As can be concluded from the above Table, the most used GCM outputs were the Canadian CCCMa (4 times) and HADCM3 (3 times). The ECHAM and CSIRO GCM outputs were used in one assessment, where a GCM output comparison was performed. The LARS-WG appeared in 8 of the AGRIDEMA pilot assessment, which makes this weather generator as the most frequently used climate-tool in the framework of AGRIDEMA. According to Wilby and Wigley (2001), LARS-WG is one of the most used weather generators. The AGRIDEMA results confirm this conclusion. The Met&Roll weather generator was found in 3 assessments, including one comparison with LARS-WG. The Regional ReGCM3 model was used in 2 assessments and the MAGICC model in one.

Regarding the crop models considered in the Pilot assessments, the Wageningen model WOFOST was the most used, but in its SWAP (3 times) and PERUN (3 times) versions. DSSAT models were employed in 4 Pilot Assessments, while CROPSYST was used 3 times, ROIMPEL was considered 2 times and SIRIUS was used in one assessment, which performed a model comparison with PERUN. The frequency of using crop models in the AGRIDEMA Pilot assessments is similar to that found in climate-change impact assessments all over the world, reported by Tubiello and Ewert (2002) as well as in Europe, as pointed out by Alexandrov (2002).

An important AGRIDEMA conclusion is that DSSAT, SWAP-WOFOST and CROPSYST are the most relevant crop-growth simulation models that are being used in Europe for climate-change risk assessments. Furthermore, SWAP has been the most used agrohydrological model within the AGRIDEMA Pilot assessments.

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