Journal article
Assessment of precipitation and temperature data from CMIP3 global climate models for hydrologic simulation
TA McMahon, MC Peel, DJ Karoly
Hydrology and Earth System Sciences | Published : 2015
Abstract
The objective of this paper is to identify better performing Coupled Model Intercomparison Project phase 3 (CMIP3) global climate models (GCMs) that reproduce grid-scale climatological statistics of observed precipitation and temperature for input to hydrologic simulation over global land regions. Current assessments are aimed mainly at examining the performance of GCMs from a climatology perspective and not from a hydrology standpoint. The performance of each GCM in reproducing the precipitation and temperature statistics was ranked and better performing GCMs identified for later analyses. Observed global land surface precipitation and temperature data were drawn from the Climatic Research ..
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Grants
Awarded by Australian Research Council
Funding Acknowledgements
This research was financially supported by Australian Research Council grant LP100100756 and FT120100130, Melbourne Water and the Australian Bureau of Meteorology. Lionel Siriwardena, Sugata Narsey and Dr Ian Smith assisted with extraction and analysis of CMIP3 GCM data. Lionel Siriwardena also assisted with extraction and analysis of the CRU 3.10 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, U.S. Department of Energy. The authors thank two anonymous reviewers who provided stimulating comments on the discussion paper.