Abstract: This paper will begin by defining some of the challenges that we face on the MACSUR project in terms of evaluating model uncertainty and carrying out model integration. I will briefly review what cloud technologies are available, followed with some suggestions about how those cloud technologies can be used in order to contribute to meeting the challenges set out in the first part of the paper.’Month 12’ deliverable for WP1 is a review of the opportunities for using cloud computing to develop the potential for model inter-comparison and interlinking in MACSUR. A challenging aspect of compiling this review is that before an ‘opportunity’ for any kind of model linking/comparison can be identified, a lot of information about the specifics of extant models and workflows must be gathered from each of the three themes (TradeM, CropM, and LiveM).This deliverable must, however, be more than just saying ‘these are the computing tools that we can use to.’. There are a number of different challenges at different levels; a hierarchy of challenges, if you like. For example, in order to get models ‘talking’ to one another, adequate protocols for the transference of data and scaleability will need to be established, and then things like uncertainty analysis for these integrated models will need to be addressed. Further issues exist relating to human behaviour and logistics (e.g. MACSUR is a large project with many members from all over Europe, with substantial distances between many of it’s members).The term “Cloud” is very ambiguous, and Cloud Computing covers a huge range of services, and a number of innovative tools exist which can make international collaborative research more effective. Two examples (already implemented on the MACSUR website) are: a discussion forum (where project members can create topics, make or reply to posts, and upload documents) and a complete surveying platform (to provide an un-restricted and fully featured survey platform for MACSUR members’ information gathering needs.) No Label

Abstract: This deliverable focuses on the collation, screening, and consolidation of data for selected grassland sites in Europe and peri-Mediterranean regions. No Label

Abstract: To effectively communicate and disseminate the outputs of CropM and MACSUR per se at national, EU and global levels it is essential that we engage with the appropriate audiences and tailor the level and depth of the outputs accordingly. Consequently for the range of stakeholder outputs there will be a staged period of engagement with stakeholders in the policy and industry sectors (and where appropriate others). This will be driven by the strategies outlined in WP6.3-4 (Strategies for engagement on adaptation and mitigation with national and EU policy makers and with the agro-food chain sector). Once enacted and the feedback collated these response will facilitate the co-construction of an appropriate dissemination strategy. Aligned with this will be a series of standardised dissemination routes that will deliver globally but will then often be followed up by a more local (national) output/dissemination activity tailored for that region. The dissemination strategy will include but will not be limited to multiple and various methods of information distribution including Scientific papers and presentations. Agricultural sector/industry focused talks/presentations and workshops. A fully developed and interactive website (part of the larger project). Social Media Podcasts and WebTV with key actors in the crop and climate change arena including scientists, and stakeholders (policy, agriculturalists and industry representatives). Integration with the cognate EU platforms, e.g. EIP Agricultural and Sustainability, EIT-KIC Climate Change(ETP), the appropriate ETPs (http://cordis.europa.eu/technology-platforms/individual_en.html) and major EU projects such as SUSFOOD etc. No Label