High-resolution statistical downscaling in southwestern British Columbia

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dc.contributor.authorSobie, Stephen R.
dc.contributor.authorMurdock, Trevor Q.
dc.date.accessioned2025-04-10T20:27:27Z
dc.date.available2025-04-10T20:27:27Z
dc.date.issued2017
dc.description.abstractKnowledge from high-resolution daily climatological parameters is frequently sought after for increasingly local climate change assessments. This research investigates whether applying a simple postprocessing methodology to existing statistically downscaled temperature and precipitation fields can result in improved downscaled simulations useful at the local scale. Initial downscaled daily simulations of temperature and precipitation at 10-km resolution are produced using bias correction constructed analogs with quantile mapping (BCCAQ). Higher-resolution (800 m) values are then generated using the simpler climate imprint technique in conjunction with temperature and precipitation climatologies from the Parameter-Elevation Regression on Independent Slopes Model (PRISM). The potential benefit of additional downscaling to 800 m is evaluated using the “Climdex” set of 27 indices of extremes established by the Expert Team on Climate Change Detection and Indices (ETCCDI). These indices are also calculated from weather station observations recorded at 22 locations within southwestern British Columbia, Canada, to evaluate the performance of both the 10-km and 800-m datasets in replicating the observed quantities. In a 30-yr historical evaluation period, Climdex indices computed from 800-m simulated values display reduced error relative to local station observations than those from the 10-km dataset, with the greatest reduction in error occurring at high-elevation sites for precipitation-based indices.
dc.description.reviewstatusReviewed
dc.description.scholarlevelFaculty
dc.description.sponsorshipFunding for the development of BCCAQ was provided in part by Environment Canada.
dc.identifier.citationSobie, S. R., & Murdock, T. Q. (2017). High-resolution statistical downscaling in southwestern British Columbia. Journal of Applied Meteorology and Climatology, 56(6), 1625–1641. https://doi.org/10.1175/JAMC-D-16-0287.1
dc.identifier.urihttps://doi.org/10.1175/JAMC-D-16-0287.1
dc.identifier.urihttps://hdl.handle.net/1828/21806
dc.language.isoen
dc.publisherJournal of Applied Meteorology and Climatology
dc.subjectUN SDG 13: Climate Action
dc.subject#journal article
dc.subjectPacific Climate Impacts Consortium (PCIC)
dc.titleHigh-resolution statistical downscaling in southwestern British Columbia
dc.typeArticle

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