Articles | Volume 22, issue 7
Hydrol. Earth Syst. Sci., 22, 4047–4060, 2018
https://doi.org/10.5194/hess-22-4047-2018
Hydrol. Earth Syst. Sci., 22, 4047–4060, 2018
https://doi.org/10.5194/hess-22-4047-2018
Research article
26 Jul 2018
Research article | 26 Jul 2018

Hydrological effects of climate variability and vegetation dynamics on annual fluvial water balance in global large river basins

Jianyu Liu et al.

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Cited articles

Abatzoglou, J. T. and Ficklin, D. L.: Climatic and physiographic controls of spatial variability in surface water balance over the contiguous United States using the Budyko relationship, Water Resour. Res., 53, 1–14, https://doi.org/10.1002/2017wr020843, 2017. 
Arnell, N. W. and Gosling, S. N.: The impacts of climate change on river flow regimes at the global scale, J. Hydrol., 486, 351–364, 2013. 
Berghuijs, W. R. and Woods, R. A.: A simple framework to quantitatively describe monthly precipitation and temperature climatology, Int. J. Climatol., 36, 3161–3174, 2016. 
Biswal, B.: Dynamic hydrologic modeling using the zero-parameter Budyko model with instantaneous dryness index, Geophys. Res. Lett., 43, 9696–9703, https://doi.org/10.1002/2016gl070173, 2016. 
Buermann, W.: Analysis of a multiyear global vegetation leaf area index data set, J. Geophys. Res.-Atmos., 107, 1–14, https://doi.org/10.1029/2001jd000975, 2002. 
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Short summary
Considering effective precipitation (Pe), the Budyko framework was extended to the annual water balance analysis. To reflect the mismatch between water supply (precipitation, P) and energy (potential evapotranspiration, E0), a climate seasonality and asynchrony index (SAI) were proposed in terms of both phase and amplitude mismatch between P and E0.