Abstract
Future changes in the mean, maximum, and minimum surface temperature over Europe are investigated according to CMIP6 future climate projections. All the temperature variables are projected to increase across Europe particularly in northern and southernmost latitudes, where according to SSP5-8.5 the warming can reach 2–3 (5–6) °C at the middle (end) of the current century. The warming is particularly strong in Northern (Mediterranean) areas in winter (summer) seasons. The occurrence of hot days (mean temperature > 30 °C) is projected to increase in all southern Europe by the end of the century (> 40–60 days/year), particularly in the southern parts of the Iberian Peninsula and Turkey. Increases in the occurrence of very hot days (maximum temperature > 40 °C) are projected in the central-southern areas of the Iberian Peninsula (30–40 days/year) and southern Turkey (> 50 days/year) in the end of the century. Tropical nights are expected to increase throughout the century in all Europe (except the northernmost latitudes), particularly at southern Europe for the 2081–2100 period (50–80 nights/year). Frost days (minimum temperature < 0 °C) are expected to occur less in all Europe towards the end of the century, with less than 50–70 days/year in central Europe and even less in Scandinavia and north-eastern Russia.
Similar content being viewed by others
References
Amengual A, Homar V, Romero R, Alonso S, Ramis C (2012) A statistical adjustment of regional climate model outputs to local scales: application to Platja de Palma, Spain. J Clim 25(3):939–957
Amengual A, Homar V, Romero R, Brooks HE, Ramis C, Gordaliza M, Alonso S (2014) Projections of heat waves with high impact on human health in Europe. Glob Planet Chang 119:71–84
Buser CM, Künsch HR, Lüthi D, Wild M, Schär C (2009) Bayesian multi-model projection of climate: bias assumptions and interannual variability. Clim Dyn 33:849–868
Cardell MF, Romero R, Amengual A, Homar V, Ramis C (2019) A quantile–quantile adjustment of the EURO-CORDEX projections for temperatures and precipitation. Int J Climatol 39(6):2901–2918
Cardoso, RM., Soares, PMM., Lima, DCA., and Miranda, PMA. (2019) Mean and extreme temperatures in a warming climate: EURO CORDEX and WRF regional climate high-resolution projections for Portugal. Climate Dynamics,. Springer Verlag 52(1–2), 129–157.
Carvalho D, Rocha A, Santos CS, Pereira R (2013) Wind resource modelling in complex terrain using different mesoscale–microscale coupling techniques. Appl Energy 108:493–504
Carvalho D, Rocha A, Gómez-Gesteira M, Silva SC (2014) WRF wind simulation and wind energy production estimates forced by different reanalyses: comparison with observed data for Portugal. Appl Energy 117:116–126
Carvalho DC, Rocha A, Gómez-Gesteira M, Silva Santos C (2017) Potential impacts of climate change on European wind energy resource under the CMIP5 future climate projections. Renew Energy 101:29–40
Carvalho DC, Cardoso Pereira S, Rocha A (2020) Future surface temperature changes for the Iberian Peninsula according to EURO-CORDEX climate projections. Clim Dyn. https://doi.org/10.1007/s00382-020-05472-3
Casanueva A, Herrera S, Iturbide M et al (2020) Testing bias adjustment methods for regional climate change applications under observational uncertainty and resolution mismatch. Atmos Sci Lett 21:978
Cattiaux J, Douville H, Peings Y (2013) European temperatures in CMIP5: origins of present-day biases and future uncertainties. Clim Dyn 41:2889–2907
Costoya X, Rocha A, Carvalho D (2020) Using bias-correction to improve future projections of offshore wind energy resource: a case study on the Iberian Peninsula. Appl Energy 262:114562
C3S - Copernicus Climate Change Service (2017). ERA5: fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service Climate Data Store (CDS).
Dosio A (2016) Projections of climate change indices of temperature and precipitation from an ensemble of bias-adjusted high-resolution EURO-CORDEX regional climate models. J Geophys Res Atmos 121:5488–5511
Eyring V, Bony S, Meehl GA, Senior CA, Stevens B, Stouffer RJ, Taylor KE (2016) Overview of the Coupled Model Intercomparison Project Phase 6(CMIP6) experimental design and organization. Geosci Model Dev 9:1937–1958
Forster PM, Maycock AC, McKenna CM et al (2019) Latest climate models confirm need for urgent mitigation. Nat Clim Chang 10:7–10
Gibbons JD, Chakraborti S (2011) Nonparametric statistical inference, 5th edn. Chapman & Hall/CRC Press, Taylor & Francis Group, Boca Raton, FL
Harris I, Jones PD, Osbornaand TJ, Lister DH (2014) Updated high-resolution grids of monthly climatic observations – the CRU TS3.10 Dataset. Int J Climatol 34:623–642
IPCC 2018: Special Report Global Warming of 1.5°C. https://www.ipcc.ch/sr15/
Jacob D, Petersen J, Eggert B, Alias A et al (2014) EURO-CORDEX: new high-resolution climate change projectionsfor European impact research. Reg Environ Chang 14:563–578
Kim Y-H, Min S-K, Zhang X, Sillman J, Sandstad M (2020) Evaluation of the CMIP6 multi-model ensemble for climate extreme indices. Weather and Climate Extremes 29:100269
Li H, Sheffield J, Wood EF (2010) Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching. J Geophys Res 115:D10101
Meehl GA et al (2007) Global climate projections. In: Solomon S et al (eds) Climate Change 2007: the physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge Univ. Press, New York, pp 749–845
Miao C, Su L, Sun Q, Duan Q (2016) A nonstationary bias-correction technique to remove bias in GCM simulations. J Geophys Res Atmos 121:5718–5735
Nie S, Fu S, Jia X (2020) Comparison of monthly air and land surface temperature extremessimulated using CMIP5 and CMIP6 versions of the Beijing Climate Center climate model. Theor Appl Climatol 140:487–502
Ouzeau, G., Soubeyroux, JM., Schneider, M., Vautard, R., and Planton, S. (2016) Heat waves analysis over France in present and future climate: application of a new method on the EURO-CORDEX ensemble. Climate Services,. The Authors 4, 1–12.
Pierce DW, Barnett TP, Santer BD, Gleckler PJ (2009) Selecting global climate models for regional climate change studies. Proc Natl Acad Sci 106(21):8441–8446
Vautard R et al (2013) The simulation of European heat waves from an ensemble of regional climate models within the EURO-CORDEX project. Clim Dyn 41(9–10):2555–2575
Voldoire A, Saint-Martin D, Senesi S, Decharme B, Alias A, Chevallier M, Waldman R (2019) Evaluation of CMIP6 DECK experiments with CNRM-CM6-1. J Adv Model Earth Syst 11:2177–2213
Acknowledgements
We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups cited in Table 1 for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF. We also acknowledge ECMWF and the Copernicus Climate Change Service for providing and making available the ERA5 reanalysis data used in this work. David Carvalho acknowledges the Portuguese Foundation for Science and Technology (FCT) for his researcher contract (CEECIND/01726/2017), the FCT/MCTES for the financial support to CESAM (UIDP/50017/2020+UIDB/50017/2020) through national funds, and the funding of the project FIREMODSAT II (PTDC/ASPSIL/28771/2017).
Availability of data and material
All the climatic data used in this work is publicly available through the Earth System Grid Federation (ESGF) Data Portal (https://esgf.llnl.gov/) and through the ECMWF Copernicus Climate Change Service (https://climate.copernicus.eu/)
Code availability
MATLAB software was used in the calculations presented in this study. No other software or custom code was used.
Funding
The authors were funded by the Portuguese Foundation for Science and Technology (FCT) through a researcher contract (CEECIND/01726/2017), the FCT/MCTES for the financial support to CESAM (UIDP/50017/2020+UIDB/50017/2020) through national funds, and through the project FIREMODSAT II (PTDC/ASPSIL/28771/2017).
Author information
Authors and Affiliations
Corresponding author
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.
Rights and permissions
About this article
Cite this article
Carvalho, D., Cardoso Pereira, S. & Rocha, A. Future surface temperatures over Europe according to CMIP6 climate projections: an analysis with original and bias-corrected data. Climatic Change 167, 10 (2021). https://doi.org/10.1007/s10584-021-03159-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10584-021-03159-0