Abstract
The climate system of the Earth is an extremely non-linear system. This means that its development cannot (or only in a very restricted way) be predicted (Lorenz 1963). If global climate changes are to be expected, their regional impacts will primarily be of special interest. Since global climate models are presently, and in the near future, not able to provide applicable model results of meteorological parameters at the regional scale (IPCC 1995), one has to find other possibilities for data supply for the estimation of climate developments in such areas. In doing so, consistency should not be violated, either spatially/temporally or between the meteorological parameters. Three fundamental methods for scenario development are presently being discussed.
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References
Gerstengarbe F-W, Werner PC (1989) A method for the statistical definition of extreme value regions and their application to meteorological time series. Z Meteorol 39(4):224–226
Gerstengarbe F-W, Werner PC (1997) A method to estimate the statistical confidence of cluster separation. Theor Appl Climatol 57: 103–110
Gerstengarbe F-W, Werner PC, Fraedrich K (1999) Applying non-hierarchical cluster analysis algorithms to climate classification: some problems and their solution. Theor Appl Climatol 64:143–150
IPCC (1995) Climate change 1995. Summary for policymakers. Cambridge University Press, Cambridge UK
Köppen W (1936) Das geographische System der Klimate. Bornträger, Berlin, p 388 (Handbuch der Klimatologie, vol 1/C)
Lorenz EN (1963) Deterministic non-periodic flow. J Atmos Sci 20:130–141
Machenhauer B, Windelband M, Potzet M, Jones RG, Déqué M (1996) Validation of present-day regional climate simulations over Europe: Nested LAM and variable resolution global model simulations with observed or mixed layer ocean boundary conditions. Max-Planck-Institut fiir Meteorologie, Hamburg (MPI report 191)
Roeckner E, Arpe K, Bengtsson L, Christph M, Claussen M, Dümenil L, Esch M, Giorgetta M, Schlese U, Schulzweida U (1996) The atmospheric general circulation model ECHAM-4: model description and simulation of present-day climate. Max-PlanckInstitut für Meteorologie, Hamburg (MPI report 218)
Trewartha GT (1980) An introduction to climate, 5th edn. McGraw-Hill, New York, p 437
Werner PC, Gerstengarbe F-W (1997) A proposal for the development of climate scenarios. Climate Res 8: 171–182
Zorita E, Hughes JP, Lettemaier DP, von Storch H (1993) Stochastic characterization of regional circulation patterns for climate model diagnosis and estimation of local precipitation. Max-Planck-Institut für Meteorologie, Hamburg (MPI report 109)
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Gerstengarbe, FW., Werner, P.C. (2003). Climate Analysis and Scenarios for Northeast Brazil. In: Gaiser, T., Krol, M., Frischkorn, H., de Araújo, J.C. (eds) Global Change and Regional Impacts. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55659-3_11
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DOI: https://doi.org/10.1007/978-3-642-55659-3_11
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