DOI: 10.5194/hess-23-5151-2019
论文题名: Hybrid climate datasets from a climate data evaluation system and their impacts on hydrologic simulations for the Athabasca River basin in Canada
作者: Eum H.-I. ; Gupta A.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期: 12 起始页码: 5151
结束页码: 5173
语种: 英语
Scopus关键词: Rivers
; Athabasca River basin
; Climate datasets
; Climatic conditions
; Hydrologic simulations
; Hydrological modelling
; Meteorological parameters
; Reliability Evaluation
; Temporal resolution
; Watersheds
; climate effect
; data assimilation
; data set
; hydrological modeling
; model validation
; simulation
; Athabasca Basin
; Canada
英文摘要: A reliable climate dataset is the backbone for modelling the essential processes of the water cycle and predicting future conditions. Although a number of gridded climate datasets are available for the North American content which 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, meteorological parameters, lengths of records, spatial coverage, temporal resolution, etc.). These inconsistencies raise questions as to which datasets are the most suitable for the study area and how to systematically combine these datasets to produce a reliable climate dataset for climate studies and hydrological modelling. This study suggests a framework called the REFerence Reliability Evaluation System (REFRES) that systematically ranks multiple climate datasets to generate a hybrid climate dataset for a region. To demonstrate the usefulness of the proposed framework, REFRES was applied to produce a historical hybrid climate dataset for the Athabasca River basin (ARB) in Alberta, Canada. A proxy validation was also conducted to prove the applicability of the generated hybrid climate datasets to hydrologic simulations. This study evaluated five climate datasets, including the station-based gridded climate datasets 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 gridded dataset (Canadian Precipitation Analysis; CaPA), and a reanalysis-based dataset (North American Regional Reanalysis; NARR). The results showed that the gridded climate interpolated from station data performed better than multi-source- and reanalysis-based climate datasets. For the Athabasca River basin, Township and ANUSPLIN were ranked first for precipitation and temperature, respectively. The proxy validation also confirmed the utility of hybrid climate datasets in hydrologic simulations compared with the other five individual climate datasets investigated in this study. These results indicate that the hybrid climate dataset provides the best representation of historical climatic conditions and, thus, enhances the reliability of hydrologic simulations. © 2019 Royal Society of Chemistry. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162830
Appears in Collections: 气候变化与战略
There are no files associated with this item.
作者单位: Eum, H.-I., Alberta Environment and Parks, Environment Monitoring and Science Division, 3535 Research Road NW, Calgary, AB T2L 2K8, Canada; Gupta, A., Alberta Environment and Parks, Environment Monitoring and Science Division, 3535 Research Road NW, Calgary, AB T2L 2K8, Canada, Department of Geomatics Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB, Canada
Recommended Citation:
Eum H.-I.,Gupta A.. Hybrid climate datasets from a climate data evaluation system and their impacts on hydrologic simulations for the Athabasca River basin in Canada[J]. Hydrology and Earth System Sciences,2019-01-01,23(12)