IS-ENES2 is the second phase project of the distributed e-infrastructure of models, model data and metadata of the European Network for Earth System Modelling (ENES). This network gathers together the European modelling community working on understanding and predicting climate variability and change. ENES organizes and supports European contributions to international experiments used in assessments of the Intergovernmental Panel on Climate Change. This activity provides the...

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Combining analysis of observed climate data with global and regional climate models GREENICE focuses on the atmosphere’s response to changes in ocean heat, sea ice and snow cover. It will enhance the ability to predict both anthropogenic and naturally-driven change on 10-30 year timescales. GREENICE will undertake case studies in selected northern communities to increase understanding of the present and historical adaptation of these communities...

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The Arctic is of fundamental importance in the climate system because of the important atmospheric and oceanic feedbacks that occur here. Added to this, global warming has caused intense changes in Arctic climate, with a rise in temperatures during recent years that is close to twice that of other regions. These rapid changes are a challenge to communities already at risk from many other aspects...

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Global climate models (ESMs or GCMs) can provide  climate information on scales of around 1000 by 1000 km (with grid resolution of 100’s of km) covering what could be a vastly differing landscape (from very mountainous to flat coastal plains for example) with greatly varying potential for floods, droughts or other extreme events. Regional Climate Models (RCM) and Empirical Statistical Downscaling (ESD), applied over a...

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ECRA aims to strengthen, expand and optimise EU climate research capabilities through the sharing of world-class national facilities in Europe and the collaborative realisation of pan-EU programmes. National and European Climate change research programmes have to be streamlined and coordinated, in order to ensure optimum use of human resources, modelling capacities, field activities, and infrastructures, maximising therefore the impact of scientific results and reinforcing the...

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