Articles | Volume 371
https://doi.org/10.5194/piahs-371-17-2015
https://doi.org/10.5194/piahs-371-17-2015
12 Jun 2015
 | 12 Jun 2015

Hydrologic nonstationarity and extrapolating models to predict the future: overview of session and proceeding

F. H. S. Chiew and J. Vaze

Cited articles

Ainsworth, E. A. and Rogers, A.: The response of photosynthesis and stomatal conductance to rising CO2: mechanisms and environmental interactions, Plant. Cell Environ., 30, 258–270, https://doi.org/10.1111/j.1365-3040.2007.01641.x, 2007.
Arora, V.: Modelling vegetation as a dynamic component in soil-vegetation-atmosphere transfer schemes and hydrological models, Rev. Geophys., 40, 3-1–3-26, https://doi.org/10.1029/2001RG000103, 2002.
Betts, R. A., Boucher, O., Collins, M., Cox, P. M., Falloon, P. D., Betts, N., Hemming, D. L., Huntingford, C., Jones, C. D., Sexton, D. M. H., and Webb, M. J.: Projected increase in continental runoff due to plant response to increasing carbon dioxide, Nature, 448, 1037–1041, https://doi.org/10.1038/nature06045, 2007.
Bloschl, G., Sivapalan, M. Wagener, T., Viglione, A., and Savenjie, H. (Eds.): Runoff Prediction in Ungauged Basins: Synthesis across Processes, Places and Scales, Cambridge University Press, 462 pp., 2013.
Buytaert, W. and Beven, K.: Regionalisation as a learning process, Water Resour. Res., 45, W11419, https://doi.org/10.1029/2008WR007359, 2009.
Download
Short summary
This paper provides an overview of this IAHS symposium and PIAHS proceeding on “hydrologic nonstationarity and extrapolating models to predict the future”. The paper provides a brief review of research on this topic, presents approaches used to account for nonstationarity when extrapolating models to predict the future, and summarises the papers in this session and proceeding.