The complementary relationship and generation of the Budyko functions

Geophysical Research Letters

Volumn 42, Issue 6, 2015, Pages 1781-1790

  Zhou, Sha ^a   Yu, Bofu ^b   Huang, Yuefei ^a   Wang, Guangqian ^a  

^a TSINGHUA UNIVERSITY   (China)

^b GRIFFITH UNIVERSITY   (Australia)

Author keywords

Budyko functions; complementary relationship; generating function

Indexed keywords

CATCHMENTS; CLIMATE CHANGE;

ACTUAL EVAPOTRANSPIRATION; CATCHMENT CHARACTERISTICS; COMPLEMENTARY RELATIONSHIP; GENERATING FUNCTIONS; HYDROLOGIC IMPACTS; POTENTIAL EVAPOTRANSPIRATION; SIMPLE METHOD; WATER AND ENERGIES;

EVAPOTRANSPIRATION;

CATCHMENT; EVAPOTRANSPIRATION; HYDROLOGICAL RESPONSE; PRECIPITATION (CLIMATOLOGY); RUNOFF; SENSITIVITY ANALYSIS;

EID: 84927748791     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2015GL063511     Document Type: Article

References (27)

1. Arora, V. K., (2002), The use of the aridity index to assess climate change effect on annual runoff, J. Hydrol., 265 (1-4), 164-177, doi: 10.1016/S0022-1694(02)00101-4.
2. Budyko, M. I., (1958), The Heat Balance of the Earth's Surface, pp. 144-155, Natl. Weather Serv., U. S. Dep. of Commer., Washington, D. C.
3. Budyko, M. I., (1974), Climate and Life, 508 pp., Academic Press, New York.
4. Choudhury, B. J., (1999), Evaluation of an empirical equation for annual evaporation using field observations and results from a biophysical model, J. Hydrol., 216, 99-110.
5. Dooge, J., (1992), Sensitivity of runoff to climate change: A Hortonian approach, Bull. Am. Meteorol. Soc., 73 (12), 2013-2024.
6. Dooge, J. C. I., M. Bruen, and, B. Parmentier, (1999), A simple model for estimating the sensitivity of runoff to long-term changes in precipitation without a change in vegetation, Adv. Water Resour., 23, 153-163.
7. Fu, B. P., (1981), On the calculation of the evaporation from land surface [in Chinese], Sci. Atmos. Sin., 5 (1), 23-31.
8. Groenendijk, M., et al. (2011), Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data, Agric. For. Meteorol., 151 (1), 22-38, doi: 10.1016/j.agrformet.2010.08.013.
9. Koster, R., et al. (2004), Regions of strong coupling between soil moisture and precipitation, Science, 305, 1138-1140, doi: 10.1126/science.1100217.
10. Li, D., M. Pan, Z. Cong, L. Zhang, and, E. Wood, (2013), Vegetation control on water and energy balance within the Budyko framework, Water Resour. Res., 49, 969-976, doi: 10.1002/wrcr.20107.
11. Mezentsev, V. S., (1955), More on the calculation of average total evaporation, Meteorol. Gidrol., 5, 24-26.
12. Ol'dekop, E. M., (1911), On evaporation from the surface of river basins, Trans. Meteorol. Obs. Univ. Tartu, 4, 200.
13. Pike, J. G., (1964), The estimation of annual runoff from meteorological data in a tropical climate, J. Hydrol., 12, 2116-2123.
14. 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.
15. Schreiber, P., (1904), Ueber die Beziehungen zwischen dem Niederschlag und der Wasserfvhrung der flvsse in Mitteleuropa, Z. Meteorol., 21, 441-452.
16. Sharif, H. O., W. Crow, N. L. Miller, and, E. F. Wood, (2007), Multidecadal high-resolution hydrologic modeling of the Arkansas-Red River basin, J. Hydrometeorol., 8 (5), 1111-1127, doi: 10.1175/JHM622.1.
17. Turc, L., (1954), Le bilan d'eau des sols: Relation entre les precipitations, l'evaporation et l'ecoulement, Ann. Agron. Serie A, 5, 491-595.
18. U.S. Department of Agriculture Soil Conservation Service (SCS) (1985), National Engineering Handbook, Section 4: Hydrology, U.S. Gov. Print. Off., Washington, D. C.
19. Wang, D., and, Y. Tang, (2014), A one parameter Budyko model for water balance captures emergent behavior in Darwinian hydrologic models, Geophys. Res. Lett., 41, 4567-4577, doi: 10.1002/2014GL060509.
20. Xu, X., D. Yang, H. Yang, and, H. Lei, (2014), Attribution analysis based on the Budyko hypothesis for detecting the dominant cause of runoff decline in Haihe basin, J. Hydrol., 510, 530-540, doi: 10.1016/j.jhydrol.2013.12.052.
21. 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.
22. Yang, D., W. Shao, P. J.-F. Yeh, H. Yang, S. Kanae, and, T. Oki, (2009), Impact of vegetation coverage on regional water balance in the nonhumid regions of China, Water Resour. Res., 45, W00A14, doi: 10.1029/2008WR006948.
23. Yang, H., and, D. Yang, (2011), Derivation of climate elasticity of runoff to assess the effects of climate change on annual runoff, Water Resour. Res., 47, W07526, doi: 10.1029/2010WR009287.
24. 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.
25. 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, 701-708, doi: 10.1029/2000WR900325.
26. Zhang, L., K. Hickel, W. R. Dawes, F. H. S. Chiew, A. W. Western, and, P. R. Briggs, (2004), A rational function approach for estimating mean annual evapotranspiration, Water Resour. Res., 40, W02502, doi: 10.1029/2003WR002710.
27. Zheng, H., L. Zhang, R. Zhu, C. Liu, Y. Sato, and, Y. Fukushima, (2009), Responses of streamflow to climate and land surface change in the headwaters of the Yellow River Basin, Water Resour. Res., 45, W00A19, doi: 10.1029/2007WR006665.