21 Jan 2015
Research article | 21 Jan 2015
Assessment of precipitation and temperature data from CMIP3 global climate models for hydrologic simulation
T. A. McMahon et al.
Related subject area
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Boer, G. J. and Lambert, S. J.: Second order space–time climate difference statistics, Clim. Dynam., 17, 213–218, 2001.
Bonsal, B. T. and Prowse, T. D.: Regional assessment of GCM-simulated current climate over Northern Canada, Arctic, 59, 115–128, 2006.
Charles, S. P., Bari, M. A., Kitsios, A., and Bates, B. C.: Effect of GCM bias on downscaled precipitation and runoff projections for the Serpentine catchment, Western Australia, Int. J. Climatol., 27, 1673–1690, 2007.
Chervin, R. M.: On the Comparison of Observed and GCM Simulated Climate Ensembles, J. Atmos. Sci., 38, 885–901, 1981.
Chiew, F. H. S. and McMahon, T. A.: Modelling the impacts of climate change on Australian streamflow, Hydrol. Process., 16, 1235–1245, 2002.