Berghuijs, W. R., Sivapalan, M., Woods, R. A., and Savenije, H. H.: Patterns
of similarity of seasonal water balances: A window into streamflow
variability over a range of time scales, Water Resour. Res., 50,
5638–5661, https://doi.org/10.1002/2014WR015692, 2014.
Blöschl, P. G., Sivapalan, P. M., Wagener, P. T., Viglione, D. A., and
Savenije, H. H.: Runoff Prediction in Ungauged Basins: Synthesis across
Processes, Places and Scales, Cambridge University Press, Cambridge, UK, 2013.
Budyko, M. I.: The Heat Balance of the Earth's Surface, US Department of Commerce,
Washington, DC, USA, 1958.
Chen, X. and Wang, D.: Modeling seasonal surface runoff and base flow based
on the generalized proportionality hypothesis, J. Hydrol., 527, 367–379,
https://doi.org/10.1016/j.jhydrol.2015.04.059, 2015.
Chen, X., Alimohammadi, N., and Wang, D.: Modeling interannual variability
of seasonal evaporation and storage change based on the extended Budyko
framework, Water Resour. Res., 49, 6067–6078,
https://doi.org/10.1002/wrcr.20493, 2013.
Donohue, R. J., Roderick, M. L., and McVicar, T. R.: On the importance of including vegetation dynamics in Budyko's hydrological model, Hydrol. Earth Syst. Sci., 11, 983–995, https://doi.org/10.5194/hess-11-983-2007, 2007.
Duan, Q., Sorooshian, S., and Gupta, V.: Effective and efficient global
optimization for conceptual rainfall-runoff models, Water Resour. Res.,
28, 1015–1031, https://doi.org/10.1029/91WR02985, 1992.
Duan, Q., Schaake, J., Andreassian, V., Franks, S., Goteti, G., Gupta, H.
V., Gusev, Y. M., Habets, F., Hall, A., Hay, L., Hogue, T., Huang, M.,
Leavesley, G., Liang, X., Nasonova, O. N., Noilhan, J., Oudin, L.,
Sorooshian, S., Wagener, T., and Wood, E. F.: Model parameter estimation
experiment (MOPEX): an overview of science strategy and major results from
the second and third workshops, J. Hydrol., 320, 3–17,
https://doi.org/10.1016/j.jhydrol.2005.07.031, 2006.
Fan, Y., Miguez-Macho, G., Weaver, C. P., Walko, R., and Robock, A.:
Incorporating water table dynamics in climate modeling: 1. Water table
observations and equilibrium water table simulations, J. Geophys. Res., 112,
D10125, https://doi.org/10.1029/2006JD008111, 2007.
Farmer, D., Sivapalan, M., and Jothityangkoon, C.: Climate, soil, and
vegetation controls upon the variability of water balance in temperate and
semiarid landscapes: Downward approach to water balance analysis, Water
Resour. Res., 39, 1035, https://doi.org/10.1029/2001WR000328, 2003.
Fu, B. P.: On the calculation of the evaporation from land surface, Sci. Atmos. Sin., 5, 23–31, 1981 (in
Chinese).
Fu, J. and Wang, W.: On the lower bound of Budyko curve: The influence of
precipitation seasonality, J. Hydrol., 570, 292–303,
https://doi.org/10.1016/j.jhydrol.2018.12.062, 2019.
Gao, H., Hrachowitz, M., Schymanski, S. J., Fenicia, F., Sriwongsitanon, N.,
and Savenije, H. H. G.: Climate controls how ecosystems size the root zone
storage capacity at catchment scale, Geophys. Res. Lett., 41, 7916–7923,
https://doi.org/10.1002/2014GL061668, 2014.
Gao, H., Hrachowitz, M., Sriwongsitanon, N., Fenicia, F., Gharari, S., and
Savenije, H. H.: Accounting for the influence of vegetation and landscape
improves model transferability in a tropical savannah region, Water Resour.
Res., 52, 7999–8022, https://doi.org/10.1002/2016WR019574, 2016.
Gao, H., Birkel, C., Hrachowitz, M., Tetzlaff, D., Soulsby, C., and Savenije, H. H. G.: A simple topography-driven and calibration-free runoff generation module, Hydrol. Earth Syst. Sci., 23, 787–809, https://doi.org/10.5194/hess-23-787-2019, 2019.
Gentine, P., D'Odorico, P., Lintner, B. R., Sivandran, G., and Salvucci, G.:
Interdependence of climate, soil, and vegetation as constrained by the
Budyko curve, Geophys. Res. Lett., 39, L19404,
https://doi.org/10.1029/2012GL053492, 2012.
Hickel, K. and Zhang, L.: Estimating the impact of rainfall seasonality on
mean annual water balance using a top-down approach, J. Hydrol., 331,
409–424, https://doi.org/10.1016/j.jhydrol.2006.05.028, 2006.
Homer, C. G., Dewitz, J. A., Yang, L., Jin, S., Danielson, P., Xian, G.,
Coulston, J., Herold, N. D., Wickham, J. D., and Megown, K.: Completion of
the 2011 National Land Cover Database for the conterminous United
States-Representing a decade of land cover change information, Photogramm.
Eng. Rem. S., 81, 345–354, 2015.
Huang, M., Liang, X., and Liang, Y.: A transferability study of model
parameters for the variable infiltration capacity land surface scheme, J.
Geophys. Res., 108, 8864, https://doi.org/10.1029/2003JD003676, 2003.
Jothityangkoon, C., Sivapalan, M., and Farmer, D. L.: Process controls of
water balance variability in a large semi-arid catchment: downward approach
to hydrological model development, J. Hydrol., 254, 174–198,
https://doi.org/10.1016/S0022-1694(01)00496-6, 2001.
Konapala, G. and Mishra, A. K.: Three-parameter-based streamflow elasticity model: application to MOPEX basins in the USA at annual and seasonal scales, Hydrol. Earth Syst. Sci., 20, 2545–2556, https://doi.org/10.5194/hess-20-2545-2016, 2016.
Li, D.: Assessing the impact of interannual variability of precipitation and
potential evaporation on evapotranspiration, Adv. Water Resour., 70, 1–11,
https://doi.org/10.1016/j.advwatres.2014.04.012, 2014.
Li, D., Pan, M., Cong, Z., Zhang, L., and Wood, E.: Vegetation control on
water and energy balance within the Budyko framework, Water Resour. Res.,
49, 969–976, https://doi.org/10.1002/wrcr.20107, 2013.
Li, H. Y., Sivapalan, M., Tian, F., and Harman, C.: Functional approach to
exploring climatic and landscape controls of runoff generation: 1.
Behavioral constraints on runoff volume, Water Resour. Res., 50, 9300–9322,
https://doi.org/10.1002/2014WR016307, 2014.
Maidment, D. R.: ArcHydro: GIS for Water Resources, ESRI
Press, Redlands, CL, USA, 2002.
Milly, P. C. D.: Climate, soil water storage, and the average annual water
balance, Water Resour. Res., 30, 2143–2156, https://doi.org/10.1029/94WR00586, 1994.
Moore, R. J.: The probability-distributed principle and runoff production at
point and basin scales, Hydrolog. Sci. J., 30, 273–297,
https://doi.org/10.1080/02626668509490989, 1985.
Pike, J. G.: The estimation of annual runoff from meteorological data in a
tropical climate, J. Hydrol., 12, 2116–2123,
https://doi.org/10.1016/0022-1694(64)90022-8, 1964.
Porporato, A., Daly, E., and Rodriguez-Iturbe, I.: Soil water balance and
ecosystem response to climate change, Am. Nat., 164, 625–632,
https://doi.org/10.1086/424970, 2004.
SCS: Hydrology, National Engineering Handbook, Supplement A, Section 4,
Chapter 10, Soil Conservation Service, US Department of Agriculture,
Washington, DC, USA, 1972.
Shao, Q., Traylen, A., and Zhang, L.: Nonparametric method for estimating
the effects of climatic and catchment characteristics on mean annual
evapotranspiration, Water Resour. Res., 48, W03517,
https://doi.org/10.1029/2010WR009610, 2012.
Tang, Y. and Wang, D.: Evaluating the role of watershed properties in
long-term water balance through a Budyko equation based on two-stage partitioning of precipitation,
Water Resour. Res., 53, 4142–4157, https://doi.org/10.1002/2016WR019920,
2017.
Troch, P., Loon, E. V., and Hilberts, A.: Analytical solutions to a
hillslope-storage kinematic wave equation for subsurface flow, Adv. Water
Resour., 25, 637–649, https://doi.org/10.1016/S0309-1708(02)00017-9,
2002.
Turc, L.: Le bilan d'eau des sols: Relation entre les precipitations,
l'evaporation et l'ecoulement, Ann. Agron., 5, 491–595, 1954.
USDA: Gridded Soil Survey Geographic (gSSURGO) Database User Guide, US
Department of Agriculture, Natural Resources Conservation Service, Washington, DC, USA, 2014.
Wang, D.: A new probability density function for spatial distribution of soil water storage capacity leads to the SCS curve number method, Hydrol. Earth Syst. Sci., 22, 6567–6578, https://doi.org/10.5194/hess-22-6567-2018, 2018.
Wang, D. and Hejazi, M.: 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, https://doi.org/10.1029/2010WR010283, 2011.
Wang, D. and Tang, Y.: A one-parameter Budyko model for water balance
captures emergent behavior in Darwinian hydrologic models, Geophys. Res. Lett., 41,
4569–4577, https://doi.org/10.1002/2014GL060509, 2014.
Wood, E. F., Lettenmaier, D. P., and Zartarian, V. G.: A land-surface
hydrology parameterization with subgrid variability for general circulation
models, J. Geophys. Res., 97, 2717–2728,
https://doi.org/10.1029/91JD01786, 1992.
Woods, R.: The relative roles of climate, soil, vegetation and topography in
determining seasonal and long-term catchment dynamics, Adv. Water Resour.
Res., 37, 701–708, https://doi.org/10.1016/S0309-1708(02)00164-1, 2003.
Yang, H., Yang, D., Lei, Z., and Sun, F.: New analytical derivation of the
mean annual water-energy balance equation, Water Resour. Res., 44, W03410,
https://doi.org/10.1029/2007WR006135, 2008.
Yao, L., Libera, D. A., Kheimi, M., Sankarasubramanian, A., and Wang, D.: The Roles of Climate Forcing and Its Variability on Streamflow at Daily, Monthly, Annual, and Long‐Term Scales, Water Resour. Res., 55, e2020WR027111, https://doi.org/10.1029/2020WR027111, 2020.
Yokoo, Y., Sivapalan, M., and Oki, T.: Investigating the roles of climate
seasonality and landscape characteristics on mean annual and monthly water
balances, J. Hydrol., 357, 255–269,
https://doi.org/10.1016/j.jhydrol.2008.05.010, 2008.
Zhang, L., Dawes, W. R., and Walker, G. R.: Response of mean annual
evapotranspiration to vegetation changes at catchment scale, Water Resour.
Res., 37, 701–708, https://doi.org/10.1029/2000WR900325, 2001.
Zhao, R. J.: The Xinanjiang model applied in China, J. Hydrol., 135,
371–381, https://doi.org/10.1016/0022-1694(92)90096-E, 1992.
