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Climatic Change

, 98:277 | Cite as

Changes in European temperature extremes can be predicted from changes in PDF central statistics

A letter
  • Joan BallesterEmail author
  • Filippo Giorgi
  • Xavier Rodó
Letter

Abstract

Although uncertainties are still large, many potentially dangerous effects have already been identified concerning the impacts of global warming on human societies. For example, the record-breaking 2003 summer heat wave in Europe has given a glimpse of possible future European climate conditions. Here we use an ensemble of regional climate simulations for the end of the twentieth and twenty-first centuries over Europe to show that frequency, length and intensity changes in warm and cold temperature extremes can be derived to a close approximation from the knowledge of changes in three central statistics, the mean, standard deviation and skewness of the Probability Distribution Function, for which current climate models are better suited. In particular, the effect of the skewness parameter appears to be crucial, especially in the case of cold extremes, since it mostly explains the relative warming of these events compared to the whole distribution. An application of this finding is that the future impacts of extreme heat waves and cold spells on non-climatological variables (e.g., mortality) can be estimated to a first-order approximation from observed time series of daily temperature transformed in order to account for simulated changes in these three statistics.

Keywords

Heat Wave Probability Distribution Function Cold Spell Temperature Time Series Extreme Tail 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Supplementary material

10584_2009_9758_MOESM1_ESM.jpg (1.4 mb)
Supplementary Figure 1 Ratio changes (scenario/control) in multi-model mean length of tail events for detrended daily TMEAN. A warm (cold) tail event is defined as a set of consecutive warm (cold) tail days. Results are shown for M-A2 (blue), MS-A2 (green), MSW-A2 (red) and A2 (black). Ratio changes are first averaged for each grid-point in Europe and then for each model. Discontinuous colored areas display a measure of model uncertainty, defined here as one inter-model standard deviation above and below the multi-model mean. (JPEG 1.44 MB).
10584_2009_9758_MOESM2_ESM.jpg (1.5 mb)
Supplementary Figure 2 Same as Figure 3, but for several European subregions and for the A2 scenario (JPEG 1.45 MB).
10584_2009_9758_MOESM3_ESM.doc (76 kb)
Supplementary Information (DOC 76.0 KB).

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Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  1. 1.Institut Català de Ciències del Clima (IC3)Carrer Dr. Trueta 203BarcelonaSpain
  2. 2.Abdus Salam International Centre for Theoretical PhysicsTriesteItaly

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