Farmers' accuracy interpreting seasonal climate forecast probability

ABSTRACT We explored errors interpreting the seasonal climate forecast (SCF) statement ‘In the next 3 months, the probability of exceeding median rainfall is 30%’ used by the Australian media. Study one comprised 73 farmers and 12 climate staff and (1) developed a five‐item multiple‐choice questionn...

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Veröffentlicht in:International journal of climatology 2014-05, Vol.34 (6), p.2097-2107
Hauptverfasser: Coventry, W. L., Dalgleish, L. I.
Format: Artikel
Sprache:eng
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Zusammenfassung:ABSTRACT We explored errors interpreting the seasonal climate forecast (SCF) statement ‘In the next 3 months, the probability of exceeding median rainfall is 30%’ used by the Australian media. Study one comprised 73 farmers and 12 climate staff and (1) developed a five‐item multiple‐choice questionnaire assessing understanding for the SCF, and (2) assessed errors interpreting the statement. The farmers who incorrectly interpreted the statement (29%) as forecasting a wetter season than normal had a lower understanding of the statement, in contrast to farmers making the correct interpretation (56%) and the climate staff. The statement appeared to be misinterpreted as a specific value of rain that was above the median by 30%, because of (1) difficulty conceptualizing above median rainfall and below median rainfall as distinct events, and (2) the percentage being interpreted as a specific value and not as a notion of chance. Study two, with 72 laypersons, showed more errors and slower responses with statements of probabilities less than 50% (i.e. 30%) than statements of probabilities greater than 50% (i.e. 70%), explained by the positive connotation biases of the event above median rainfall and/or the use of the term probability.
ISSN:0899-8418
1097-0088
DOI:10.1002/joc.3825