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Future changes in intense precipitation over Canada assessed from multi‐model NARCCAP ensemble simulations
Author(s) -
Mailhot Alain,
Beauregard Ian,
Talbot Guillaume,
Caya Daniel,
Biner Sébastien
Publication year - 2011
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.2343
Subject(s) - climatology , gcm transcription factors , precipitation , environmental science , climate model , climate change , general circulation model , geography , meteorology , geology , oceanography
Annual maxima (AM) series of precipitation from 15 simulations of the North American Regional Climate Change Assessment Program (NARCCAP) have been analysed for gridpoints covering Canada and the northern part of United States. The NARCCAP Regional Climate Models' simulations have been classified into the following three groups based on the driving data used at the RCMs boundaries: (1) NCEP (6 simulations); (2) GCM‐historical (5 simulations); and (3) GCM‐future (4 simulations). Historical simulations are representative of the 1968‐2000 period while future simulations cover the 2041‐2070 period. A reference common grid has been defined to ease the comparison. Multi‐model average intensities of AM precipitation of 6‐, 12‐, 24‐, 72‐, and 120‐h for 2‐, 5‐, 10‐, and 20‐year return periods have been estimated for each simulation group. Comparison of results from NCEP and GCM‐historical groups shows good overall agreement in terms of spatial distribution of AM intensities. Comparison of GCM‐future and GCM‐historical groups clearly shows widespread increases with median relative changes across all gridpoints ranging from 12 to 18% depending on durations and return periods. Fourteen Canadian climatic regions have been used to define regional projections and average regional changes in intense precipitation have been estimated for each duration and return period. Uncertainties on these regional values, resulting from inter‐model variability, were also estimated. Results suggest that inland regions (e.g. Ontario and more specifically Southern Ontario, the Prairies, Southern Quebec) will experience the largest relative increases in AM intensities while coastal regions (e.g. Atlantic Provinces and the West Coast) will experience the smallest ones. These projections are most valuable inputs for the assessment of future impact of climate change on water infrastructures and the development of more efficient adaptation strategies. Copyright © 2011 Royal Meteorological Society