Articles | Volume 21, issue 9
Hydrol. Earth Syst. Sci., 21, 4495–4516, 2017

Special issue: Observations and modeling of land surface water and energy...

Hydrol. Earth Syst. Sci., 21, 4495–4516, 2017

Research article 11 Sep 2017

Research article | 11 Sep 2017

Necessary storage as a signature of discharge variability: towards global maps

Kuniyoshi Takeuchi and Muhammad Masood

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Cited articles

Ao, T. Q., Ishidaira, H., and Takeuchi, K.: Study of distributed runoff simulation model based on block type TOPMODEL and Muskingum-Cunge method, Ann. J. Hydraul. Eng., JSCE, 43, 7–12, 1999.
Ao, T., Yoshitani, J., Takeuchi, K., Fukami, H., Matsuura, T., and Ishidaira, H.: Effects of sub-basin scale on runoff simulation in distributed model: BTOPMC, IAHS Publ., 282, 227–233, 2003.
Ao, T., Ishidaira, H., Takeuchi, K., Kiem, A., Yoshitani, J., Fukami, K., and Magome, J.: Relating BTOPMC model parameters to physical features of MOPEX basins, J. Hydrol., 320, 84–102, 2006.
AQUASTAT: Ganges-Brahmaputra-Meghna river basin, Irrigation in Southern and Eastern Asia in figures – AQUASTAT Survey – 2011, (last access: 1 September 2017), 2011.
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing area model of hydrology, Hydrological Science-Bulletin, 24, 43–69, 1979.
Short summary
There are many global maps of hydrology and water resources, but none on necessary storage to smooth out discharge variability. This paper provides a methodology to create such a map, taking the Ganges–Brahmaputra–Meghna basin as an example. Necessary storage is calculated by a new method, intensity–duration–frequency curves of flood and drought (FDC–DDC). Necessary storage serves as a signature of hydrological variability and its geographical distribution provides new insights for hydrology.