2019
DOI: 10.1002/qj.3482
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Promoting the use of probabilistic weather forecasts through a dialogue between scientists, developers and end‐users

Abstract: Today's ensemble weather prediction systems provide reliable and sharp probabilistic forecasts-yet they are still rarely communicated to outside users because of two main worries: the difficulty of communicating probabilities to lay audiences and their presumed reluctance to use probabilistic forecasts. To bridge the gap between the forecasts available and their use in day-to-day decision making, we encourage scientists, developers, and end-users to engage in interdisciplinary collaborations. Here, we discuss … Show more

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Cited by 60 publications
(68 citation statements)
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“…Those two applications now deliver post-processed fields of higher quality than raw NWP fields, and will be used in the future Meteo-France automatic production chain, which is currently in its implementation phase. Post-processed fields are also of higher predictive value, and can lead to great benefits for (trained) human forecasters provided that the dialog between NWP 365 scientists, statisticians and users be strengthened (Fundel et al, 2019). OM and MT wrote the publication, each rereading the other's part.…”
Section: Resultsmentioning
confidence: 99%
“…Those two applications now deliver post-processed fields of higher quality than raw NWP fields, and will be used in the future Meteo-France automatic production chain, which is currently in its implementation phase. Post-processed fields are also of higher predictive value, and can lead to great benefits for (trained) human forecasters provided that the dialog between NWP 365 scientists, statisticians and users be strengthened (Fundel et al, 2019). OM and MT wrote the publication, each rereading the other's part.…”
Section: Resultsmentioning
confidence: 99%
“…On the second topic, Fundel et al . () discusses the difficulty to communicate probabilities to lay audiences and the user's prevalent resistance to probability forecasts, and reports the experience of the German weather service (DWD) in introducing probabilistic forecast products to three exemplary user groups.…”
Section: Discussionmentioning
confidence: 99%
“…The main concern is to deal with the intrinsic uncertainty of medium-range weather forecasts. To properly communicate uncertainty, it is recommended that quantitative information be encoded in a way that fosters accurate decoding and prevents deterministic misinterpretations of uncertainty and the level of detail is chosen according to the forecast's skill [22]. Therefore, recognized good practices recommend translating quantitative values into categories through a participatory approach after an initial stage of testing and performance evaluation in the specific context.…”
Section: Introductionmentioning
confidence: 99%