Articles | Volume 24, issue 4
Hydrol. Earth Syst. Sci., 24, 1975–1984, 2020
https://doi.org/10.5194/hess-24-1975-2020

Special issue: HESS Opinions 2020

Hydrol. Earth Syst. Sci., 24, 1975–1984, 2020
https://doi.org/10.5194/hess-24-1975-2020

Opinion article 17 Apr 2020

Opinion article | 17 Apr 2020

HESS Opinions: Beyond the long-term water balance: evolving Budyko's supply–demand framework for the Anthropocene towards a global synthesis of land-surface fluxes under natural and human-altered watersheds

A. Sankarasubramanian 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, 7630–7643, https://doi.org/10.1002/2017WR020843, 2017. 
Allaire, M. C., Kroll, C. N., and Vogel, R. M.: The hydromorphology of an urbanizing watershed using multivariate elasticity, Adv. Water Resour., 86, 147–154, 2015. 
Archfield, S. A., Clark, M., Arheimer, B., Hay, L. E., Farmer, W. H., McMillan, H., Seibert, J., Kiang, J. E. , Wagener, T., Bock, A., Hakala, K., Andréassian, V., Attinger, S., Viglione, A., Knight, R. R., and Over, T. M.: Accelerating advances in continental domain hydrologic modeling, Water Resour. Res., 51, 10078–10091, https://doi.org/10.1002/2015WR017498, 2015. 
Archfield, S. A., Hirsch, R. M., Viglione, A., and Blöschl, G.: Fragmented patterns of flood change across the United States, Geophys. Res. Lett., 43, 10-232, https://doi.org/10.1002/2016GL070590, 2016. 
Barros, A. P., Duan, Y., Brun, J., and Medina, M. A.: Flood nonstationarity in the Southeast and Mid-Atlantic Regions of the United States, J. Hydraul. Eng., 19, 05014014, https://doi.org/10.1061/(ASCE)HE.1943-5584.0000955, 2014. 
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Short summary
The Budyko framework which relies on the supply and demand concept could be effectively adapted and extended to quantify the role of drivers – both changing climate and local human disturbances – in altering the land-surface response. This framework is extended with a few illustrative examples for quantifying the variability in land-surface fluxes for natural and human-altered watersheds. Potential for using observed and remotely sensed datasets in capturing this variability is also discussed.