Evidence map›Paper›PMID 26460115›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2015

Communicating uncertainty in seasonal and interannual climate forecasts in Europe.

Andrea L Taylor, Suraje Dessai, Wändi Bruine de Bruin

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Making better decisions in groups.Royal Society open science · 2017
    Review
  4. Article
  5. Uncertainty as knowledge.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2015
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Andrea L TaylorSustainability Research Institute and ESRC Centre for Climate Change Economics and Policy, School of Earth and Environment, University of Leeds, Leeds, UK Centre for Decision Research, Leeds University Business School, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0002-8949-1234
Suraje DessaiSustainability Research Institute and ESRC Centre for Climate Change Economics and Policy, School of Earth and Environment, University of Leeds, Leeds, UK s.dessai@leeds.ac.uk.ORCID http://orcid.org/0000-0002-7879-9364
Wändi Bruine de BruinCentre for Decision Research, Leeds University Business School, University of Leeds, Leeds, UK Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA.ORCID http://orcid.org/0000-0002-1601-789X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

communicating uncertaintydecadal predictionEuroperisk communicationseasonal climate forecast

Identifiers

PMID26460115
PMCPMC4608030

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.