Articles | Volume 24, issue 8
https://doi.org/10.5194/nhess-24-2793-2024
https://doi.org/10.5194/nhess-24-2793-2024
Research article
 | 
22 Aug 2024
Research article |  | 22 Aug 2024

Probabilistic short-range forecasts of high-precipitation events: optimal decision thresholds and predictability limits

François Bouttier and Hugo Marchal

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Cited articles

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Alfieri, L. and Thielen, J.: A European precipitation index for extreme rain-storm and flash flood early warning, Meteorol. Appl., 22, 3–13, https://doi.org/10.1002/met.1328, 2012. a
Amengual, A., Hermoso, A., Carrió, D. S., and Homar, V.: The sequence of heavy precipitation and flash flooding of 12 and 13 September 2019 in eastern Spain. Part II: A hydro-meteorological predictability analysis based on convection-permitting ensemble strategies, J. Hydrometeorol., 22, 2153–2177, https://doi.org/10.1175/jhm-d-20-0181.1, 2021. a, b
Arnaud, P., Lavabre, J., Sol, B., and Desouches, C.: Regionalization of an hourly rainfall generating model over metropolitan France for flood hazard estimation, Hydrolog. Sci. J., 53:1, 34–47, https://doi.org/10.1623/hysj.53.1.34, 2008. a
Auger, L., Dupont, O., Hagelin, S., Brousseau, P., and Brovelli, P.: AROME-NWC: A new nowcasting tool based on an operational mesoscale forecasting system, Q. J. Roy. Meteor. Soc., 141, 1603–1611, https://doi.org/10.1002/qj.2463, 2015. a, b
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Short summary
Weather prediction uncertainties can be described as sets of possible scenarios – a technique called ensemble prediction. Our machine learning technique translates them into more easily interpretable scenarios for various users, balancing the detection of high precipitation with false alarms. Key parameters are precipitation intensity and space and time scales of interest. We show that the approach can be used to facilitate warnings of extreme precipitation.
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