ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2015
Communicating uncertainty in seasonal and interannual climate forecasts in Europe.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Lessons from integrated seasonal forecast-crop modelling in Africa: A systematic review.Open life sciences · 2022Review
- Informing Public Perceptions About Climate Change: A 'Mental Models' Approach.Science and engineering ethics · 2017Article
- Making better decisions in groups.Royal Society open science · 2017Review
- Communicating infectious disease prevalence through graphics: Results from an international survey.Vaccine · 2017Article
- Uncertainty as knowledge.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2015Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Across Europe, organizations in different sectors are sensitive to climate variability and change, at a range of temporal scales from the seasonal to the interannual to the multi-decadal. Climate forecast providers face the challenge of communicating the uncertainty inherent in these forecasts to these decision-makers in a way that is transparent, understandable and does not lead to a false sense of certainty. This article reports the findings of a user-needs survey, conducted with 50 representatives of organizations in Europe from a variety of sectors (e.g. water management, forestry, energy, tourism, health) interested in seasonal and interannual climate forecasts. We find that while many participating organizations perform their own 'in house' risk analysis most require some form of processing and interpretation by forecast providers. However, we also find that while users tend to perceive seasonal and interannual forecasts to be useful, they often find them difficult to understand, highlighting the need for communication formats suitable for both expert and non-expert users. In addition, our results show that people tend to prefer familiar formats for receiving information about uncertainty. The implications of these findings for both the providers and users of climate information are discussed.
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