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

Article

Abstract

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.

Keywords

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

Supplementary material

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

References

  1. Armstrong RN, Pomeroy JW, Martz LW (2015) Variability in evaporation across the Canadian Prairie region during drought and non-drought periods. J Hydrol 521:182–195CrossRefGoogle Scholar
  2. Beniston M, Stephenson DB, Christenson OB, Ferro CAT, Frei C, Goyette S, Halsnaes K, Holt T, Jylhä K, Koffi B, Palutikof J, Schöll R, Semmler T, Woth K (2007) Future extreme events in European climate: an exploration of regional climate model projections. Clim Change 81:71–95CrossRefGoogle Scholar
  3. Bonsal BR, Aider R, Gachon P, Lapp S (2012) An assessment of Canadian prairie drought: past, present, and future. Clim Dyn. doi:10.1007/s00382-012-1422-0 Google Scholar
  4. Caya D, Laprise R (1999) A semi-implicit semi-Lagrangian regional climate model: the Canadian RCM. Mon Weather Rev 127:341CrossRefGoogle Scholar
  5. Chebana F, Ouarda TBMJ (2007) Multivariate L-moment homogeneity test. Water Resour Res 43(W08406):1–14Google Scholar
  6. Coles S (2001) An introduction to statistical modeling of extreme values. Springer, LondonCrossRefGoogle Scholar
  7. Collins WD et al (2006) The community climate system model version 3 (CCSM3). J Clim 19:2122–2143CrossRefGoogle Scholar
  8. Diasso U, Abiodun BJ (2015) Drought modes in West Africa and how well CORDEX RCMs simulate them. Theor Appl Climatol. doi:10.1007/s00704-015-1705-6 Google Scholar
  9. Efron B, Tibshirani RJ (1993) An introduction to the bootstrap. Chapman and Hall, New YorkCrossRefGoogle Scholar
  10. Embrechets P, Lindskog F, McNeil AJ (2003) Modelling dependence with copulas and applications to risk management. In: Rachev ST (ed) Handbook of heavy tailed distributions in finance. Elsevier Science, AmsterdamGoogle Scholar
  11. Evans E, Stewart RE, Henson W, Saunders K (2011) On precipitation and virga over three locations during the 1999–2004 Canadian Prairie drought. Atmos Ocean 49(4):366–379CrossRefGoogle Scholar
  12. Flato GM (2005) The third generation coupled global climate model (CGCM3). http://www.ec.gc.ca/ccmac-cccma/default.asp?n=1299529F-1
  13. Flato G, Marotzke J, Abiodun B et al (2013) Evaluation of climate models. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change stocker. Cambridge University Press, CambridgeGoogle Scholar
  14. Ganguli P, Reddy MJ (2013) Evaluation of trends and multivariate frequency analysis of droughts in three meteorological subdivisions of western India. Int J Climatol. doi:10.1002/joc.3742 Google Scholar
  15. Gao Y, Fu JS, Drake JB, Liu Y, Lamarque J-F (2012) Projected changes of extreme weather events in the Eastern United States based on a high-resolution climate modeling system. Environ Res Lett 7:044025CrossRefGoogle Scholar
  16. Gao Y, Leung LR, Lu J, Liu Y, Huang M, Qian Y (2014) Robust spring drying in the southwestern U.S. and seasonal migration of wet/dry patterns in a warmer climate. Geophys Res Lett 41:1745–1751. doi:10.1002/2014GL059562 CrossRefGoogle Scholar
  17. Genest C, Rémillard B, Beaudoin D (2009) Goodness-of-fit tests for copulas: a review and a power study. Insu Math Econ 44:199–213CrossRefGoogle Scholar
  18. GFDL GAMDT (The GFDL Global Model Development Team) (2004) The new GFDL global atmospheric and land model AM2-LM2: evaluation with prescribed SST simulations. J Clim 17:4641–4673CrossRefGoogle Scholar
  19. Giorgi F (2006) Regional climate modeling: status and perspectives. J Phys IV 139:101–118Google Scholar
  20. Gordon C et al (2000) The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Clim Dyn 16:147–168CrossRefGoogle Scholar
  21. Grell GA, Devenyi D (2002) A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys Res Lett 29:1693–1697CrossRefGoogle Scholar
  22. Grell GA, Dudhia J, Stauffer DR (1993) A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note NCAR/TN-398+1AGoogle Scholar
  23. Guttman NB (1998) Comparing the palmer drought index and the standardized precipitation index. J Am Water Resour Assoc 34(1):113–121CrossRefGoogle Scholar
  24. Halwatura D, Lechner AM, Arnold S (2015) Drought severity-duration-frequency curves: a foundation for risk assessment and planning tool for ecosystem establishment in post-mining landscapes. Hydrol Earth Syst Sci 19:1069–1091CrossRefGoogle Scholar
  25. Hargreaves GH, Samani ZA (1982) Estimating potential evapotranspiration. Technical note. J Irrig Drain Eng 108(3):225–300Google Scholar
  26. Hargreaves GH, Samani ZA (1985) Reference crop evapotranspiration from temperature. Appl Eng Agric 1(2):96–99CrossRefGoogle Scholar
  27. Hosking JRM, Wallis JR (1997) Regional frequency analysis. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  28. Huang S, Krysanova V, Hattermann F (2015) Projections of climate change impacts on floods and droughts in Germany using an ensemble of climate change scenarios. Reg Environ Change 15:461–473. doi:10.1007/s10113-014-0606-z CrossRefGoogle Scholar
  29. Hutchinson MF (2004) ANUsplin version 4.3: user guide. The Australian National University, Centre for Resource and Environmental Studies, Canberra, Australia. http://cres.anu.edu.au/outputs/anusplin.php
  30. Jensen ME, Burman RD, Allen RG (eds) (1990) Evapotranspiration and irrigation water requirements. ASCE manual 70. American Society of Civil Engineers, RestonGoogle Scholar
  31. Jeong DI, Sushama L, Khaliq MN (2014) The role of temperature in drought projections over North America. Clim Change 127(2):289–303CrossRefGoogle Scholar
  32. Jones RG, Hassell DC, Hudson D, Wilson SS, Jenkins GJ, Mitchell JFB (2003) Workbook on generating high resolution climate change scenarios using PRECIS. UNDP, New YorkGoogle Scholar
  33. Juang H-M, Hong S-Y, Kanamitsu M (1997) The NCEP regional spectral model: an update. Bull Am Meteorol Soc 78:2125–2143CrossRefGoogle Scholar
  34. Kao S, Govindaraju RS (2010) A copula-based joint deficit index for droughts. J Hydrol 380:121–134CrossRefGoogle Scholar
  35. Kaufman L, Rousseuw PJ (1990) Finding groups in data: an introduction to cluster analysis. Wiley-Interscience, New YorkCrossRefGoogle Scholar
  36. Leung LR, Qian Y, Bian X, Washington WM, Han J, Roads JO (2004) Mid-Century ensemble regional climate change scenarios for the Western United States. Clim Change 62(1):75–113CrossRefGoogle Scholar
  37. Ma M, Song S, Ren L, Jiang S, Song J (2013) Multivariate drought characteristics using trivariate Gaussian and Student t copulas. Hydrol Process 27:1175–1190CrossRefGoogle Scholar
  38. Madadgar S, Moradkhani H (2013) Drought analysis under climate change using copula. J Hydrol Eng 18:746–759CrossRefGoogle Scholar
  39. Masud MB, Khaliq MN, Wheater HS (2015) Analysis of meteorological droughts for the Saskatchewan River Basin using univariate and bivariate approaches. J Hydrol 522:452–466CrossRefGoogle Scholar
  40. Maulé C, Helgalson W, McGinn S, Cutforth H (2006) Estimation of standardized reference evapotranspiration on the Canadian Prairies using simple models with limited weather data. Can Biosyst Eng 48:1.1–1.11Google Scholar
  41. Mavromatis T (2007) Drought index evaluation for assessing future wheat production in Greece. Intl J Climatol 27:911–924CrossRefGoogle Scholar
  42. May W (2008) Potential future changes in the characteristics of daily precipitation in Europe simulated by the HIRHAM regional climate model. Clim Dyn 30:581–603CrossRefGoogle Scholar
  43. McGinn SM (2010) Weather and climate patterns in Canada’s Prairies grassland. In: Shorthouse JD, Floate KD (eds) Arthropods of Canadian grasslands (volume 1): ecology and interactions in grasslands habitats. Biological Survey of Canada, Ottawa, pp 105–119. doi:10.3752/9780968932148.ch5 CrossRefGoogle Scholar
  44. McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. In: Preprints 8th conference on applied climatology. American Meteorological Society, Anaheim, CA, pp 179–184Google Scholar
  45. Mearns LO, Gutowski WJ, Jones R, Leung L-Y, McGinnis S, Nunes AMB, Qian Y (2009) A regional climate change assessment program for North America. EOS Trans Am Geophys Union 90:311–312CrossRefGoogle Scholar
  46. Mearns LO et al (2012) The North American regional climate change assessment program: overview of phase I results. Bull Am Meteor Soc 93:1337–1362. doi:10.1175/BAMS-D-11-00223.1 CrossRefGoogle Scholar
  47. Mekis E, Vincent LA (2011) An overview of the second generation adjusted daily precipitation dataset for trend analysis in Canada. Atmos Ocean 49(2):163–177CrossRefGoogle Scholar
  48. Mladjic B, Sushama L, Khaliq MN, Laprise R, Caya D, Roy R (2011) Canadian RCM projected changes to extreme precipitation characteristics over Canada. J Clim 24:2565–2584CrossRefGoogle Scholar
  49. Mohan S (1991) Intercomparison of evapotranspiration estimates. Hydrol Sci J 36(5):447–461CrossRefGoogle Scholar
  50. Nakicenovic N et al (2000) Special report on emissions scenarios: a special report of working group III of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, UK. http://www.grida.no/climate/ipcc/emission/index.htm
  51. Nelsen RB (2006) An introduction to copulas. Springer, New York, p 272Google Scholar
  52. Nikulin G, Kjellström E, Hansson U, Strandberg G, Ullerstig A (2011) Evaluation and future projections of temperature, precipitation and wind extremes over Europe in an ensemble of regional climate simulations. Tellus Ser A 63(1):41–55. doi:10.1111/j.1600-0870.2010.00466.x CrossRefGoogle Scholar
  53. PaiMazumder D, Sushama L, Laprise R, Khaliq MN, Sauchyn D (2013) Canadian RCM projected changes to short- and long-term drought characteristics over the Canadian Prairies. Intl J Climatol 33:1409–1423CrossRefGoogle Scholar
  54. Pal JS et al (2007) Regional climate modeling for the developing world: the ICTP RegCM3 and RegCNET. Bull Am Meteorol Soc 88:1395–1409CrossRefGoogle Scholar
  55. Poitras V, Sushama L, Seglenieks F, Khaliq MN, Soulis E (2011) Projected changes to streamflow characteristics over Western Canada as simulated by the Canadian RCM. J Hydrometeorol 12:1395–1413CrossRefGoogle Scholar
  56. Pomeroy J, Pietroniro A, Fang X, Shaw D, Armstrong R, Shook K, Comeau L, Toth B, Martz L, Westbrook C (2011) Canadian prairie drought hydrology. In: Stewart R, Lawford R (eds) Drought research initiative, pp 59–62. ISBN No. 978-0-9868749-0-1Google Scholar
  57. Potop V, Možný M, Soukup J (2012) Drought evolution at various time scales in the lowland regions and their impact on vegetable crops in the Czech Republic. Agric For Met 156:121–133CrossRefGoogle Scholar
  58. Rajsekhar D, Mishra AK, Singh VP (2013) Regionalization of drought characteristics using an entropy approach. J Hydrol Eng 18:870–887CrossRefGoogle Scholar
  59. Rao AR, Srinivas VV (2008) Regionalization of watersheds—an approach based on cluster analysis. Springer, BerlinGoogle Scholar
  60. Sadri S, Burn DH (2011) A fuzzy c-means approach for regionalization using a bivariate homogeneity and discordancy approach. J Hydrol 401:231–239CrossRefGoogle Scholar
  61. Savu C, Trede M (2010) Hierarchies of Archimedean copulas. Quant Finance 10(3):295–304CrossRefGoogle Scholar
  62. Serfling R, Xiao P (2007) A contribution to multivariate L-moments: L-commoment matrics. J Multivar Anal 98:1765–1781CrossRefGoogle Scholar
  63. Serinaldi F, Grimaldi S (2007) Fully nested 3-copula: procedure and application on hydrological data. J Hydrol Eng 12(4):420–430CrossRefGoogle Scholar
  64. Serinaldi F, Bonaccorso B, Cancelliere A, Grimaldi S (2009) Probabilistic characterization of drought properties through copulas. Phys Chem Earth 34(10–12):596–605CrossRefGoogle Scholar
  65. Sklar K (1959) Fonctions de repartition ‘a n dimensions et leura marges. Publications de 1’Institut de Statistique de l’Universit´e, Paris 8, pp 229–231Google Scholar
  66. Stagge JH, Tallaksen LM, Gudmundsson L, Van Loon AF, Stahl K (2015) Candidate distributions for climatological drought indices (SPI and SPEI). Int J Climatol 35:4027–4040. doi:10.1002/joc.4267 CrossRefGoogle Scholar
  67. Sushama L, Khaliq N, Laprise R (2010) Dry spell characteristics over Canada in a changing climate as simulated by the Canadian RCM. Global Planet Change 74(1):1–14CrossRefGoogle Scholar
  68. Tebaldi C, Knutti R (2007) The use of the multi-model ensemble in probabilistic climate projections. Philos Trans R Soc A 365:2053–2075CrossRefGoogle Scholar
  69. Torma C, Giorgi F, Coppola E (2015) Added value of regional climate modeling over areas characterized by complex terrain—precipitation over the Alps. J Geophys Res Atmos 120:3957–3972CrossRefGoogle Scholar
  70. Touma D, Ashfaq M, Nayak MA, Kao S-C, Diffenbaugh NS (2015) A multi-model and multi-index evaluation of drought characteristics in the 21st century. J Hydrol 526:196–207CrossRefGoogle Scholar
  71. Vicente-Serrano SM, Beguería S, López-Moreno JI (2010) A multi-scalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J Clim 23(7):1696–1718CrossRefGoogle Scholar
  72. Walpole RE, Myers RH, Myers SL, Ye K (2012) Probability & statistics for engineers & scientists. Prentice Hall, BostonGoogle Scholar
  73. Wandel J, Young G, Smit B (2009) The 2001–2002 drought: vulnerability and adaptation in Alberta’s special areas. Prairie Forum 34(1):211–234Google Scholar
  74. Wang T, Hamann A, Spittlehouse DL, Murdock TQ (2012) ClimateWNA–high-resolution spatial climate data for Western North America. Agric For Met 51:16–29. doi:10.1175/JAMC-D-11-043.1 Google Scholar
  75. Wehner M (2013) Very extreme seasonal precipitation in the NARCCAP ensemble: model performance and projections. Clim Dyn 40:59–80. doi:10.1007/s00382-012-1393-1 CrossRefGoogle Scholar
  76. Wheater HS, Gober P (2013) Water security in the Canadian prairies: science and management challenges. Philos Trans R Soc A. doi:10.1098/rsta.2012.0409 Google Scholar
  77. WMO (2009) Inter-regional workshop in indices and early warning systems for drought (Lincoln, NE, Dec. 2009). World Meteorological Organization, GenevaGoogle Scholar
  78. Wong G, Lambert MF, Leonard M, Metcalfe AV (2010) Drought analysis using trivariate copulas conditional on climate states. J Hydrol Eng 15(2):129–141CrossRefGoogle Scholar

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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