Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game

Volonté de payer pour une prévision probabiliste de crues : un jeu de prise de décision basée sur le risque

Arnal, L. ; Ramos, M.H. ; Coughlan de Perez, E. ; Cloke, H.L. ; Stephens, E. ; Wetterhall, F. ; Van Andel, S.J. ; Pappenberger, F.

Type de document
Article de revue scientifique à comité de lecture
Langue
Anglais
Affiliation de l'auteur
UNIVERSITY OF READING GBR ; IRSTEA ANTONY UR HBAN FRA ; RED CROSS RED CRESCENT CLIMATE CENTRE THE HAGUE NLD ; UNIVERSITY OF READING GBR ; UNIVERSITY OF READING GBR ; ECMWF EUROPEAN CENTRE OF MEDIUM RANGE WEATHER FORECASTS GBR ; UNESCO-IHE INSTITUTE FOR WATER EDUCATION DELFT NLD ; ECMWF EUROPEAN CENTRE OF MEDIUM RANGE WEATHER FORECASTS GBR
Année
2016
Résumé / Abstract
Probabilistic hydro-meteorological forecasts have over the last decades been used more frequently to communicate forecast uncertainty. This uncertainty is twofold, as it constitutes both an added value and a challenge for the forecaster and the user of the forecasts. Many authors have demonstrated the added (economic) value of probabilistic over deterministic forecasts across the water sector (e.g. flood protection, hydroelectric power management and navigation). However, the richness of the information is also a source of challenges for operational uses, due partially to the difficulty in transforming the probability of occurrence of an event into a binary decision. This paper presents the results of a risk-based decision-making game on the topic of flood protection mitigation, called “How much are you prepared to pay for a forecast?”. The game was played at several workshops in 2015, which were attended by operational forecasters and academics working in the field of hydrometeorology. The aim of this game was to better understand the role of probabilistic forecasts in decision-making processes and their perceived value by decision-makers. Based on the participants’ willingness-to-pay for a forecast, the results of the game show that the value (or the usefulness) of a forecast depends on several factors, including the way users perceive the quality of their forecasts and link it to the perception of their own performances as decision-makers.
Source
Hydrology and Earth System Sciences, vol. 20, p. 3109 - 3128

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