Skip to main content

Advertisement

Log in

Observed and projected climate change in the European region during the twentieth and twenty-first centuries according to Feddema

  • Published:
Climatic Change Aims and scope Submit manuscript

Abstract

Climate change in the European region during the twentieth and twenty-first centuries is analyzed according to Feddema’s method. Precipitation and air temperature data from the twentieth century are taken from the Climatic Research Unit, while data for the twenty-first century are taken from the ENSEMBLES climate change project. The latter were bias-corrected to ensure homogeneity across the twentieth and twenty-first centuries. Climate classes based on monthly and annual values of potential evapotranspiration, precipitation and their ratio, are defined for 30-year averages, from which trend and spatial agreement analysis are calculated. There are separate classes for annual values and for intra-annual variation. The results indicate that the change of annual climate characteristics will be much more intense in the twenty-first than it was in the twentieth century. The dominant process in the projections is warming, mostly via cold to cool (about 45% of grid points) in north Europe and cool to warm (about 8% of grid points) transformations. The second most important process is the drying of moderately moist classes affecting about 10% of the grid points in south Europe. Changes in intra-annual variability classes are more common than changes in the annual ones during the twentieth century. The chance of increase in intra-annual temperature variation from high to extreme is about 5% during the course of the twentieth century, and about 10% in the following century.

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

Similar content being viewed by others

References

  • Beck C, Grieser J, Kottek M, Rubel F, Rudolf B (2005) Characterizing global climate change by means of Köppen climate classification. Klimastatusbericht 2005:139–149

    Google Scholar 

  • Beniston M, Jungo P (2002) Shifts in the distributions of pressure, temperature and moisture in the Alpine region in response to the behavior of the North Atlantic oscillation. Theor Appl Climatol 71:29–42

    Article  Google Scholar 

  • Breuer H, Ács F, Skarbit N (2017) Climate change in Hungary during the twentieth century according to Feddema. Theor Appl Climatol 127:858–863

    Article  Google Scholar 

  • Castro M, Gallardo C, Jylha K, Tuomenvirta H (2007) The use of climate-type classification for assessing climate change effects in Europe from an ensemble of nine regional climate models. Clim Chang 81:329–341

    Article  Google Scholar 

  • Chen D, Chen HW (2013) Using the Köppen classification to quantify climate variation and change: an example for 1901–2010. Environ Dev Sustain 6:69–79

    Google Scholar 

  • Cohen J (1960) A coefficient of agreement for nominal scales. Educ Psychol Meas 20:37–46

    Article  Google Scholar 

  • Diaz HF, Bradley RS (1997) Temperature variations during the last century at high elevation sites. Clim Chang 36:253–279

    Article  Google Scholar 

  • Elguindi N, Grundstein A, Bernardes S, Turuncoglu U, Feddema J (2014) Assesment of CMIP5 global model simulations and climate change projections for the 21st century using a modified Thornthwaite climate classification. Clim Chang 122:523–538

    Article  Google Scholar 

  • Emanuel WR, Shugart HH, Stevenson MP (1985) Climatic change and the broad-scale distribution of terrestrial ecosystem complexes. Clim Chang 7:29–44

    Article  Google Scholar 

  • Engelbrecht CJ, Engelbrecht FA (2016) Shifts in Köppen-Geiger climate zones over southern Africa in relation to key global temperature goals. Theor Appl Climatol 123:247–261

    Article  Google Scholar 

  • Fábián AP, Matyasovszky I (2010) Analysis of climate change in Hungary according to an extended Köppen classification system, 1971–2060. Időjárás 114:251–261

    Google Scholar 

  • Feddema JJ (2005) A revised Thorntwaite-type global climate classification. Phys Geogr 26:442–466

    Article  Google Scholar 

  • Formayer H, Haas P (2009) Correction of RegCM3 model output data using a rank matching approach applied on various meteorological parameters. In: Deliverable D3.2 RCM output localization methods (BOKU-contribution of the FP 6 CECILIA project), pp 5-15

  • Fraedrich K, Gerstengarbe F-W, Werner PC (2001) Climate shifts during the last century. Clim Chang 50:405–417

    Article  Google Scholar 

  • Gallardo C, Gil V, Hagel E, Tejeda C, de Castro M (2013) Assessment of climate change in Europe from an ensemble of regional climate models by the use of Köppen-Trewartha classification. Int J Climatol 33:2157–2166

    Article  Google Scholar 

  • Geiger R (1954) Classification of climates after W. Köppen. Landolt-Börnstein – Zahlenwerte und Funktionen aus Physik, Chemie, Astronomie, Geophysik und Technik, alte Serie, vol 3. Springer, Berlin, pp 603–607

    Google Scholar 

  • Grundstein A (2008) Assessing climate change in the contiguous United States using a modified Thornthwaite climate classification scheme. Prof Geogr 60(3):398–412

    Article  Google Scholar 

  • Haylock MR, Hofstra N, Klein Tank AMG, Klok EJ, Jones PD, New M (2008) A European daily high-resolution gridded dataset of surface temperature and precipitation. J Geophys Res Atmos 113:D20119

    Article  Google Scholar 

  • Heikkinen RK, Luoto M, Araújo MB, Virkkala R, Thuiller W, Sykes MT (2006) Methods and uncertainties in bioclimatic envelope modelling under climate change. Prog Phys Geogr 30(6):751–777

    Article  Google Scholar 

  • Hewitt CD, Griggs DJ (2004) Ensembles-based predictions of climate changes and their impacts. EOS Trans Am Geophys Union 85:566–567

    Article  Google Scholar 

  • Holdridge LR (1947) Determination of world plant formations from simple climatic data. Science 105:367–368

    Article  Google Scholar 

  • Jacob D et al (2014) EURO-CORDEX: new high-resolution climate change projections for European impact research. Reg Environ Chang 14:563–578

    Article  Google Scholar 

  • Jylhä K, Tuomenvirta H, Ruosteenoja K, Niemi-Hugaerts H, Keisu K, Karhu JA (2010) Observed and projected future shifts of climatic zones in Europe and their use to visualize climate change information. Weather Clim Soc 2:148–167

    Article  Google Scholar 

  • Köppen W (1936) Das geographische System der Klimate (The geographic system of climates). In: Köppen W, Geiger R (eds) Handbuch der Klimatologie, Bd. 1. Teil C – Borntraeger, Berlin

    Google Scholar 

  • Lohmann R, Sausen R, Bengtsson L, Cubasch U, Perlwitz J, Roeckner E (1993) The Köppen climate classification as a diagnostic tool for general circulation models. Clim Res 3:177193

    Article  Google Scholar 

  • Mitchell TD, Carter TR, Jones PD, Hulme M, New M (2004) A comprehensive set of high-resolution grids of monthly climate for Europe and the globe: the observed record (1901–2000) and 16 scenarios (2001–2100). Tyndall Centre Working Paper 55:27

  • Monserud RS, Leemans R (1992) Comparing global vegetation maps with the kappa statistics. Ecol Model 62:275–293

    Article  Google Scholar 

  • Nakićenović N et al (2000) Special report on emissions scenarios. In: Working group III, Intergovernmental Panel on Climate Change (IPCC). Cambridge University Press, Cambridge 595 p

    Google Scholar 

  • Rohli RV, Joyner TA, Reynolds SJ, Shaw C, Vázquez JR (2015) Globally extended Köppen-Geiger climate classification and temporal shifts in terrestrial climatic types. Phys Geogr 36:142–157

    Article  Google Scholar 

  • Rubel F, Kottek M (2010) Observed and projected climate shifts 1901-2100 depicted by world maps of the Köppen-Geiger climate classification. Meteorol Z 19:135–141

    Article  Google Scholar 

  • Rubel F, Brugger K, Haslinger K, Auer I (2017) The climate of the European alps: shift of very high resolution Köppen-Geiger climate zones 1800-2100. Meteorol Z 26:115–125

    Article  Google Scholar 

  • Seo C, Thorne JH, Hannah L, Thuiller W (2009) Scale effects in species distribution models: implications for conservation planning under climate change. Biol Lett 5:39–43

    Article  Google Scholar 

  • Skarbit N, Ács F, Breuer H (2018) The climate of the European region during the 20th and 21st centuries according to Feddema. Int J Climatol 38:2435–2448

    Article  Google Scholar 

  • Szelepcsényi Z, Breuer H, Kis A, Pongrácz R, Sümegi P (2018) Assessment of projected climate change in the Carpathian region using the Holdridge life zone system. Theor Appl Climatol 131(1–2):593–610

    Article  Google Scholar 

  • Thornthwaite CW (1948) An approach toward a rational classification of climate. Geogr Rev 38:5–94

    Article  Google Scholar 

  • Thornthwaite CW, Mather JR (1955) The water balance. Publ. In Climatology 8(l). CW Thornthwaite & Associates, Centerton

  • van der Linden P, Mitchell JFB (2009) ENSEMBLES: climate change and its impacts: summary of research and results from the ENSEMBLES project. Met Office Hadley Centre, FitzRoy Road, Exeter EX1 3PB, UK

  • Wang M, Overland JE (2004) Detecting arctic climate change using Köppen climate classification. Clim Chang 67:43–62

    Article  Google Scholar 

  • Wang L, Rohli RV, Yan X, Li Y (2017) A new method of multi-model ensemble to improve the simulation of the geographic distribution of the Köppen–Geiger climatic types. Int J Climatol 37:5129–5138

    Article  Google Scholar 

  • Willmott CJ, Feddema JJ (1992) A more rational climatic moisture index. Prof Geogr 44:84–88

    Article  Google Scholar 

  • Ying S, Gao XJ, Wu J (2012) Projected changes in Köppen climate types in the 21st century over China. Atmos Oceanic Sci Lett 5:495–498

    Article  Google Scholar 

Download references

Acknowledgements

We acknowledge the E-OBS and ENSEMBLES (contract number 505539) dataset from the EU-FP6 project ENSEMBLES (http://ensembles-eu.metoffice.com) and the data providers in the European Climate Assessment and Dataset project (http://www.ecad.eu). The CRU high-resolution climate data set is available through the Climatic Research Unit and the Tyndall Centre.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hajnalka Breuer.

Electronic supplementary material

ESM 1

(PDF 1547 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Breuer, H., Ács, F. & Skarbit, N. Observed and projected climate change in the European region during the twentieth and twenty-first centuries according to Feddema. Climatic Change 150, 377–390 (2018). https://doi.org/10.1007/s10584-018-2271-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10584-018-2271-6

Navigation