Convener: Andrea Taylor (University of Leeds, United Kingdom), Isadora Ch. Jiménez (Barcelona Computing Center, Spain)

High-impact weather, climate, water and environment events undermine the resilience of people and the infrastructures they are relying on.  Mitigating and adapting to the impacts of such events requires detailed information on all relevant scales, and tailored predictions for a broad variety of user needs. In 2017, WMO organized the “Science Summit on Seamless Research for Weather, Climate, Water, and Environment”. Besides discussing the technical challenges of breaking down the barriers due to different observing systems, models, time and space scales — it was highlighted the need for extending the concept of seamless prediction to draw on expertise from social sciences together with users’ knowledge and experience. This is essential to improve the relevance, quality and impact of knowledge and services. This session invites presentations addressing the challenges of providing seamless predictions considering the need of users, stakeholders, and decision-makers for information that is continuous and consistent despite the different sources from which the information is generated. The presentations may focus on one or more of the following aspects:

• Latest research and developments on seamless weather and climate information
• Case studies and examples of co-production of tailor-made products with seamless information
• Ways of provision and communication of seamless information
• Perception, behavioral sciences and economic aspects of decision-making based on seamless information
• Seamless predictions for  tackling and reducing risks of natural hazards and disasters
• Challenges of the intersection of scientific research and society’s needs regarding seamless predictions