Skip to main content

Advertisement

Log in

Analysis of historical drought conditions based on SPI and SPEI at various timescales in the South Saskatchewan River Watershed, Alberta, Canada

  • Research
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

Drought is one of the most challenging extreme weather events which can cause catastrophic and long-lasting impacts on water availability, environment, agriculture, economies, and societies. This study investigates the historical changes of drought conditions in Southern Alberta, Canada (and the South Saskatchewan River Watershed (SSRW) specifically), which is dominated by agricultural activity, or otherwise related to environmental variables, and has experienced severe droughts in the past. We studied interdecadal drought variation at different severity levels as well as long-term monotonic trends and occurrence rates at a high resolution in the SSRW in the past four decades. We employed SPI (standardized precipitation index) and SPEI (standardized precipitation-evapotranspiration index) as drought indicators at 1-, 3-, 6-, 9-, and 12-month timescales, to explore significant changes during 1980–2018. The indices were computed using a high-resolution Daymet-gridded dataset for the SSRW. Constructed drought occurrence maps revealed that, on average, this region experienced drought in nearly half of the analysis period. Comparing the past four decades revealed that the drought-affected area increased during 2001–2010 and that the areas with severe or extreme droughts increased significantly over the last two decades (compared to 1980–2000). The results show decreasing trends of drought in some areas, mainly in the headwaters of the Bow River in the Rocky Mountains, and increasing trends in larger areas, mostly downstream. The area with a significant trend (increasing or decreasing) was greater with longer timescales of drought indices. This indicates the areas in the vicinity where meteorological drought was increasing (decreasing), showing the same pattern of change at higher timescales, implying increased (decreased) moisture availability that can imply hydrological drought. Comparing the two drought indices suggests significant differences in some geographical areas and generally better performance of SPEI in detecting dry conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Data availability

The datasets generated during and/or analyzed during the current study are not publicly available because they belong to the University of Lethbridge and partnering agencies but are available from the corresponding author on reasonable request.

References

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration-guidelines for computing crop water requirements-FAO irrigation and drainage paper 56. FAO, Rome, 300(9), D05109. Chapter 2

  • Beguería S, Vicente-Serrano SM, Reig F, Latorre B (2014) Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring. Int J Climatol 34(10):3001–3023

    Google Scholar 

  • Bonsal BR, Wheaton EE, Meinert A, Siemens E (2011a) Characterizing the surface features of the 1999–2005 Canadian prairie drought in relation to previous severe twentieth century events. Atmos-Ocean 49(4):320–338

    Google Scholar 

  • Bonsal BR, Wheaton EE, Chipanshi AC, Lin C, Sauchyn DJ, Wen L (2011b) Drought research in Canada: a review. Atmos-Ocean 49(4):303–319

    Google Scholar 

  • Bonsal BR, Aider R, Gachon P, Lapp S (2013) An assessment of Canadian prairie drought: past, present, and future. Clim Dyn 41:501–516

    Google Scholar 

  • Bonsal BR, Cuell C, Wheaton E, Sauchyn DJ, Barrow E (2017) An assessment of historical and projected future hydro-climatic variability and extremes over southern watersheds in the Canadian Prairies. Int J Climatol 37(10):3934–3948

    Google Scholar 

  • Bonsal B, Liu Z, Wheaton E, Stewart R (2020) Historical and projected changes to the stages and other characteristics of severe Canadian Prairie droughts. Water 12(12):3370

    Google Scholar 

  • Chipanshi AC, Findlater KM, Hadwen T, O’Brien EG (2006) Analysis of consecutive droughts on the Canadian Prairies. Clim Res 30(3):175–187

    Google Scholar 

  • Dai A, Trenberth KE, Qian T (2004) A global dataset of Palmer drought severity index for 1870–2002: relationship with soil moisture and effects of surface warming. J Hydrometeorol 5(6):1117–1130

    Google Scholar 

  • Dierauer JR, Allen DM, Whitfield PH (2019) Snow drought risk and susceptibility in the western United States and southwestern Canada. Water Resour Res 55(4):3076–3091

    Google Scholar 

  • Droogers P, Allen RG (2002) Estimating reference evapotranspiration under inaccurate data conditions. Irrig Drain Syst 16:33–45

    Google Scholar 

  • Eslamian S, Ostad-Ali-Askari K, Singh VP, Dalezios NR, Ghane M, Yihdego Y, Matouq M (2017) A review of drought indices. Int J Constr Res Civ Eng 3:48–66

    Google Scholar 

  • Grinder B, Paterson B (2010) South Saskatchewan River Basin in Alberta water supply study: summary. Department of Agriculture and Rural Development. SSRB Water Supply Study Steering Committee, Government of Alberta

  • Gurrapu S, Chipanshi A, Sauchyn D, Howard A (2014) Comparison of the SPI and SPEI on predicting drought conditions and streamflow in the Canadian prairies. In Proceedings of the 28th Conference on Hydrology (pp. 2–6). American Meteorological Society Atlanta, USA

  • Hargreaves GH (1994) Defining and using reference evapotranspiration. J Irrig Drain Eng 120(6):1132–1139

    Google Scholar 

  • Hargreaves GH, Allen RG (2003) History and evaluation of Hargreaves evapotranspiration equation. J Irrig Drain Eng 129(1):53–63

    Google Scholar 

  • Hargreaves GH, Samani ZA (1985) Reference crop evapotranspiration from temperature. Appl Eng Agric 1(2):96–99

    Google Scholar 

  • Hong X, Guo S, Xiong L, Liu Z (2015) Spatial and temporal analysis of drought using entropy-based standardized precipitation index: a case study in Poyang Lake basin, China. Theor Appl Clim 122:543–556

    Google Scholar 

  • Kchouk S, Melsen LA, Walker DW, van Oel PR (2021) A review of drought indices: predominance of drivers over impacts and the importance of local context. Nat Hazards Earth Syst Sci Discuss 1–28. https://doi.org/10.5194/nhess-2021-152

  • Khandekar ML (2004) Canadian prairie drought, a climatological assessment. Alberta Environment, Edmonton, pp 37

  • Li X, He B, Quan X, Liao Z, Bai X (2015) Use of the standardized precipitation evapotranspiration index (SPEI) to characterize the drying trend in Southwest China from 1982–2012. Remote Sens 7(8):10917–10937

    Google Scholar 

  • Li W, Duan L, Wang W, Wu Y, Liu T, Quan Q, Chen X, Yin H, Zhou Q (2021) Spatiotemporal characteristics of drought in a semi-arid grassland over the past 56 years based on the standardized precipitation index. Meteorol Atmos Phys 133:41–54

    Google Scholar 

  • Masson-Delmotte V, Zhai P, Pirani A, Connors SL, Péan C, Berger S, Caud N, Chen Y, Goldfarb L, Gomis MI, Huang M, Leitzell K, Lonnoy E, Matthews JBR, Maycock TK, Waterfield T, Yelekçi O, Yu R, Zhou B (eds) (2021) Climate change 2021: the physical science basis. Contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change, 2. Cambridge University Press, Cambridge, 2391 pp. https://doi.org/10.1017/9781009157896

  • Masud MB, Khaliq MN, Wheater HS (2015) Analysis of meteorological droughts for the Saskatchewan River Basin using univariate and bivariate approaches. J Hydrol 522:452–466

    Google Scholar 

  • McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology 17(22):179–183

  • Mehdipoor H, Zurita-Milla R, Izquierdo-Verdiguier E, Betancourt JL (2018) Influence of source and scale of gridded temperature data on modelled spring onset patterns in the conterminous United States. Int J Climatol 38(14):5430–5440

    Google Scholar 

  • Mishra AK, Singh VP (2010) A review of drought concepts. J Hydrol 391(1–2):202–216

  • Mourtzinis S, Edreira JIR, Conley SP, Grassini P (2017) From grid to field: assessing quality of gridded weather data for agricultural applications. Eur J Agron 82:163–172

    Google Scholar 

  • Mousavi R, Sabziparvar AA, Marofi S, Ebrahimi Pak NA, Heydari M (2015) Calibration of the Angström-Prescott solar radiation model for accurate estimation of reference evapotranspiration in the absence of observed solar radiation. Theor Appl Climatol 119:43–54

    Google Scholar 

  • Mousavi RS, Marofi S, Gupta HV, Ahmadizadeh M (2019) Statistical analysis of discharge fluctuations in a semiarid basin using effective atmospheric teleconnections: Dez River Basin in Iran. J Hydrol Eng 24(7):05019012

    Google Scholar 

  • O’Brien EG, J Stroich (2005) Concept of defining drought in Canada: an evaluation of drought indicators for application in the agricultural landscapes of Canada. National Land and Water Information Service (NLWIS), Agriculture and Agri-Food Canada (AAFC). 118 pp

  • Pei Z, Fang S, Wang L, Yang W (2020) Comparative analysis of drought indicated by the SPI and SPEI at various timescales in Inner Mongolia, China. Water 12(7):1925

    Google Scholar 

  • Penman HL (1948) Natural evaporation from open water, bare soil and grass. Proc R Soc Lond A Math Phy 193(1032):120–145

  • R Core Team (2020) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/

  • Sabziparvar AA, Mousavi R, Marofi S, Ebrahimipak NA, Heidari M (2013) An improved estimation of the Angstrom-Prescott radiation coefficients for the FAO56 Penman-Monteith evapotranspiration method. Water Resour Manag 27:2839–2854

    Google Scholar 

  • Shabbar A, Skinner W (2004) Summer drought patterns in Canada and the relationship to global sea surface temperatures. J Clim 17(14):2866–2880

    Google Scholar 

  • Sheffield J, Wood EF, Roderick ML (2012) Little change in global drought over the past 60 years. Nature 491(7424):435–438

    Google Scholar 

  • Spinoni J, Naumann G, Carrao H, Barbosa P, Vogt J (2014) World drought frequency, duration, and severity for 1951–2010. Int J Clim 34:2792–2804

    Google Scholar 

  • Spinoni J, Vogt JV, Naumann G, Barbosa P, Dosio A (2018) Will drought events become more frequent and severe in Europe? Int J Clim 38(4):1718–1736

    Google Scholar 

  • Spinoni J, Barbosa P, De Jager A, McCormick N, Naumann G, Vogt JV et al (2019) A new global database of meteorological drought events from 1951 to 2016. J Hydrol Reg Stud 22:100593

    Google Scholar 

  • Stewart RE, Bonsal BR, Harder P, Henson W, Kochtubajda B (2012) Cold and hot periods associated with dry conditions over the Canadian prairies. Atmos-Ocean 50(3):364–372

    Google Scholar 

  • Sun L, Mitchell SW, Davidson A (2012) Multiple drought indices for agricultural drought risk assessment on the Canadian prairies. Int J Climatol 32(11):1628–1639

    Google Scholar 

  • Svoboda MD, Fuchs BA (2016) Handbook of drought indicators and indices (Vol. 2). Geneva, Switzerland: World Meteorological Organization

  • Tan C, Yang J, Li M (2015) Temporal-spatial variation of drought indicated by SPI and SPEI in Ningxia Hui Autonomous Region, China. Atmosphere 6(10):1399–1421

    Google Scholar 

  • Tefera AS, Ayoade JO, Bello NJ (2019) Comparative analyses of SPI and SPEI as drought assessment tools in Tigray Region, Northern Ethiopia. SN Appl Sci 1(10):1–14

    Google Scholar 

  • Thornthwaite CW (1948) An approach toward a rational classification of climate. Geogr Rev 38(1):55–94

    Google Scholar 

  • Thornton PE, Running SW, White MA (1997) Generating surfaces of daily meteorological variables over large regions of complex terrain. J Hydrol 190(3–4):214–251

  • Thornton PE, Thornton MM, Mayer BW, Wei Y, Devarakonda R, Vose RS, Cook RB (2017) Daymet: daily surface weather data on a 1-km grid for North America, Version 3 ORNL DAAC Oak Ridge Tenn

  • Tran TV, Tran DX, Myint SW, Latorre-Carmona P, Ho DD, Tran PH, Dao HN (2019) Assessing spatiotemporal drought dynamics and its related environmental issues in the Mekong River delta. Remote Sens 11:2742

    Google Scholar 

  • Vicente-Serrano SM, Begueria S, Lopez-Moreno JI (2010) A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J Clim 23:1696–1718

    Google Scholar 

  • Walton D, Hall A (2018) An assessment of high-resolution gridded temperature datasets over California. J Clim 31(10):3789–3810

    Google Scholar 

  • Wang Q, Zeng J, Qi J, Zhang X, Zeng Y, Shui W, Xu Z, Zhang R, Wu X, Cong J (2021) A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018. Earth Syst Sci Data 13(2):331–341

    Google Scholar 

  • Wheater H, Gober P (2013) Water security in the Canadian Prairies: science and management challenges. Philos Transact A Math Phys Eng Sci 371(2002):20120409

    Google Scholar 

  • Wheaton E, Kulshreshtha S, Wittrock V, Koshida G (2008) Dry times: hard lessons from the Canadian drought of 2001 and 2002. Can Geogr 52(2):241–262

  • Yang M, Yan D, Yu Y, Yang Z (2016) SPEI-based spatiotemporal analysis of drought in Haihe River basin from 1961 to 2010. Adv Meteorol 2016:1–10

    Google Scholar 

  • Yang Y, Gan TY, Tan X (2020) Spatiotemporal changes of drought characteristics and their dynamic drivers in Canada. Atmos Res 232:104695

    Google Scholar 

  • Zargar A, Sadiq R, Naser B, Khan FI (2011) A review of drought indices. Environ Rev 19(NA):333–349

  • Zhang A, Jia G (2013) Monitoring meteorological drought in semiarid regions using multi-sensor microwave remote sensing data. Remote Sens Environ 134:12–23

    Google Scholar 

  • Zhang Q, Qi T, Singh VP, Chen YD, Xiao M (2015) Regional frequency analysis of droughts in China: a multivariate perspective. Water Resour Manag 29:1767–1787

    Google Scholar 

Download references

Acknowledgements

The authors would like to express their sincere thanks to the editor of the journal and two anonymous reviewers whose comments helped improving this manuscript substantially.

Funding

This research received much appreciated financial support through funds from the University of Lethbridge, Siksika SRDL Business Group, Old Sun Community College, the Alberta Real Estate Foundation, the Government of Canada and the Government of Alberta through the Canadian Agricultural Partnership, and the MITACS National R&D Consortium (Funding Ref. No. IT28955).

Author information

Authors and Affiliations

Authors

Contributions

Roya Mousavi wrote the draft of the manuscript and prepared all the tables and figures. All the authors were involved in the design of the methods and reviewed the manuscript.

Corresponding author

Correspondence to James Byrne.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 1130 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mousavi, R., Johnson, D., Kroebel, R. et al. Analysis of historical drought conditions based on SPI and SPEI at various timescales in the South Saskatchewan River Watershed, Alberta, Canada. Theor Appl Climatol 153, 873–887 (2023). https://doi.org/10.1007/s00704-023-04495-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-023-04495-0

Navigation