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Hydrologic Nonstationarity and Extrapolating Models to Predict the Future: Overview of Session and Proceeding : Volume 371, Issue 371 (12/06/2015)

By Chiew, F. H. S.

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Book Id: WPLBN0004021426
Format Type: PDF Article :
File Size: Pages 5
Reproduction Date: 2015

Title: Hydrologic Nonstationarity and Extrapolating Models to Predict the Future: Overview of Session and Proceeding : Volume 371, Issue 371 (12/06/2015)  
Author: Chiew, F. H. S.
Volume: Vol. 371, Issue 371
Language: English
Subject: Science, Proceedings, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2015
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Vaze, J., & S. Chie, F. H. (2015). Hydrologic Nonstationarity and Extrapolating Models to Predict the Future: Overview of Session and Proceeding : Volume 371, Issue 371 (12/06/2015). Retrieved from http://www.ebooklibrary.org/


Description
Description: CSIRO Land and Water Flagship, GPO Box 1666, Canberra, ACT 2601, Australia. 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.

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

Excerpt
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, doi: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, doi: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, doi: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, doi:10.1029/2008WR007359, 2009.; Cheng, L., Zhang, L., Wang, Y. P., Yu, Q., Eamus, D., and O'Grady, A.: Impacts of elevated CO2, climate change and their interactions in four different catchments in Australia, J. Hydrol., 519, 1350–1361, doi:10.1016/j.jhydrol.2014.09.020, 2014.; Chiew, F. H. S., Teng, J., Vaze, J., Post, D. A., Perraud, J.-M., Kirono, D. G. C., and Viney, N. R.: Estimating climate change impact on runoff across south-east Australia: method, results and implications of modelling method, Water Resour. Res., 45, W10414, doi:10.1029/2008WR007338, 2009.; Chiew, F. H. S., Potter, N. J., Vaze, J., Petheram, C., Zhang, L., Teng, J., and Post, D. A.: Observed hydrologic non-stationarity in far south-eastern Australia: implications and future modelling predictions, Stoch. Environ. Res. Risk Assess., 28, 3–15, doi:10.1007/s00477-013-0755-5, 2014.; Christensen, N. S. and Lettenmaier, D. P.: A multimodel ensemble approach to assessment of climate change impacts on the hydrology and water resources of the Colorado River Basin, Hydrol. Earth Syst. Sci., 11, 1417–1434, doi:10.5194/hess-11-1417-2007, 2007.; Clifford, N. J.: Hydrology: the changing paradigm, Prog. Phys. Geogr., 26, 290–301, doi:10.1191/0309133302pp337pr, 2002.; Colorado State University: Workshop on Nonstationarity, Hydrologic Frequency Analysis and Water Management, Colorado Water Institute, Information Series 109, 304 pp., 2010.; Coron, L., Andreassian, V., Perrin, C., Lerat, J., Vaze, J., Bourqui, M., and Hendrickx, F.: Crash testing hydrological models in contrasted climate conditions: an experiment on 216 Australian catchments, Water Resour. Res., 48, W05552, doi:10.1029/2011WR011721, 2012.; Efstratiadis, A. andKoutsoyiannis, D.: One decade of multi-objective calibration approaches in hydrological modelling: a review, Hydrol. Sci. J., 55, 58–78, 2010.; Fenicia, F., McDonnell, J. J., and Savenije, H. H. G. : Learning from model improvement: on the contribution of complementary data to process understanding, Water Resour. Res., 44, W06419, doi:10.1029/2007WR006386, 2008.; Grayson, R. G. and Bloschl, G.: Spatial processes, organisations and patterns, in: Spatial Patterns in Catchment Hy

 

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