A comprehensive climate characterization of the Oristano (Sardinia) regional pilot case study.
Abstract
In order to assess probability distributions of critical response variables in a full crop modelling system, a complete climate characterization has been implemented to identify principal variability components in the Oristano (Sardinia) regional pilot study area with a particular emphasis on current vs near future climate.
The past climate variability along with the near future climate perspective (2020-2030) has been analyzed to highlight and address the transition period and to better identify effective adaptive response of cropping systems to climate change.
Surface atmospheric fields as temperature and rainfall, along with large scale atmospheric circulation types have been analysed to provide a comprehensive nexus for seasonal and sub-seasonal variability over the recent past and near future in the Central Mediterranean basin. Furthermore a robust stratification of sub-seasonal atmospheric regimes as wet/dry spells and hot/cold spells has been defined to identify main forcing mechanisms over specific critical periods for agronomical practices and studying their links with potential remote climate centre of actions.
The past climate variability along with the near future climate perspective (2020-2030) has been analyzed to highlight and address the transition period and to better identify effective adaptive response of cropping systems to climate change.
Surface atmospheric fields as temperature and rainfall, along with large scale atmospheric circulation types have been analysed to provide a comprehensive nexus for seasonal and sub-seasonal variability over the recent past and near future in the Central Mediterranean basin. Furthermore a robust stratification of sub-seasonal atmospheric regimes as wet/dry spells and hot/cold spells has been defined to identify main forcing mechanisms over specific critical periods for agronomical practices and studying their links with potential remote climate centre of actions.
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