Abstract
As the capital city of Canada, Ottawa has been experiencing significant impacts of global climate change. How to adapt to future climate change is one of the biggest concerns in the city’s built and natural systems. It thus requires a comprehensive understanding of possible changes in the local climate of Ottawa, which can hardly be reflected in the coarse outputs of Global Climate Models (GCMs). Therefore, a stepwise clustered downscaling (SCD) model is employed in this study to help investigate the plausible changes in daily maximum, minimum, and mean temperatures in Ottawa. Outputs from multiple GCMs under the Representative Concentration Pathways (RCPs) are used as inputs to drive the SCD model in order to develop downscaled climate projections. The performance of SCD model is evaluated by comparing the model simulations to the observations (R2 > 0.87) over the historical periods. Future temperature projections and their likely temporal trends throughout this century are analyzed in detail to explore the regional variations of global warming in Ottawa, thus to provide scientific basis for developing appropriate adaptation strategies at different management levels. The results suggest that the City of Ottawa is likely to expect significant increasing trends in temperatures (i.e., 0.18–0.38 °C per decade in maximum temperature, 0.16–0.31 °C per decade in minimum temperature, and 0.17–0.34 °C per decade in mean temperature under RCP4.5; 0.46–0.54 °C per decade in maximum temperature, 0.37–0.45 °C per decade in minimum temperature, and 0.42–0.50 °C per decade in mean temperature under RCP8.5) throughout this century.
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References
Adger WN, Barnett J, Brown K, Marshall N, O’brien K (2013) Cultural dimensions of climate change impacts and adaptation. Nat Clim Change 3:112–117
Ayar PV, Vrac M, Bastin S, Carreau J, Deque M, Gallardo C (2016) Intercomparison of statistical and dynamical downscaling models under the EURO- and MED-CORDEX initiative framework: present climate evaluations. Clim Dyn 46:1301–1329
Briner JP, McKay NP, Axford Y, Bennike O, Bradley RS, de Vernal A, Fisher D, Francus P, Fréchette B, Gajewski K (2016) Holocene climate change in Arctic Canada and Greenland. Quatern Sci Rev 147:340–364
Calzadilla A, Rehdanz K, Betts R, Falloon P, Wiltshire A, Tol RS (2013) Climate change impacts on global agriculture. Clim Change 120:357–374
Cherry JE, Knapp C, Trainor S, Ray AJ, Tedesche M, Walker S (2017) Planning for climate change impacts on hydropower in the Far North. Hydrol Earth Syst Sci 21:133–151
City of Ottawa (2014) Air quality and climate change management plan (AQCCMP). http://app05.ottawa.ca/sirepub/cache/2/ruc1m0bdzfkhbin33d0dgszd/19338206192017021100223.PDF. Accessed 10 Apr 2017
City of Ottawa (2017) Statistics. http://ottawa.ca/en/city-hall/get-know-your-city/statistics-and-economic-profile/statistics. Accessed 10 Apr 2017
Delworth TL, Zeng F (2014) Regional rainfall decline in Australia attributed to anthropogenic greenhouse gases and ozone levels. Nat Geosci 7:583–587
Deser C, Knutti R, Solomon S, Phillips AS (2012a) Communication of the role of natural variability in future North American climate. Nat Clim Change 2:775–779
Deser C, Phillips A, Bourdette V, Teng HY (2012b) Uncertainty in climate change projections: the role of internal variability. Clim Dyn 38 (3–4):527–546
Duhan D, Pandey A (2015) Statistical downscaling of temperature using three techniques in the Tons River basin in Central India. Theor Appl Climatol 121(3–4):605–622
Fan L, Chen D, Fu C, Yan Z (2013) Statistical downscaling of summer temperature extremes in northern China. Adv Atmos Sci 30:1085
Fan YR, Huang W, Huang GH, Li Z, Li YP, Wang XQ, Cheng GH, Jin L (2015) A stepwise-cluster forecasting approach for monthly streamflows based on climate teleconnections. Stoch Environ Res Risk Assess 29:1557–1569
Fan YR, Huang GH, Li YP, Wang XQ, Li Z (2016) Probabilistic prediction for monthly streamflow through coupling stepwise cluster analysis and quantile regression methods. Water Resour Manag 30:5313–5331
Government of Canada (2015) Past weather and climate. http://climate.weather.gc.ca/historical_data/search_historic_data_e.html. Accessed 2 Dec 2017
Government of Ontario (2016) Ontario’s five-year climate change action plan 2016–2020. http://www.applications.ene.gov.on.ca/ccap/products/CCAP_ENGLISH.pdf. Accessed 2 Dec 2017
Grimm NB, Groffman P, Staudinger M, Tallis H (2016) Climate change impacts on ecosystems and ecosystem services in the United States: process and prospects for sustained assessment. Clim Change 135:97–109
Hawkins E, Sutton R (2009) The Potential to Narrow Uncertainty in Regional Climate Predictions. Bull Am Meteorol Soc 90(8):1095–1108
Hawkins E, Sutton R (2011) The potential to narrow uncertainty in projections of regional precipitation change. Clim Dyn 37:407–418
Huang GH (1992) A stepwise cluster-analysis method for predicting air-quality in an urban-environment. Atmos Environ B Urb 26:349–357
Huang GH, Huang YF, Wang GQ, Xiao HN (2006) Development of a forecasting system for supporting remediation design and process control based on NAPL-biodegradation simulation and stepwise-cluster analysis. Water Resour Res 42:6
IPCC (2014) Climate change 2014: synthesis report. Contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change. IPCC, Geneva
Jeong DI, Sushama L, Diro GT, Khaliq MN, Beltrami H, Caya D (2016) Projected changes to high temperature events for Canada based on a regional climate model ensemble. Clim Dyn 46:3163–3180
Justice C, White SM, McCullough DA, Graves DS, Blanchard MR (2017) Can stream and riparian restoration offset climate change impacts to salmon populations? J Environ Manag 188:212–227
Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77:437–471
Kendall M (1970) Rank correlation methods, 4th edn. Griffin, London
Kløve B, Ala-Aho P, Bertrand G, Gurdak JJ, Kupfersberger H, Kværner J, Muotka T, Mykrä H, Preda E, Rossi P (2014) Climate change impacts on groundwater and dependent ecosystems. J Hydrol 518:250–266
Lemmen DS, Warren FJ (2004) Climate change impacts and adaptation: a Canadian perspective
Li YP, Huang GH, Huang YH, Zhou HD (2009) A multistage fuzzy-stochastic programming model for supporting sustainable water-resources allocation and management. Environ Modell Softw 24(7):786–797
Li Z, Huang GH, Han JC, Wang XQ, Fan YR, Cheng GH, Zhang H, Huang WD (2015) Development of a stepwise-clustered hydrological inference model. J Hydrol Eng 20:04015008
Mann HB (1945) Nonparametric tests against trend. Econom J Econom Soc 13:245–259
Martin G, Ballamingie P (2016) Climate change and the residential development industry in Ottawa, Canada. https://carleton.ca/communityfirst/2016/report-climate-change-residential-development-industry-ottawa-canada/. Accessed 10 Apr 2017
Mohareb AK, Warith MA, Diaz R (2008) Modelling greenhouse gas emissions for municipal solid waste management strategies in Ottawa, Ontario, Canada. Resour Conserv Recy 52:1241–1251
Mtongori HI, Stordal F, Benestad RE (2016) Evaluation of empirical statistical downscaling models’ skill in predicting Tanzanian rainfall and their application in providing future downscaled scenarios. J Clim 29:3231–3252
Nalley D, Adamowski J, Khalil B, Ozga-Zielinski B (2013) Trend detection in surface air temperature in Ontario and Quebec, Canada during 1967–2006 using the discrete wavelet transform. Atmos Res 132:375–398
NCEP (2016) NCEP North American regional reanalysis: NARR. https://www.esrl.noaa.gov/psd/data/gridded/data.narr.html. Accessed 10 Apr 2017
OCCIAR (2012) Information package: a citizen panel workshop on climate change. Ottawa, Ontario. http://www.climateontario.ca/doc/workshop/CitizenPanel/CitizenConferenceDelegatePackage/OttawaCPW_InformationPackage.pdf. Accessed 10 Apr 2017
Onyutha C, Tabari H, Rutkowska A, Nyeko-Ogiramoi P, Willems P (2016) Comparison of different statistical downscaling methods for climate change rainfall projections over the Lake Victoria basin considering CMIP3 and CMIP5. J Hydro-environ Res 12:31–45
Pecl GT, Araújo MB, Bell JD, Blanchard J, Bonebrake TC, Chen I-C, Clark TD, Colwell RK, Danielsen F, Evengård B (2017) Biodiversity redistribution under climate change: impacts on ecosystems and human well-being. Science 355:eaai9214
Pierce DW, Das T, Cayan DR, Maurer EP, Miller NL, Bao Y, Kanamitsu M, Yoshimura K, Snyder MA, Sloan LC (2013) Probabilistic estimates of future changes in California temperature and precipitation using statistical and dynamical downscaling. Clim Dyn 40:839–856
Qin XS, Huang GH, Chakma A (2007) A stepwise-inference-based optimization system for supporting remediation of petroleum-contaminated sites. Water Air Soil Pollut 185:349–368
Quintana-Segui P, Peral C, Turco M, Llasat MC, Martin E (2016) Meteorological analysis systems in North-East Spain: validation of SAFRAN and SPAN. J Environ Inform 27:116–130
Rao CR (1952) Advanced statistical methods in biometric research. Wiley, New York
Razavi T, Switzman H, Arain A, Coulibaly P (2016) Regional climate change trends and uncertainty analysis using extreme indices: a case study of Hamilton, Canada. Clim Risk Manag 13:43–63
Riahi K, Rao S, Krey V, Cho CH, Chirkov V, Fischer G, Kindermann G, Nakicenovic N, Rafaj P (2011) RCP 8.5—a scenario of comparatively high greenhouse gas emissions. Clim Change 109:33–57
Rosenzweig C, Elliott J, Deryng D, Ruane AC, Müller C, Arneth A, Boote KJ, Folberth C, Glotter M, Khabarov N (2014) Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison. Proc Natl Acad Sci 111:3268–3273
Sachindra DA, Huang F, Barton AF, Perera BJC (2014) Multi-model ensemble approach for statistically downscaling general circulation model outputs to precipitation. Q J R Meteorol Soc 140(681):1161–1178
Santos JA, Costa R, Fraga H (2017) Climate change impacts on thermal growing conditions of main fruit species in Portugal. Clim Change 140:273–286
Sen PK (1968) Estimates of regression coefficient based on Kendalls tau. J Am Stat Assoc 63:1379–1389
Statistics Canada (2017) Ottawa, CV [Census subdivision], Ontario and Ontario [Province] (table). Census Profile. 2016 Census. Statistics Canada Catalogue no. 98–316-X2016001. Ottawa. https://www12.statcan.gc.ca/census-recensement/2016/dp-pd/prof/index.cfm?Lang=E. Accessed 28 May 2018
Su BD, Huang JL, Gemmer M, Jian DN, Tao H, Jiang T, Zhao CY (2016) Statistical downscaling of CMIP5 multi-model ensemble for projected changes of climate in the Indus River Basin. Atmos Res 178:138–149
Sun W, Huang GH, Zeng GM, Qin XS, Sun XL (2009) A stepwise-cluster microbial biomass inference model in food waste composting. Waste Manage 29:2956–2968
Sun F, Hall A, Schwartz M, Walton DB, Berg N (2016) Twenty-first-century snowfall and snowpack changes over the Southern California Mountains. J Clim 29:91–110
Tebaldi C, Smith RL, Nychka D, Mearns LO (2005) Quantifying uncertainty in projections of regional climate change: a Bayesian approach to the analysis of multimodel ensembles. J Clim 18(10):1524–1540
Teutschbein C, Wetterhall F, Seibert J (2011) Evaluation of different downscaling techniques for hydrological climate-change impact studies at the catchment scale. Clim Dyn 37:2087–2105
Thomson AM, Calvin KV, Smith SJ, Kyle GP, Volke A, Patel P, Delgado-Arias S, Bond-Lamberty B, Wise MA, Clarke LE, Edmonds JA (2011) RCP4.5: a pathway for stabilization of radiative forcing by 2100. Clim Change 109:77–94
Trzaska S, Schnarr E (2014) A review of downscaling methods for climate change projections. United States Agency for International Development by Tetra Tech ARD, pp 1–56
Vikhamar-Schuler D, Isaksen K, Haugen JE, Tømmervik H, Luks B, Schuler TV, Bjerke JW (2016) Changes in winter warming events in the Nordic Arctic Region. J Clim 29:6223–6244
Wang S, Huang GH, He L (2012) Development of a clusterwise-linear-regression-based forecasting system for characterizing DNAPL dissolution behaviors in porous media. Sci Total Environ 433:141–150
Wang XQ, Huang GH, Lin QG, Nie XH, Cheng GH, Fan YR, Li Z, Yao Y, Suo MQ (2013) A stepwise cluster analysis approach for downscaled climate projection—a Canadian case study. Environ Modell Softw 49:141–151
Wang XQ, Huang GH, Lin QG, Liu JL (2014) High-resolution probabilistic projections of temperature changes over Ontario, Canada. J Clim 27(14):5259–5284
Wang XQ, Huang GH, Lin QG, Nie XH, Liu JL (2015a) High-resolution temperature and precipitation projections over Ontario, Canada: a coupled dynamical–statistical approach. Q J R Meteorol Soc 141:1137–1146
Wang XQ, Huang GH, Zhao S, Guo JH (2015b) An open-source software package for multivariate modeling and clustering: applications to air quality management. Environ Sci Pollut Res 22:14220–14233
Wang XQ, Huang GH, Liu JL, Li Z, Zhao S (2015c) Ensemble projections of regional climatic changes over Ontario, Canada. J Clim 28(18):7327–7346
Wang XQ, Huang GH, Liu JL (2016a) Observed regional climatic changes over Ontario, Canada, in response to global warming. Meteorol Appl 23(1):140–149
Wang B, Liu DL, Macadam I, Alexander LV, Abramowitz G, Yu Q (2016b) Multi-model ensemble projections of future extreme temperature change using a statistical downscaling method in south eastern Australia. Clim Change 138:85–98
Wang L, Huang G, Wang X, Zhu H (2018) Risk-based electric power system planning for climate change mitigation through multi-stage joint-probabilistic left-hand-side chance-constrained fractional programming: a Canadian case study. Renew Sustain Energy Rev 82:1056–1067
Way RG, Viau AE (2015) Natural and forced air temperature variability in the Labrador region of Canada during the past century. Theor Appl Climatol 121:413–424
Wheeler T, Von Braun J (2013) Climate change impacts on global food security. Science 341:508–513
Wilby RL, Wigley T (1997) Downscaling general circulation model output: a review of methods and limitations. Progress Phys Geogr 21:530–548
Wilby R, Charles S, Zorita E, Timbal B, Whetton P, Mearns L (2004) Guidelines for use of climate scenarios developed from statistical downscaling methods. Supporting material of the Intergovernmental Panel on Climate Change, available from the DDC of IPCC TGCIA 27
Wilks SS (1962) Mathematical statistics. Wiley, New York
Yang T, Hao XB, Shao QX, Xu CY, Zhao CY, Chen X, Wang WG (2012) Multi-model ensemble projections in temperature and precipitation extremes of the Tibetan Plateau in the 21st century. Glob Planet Chang 80–81:1–13
Yang X, Tian Z, Sun L, Chen B, Tubiello FN, Xu Y (2017) The impacts of increased heat stress events on wheat yield under climate change in China. Clim Change 140:605–620
Zhai YY, Huang GH, Zhou Y, Zhou X (2016) A factorial dual-interval programming approach for planning municipal waste management systems. J Environ Eng 142:04016033
Zhang X, Vincent LA, Hogg W, Niitsoo A (2000) Temperature and precipitation trends in Canada during the 20th century. Atmos Ocean 38:395–429
Zhou X, Huang G, Wang X, Cheng G (2017a) Dynamically-downscaled temperature and precipitation changes over Saskatchewan using the PRECIS model. Clim Dyn 50:1–14
Zhou X, Huang GH, Wang XQ, Fan YR, Cheng GH (2017b) A coupled dynamical-copula downscaling approach for temperature projections over the Canadian Prairies. Clim Dyn. https://doi.org/10.1007/s00382-017-4020-3
Zhou X, Huang GH, Baetz BW, Wang XQ, Cheng GH (2018a) PRECIS-projected increases in temperature and precipitation over Canada. Q J R Meteorol Soc 144(711):588–603
Zhou X, Huang GH, Wang XQ, Cheng GH (2018b) Future changes in precipitation extremes over Canada: driving factors and inherent mechanism. J Geophys Res Atmos 123(11):5783–5803
Zhuang XW, Li YP, Huang GH, Wang XQ (2016) A hybrid factorial stepwise-cluster analysis method for streamflow simulation—a case study in northwestern China. Hydrol Sci J 61:2775–2788
Acknowledgements
This research was supported by the National Key Research and Development Plan (2016YFA0601502, 2016YFC0502800), the Natural Sciences Foundation (51520105013, 51679087), the 111 Program (B14008) and the Natural Science and Engineering Research Council of Canada.
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Zhai, Y., Huang, G., Wang, X. et al. Future projections of temperature changes in Ottawa, Canada through stepwise clustered downscaling of multiple GCMs under RCPs. Clim Dyn 52, 3455–3470 (2019). https://doi.org/10.1007/s00382-018-4340-y
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DOI: https://doi.org/10.1007/s00382-018-4340-y