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. A reliable climate dataset is the backbone for modelling the essentialprocesses of the water cycle and predicting future conditions. Although anumber of gridded climate datasets are available for the North American contentwhich provide reasonable estimates of climatic conditions in the region,there are inherent inconsistencies in these available climate datasets(e.g., spatially and temporally varying data accuracies, meteorologicalparameters, lengths of records, spatial coverage, temporal resolution, etc.).These inconsistencies raise questions as to which datasets are the mostsuitable for the study area and how to systematically combine these datasetsto produce a reliable climate dataset for climate studies and hydrologicalmodelling. This study suggests a framework called the REFerence ReliabilityEvaluation System (REFRES) that systematically ranks multiple climatedatasets to generate a hybrid climate dataset for a region. To demonstratethe usefulness of the proposed framework, REFRES was applied to produce ahistorical hybrid climate dataset for the Athabasca River basin (ARB) in Alberta,Canada. A proxy validation was also conducted to prove the applicability ofthe generated hybrid climate datasets to hydrologic simulations. This studyevaluated five climate datasets, including the station-based gridded climatedatasets ANUSPLIN (Australia National University Spline), Alberta Township, and the Pacific Climate Impacts Consortium's (PCIC) PNWNAmet (PCIC NorthWest North America meteorological dataset), a multi-source griddeddataset (Canadian Precipitation Analysis; CaPA), and a reanalysis-baseddataset (North American Regional Reanalysis; NARR). The results showed that the gridded climate interpolatedfrom station data performed better than multi-source- and reanalysis-basedclimate datasets. For the Athabasca River basin, Township and ANUSPLIN wereranked first for precipitation and temperature, respectively. The proxyvalidation also confirmed the utility of hybrid climate datasets inhydrologic simulations compared with the other five individual climatedatasets investigated in this study. These results indicate that the hybridclimate dataset provides the best representation of historical climaticconditions and, thus, enhances the reliability of hydrologic simulations.

Hybrid climate datasets from a climate data evaluation system and their impacts on hydrologic simulations for the Athabasca River basin in Canada