Climate Dynamics

, Volume 48, Issue 7–8, pp 2685–2705 | Cite as

Future changes to drought characteristics over the Canadian Prairie Provinces based on NARCCAP multi-RCM ensemble

  • M. B. Masud
  • M. N. Khaliq
  • H. S. Wheater


This study assesses projected changes to drought characteristics in Alberta, Saskatchewan and Manitoba, the prairie provinces of Canada, using a multi-regional climate model (RCM) ensemble available through the North American Regional Climate Change Assessment Program. Simulations considered include those performed with six RCMs driven by National Center for Environmental Prediction reanalysis II for the 1981–2003 period and those driven by four Atmosphere–Ocean General Circulation Models for the 1970–1999 and 2041–2070 periods (i.e. eleven current and the same number of corresponding future period simulations). Drought characteristics are extracted using two drought indices, namely the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI). Regional frequency analysis is used to project changes to selected 20- and 50-year regional return levels of drought characteristics for fifteen homogeneous regions, covering the study area. In addition, multivariate analyses of drought characteristics, derived on the basis of 6-month SPI and SPEI values, are developed using the copula approach for each region. Analysis of multi-RCM ensemble-averaged projected changes to mean and selected return levels of drought characteristics show increases over the southern and south-western parts of the study area. Based on bi- and trivariate joint occurrence probabilities of drought characteristics, the southern regions along with the central regions are found highly drought vulnerable, followed by the southwestern and southeastern regions. Compared to the SPI-based analysis, the results based on SPEI suggest drier conditions over many regions in the future, indicating potential effects of rising temperatures on drought risks. These projections will be useful in the development of appropriate adaptation strategies for the water and agricultural sectors, which play an important role in the economy of the study area.


Drought characteristics Copula Multivariate frequency analysis Multivariate homogeneity testing Regional climate model NARCCAP Canadian Prairie Provinces 



The authors would like to thank the NARCCAP project team for the RCM simulations and Agriculture and Agri-Food Canada and Eva Mekis, from Environment Canada, for providing the observed datasets. The financial support from the Canada Excellence Research Chair in Water Security and School of Environment and Sustainability, University of Saskatchewan, is also acknowledged. Thanks are also due to Fateh Chebana from Institut national de la recherche scientifique (INRS) for his support with the bivariate homogeneity testing, Seth McGinnis from NARCCAP for the computational support in re-gridding model data, and Amir Sadeghian from the Global Institute for Water Security for help with the spatial maps. We sincerely thank two anonymous referees for their very helpful, logical and constructive comments which helped improve the quality of this paper.

Supplementary material

382_2016_3232_MOESM1_ESM.docx (156 kb)
Supplementary material 1 (DOCX 157 kb)


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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Global Institute for Water Security and School of Environment and SustainabilityUniversity of SaskatchewanSaskatoonCanada
  2. 2.Ocean, Coastal and River EngineeringNational Research Council of CanadaOttawaCanada

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