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Assessing uncertainties in climate change impacts on resource potential for Europe based on projections from RCMs and GCMs

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Abstract

An analysis is presented of the estimated impacts of climate change on resource potential in Europe under a wide range of model-based climate scenarios. Simple models and indices were used to assess impacts on the growing season, potential biomass, thermal suitability for the cultivation of crops, and potential energy demand for indoor cooling. Impacts were estimated for climate during the 1961–1990 baseline period (both observed and modelled) and projected during 2071–2100 based on outputs from a range of regional climate models (RCMs) driven by general circulation models (GCMs) assuming forcing by SRES emission scenarios A2 and B2, and from six atmosphere–ocean GCMs forced by a wider range of emission scenarios. Uncertainties in the projected impacts of climate change are assessed with respect to: (1) the direct climate model output vs. delta change approach, (2) differences in the driving GCMs and the RCM runs, (3) differences across a range of emission scenarios, (4) changes in long-term mean climate, and (5) changes in inter-annual climate variability. Future simulations show substantial changes in all analysed impact sectors, but with a relatively large spread of results attributable to uncertainties in future climate expressed by the different scenarios. Results included shifts of the northern limits of areas thermally suitable for the cultivation of soya bean and grain maize by several hundred kilometres, lengthening of the thermal growing season by 3–12 weeks, strong increases of potential biomass in northern Europe and slight decreases in southern Europe, and increased energy demand for cooling throughout Europe. Our results hint at systematic differences between RCM and GCM projections of temperature, though not precipitation, over Europe. The results also highlight the importance of accounting for inter-annual variability in estimating future impacts, through its affect on levels of risk. However, the results caution against the use of direct RCM outputs in impact models, due to biases in the representation of present-day climate. The delta change approach still appears to be the preferred option for most applications.

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References

  • Brooks CEP (1943) Interpolation tables for daily values of meteorological elements. Q J R Meteorol Soc 69:160–162

    Article  Google Scholar 

  • Carter TR (1998) Changes in the thermal growing season in Nordic countries during the past century and prospects for the future. Agric Food Sci Finl 7:161–179

    Google Scholar 

  • Carter TR, Porter JH, Parry ML (1991) Climatic warming and crop potential in Europe: prospects and uncertainties. Glob Environ Change 1:291–312

    Article  Google Scholar 

  • Chmielewski F-M, Rotzer T (2001) Response of tree phenology to climate change across Europe. Agric For Meteorol 108:101–112

    Article  Google Scholar 

  • Christensen JH, Christensen OB (2007) A summary of the PRUDENCE model projections of changes in European climate by the end of this century. Clim Change, doi:10.1007/s10584-006-9210-7 (this issue)

  • Dai A, Fung IY (1993) Can climate variability contribute to the “missing” CO2 sink?. Glob Biogeochem Cycles 7(3):599–609

    Article  Google Scholar 

  • DoE (1996) Review of the potential effects of climate change in the United Kingdom. Second report of the United Kingdom Climate Change Impacts Review Group, Department of the Environment, London, 250 pp

  • Eurostat (2005) Online data portal of the Statistical Office of the European Communities. http://epp.eurostat.cec.eu.int [Path: Agriculture and fisheries > Data > Agriculture > Agricultural products > Crops products > Crops products (excluding fruits and vegetables) > Crop production > C1470 Soya bean]

  • Giorgi F, Hewitson B, Christensen JH, Hulme M, von Storch H, Whetton P, Jones R, Mearns L, Fu C (2001) Regional climate information – evaluation and projections. Chapter 10. In: Houghton J, et al (eds) Climate change 2001: the scientific basis. Contribution of working group I to the third assessment report of the intergovernmental panel on climate change. Cambridge, UK, pp 583–638

  • Hulme M, Barrow EM, Arnell N, Harrison PA, Downing TE, Johns TC (1999) Relative impacts of human-induced climate change and natural climate variability. Nature 397:688–691

    Article  Google Scholar 

  • IPCC (2001) Climate change 2001: vulnerability, impacts and adaptation. Contribution of Working Group II to the third assessment report of the Intergovernmental Panel on Climate Change. In: McCarthy JJ, Canziani OF, Leary NA, Dokken DJ, White KS (eds) Cambridge University Press, Cambridge, UK, 1032 pp

  • Jacob D, Bärring L, Christensen OB, Christensen JH, de Castro M, Déqué M, Giorgi F, Hagemann S, Hirschi M, Jones R, Kjellström E, Lenderink G, Rockel B, Sánchez E, Schär C, Seneviratne SI, Somot S, van Ulden A, van den Hurk B (2007) An inter-comparison of regional climate models for Europe: model performance in present-day climate. Clim Change, doi:10.1007/s10584-006-9213-4 (this issue)

  • Kauppi P, Posch M (1988) A case study of the effects of CO2-induced climatic warming on forest growth and the forest sector: A. Productivity reactions of northern boreal forests. In: Parry ML, Carter TR, Konijn NT (eds) The impact of climatic variations on agriculture, vol. 1: assessments in cool temperate and cold regions. Kluwer, Dordrecht, The Netherlands, pp 183–195

    Google Scholar 

  • Kundzewicz ZW, Parry ML, Cramer W, Holten J, Kaczmarek Z, Martens P, Nicholls RJ, Öquist M, Rounsevell MDA, Szolgay J (2001) Europe. Chapter 13. In: McCarthy J et al (eds) Climate change 2001: vulnerability, impacts and adaptation. Contribution of working group II to the third assessment report of the intergovernmental panel on climate change. Cambridge, UK, pp 641–692

  • Leemans R, van den Born GJ (1994) Determining the potential distribution of vegetation, crops and agricultural productivity. Water Air Soil Pollut 76:133–161

    Article  Google Scholar 

  • Lieth H (1975) Modeling the primary productivity of the world. In: Lieth H, Whittaker RH (eds) Primary productivity of the biosphere. Springer, Berlin Heidelberg New York, pp 237–263

    Google Scholar 

  • McAvaney BJ, Covey C, Joussaume S, Kattsov V, Kitoh A, Ogana W, Pitman AJ, Weaver AJ, Wood RA, Zhao Z-C (2001) Model evaluation. Chapter 8. In: Houghton J et al (eds) Climate change 2001: the scientific basis. Contribution of working group I to the third assessment report of the intergovernmental panel on climate change. Cambridge, UK, pp 471–523

  • Mearns LO, Hulme M, Carter TR, Leemans R, Lal M, Whetton PH (2001) Climate scenario development. Chapter 13. In: Houghton J et al (eds) Climate change 2001: the scientific basis. Contribution of working group I to the third assessment report of the intergovernmental panel on climate change. Cambridge, UK, pp 739–768

  • Menzel A, Jakobi G, Ahas R, Scheifinger H, Estrella N (2003) Variations of the climatological growing season (1951–2000) in Germany compared with other countries. Int J Climatol 23:793–812

    Article  Google Scholar 

  • NCDC (2002) State, regional, and national monthly cooling degree-days weighted by population (2000 census): 1971–2000 (and previous normals periods). Historical Climatography Series No. 5-2, National Climatic Data Center, National Oceanic and Atmospheric Administration, Asheville, NC, p 16

  • New M, Hulme M, Jones PD (1999) Representing twentieth century space-time climate variability. Part 1: development of a 1961–90 mean monthly terrestrial climatology. J Climate 12:829–856

    Article  Google Scholar 

  • New M, Hulme M, Jones PD (2000) Representing twentieth century space-time climate variability. Part 2: development of 1901–96 monthly grids of terrestrial surface climate. J Climate 13:2217–2238

    Article  Google Scholar 

  • Olesen JE, Carter TR, Díaz-Ambrona CH, Fronzek S, Heidmann T, Hickler T, Holt T, Minguez MI, Morales P, Palutikov J, Quemada M, Ruiz-Ramos M, Rubæk G, Sau F, Smith B, Sykes M (2007) Uncertainties in projected impacts of climate change on European agriculture and terrestrial ecosystems based on scenarios from regional climate models. Clim Change, doi:10.1007/s10584-006-9216-1 (this issue)

  • Parry M (ed) (2000) Assessment of potential effects and adaptations for climate change in Europe: the Europe ACACIA project. Jackson Environment Institute, University of East Anglia, Norwich, UK, 320 pp

  • Ruosteenoja K, Tuomenvirta H, Jylhä K (2007) GCM-based regional temperature and precipitation change estimates for Europe under four SRES scenarios applying a super-ensemble pattern-scaling method. Clim Change, doi:10.1007/s10584-006-9222-3 (this issue)

  • Schuur EAG (2003) Productivity and global climate revisited: the sensitivity of tropical forest growth to precipitation. Ecology 84(5):1165–1170

    Article  Google Scholar 

  • Walther G-R, Post E, Convey P, Menzel A, Parmesan C, Beebee TJC, Fromentin J-M, Hoegh-Guldberg IO, Bairlein F (2002) Ecological responses to recent climate change. Nature 416:389–395

    Article  Google Scholar 

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Fronzek, S., Carter, T.R. Assessing uncertainties in climate change impacts on resource potential for Europe based on projections from RCMs and GCMs. Climatic Change 81 (Suppl 1), 357–371 (2007). https://doi.org/10.1007/s10584-006-9214-3

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