Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 371
Articles | Volume 371
https://doi.org/10.5194/piahs-371-167-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/piahs-371-167-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 371
12 Jun 2015
 | 12 Jun 2015

The need of the change of the conceptualisation of hydrologic processes under extreme conditions – taking reference evapotranspiration as an example

S. Liu, L. Tan, X. Mo, and S. Zhang

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Cited articles

Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56, FAO, Rome, 300, 6541, 1998.
Blöschl, G., Sivapalan, M., and Wagener, T. (Eds.): Runoff prediction in ungauged basins: Synthesis across processes places and scales, Cambridge University Press, Britain, 2013.
IPCC 2013: Climate Change 2013, The Physical Science Basis, Summary for Policymakers, in: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., the IPCC, Switzerland, p. 18, 2013.
Liu, S. X., Mo, X. G., Xia, J., Liu, C. M., and Ji, L. N.: The uncertainty analysis of the wetted perimeter method via axis scaling for setting minimum ecological in-stream flow requirements, Publ. No. 322, IAHS, Wallingford, UK, 193–198. 2008.
Zhang, S. H., Liu, S. X., Mo, X. G., Shu, C., Sun, Y., and Zhang, C.: Assessing the impact of Climate Change on reference evapotranspiration in Aksu river basin, J. Geogr. Sci., 65, 1363–1370, 2010.
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Short summary
By taking an example of Allen’s formula as a hydrological model based on long-term data at a Chinese site, the relationships between driving forces and responses for average, minimum and maximum values at daily, monthly and annual scale are revealed. It indicates due to the relationships’ nonlinearity a routine model may not be able to catch hydrological responses extreme from extreme driving events and it is even more so for future. Finding a primary driver is one of the ways for improvements.
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