User-Centric Climate Dashboards for Metrics Evaluation and Temperature Scenario Exploration

Climate decision-making increasingly requires tools that can translate complex climate science into easy-to-use information. We develop two open-source, complementary interactive dashboards, designed to support climate understanding across metrics-based assessment and analysis of temperature trajectories under a range of scenarios. The Climate Metrics Decision Dashboard (CMDD) provides a comprehensive yet simple framework for exploring a wide range of climate metrics spanning agriculture, aviation, precipitation, economy, and sea level rise. CMDD is designed to support informed interpretation of diverse metrics without requiring deep domain expertise. It’s a smart guide to navigating the world of climate metrics. It helps researchers, policymakers, and practitioners identify which metric best fits their goals, whether it’s tracking emissions, comparing warming impacts, or assessing progress toward sustainability targets. Instead of getting lost in technical jargon, CMDD helps to learn, compare, and choose all in one place. The dashboard includes thorough descriptions of metrics, guided workflows, recommendations, and accounting of both short-lived and long-lived climate pollutants, enabling users to assess their implications for climate-relevant outcomes.

Taking a similar approach, the FaIR Climate Explorer offers an accessible interface to the FaIR2.2 simple climate model, allowing users to simulate global temperature responses under different Shared Socioeconomic Pathway (SSP) scenarios. By abstracting model complexity behind an intuitive dashboard, the tool enables users with no prior familiarity with FaIR to explore scenario-driven temperature outcomes. Together, these dashboards demonstrate how interactive, user-centric tools can lower barriers to climate analysis while supporting both metrics-based evaluation and scenario-driven temperature exploration. They highlight the potential of dashboard-based approaches to enhance transparency, usability, and decision relevance in climate science and policy contexts.