Topic A- Advanced co-development with users, supported in cash by 13 national Research Funding Organisations (RFOs)

This Topic is user focused. It requires user driven development, translation and transfer of climate and related knowledge, as well as guidance on the use of such knowledge by public and private bodies and other decision-makers, including researchers in a facilitative manner. The overall objective is to improve user satisfaction with and adoption of CS by researching, advancing, and assessing of CS (as useful tools for decision-making in public and private sectors), and enhancing co-development and communication with end-users.

Climate Service development calls for transdisciplinary project proposals where value for users shall be demonstrated, by direct involvement of stakeholders/users throughout, starting from the initial conceptual phase on. CS shall draw on information from multiple disciplines, including climate sciences, Social Sciences and Humanities and Engineering as appropriate. The projects proposals are expected to integrate across the chain of service development, bridging research to delivery of effective CS, including feedback from users into the research.

Tailor-made data, new sets of projections, impact and vulnerability indicators, relevant adaptation options, pathways and assessments, may be part of this Topic as long as they are developed in co-production with users for results in a direct benefit for them. They can address various users´ needs and capabilities to support informed stakeholder decisions and investments, encompassing public, private and community sectors as well as NGOs. Exploration of synergies between adaptation and mitigation are welcome. Proposals may include analysing the stakeholders' needs and preferences and other relevant societal (e.g. governance) aspects, as well as developing practical management tools, guidelines, knowledge bases, that are relevant to stakeholders and decision makers.

Proposals are invited that address one or more of three following topic areas:

A.1: Research in support of the development and deployment of Climate Services

Enhancing the quality and relevance of CS through better governance, of open access, evaluation and quality control of climate information, data and CS providers. This includes the development of criteria for quality and relevance as well as standards, agreed sets of requirements, labelling and a code of conduct for Service Providers (including use limitation and legal aspects). This work should interlink with the WMO Global Framework for CS for widespread adoption of this quality system, as well as the Copernicus Climate Change Service, where quality assurance metrics and processes will be developed.

Assessing the demand and creating new ideas for market settings. This requires research for CS, including research on the CS market and its development, the analysis of commercial and non-commercial approaches, business models, public procurement policies, economic valuation and demand management. These are essential components for a successful market development and management with private and public sector parties. Research can address issues arising from the diversity of CS providers including quality and communication which enable confidence in the CS market. Projects for pure market research as well as short-term demonstrations or pilot applications, however, are not targeted here. They are covered already by the H2020 calls for innovation: SC5-03-2016 and SC5-01-2016-2017.

A.2: Integration and application of Climate Science for decision making

It is asked for integrating climate predictions and/or projections with impact, vulnerability and adaptation research. This comprises integrated assessment and application to decisions making, including e.g. case studies for high impact sectors with an assessment/propagation of uncertainties; understanding of cross-sectoral links; integrated policy and response analysis; integration of observations, models and tools. Contributions to WCRP Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) are encouraged, however only if projects explicitly engage users to assess and improve impact representations with real sectorial data.

Facilitating and /or accelerating decision-making by analysing how CC information affects socio-economic development and impacts on decision-making at different levels (sectoral, spatial, temporal, personal). Understanding how effective CS can increase efficiency and add value.

Support of effective development and implementation of adaptation strategies for countries, regions, cities, neighbourhoods and vulnerable sectors (e.g. energy, ICT, transport, housing, water, agriculture, etc.), including case studies for ‘climate sensitive’ topics for different time horizons, spatial scales and different actors as well as the analysis of various risk framings, institutional settings and decision-making frameworks that affect the process from climate and other data to end-products. Projects that relate CC to other environmental and socio-economic changes, for integrated decision making, are encouraged, in particular to promote win-win decisions for both short-term and long-term policy and societal objectives.

A.3: Research for co-development of advanced Climate Services

Better understanding of user needs and behaviour, in particular understanding vulnerabilities to CC, decision making rationales including approaches to risk assessment, uncertainty and economic analysis (and cost-benefit analysis if appropriate). The proposal should involve a consortium with providers, translators/integrators and end user, e.g. consumers and citizens. Research on the pro-cess of co-creation of knowledge in the domain of CS is welcome. Projects involving Social Sciences and Humanities are encouraged.

Co-development of advanced tools, methods and instruments on how to produce, transfer, communicate and use reliable climate information in order to enhance the capacity of decision-makers to deal with climate uncertainties knowledge (incl. tools for weighing and quantifying different interests and drivers (beside climate also e.g. demography, environment, economy, spatial planning…). Experiments and science-practice labs are encouraged as a test environment for prototyping operational products and services. This can include e.g. visualisation techniques, harmonized language, development of guidance and educational materials for capacity building and improving communication skills and communication tools and methods for socio-economic impact analysis and uncertainty.