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- Publication Date: Mar 2013
- Publication Date: Mar 2013
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Publication Date: Mar 2013
This report documents the production of statistically downscaled future climate projections by the Pacific Climate Impacts Consortium (PCIC) for Environment Canada under contract number KM170-12-1236. Section 2 describes the selection of a subset of GCM scenarios for the CMIP5 ensemble based on an objective set of selection criteria. The criteria included hemispheric skill assessment based on the CLIMDEX indices (Sillmann et al. 2013) historical criteria used previously at PCIC (Werner 2011), and refinement based on a modified clustering algorithm (Houle et al. 2012; Katsavounidis et al. 1994). In section 3, results are summarized from an intercomparison of three downscaling techniques based on methods used in a previous intercomparison conducted by PCIC (Bürger et al. 2012a).
- Source Publication: Climatic Change, doi:10.1007/s10584-013-0705-8 Publication Date: Feb 2013
- Source Publication: Journal of Geophysical Research: Atmospheres, doi: 10.1002/jgrd_50203 Publication Date: Feb 2013
- Source Publication: Journal of Climate, doi: 10.1175/JCLI-D-12-00502.1 Publication Date: Feb 2013
- Source Publication: Environmental Science and Policy, Volume 26, February 2013, Pages 75–89, doi:10.1016/j.envsci.2012.07.026. Publication Date: Feb 2013
- Source Publication: Environmental Science and Policy, Volume 26, February 2013, Pages 63–74, doi:10.1016/j.envsci.2012.07.024. Publication Date: Feb 2013
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Publication Date: Jan 2013
This Science Brief shares the results of a recent paper in the journal Climatic Change by Sriver and colleagues. In this paper, the authors examine the component of sea level rise due to thermal expansion and determine that the upper bound of physically plausible sea level rise is higher than once thought.
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Publication Date: Jan 2013
This Science Brief covers a recent paper in the Bulletin of the American Meteorological Society by Barnston and colleagues. In this paper, they show that physics-based models are now better than statistical models at El Niño prediction. The result is important for seasonal weather prediction in BC because El Niño has a strong effect on weather in our region.
- Publication Date: Jan 2013
- Source Publication: Hydrological Processes, doi: 10.1002/hyp.9661 Publication Date: Dec 2012
- Publication Date: Nov 2012
- Publication Date: Nov 2012
- Publication Date: Oct 2012
- Source Publication: Climatic Change, DOI: 10.1007/s10584-012-0551-0 Publication Date: Aug 2012
- Publication Date: Jul 2012
- Publication Date: May 2012
- Publication Date: May 2012
- Publication Date: Apr 2012