High Impact Weather - Impact-based forecast and warning 2022 workshop data
Description
The qualitative data describes people's experiences relating to challenges and solutions for developing and implementing impact-based forecasts and warnings, particularly for weather. Over 350 people from around the world registered for the three virtual workshops, held in 2022. The workshop sessions discussed challenges and solutions, and measures of successfulness. The research team found that challenges relate to three overarching themes: 1) data, methods and value, 2) connecting knowledge, and 3) stewardship. Within these are ten sub-themes. Examples of key research gaps are to develop evaluation methods to explore the value of multi-hazard IBFW, in terms of collating data at appropriate scales, and including avoided losses, behavioural responses, and unconventional observations. We need to explore the value of producing quantitative risk model-based approaches in comparison to cheaper and quicker qualitative approaches, as well as of dynamic exposure and vulnerability data sets, and tailored warnings. We must investigate how to effectively communicate uncertainty in IBFW, and explore the governance of underpinning data. See Potter et al. (submitted to IJDRR) for further details.
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Steps to reproduce
This qualitative data was collected during three virtual workshops, held in 2022 on 25 October, 1 November, and 9 November. Data were entered by participants from around the world on an interactive whiteboard Mural (Mural.co) as post-it notes. Each workshop had a different theme - 1) Impact-based warnings: Underpinning data and model integration, 2) People-centred impact-based warnings, and 3) Multi-hazard impact-based warnings. The research team coded the data using thematic analysis (Braun and Clarke, 2006) within Microsoft Excel. See Potter et al. (submitted, International Journal for Disaster Risk Reduction) for further details.