In this framework, adopting the HISTALP database and concentrating on the time series related to its SW region, we study the influence of several circulation patterns (North Atlantic Oscillation, East Atlantic pattern, Arctic Oscillation, Scandinavian pattern, East Atlantic/West Russian pattern, Atlantic Blocking Index, European Blocking Index, El Niño Southern Oscillation) on annual and seasonal temperatures in this region.
We choose a NN model (endowed with different transfer functions) previously developed and applied to environmental studies, that has already shown its ability in finding nonlinear relationships in the complex climate system. Here, through a particular leave-one-out training/validation procedure (due to the quite short time series analyzed - 50 years), NNs are able to recognize the major roles of certain circulation patterns and to reconstruct temperatures better than multilinear regressions. In doing so, we find a difference in the “complexity” of the influences in different seasons, too.
This kind of studies is very useful for establishing major influences on regional temperatures and, therefore, makes available a crucial information for a downscaling activity. In fact, in doing so, we have to choose those GCMs which are able to reconstruct the behavior of these patterns. Only in this manner we could achieve a correct downscaling for successfully reconstructing climate at regional level and possibly supplying reliable future scenarios at this scale.
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