Climate Change Prediction |
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| Authors: | Email author" target="_blank">Filippo?GiorgiEmail author |
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| Institution: | (1) Abdus Salam International Centre for Theoretical Physics, Trieste, Italy |
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| Abstract: | The concept of climate change prediction in response to anthropogenic forcings at multi-decadal time scales is reviewed. This
is identified as a predictability problem with characteristics of both first kind and second kind (due to the slow components
of the climate system). It is argued that, because of the non-linear and stochastic aspects of the climate system and of the
anthropogenic and natural forcings, climate change contains an intrinsic level of uncertainty. As a result, climate change
prediction needs to be approached in a probabilistic way. This requires a characterization and quantification of the uncertainties
associated with the sequence of steps involved in a climate change prediction. A review is presented of different approaches
recently proposed to produce probabilistic climate change predictions. The additional difficulties found when extending the
prediction from the global to the regional scale and the implications that these have on the choice of prediction strategy
are finally discussed. |
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| Keywords: | |
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