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

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.

[1]  Robert Tibshirani,et al.  An Introduction to the Bootstrap , 1994 .

[2]  F. Giorgi.  Regional climate modeling: Status and perspectives , 2006 .

[3]  Hamid Moradkhani,et al.  Drought Analysis under Climate Change Using Copula , 2013 .

[4]  P. Gachon,et al.  An assessment of Canadian prairie drought: past, present, and future , 2013, Climate Dynamics.

[5]  N. Guttman.  COMPARING THE PALMER DROUGHT INDEX AND THE STANDARDIZED PRECIPITATION INDEX 1 , 1998 .

[6]  Patricia Gober,et al.  Water security in the Canadian Prairies: science and management challenges , 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[7]  C. Savu,et al.  Hierarchies of Archimedean copulas , 2010 .

[8]  J. R. Wallis,et al.  Regional Frequency Analysis: An Approach Based on L-Moments , 1997 .

[9]  W. Collins,et al.  Evaluation of climate models , 2013 .

[10]  Lukas Gudmundsson,et al.  Candidate Distributions for Climatological Drought Indices (SPI and SPEI) , 2013 .

[11]  Richard G. Jones,et al.  A Regional Climate Change Assessment Program for North America , 2009 .

[12]  Shanhu Jiang,et al.  Multivariate drought characteristics using trivariate Gaussian and Student t copulas , 2013 .

[13]  George H. Hargreaves,et al.  Reference Crop Evapotranspiration from Temperature , 1985 .

[14]  J. Rueedi,et al.  Constraining the age distribution of highly mixed groundwater using 39Ar: A multiple environmental tracer (3H/3He, 85Kr, 39Ar, and 14C) study in the semiconfined Fontainebleau Sands Aquifer (France) , 2007 .

[15]  S. Klein,et al.  The new GFDL global atmosphere and land model AM2-LM2: Evaluation with prescribed SST simulations , 2004 .

[16]  Alexei G. Sankovski,et al.  Special report on emissions scenarios : a special report of Working group III of the Intergovernmental Panel on Climate Change , 2000 .

[17]  Sergio M. Vicente-Serrano,et al.  A multi-scalar drought index sensitive to global warming: The Standardized Precipitation Evapotranspiration Index - SPEI , 2009 .

[18]  W. May.  Potential future changes in the characteristics of daily precipitation in Europe simulated by the HIRHAM regional climate model , 2008 .

[19]  Reto Knutti,et al.  The use of the multi-model ensemble in probabilistic climate projections , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[20]  T. Mavromatis.  Drought index evaluation for assessing future wheat production in Greece , 2007 .

[21]  H. Cutforth,et al.  Estimation of standardized reference evapotranspiration on the Canadian Prairies using simple models with limited weather data , 2006 .

[22]  Y. Qian,et al.  Robust spring drying in the southwestern U.S. and seasonal migration of wet/dry patterns in a warmer climate , 2014 .

[23]  M. Khaliq,et al.  Projected Changes to Streamflow Characteristics over Western Canada as Simulated by the Canadian RCM , 2011 .

[24]  Z. Samani,et al.  Estimating Potential Evapotranspiration , 1982 .

[25]  M. Khaliq,et al.  Analysis of meteorological droughts for the Saskatchewan River Basin using univariate and bivariate approaches , 2015 .

[26]  Vijay P. Singh,et al.  Regionalization of Drought Characteristics Using an Entropy Approach , 2013 .

[27]  G. Grell,et al.  A generalized approach to parameterizing convection combining ensemble and data assimilation techniques , 2002 .

[28]  Raquel V. Francisco,et al.  Regional Climate Modeling for the Developing World: The ICTP RegCM3 and RegCNET , 2007 .

[29]  Ali S. Hadi,et al.  Finding Groups in Data: An Introduction to Chster Analysis , 1991 .

[30]  Martin F. Lambert,et al.  Drought Analysis Using Trivariate Copulas Conditional on Climatic States , 2010 .

[31]  R. Nelsen.  An Introduction to Copulas , 1998 .

[32]  Song-You Hong,et al.  The NCEP Regional Spectral Model: An Update , 1997 .

[33]  W. Collins,et al.  The Community Climate System Model Version 3 (CCSM3) , 2006 .

[34]  T. Ouarda,et al.  Multivariate L‐moment homogeneity test , 2007 .

[35]  R. Serfling,et al.  A contribution to multivariate L-moments: L-comoment matrices , 2007 .

[36]  Josef Soukup,et al.  Drought evolution at various time scales in the lowland regions and their impact on vegetable crops in the Czech Republic , 2012 .

[37]  S. McGinn,et al.  Weather and Climate Patterns in Canada’s Prairie Grasslands , 2010 .

[38]  Francesco Serinaldi,et al.  Probabilistic characterization of drought properties through copulas , 2009 .

[39]  A. Ramachandra Rao,et al.  Regionalization of Watersheds , 2008 .

[40]  S. Mohan.  Intercomparison of evapotranspiration estimates , 1991 .

[41]  B. Rémillard,et al.  Goodness-of-fit tests for copulas: A review and a power study , 2006 .

[42]  Éva Mekis,et al.  An Overview of the Second Generation Adjusted Daily Precipitation Dataset for Trend Analysis in Canada , 2011, Data, Models and Analysis.

[43]  B. Abiodun,et al.  Drought modes in West Africa and how well CORDEX RCMs simulate them , 2017, Theoretical and Applied Climatology.

[44]  R. Allen,et al.  Evapotranspiration and Irrigation Water Requirements , 1990 .

[45]  M. J. Reddy,et al.  Evaluation of trends and multivariate frequency analysis of droughts in three meteorological subdivisions of western India , 2014 .

[46]  Francesco Serinaldi,et al.  Fully Nested 3-Copula: Procedure and Application on Hydrological Data , 2007 .

[47]  S. Rachev.  Handbook of heavy tailed distributions in finance , 2003 .

[48]  Eric P. Smith,et al.  An Introduction to Statistical Modeling of Extreme Values , 2002, Technometrics.

[49]  René Laprise,et al.  A Semi-Implicit Semi-Lagrangian Regional Climate Model: The Canadian RCM , 1999 .

[50]  Ulf Hansson,et al.  Evaluation and future projections of temperature, precipitation and wind extremes over Europe in an ensemble of regional climate simulations , 2011 .

[51]  Rao S. Govindaraju,et al.  A copula-based joint deficit index for droughts. , 2010 .

[52]  Valentina Krysanova,et al.  Projections of climate change impacts on floods and droughts in Germany using an ensemble of climate change scenarios , 2015, Regional Environmental Change.

[53]  R. H. Myers,et al.  STAT 319 : Probability & Statistics for Engineers & Scientists Term 152 ( 1 ) Final Exam Wednesday 11 / 05 / 2016 8 : 00 – 10 : 30 AM , 2016 .

[54]  R. Stewart,et al.  On Precipitation and Virga over Three Locations during the 1999–2004 Canadian Prairie Drought , 2011 .

[55]  F. Giorgi,et al.  Added value of regional climate modeling over areas characterized by complex terrain—Precipitation over the Alps , 2015 .

[56]  Yang Liu,et al.  Projected changes of extreme weather events in the eastern United States based on a high resolution climate modeling system , 2012 .

[57]  Tongli Wang,et al.  ClimateWNA—High-Resolution Spatial Climate Data for Western North America , 2012 .

[58]  M. Khaliq,et al.  Canadian RCM Projected Changes to Extreme Precipitation Characteristics over Canada , 2011 .

[59]  T. McKee,et al.  THE RELATIONSHIP OF DROUGHT FREQUENCY AND DURATION TO TIME SCALES , 1993 .

[60]  John F. B. Mitchell,et al.  Workbook on generating high resolution climate change scenarios using PRECIS , 2003 .

[61]  D. Stephenson,et al.  Future extreme events in European climate: an exploration of regional climate model projections , 2007 .

[62]  Lawrence W. Martz,et al.  Variability in evaporation across the Canadian Prairie region during drought and non-drought periods , 2015 .

[63]  Richard A. L. Jones,et al.  The North American Regional Climate Change Assessment Program: Overview of Phase I Results , 2012 .

[64]  R. Laprise,et al.  Dry spell characteristics over Canada in a changing climate as simulated by the Canadian RCM. , 2010 .

[65]  M. Sklar.  Fonctions de repartition a n dimensions et leurs marges , 1959 .

[66]  P. Embrechts,et al.  Chapter 8 – Modelling Dependence with Copulas and Applications to Risk Management , 2003 .

[67]  G. Grell,et al.  A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5) , 1994 .

[68]  Shih-Chieh Kao,et al.  A multi-model and multi-index evaluation of drought characteristics in the 21st century , 2015 .

[69]  L. Sushama,et al.  The role of temperature in drought projections over North America , 2014, Climatic Change.

[70]  Alex M. Lechner,et al.  Drought severity–duration–frequency curves: a foundation for risk assessment and planning tool for ecosystem establishment in post-mining landscapes , 2015 .

[71]  M. Khaliq,et al.  Canadian RCM projected changes to short‐ and long‐term drought characteristics over the Canadian Prairies , 2013 .

[72]  Donald H. Burn,et al.  A Fuzzy C-Means approach for regionalization using a bivariate homogeneity and discordancy approach , 2011 .

[73]  J. R. Wallis,et al.  Regional frequency analysis , 1997 .

[74]  M. Wehner.  Very extreme seasonal precipitation in the NARCCAP ensemble: model performance and projections , 2012, Climate Dynamics.

[75]  Xindi Bian,et al.  Mid-Century Ensemble Regional Climate Change Scenarios for the Western United States , 2004 .

[76]  John F. B. Mitchell,et al.  The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments , 2000 .