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In November and December 2020 the IS-ENES3 consortium organized an Autumn School on ‘Climate data use for impact assessments’. In October 2020, 20 participants were selected from a total of 74 applicants. The participants have valued the course highly and especially the work on the case studies, including the support from lecturers with those case studies. All lectures were seen as useful or very useful. The more practical lectures were valued the highest: how to use a data platform; what steps to take in a case study, how to estimate a climate impact with the data and tools that are available, even when the data are not ideal. Some participants would have preferred a live school, others the online version. Online meant a run time of six weeks, so they could spend more time on the case studies. This report evaluates the course and draws lessons for the coming Spring and Summer schools to be organized in 2021.

From 2008 to 2012, Knowledge for Climate contributed to the development of the Joint Programming Initiative “Connecting Climate Knowledge for Europe” (JPI Climate). In 2010, a proposal was developed and accepted, followed in 2011 by the development and adoption of a governance structure and a stra-tegic research agenda. The Initiative is now supported by 13 member and 2 ob-server countries as well as the European Commission and 4 other observer in-stitutions. In 2012, JPI Climate was formally launched in Brussels, financial sup-port was obtained for the Commission in the form of a Coordination and Sup-port Action (CSA), new steps were taken towards the alignment of climate re-search programmes in the participating countries, and first steps were taken towards the development of a first joint call, planned to be launched in 2013. This report summarizes the Dutch involvement in the programme in 2012, in-cluding the organization of meetings of the Governing and Transdisciplinary Advisory Boards, workshops and chairmanship of Working Group 4 on Decision-Support Methods and Tools. Because of strongly decreased priority of climate research in The Netherlands, no successful connection was yet made with NWO top sector research policy or other Dutch funding sources. The report discusses the future plans and collaborations.

Het programma Wetenschappelijke Assessment en Beleidsanalyse Klimaatverandering in opdracht van het ministerie van VROM heeft tot doel: • Het bijeenbrengen en evalueren van relevante wetenschappelijke informatie ten behoeve van beleidsontwikkeling en besluitvorming op het terrein van klimaatverandering; • Het analyseren van voornemens en besluiten in het kader van de internationale klimaatonderhandelingen op hun consequenties

Long-term explorations serve to widen the perspectives of decision makers. Biophysical and technical possibilities and constraints are confronted with the valuedriven objectives of stakeholders in Multiple Goal Linear Programming (MGLP) models. Two methodological aspects of long-term explorations are elaborated in this thesis: uncertainty in agro-ecological coefficients and temporal aspects of land use. The effects of these aspects on generated land use scenarios are studied using data from the Northern Atlantic Zone of Costa Rica (NAZ).Uncertainties in agro-ecological coefficients concerning nutrients and biocides were quantified. Only uncertainties caused by lack of knowledge of underlying biophysical processes or lack of data for quantification were considered. "Average", "pessimistic" and "optimistic" estimations of coefficients were generated, based on different perceptions of the influence of environmental factors. The estimations of the coefficients for various production activities are strongly correlated owing to the assumption of "best technical means" (i.e. inputs are used with the highest technical efficiency according to available knowledge and techniques). These coefficients were used in the single-period MGLP-model that was constructed for the NAZ. With the help of sensitivity analyses the effect of uncertainties on land use scenarios was determined for five tentative policy views, representing different perceptions of sustainability. It is concluded that, in long-term explorations, uncertainties in agroecological coefficients strongly affect the objective function values. However, they hardly affect the optimal land use allocation, because the ranking of production activities for the agro-ecological coefficients hardly changes when including uncertainties.In long-term explorations the following temporal aspects are relevant: 1. Growth and ageing of crops and livestock, 2. Fluctuations in coefficients caused by variation in weather conditions, 3. Interactions in time. After an inventory of possibilities and limitations to describe these temporal aspects in LP-models, a multi-period version of the single-period model was constructed. In theory, all temporal aspects can be described in multi-period MGLP-models, although location-bound temporal interactions pose serious problems owing to the limitations of the LP-technique. In most cases, the relevant types of temporal aspects can also be included in singleperiod models with the help of predefined cropping sequences and additional coefficients and variables. It is discussed, that in long-term explorations the use of a multi-period model may have added value only if large differences in coefficients between periods and growth stages occur and if strong bounds are put on fluctuations over periods.Based on the land use scenarios generated with the single-period and multi-period model it is concluded that there is considerable scope for policy in the NAZ. The differences between land use scenarios for the five policy views are large, regardless of the effects of the uncertainties in agro-ecological coefficients and the explicit inclusion of temporal aspects. By revealing the consequences and possibilities under particular land use objectives and constraints, this long-term exploration may help to structure and organize the discussion on desires for the future in the NAZ.