Climate services are instrumental in translating local knowledge and scientific insights into practical applications, empowering communities at multiple scales to efficiently tackle climate change challenges.

The paradigm of Essential Variables (EVs) - ECVs, EOVs, EBVs - provides a data-driven foundation for global environmental monitoring (GCOS, GEO, UN SDGs). Yet, their full potential is hampered by interoperability gaps, fragmented governance, and siloed infrastructures, limiting integrated use and translation into local action.

Conversely, local demand for actionable information is growing. Earth Observation data, often as Analysis-Ready Data (ARD), must be transformed into locally relevant, co-created Action-Ready Information (ARI) for climate solutions. This requires integrating global EVs with local data and knowledge.

This session bridges these fronts. We explore all aspects of climate service development from the co-creation of climate services that emphasize inclusive and novel methodologies and the integration of multiple knowledge systems, through to the development of usable, equitable and impactful solutions for multiple stakeholder groups a focus on the use of technical, infrastructural, and socio-technical advancements to evolve EVs into a truly interoperable, global common language and ensure their effective translation for local decision-making. We welcome contributions on:

- Interoperability Foundations: Semantic frameworks (iADOPT, SOSA/SSN), FAIR principles, and lessons from research infrastructures (ENVRI, CRDCs) aligning EVs across domains and global programmes.
- From ARD to ARI: Case studies on transforming EV-based products into local insights via co-creation, integrating satellite data with in-situ, citizen science, and indigenous knowledge.
- Cross-Scale Infrastructure: Architectures and platforms (e.g., digital twins) enabling seamless data flow from global systems to local applications.
- Policy and Capacity: How interoperable EVs strengthen global policy (IPCC, SDGs) and how local insights inform action, including funding, capacity building, and governance models.

We invite scientists, data engineers, social scientists, and policymakers to connect the "essential" with the "actionable", forging a coherent path from global observation to local solution.