FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2945456955> ?p ?o ?g. }

• W2945456955 endingPage "5173" @default.
• W2945456955 startingPage "5151" @default.
• W2945456955 abstract "Abstract. 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." @default.
• W2945456955 created "2019-05-29" @default.
• W2945456955 creator A5021386625 @default.
• W2945456955 creator A5045140098 @default.
• W2945456955 date "2019-12-19" @default.
• W2945456955 modified "2023-10-07" @default.
• W2945456955 title "Hybrid climate datasets from a climate data evaluation system and their impacts on hydrologic simulations for the Athabasca River basin in Canada" @default.
• W2945456955 cites W1246857062 @default.
• W2945456955 cites W1607677476 @default.
• W2945456955 cites W1680347109 @default.
• W2945456955 cites W1689565907 @default.
• W2945456955 cites W1882439680 @default.
• W2945456955 cites W1898919587 @default.
• W2945456955 cites W1912780721 @default.
• W2945456955 cites W1961876720 @default.
• W2945456955 cites W1967592625 @default.
• W2945456955 cites W1970969255 @default.
• W2945456955 cites W1980697082 @default.
• W2945456955 cites W1985328644 @default.
• W2945456955 cites W1986259049 @default.
• W2945456955 cites W1999783660 @default.
• W2945456955 cites W2004934358 @default.
• W2945456955 cites W2007323574 @default.
• W2945456955 cites W2010783983 @default.
• W2945456955 cites W2023005676 @default.
• W2945456955 cites W2027853735 @default.
• W2945456955 cites W2051073255 @default.
• W2945456955 cites W2058998445 @default.
• W2945456955 cites W2062698821 @default.
• W2945456955 cites W2063200147 @default.
• W2945456955 cites W2072613263 @default.
• W2945456955 cites W2093685627 @default.
• W2945456955 cites W2102599615 @default.
• W2945456955 cites W2105103805 @default.
• W2945456955 cites W2105594811 @default.
• W2945456955 cites W2109957029 @default.
• W2945456955 cites W2120860636 @default.
• W2945456955 cites W2122389133 @default.
• W2945456955 cites W2135623280 @default.
• W2945456955 cites W2139016510 @default.
• W2945456955 cites W2145635192 @default.
• W2945456955 cites W2175215085 @default.
• W2945456955 cites W2399798019 @default.
• W2945456955 cites W2509458264 @default.
• W2945456955 cites W2519348055 @default.
• W2945456955 cites W2536331900 @default.
• W2945456955 cites W2553414049 @default.
• W2945456955 cites W2557862900 @default.
• W2945456955 cites W2559271562 @default.
• W2945456955 cites W2607470733 @default.
• W2945456955 cites W2619239515 @default.
• W2945456955 cites W2765563073 @default.
• W2945456955 cites W2787675168 @default.
• W2945456955 cites W2911105719 @default.
• W2945456955 cites W38708963 @default.
• W2945456955 doi "https://doi.org/10.5194/hess-23-5151-2019" @default.
• W2945456955 hasPublicationYear "2019" @default.
• W2945456955 type Work @default.
• W2945456955 sameAs 2945456955 @default.
• W2945456955 citedByCount "12" @default.
• W2945456955 countsByYear W29454569552020 @default.
• W2945456955 countsByYear W29454569552021 @default.
• W2945456955 countsByYear W29454569552022 @default.
• W2945456955 countsByYear W29454569552023 @default.
• W2945456955 crossrefType "journal-article" @default.
• W2945456955 hasAuthorship W2945456955A5021386625 @default.
• W2945456955 hasAuthorship W2945456955A5045140098 @default.
• W2945456955 hasBestOaLocation W29454569551 @default.
• W2945456955 hasConcept C107054158 @default.
• W2945456955 hasConcept C109007969 @default.
• W2945456955 hasConcept C111368507 @default.
• W2945456955 hasConcept C119857082 @default.
• W2945456955 hasConcept C126197015 @default.
• W2945456955 hasConcept C126645576 @default.
• W2945456955 hasConcept C127313418 @default.
• W2945456955 hasConcept C132651083 @default.
• W2945456955 hasConcept C151730666 @default.
• W2945456955 hasConcept C153294291 @default.
• W2945456955 hasConcept C153823671 @default.
• W2945456955 hasConcept C168754636 @default.
• W2945456955 hasConcept C18903297 @default.
• W2945456955 hasConcept C205649164 @default.
• W2945456955 hasConcept C2780148112 @default.
• W2945456955 hasConcept C39432304 @default.
• W2945456955 hasConcept C41008148 @default.
• W2945456955 hasConcept C41156917 @default.
• W2945456955 hasConcept C49204034 @default.
• W2945456955 hasConcept C58640448 @default.
• W2945456955 hasConcept C86803240 @default.
• W2945456955 hasConceptScore W2945456955C107054158 @default.
• W2945456955 hasConceptScore W2945456955C109007969 @default.
• W2945456955 hasConceptScore W2945456955C111368507 @default.
• W2945456955 hasConceptScore W2945456955C119857082 @default.
• W2945456955 hasConceptScore W2945456955C126197015 @default.
• W2945456955 hasConceptScore W2945456955C126645576 @default.
• W2945456955 hasConceptScore W2945456955C127313418 @default.
• W2945456955 hasConceptScore W2945456955C132651083 @default.
• W2945456955 hasConceptScore W2945456955C151730666 @default.

• next