Approximating uncertainty of annual runoff and reservoir yield using stochastic replicates of global climate model data

MC Peel; R Srikanthan; TA McMahon; DJ Karoly

Journal article

Approximating uncertainty of annual runoff and reservoir yield using stochastic replicates of global climate model data

MC Peel, R Srikanthan, TA McMahon, DJ Karoly

HYDROLOGY AND EARTH SYSTEM SCIENCES | COPERNICUS GESELLSCHAFT MBH | Published : 2015

DOI: 10.5194/hess-19-1615-2015

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University of Melbourne Researchers

Murray Peel Author Infrastructure Engineering

Thomas McMahon Author Infrastructure Engineering

David Karoly Author Earth Sciences

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Grants

Awarded by Australian Research Council

Funding Acknowledgements

This research was financially supported by Australian Research Council grants LP100100756 and FT120100130, Melbourne Water and the Australian Bureau of Meteorology. Lionel Siriwardena, Sugata Narsey and Ian Smith assisted with extraction and analysis of CMIP3 GCM data. We acknowledge the modelling groups, the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and the WCRP's Working Group on Coupled Modelling (WGCM) for their roles in making available the WCRP CMIP3 multi-model data set. Support of this data set is provided by the Office of Science, US Department of Energy. We also acknowledge the contribution of two anonymous reviewers whose comments and suggestions improved the paper.