An assessment of temperature and precipitation change projections over Italy from recent global and regional climate model simulations

We present an assessment of climate change projections over the Italian peninsula for the 21st century from the CMIP3 global and PRUDENCE regional model experiments. We consider the A2, A1B, B2 and B1 emission scenarios. The climate change signal over Italy varies seasonally, with maximum warming in Summer (up to several degrees C) and minimum ill winter, decreased precipitation over the entire peninsula in summer (locally up to -40%) and a dipolar precipitation change pattern in winter (increase to the north and decrease to the South). Inter-annual variability increases in all seasons for precipitation and ill Summer for temperature, while it decreases for winter temperature. The seasonal temperature anomaly probability density functions (PDFs) show a shift as well as a broadening and flattening in future climate conditions, especially in Summer. This implies larger increases for extreme hot seasons than mean summer temperatures. The seasonal precipitation anomaly PDFs are greatly affected in summer, with a strong increase of very dry seasons. Moreover, seasons with large precipitation amounts tend to increase in future climate conditions, i.e. we find an increase of very dry (drought prone) and very wet (flood prone) seasons. The magnitude Of future climate change depends on the emission scenario and the temperature and precipitation change signals show substantial fine-scale structure in response to the topographical forcing of the Italian major mountain systems. In addition, the change signal is greater than the inter-model standard deviation for temperature in all seasons and for precipitation in the summer. Finally, the CMIP3 ensemble captures the observed 20th century trends of temperature and precipitation change over northern Italy. A broad agreement between the projections obtained with the CMIP3 and PRUDENCE ensembles is found, which adds robustness to the findings. Copyright (C) 2009 Royal Meteorological Society