A long-term, temporally consistent, gridded daily meteorological dataset for northwestern North America

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dc.contributor.authorSchoeneberg (Werner), Arelia T.
dc.contributor.authorSchnorbus, Markus A.
dc.contributor.authorShrestha, Rajesh R.
dc.contributor.authorCannon, Alex J.
dc.contributor.authorZwiers, Francis W.
dc.contributor.authorDayon, Gildas
dc.contributor.authorAnslow, Faron
dc.date.accessioned2025-04-10T20:27:24Z
dc.date.available2025-04-10T20:27:24Z
dc.date.issued2019
dc.description.abstractWe describe a spatially contiguous, temporally consistent high-resolution gridded daily meteorological dataset for northwestern North America. This >4 million km2 region has high topographic relief, seasonal snowpack, permafrost and glaciers, crosses multiple jurisdictional boundaries and contains the entire Yukon, Mackenzie, Saskatchewan, Fraser and Columbia drainages. We interpolate daily station data to 1/16° spatial resolution using a high-resolution monthly 1971–2000 climatology as a predictor in a thin-plate spline interpolating algorithm. Only temporally consistent climate stations with at least 40 years of record are included. Our approach is designed to produce a dataset well suited for driving hydrological models and training statistical downscaling schemes. We compare our results to two commonly used datasets and show improved performance for climate means, extremes and variability. When used to drive a hydrologic model, our dataset also outperforms these datasets for runoff ratios and streamflow trends in several, high elevation, sub-basins of the Fraser River.
dc.description.reviewstatusReviewed
dc.description.scholarlevelFaculty
dc.identifier.citationWerner, A. T., Schnorbus, M. A., Shrestha, R. R., Cannon, A. J., Zwiers, F. W., Dayon, G., & Anslow, F. (2019). A long-term, temporally consistent, gridded daily meteorological dataset for northwestern North America. Scientific Data, 6(1), 180299. https://doi.org/10.1038/sdata.2018.299
dc.identifier.urihttps://doi.org/10.1038/sdata.2018.299
dc.identifier.urihttps://hdl.handle.net/1828/21761
dc.language.isoen
dc.publisherScientific Data
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectUN SDG 13: Climate Action
dc.subject#journal article
dc.subjectPacific Climate Impacts Consortium (PCIC)
dc.titleA long-term, temporally consistent, gridded daily meteorological dataset for northwestern North America
dc.typeArticle

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