Evaluation of regional climate model simulations versus gridded observed and regional reanalysis products using a combined weighting scheme

Simple item page
dc.contributor.authorEum, Hyung-Il
dc.contributor.authorGachon, Philippe
dc.contributor.authorLaprise, René
dc.contributor.authorOuarda, Taha
dc.date.accessioned2013-08-09T14:29:13Z
dc.date.available2013-08-09T14:29:13Z
dc.date.copyright2011
dc.date.issued2011
dc.description.abstractThis study presents a combined weighting scheme which contains five attributes that reflect accuracy of climate data, i.e. short-term (daily), mid-term (annual), and long-term (decadal) timescales, as well as spatial pattern, and extreme values, as simulated from Regional Climate Models (RCMs) with respect to observed and regional reanalysis products. Southern areas of Quebec and Ontario provinces in Canada are used for the study area. Three series of simulation from two different versions of the Canadian RCM (CRCM4.1.1, and CRCM4.2.3) are employed over 23 years from 1979 to 2001, driven by both NCEP and ERA40 global reanalysis products. One series of regional reanalysis dataset (i.e. NARR) over North America is also used as reference for comparison and validation purpose, as well as gridded historical observed daily data of precipitation and temperatures, both series have been beforehand interpolated on the CRCM 45-km grid resolution. Monthly weighting factors are calculated and then combined into four seasons to reflect seasonal variability of climate data accuracy. In addition, this study generates weight averaged references (WARs) with different weighting factors and ensemble size as new reference climate data set. The simulation results indicate that the NARR is in general superior to the CRCM simulated precipitation values, but the CRCM4.1.1 provides the highest weighting factors during the winter season. For minimum and maximum temperature, both the CRCM4.1.1 and the NARR products provide the highest weighting factors, respectively. The NARR provides more accurate short- and mid-term climate data, but the two versions of the CRCM provide more precise long-term data, spatial pattern and extreme events. Or study confirms also that the global reanalysis data (i.e. NCEP vs. ERA40) used as boundary conditions in the CRCM runs has non-negligible effects on the accuracy of CRCM simulated precipitation and temperature values. In addition, this study demonstrates that the proposed weighting factors reflect well all five attributes and the performances of weighted averaged references are better than that of the best single model. This study also found that the improvement of WARs’ performance is due to the reliability (accuracy) of RCMs rather than the ensemble size.en
dc.formatTexten
dc.format.extent1 digital file (p. 1433-1457)en
dc.format.mimetypeapplication/pdf
dc.identifier.citationEum, H., Gachon, P., Laprise, R., & Ouarda, T. (2012). Evaluation of regional climate model simulations versus gridded observed and regional reanalysis products using a combined weighting scheme. Climate Dynamics, 38(7-8), 1433-1457.doi:10.1007/s00382-011-1149-3en
dc.identifier.urihttp://hdl.handle.net/10625/51491
dc.language.isoen
dc.publisherSpringeren
dc.subjectENSEMBLE SIMULATIONSen
dc.subjectREGIONAL CLIMATE MODELLINGen
dc.subjectWEIGHTING SCHEMEen
dc.subjectCRITERIA OF EVALUATIONen
dc.subjectCLIMATE MODELLINGen
dc.subjectCANADA--QUEBECen
dc.subjectCANADA--ONTARIOen
dc.subjectDATA COLLECTIONen
dc.titleEvaluation of regional climate model simulations versus gridded observed and regional reanalysis products using a combined weighting schemeen
dc.typeJournal Article (peer-reviewed)en
idrc.copyright.holderSpringer-Verlag
idrc.dspace.accessIDRC Onlyen
idrc.noaccessDue to copyright restrictions the full text of this research output is not available in the IDRC Digital Library or by request from the IDRC Library. / Compte tenu des restrictions relatives au droit d'auteur, le texte intégral de cet extrant de recherche n'est pas accessible dans la Bibliothèque numérique du CRDI, et il n'est pas possible d'en faire la demande à la Bibliothéque du CRDI.en
idrc.project.componentnumber106372013
idrc.project.number106372
idrc.project.titleInternational Research Initiative on Adaptation to Climate Changeen
idrc.recordsserver.bcsnumberIC01-3527-43
idrc.rims.adhocgroupIDRC SUPPORTEDen

Files

Collections

IDRC Research Results / Résultats de recherches du CRDI
2010-2019 / Années 2010-2019
Impacts of Climate Change on Water Resources / Effets des changements climatiques sur les ressources en eau