual variability, J. Hydrol., 371, 154-168, doi: 10.1016/j.jhydrol.2009.03.030.
18. Koster, R. D., and, M. J. Suarez, (1999), A simple framework for examining the inter-annual variability of land surface moisture fluxes, J. Clim., 12 (7), 1911-1917.
19. L'vovich, M. I., (1979), World Water Resources and Their Future, translated from Russian by, R. L. Nace, AGU, Washington, D. C.
20. Miguez-Macho, G., H. Li, and, Y. Fan, (2008), Simulated water table and soil moisture climatology over North America, Bull. Am. Meteorol. Soc., 89, 663-672.
21. Milly, P. C. D., (1994), Climate, soil water storage, and the average annual water balance, Water Resour. Res., 30 (7), 2143-2156.
22. Montanari, L., M. Sivapalan, and, A. Montanari, (2006), Investigation of dominant hydrological processes in a tropical catchment in a monsoonal climate via the downward approach, Hydrol. Earth Syst. Sci., 3 (1), 769-782.
23. Penman, H. L., (1948), Natural evaporation from open water, bare soil and grass, Proc. R. Soc. London, Ser. A, 193, 120-145.
24. Perdigão, R. A. P., and, G. Blöschl, (2014), Spatiotemporal flood sensitivity to annual precipitation: Evidence for landscape-climate coevolution, Water Resour. Res., 50, 5492-5509, doi: 10.1002/2014WR015365.
25. Pike, J. G., (1964), The estimation of annual runoff from meteorological data in a tropical climate, J. Hydrol., 12, 211-2123.
26. Ponce, V. M., and, A. V. Shetty, (1995a), A conceptual model of catchment water balance. 1. Formulation and calibration, J. Hydrol., 173, 27-40.
27. Ponce, V. M., and, A. V. Shetty, (1995b), A conceptual model of catchment water balance. 2. Application to runoff and baseflow modeling, J. Hydrol., 173, 41-50.
28. Porporato, A., E. Daly, and, I. Rodriguez-Iturbe, (2004), Soil water balance and ecosystem response to climate change, Am. Nat., 164, 625-632.
29. Potter, N. J., and, L. Zhang, (2009), Inter-annual variability of catchment water balance in Australia, J. Hydrol., 369 (12), 120-129, doi: 10.1016/j.jhydrol.2009.02.005.
30. Potter, N. J., L. Zhang, P. C. D. Milly, T. A. McMahon, and, A. J. Jakeman, (2005), Effects of rainfall seasonality and soil moisture capacity on mean annual water balance for Australian catchments, Water Resour. Res., 41, W06007, doi: 10.1029/2004WR003697.
31. Robinson, T. M., K. J. La Pierre, M. A. Vadeboncoeur, K. M. Byrne, M. L. Thomey, and, S. E. Colby, (2012), Seasonal, not annual precipitation drives community productivity across ecosystems, Oikos, 122, 727-738, doi: 10.1111/j.1600-0706.2012.20655.x.
32. Roderick, M. L., and, G. D. Farquhar, (2011), A simple framework for relating variations in runoff to variations in climatic conditions and catchment properties, Water Resour. Res., 47, W00G07, doi: 10.1029/2010WR009826.
33. Sankarasubramanian, A., and, R. M. Vogel, (2002), Annual hydroclimatology of the United States, Water Resour. Res., 38 (6), 1083, doi: 10.1029/2001WR000619.
34. Singh, R., T. Wagener, K. van Werkhoven, M. E. Mann, and, R. Crane, (2011), A trading-space-for-time approach to probabilistic continuous streamflow predictions in a changing climate-Accounting for changing watershed behavior. Hydrol. Earth Syst. Sci., 15, 3591-3603, doi: 10.5194/hess-15-3591-2011.
35. Sivapalan, M., M. A. Yaeger, C. J. Harman, X. Xu, and, P. A. Troch, (2011), Functional model of water balance variability at the catchment scale: 1. Evidence of hydrologic similarity and spacetime symmetry, Water Resour. Res., 47, W02522, doi: 10.1029/2010WR009568.
36. Stephenson, N. L., (1990), Climatic control of vegetation distribution: The role of the water balance, Am. Nat., 135, 649-670.
37. Troch, P. A., G. F. Martinez, V. R. N. Pauwels, M. Durcik, M. Sivapalan, C. J. Harman, P. D. Brooks, H. V. Gupta, and, T. E. Huxman, (2009), Climate and vegetation water-use efficiency at catchment scales, Hydrol. Processes, 23, 2409-2414, doi: 10.1002/hyp.7358.
38. Troch, P. A., G. Carrillo, M. Sivapalan, T. Wagener, and, K. Sawicz, (2013), Climate-vegetation-soil interactions and long-term hydrologic partitioning: Signatures of catchment co-evolution, Hydrol. Earth Syst. Sci., 17, 2209-2217.
39. Wang, D., and, M. Hejazi, (2011), Quantifying the relative contribution of the climate and direct human impacts on mean annual streamflow in the contiguous United States, Water Resour. Res., 47, W00J12, doi: 10.1029/2010WR010283.
40. Wang, T., E. Istanbulluoglu, J. Lenters, and, D. Scott, (2009), On the role of groundwater and soil texture in the regional water balance: An investigation of the Nebraska Sand Hills, USA, Water Resour. Res., 45, W10413, doi: 10.1029/2009WR007733.
41. Wolock, D. M., and, G. J. McCabe, (1999), Explaining spatial variability in mean annual runoff in the conterminous United States, Clim. Res., 11, 149-159.
42. Yang, D., F. Sun, Z. Liu, Z. Cong, G. Ni, and, Z. Lei, (2007), Analyzing spatial and temporal variability of annual water-energy balance in nonhumid regions of China using the Budyko hypothesis, Water Resour. Res., 43, W04426, doi: 10.1029/2006WR005224.
43. Yang, H., D. Yang, Z. Lei, and, F. Sun, (2008), New analytical derivation of the mean annual water-energy balance equation, Water Resour. Res., 44, W03410, doi: 10.1029/2007WR006135.
44. Ye, S., M. A. Yaeger, E. Coopersmith, L. Cheng, and, M. Sivapalan, (2012), Exploring the physical controls of regional patterns of flow duration curves, Part 2: Role of seasonality, the regime curve, and associated process controls, Hydrol. Earth Syst. Sci., 16, 4447-4465, doi: 10.5194/hess-16-4447-2012.
45. Zanardo, S., C. J. Harman, P. A. Troch, P. S. C. Rao, and, M. Sivapalan, (2012), Intra-annual rainfall variability control on interannual variability of catchment water balance: A stochastic analysis, Water Resour. Res., 48, W00J16, doi: 10.1029/2010WR009869.
46. Zhang, L., W. R. Dawes, and, G. R. Walker, (2001), Response of mean annual evapotranspiration to vegetation changes at catchment scale, Water Resour. Res., 37 (3), 701-708.