For many groups and communities in the world, particularly in the global south, having access to disaster risk information or accurate forecasts or warnings in an intuitive and actionable format is no guarantee. Many countries do not have early warning systems as part of national legislation and regulatory frameworks for emergency response, despite the rising need for effective information systems. 

This session calls for presentations on experiences from around the globe on:

• the inclusion of different types of knowledge in the provision of early warnings, 
• practical examples of how to make early warnings available for vulnerable groups,
• studies on the political and governance implications of risk knowledge,
• research on the socioeconomic benefits of multihazard early warning systems

In the forecasting area, many countries lack the capacity to incorporate an impact-based approach to forecasting and still have challenges in accessing, analyzing and translating prediction model outputs into actionable warning messages. The underlying reasons are multiple, e.g., including data issues, modeling and communication challenges or co-production and knowledge gaps. This session aims to assemble experienced practitioners, researchers and decision makers in this field to report on novel developments, best-practices but also relevant obstacles from their perspective. While for many actors the relevant focus lies on the weather forecasting scale, the outcome for and the experiences from the climate forecasting community on sub-seasonal to seasonal scales become ever more relevant on this matter, e.g., in the realm of anticipatory action. We encourage an integrative, interdisciplinary and internationally-comprehensive exchange with contributions from social science, humanities, and interdisciplinary research related to the following topics:

• Gap analyzes on early warning needs (national, regional)
• Co-production and transdisciplinary approaches to develop impact-based forecasts
• Latest research and developments on statistical and physical weather impact models and the underlying data challenges
• The use of impact forecasts to aid the decision-making process for issuing warnings
• Seamless (impact) forecast activities and challenges from the weather to the (sub-)seasonal forecast scale
• Decision-making under uncertainties - including topics related to forecasting and modelling uncertainties, appropriate strategic responses, and emergent patterns of social vulnerability to hazards
• Integrating citizen science and crowdsourcing observations in weather and impact forecasts
• Interdisciplinary approaches integrating satellite observations, global data processing, forecasting, and analysis systems
• Enhancing equity through the development and implementation of forecast and early warning systems
• Good practices and guidelines for enhanced data access and data interoperability

In this session, we will explore different aspects of the communication, collaboration, cooperation and mutual understanding between the weather and climate services community and different user groups such as the public or the emergency management community (e.g., civil protection, emergency management, firefighting, road or air safety).

This session encourages the sharing of empirical examples from practice as well as theoretical or conceptual contributions around the following aspects of the broader topic:

• Policies, governance and socio-technical aspects that act as barriers or enablers for the dissemination of early warnings,
• Scientific work on social, psychological and organisational factors affecting the understanding and use of weather and climate forecasts and warnings,
• Research or practical examples on how to make information clear and usable regarding data, information and knowledge management in disseminating and communicating extreme weather and risks,
• The role of probabilistic and/or impact forecasting in communicating risk information and extreme weather,
• Engagement of weather services or other intermediaries with the broader emergency management community,
• Insights from best practices from recent events,
• The role of dissemination channels in ensuring reach to at-risk and vulnerable groups and communities.

We invite contributions from social science, humanities, and interdisciplinary research that are concerned with the Preparedness to Respond approach. More specifically, we hope to have a transdisciplinary session in which methods, approaches and best practices are co-designed and shared which address one or more of the topics described below:

• Policy factors that feed into comprehensive risk management policy, laws and strategies;
• Technical factors that enhance local preparedness and response capacities;
• Financial factors that allow for anticipatory action;
• How are local capacities and knowledge integrated in preparedness to respond
• Methods and examples on how to assess if people are prepared and ready to react to warnings
• Practical examples of how response plans are tested and kept up to date
• Monitoring and evaluation of current status of policy, technical and financial factors in relation to implementation of Early Warning mechanisms;
• Partnerships and collaboration at local, regional, national and global levels that facilitate response preparedness.

Within the framework of WMO’s "Early Warnings for All" initiative, this session aims to contribute to a deeper understanding of monitoring and evaluation to enhance the effectiveness of early warning systems, including:

• Understanding the Warning Value Chain: Exploring the intricacies of value chains in weather services, emphasising relationships, processes, inputs, outcomes, and operational contexts of each stakeholder within the warning chain.
• Methods for Analysis: Discussing diverse analytical methods for value chain assessment, revealing different characteristics and contributing to a comprehensive understanding of service design, and proposing options for improvement, considering the sequence of scientific disciplines involved.
• Case Studies: Highlighting the effectiveness of value chain approaches through case studies on high-impact weather events by examining the tools, processes, partnerships, and infrastructure embedded in existing warning chains. Showcasing successes and failures, providing evidence to identify shortfalls and propose investments in new capabilities and partnerships. Both ex-ante studies (for new services) and ex-post studies (for services already in use for at least some time) are welcome.