Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.

ES1.7

Session cancelled: Preparing for atmospheric-driven hazards: new challenges for data collection and interpretation
Convener: Seth Jonas  | Co-Conveners: Jason Gallo , Rebecca Hemingway 

Due to the low number of submissions this session has been cancelled; abstracts have been transferred to OSA1.8.

This session is intended to explore the role of integrated data and information products in preparing for atmospheric-driven hazards. The emphasis will be on products and tools derived from heterogeneous observations (from local to global) which combine multiple, overlapping layers of information.

Hazards here include: storms (tropical cyclones, wind, snow, convective, tornados), flooding and inundation, heat and drought, fire, and space weather, among others. For example, planners increasingly rely on information products, such as vulnerability threat maps or hydrological prediction tools that integrate geophysical and social, economic, demographic, and infrastructure data to prepare for hazards such as storm surge, inundation, or wild fires. Increased variability of hazards complicates local, regional, and national planning and preparedness, but therefore makes reliable prediction and projection products and tools more essential. The development of these products and tools requires the assimilation, integration, and inter-calibration of heterogeneous datasets and modelled output to derive consistent and accurate information products that can be applied to decisions. This includes embedding metadata documentation with released information products to ensure that integration algorithms and methods are highlighted and the provenance and quality of underlying datasets and modelled output are known.

Space-based, airborne, terrestrial, and marine observations, both remotely-sensed and in situ, are key to informing the numerical prediction models, forecasts, and benchmarks used in planning products and tools in conjunction with social, economic, demographic, and infrastructural data. The heterogeneity of these data is both a strength and challenge: their collection and use must be coordinated, calibrated, and reconciled in order to provide reliable data and forecasts for use in hazard planning. These integrated data and information products are critical to inform governments, city planners, and the public, and aid in local to trans-national preparedness.

We encourage presentations that address
• the challenges and successes of integrated hazard planning products and tools to aid local decisions and actions,
• the interplay between research and operational data,
• the interplay between geophysical and other forms of relevant data,
• the question how known observing gaps affect prediction and projection tools for hazard planning, or
• the accuracy of methods for integrating and documenting heterogeneous data and modelled output.

The session also welcomes presentations that include the integration of novel data sets, such as social media and crowd sourcing, to enhance hazard planning information products and tools.