Articles | Volume 15, issue 12
https://doi.org/10.5194/nhess-15-2653-2015
https://doi.org/10.5194/nhess-15-2653-2015
Research article
 | 
10 Dec 2015
Research article |  | 10 Dec 2015

Evaluation of a compound distribution based on weather pattern subsampling for extreme rainfall in Norway

J. Blanchet, J. Touati, D. Lawrence, F. Garavaglia, and E. Paquet

Related authors

Projection of snowfall extremes in the French Alps as a function of elevation and global warming level
Erwan Le Roux, Guillaume Evin, Raphaëlle Samacoïts, Nicolas Eckert, Juliette Blanchet, and Samuel Morin
The Cryosphere, 17, 4691–4704, https://doi.org/10.5194/tc-17-4691-2023,https://doi.org/10.5194/tc-17-4691-2023, 2023
Short summary
Linking torrential events in the Northern French Alps to regional and local driving atmospheric conditions
Juliette Blanchet, Alix Reverdy, Antoine Blanc, Jean-Dominique Creutin, Périne Kiennemann, and Guillaume Evin
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-197,https://doi.org/10.5194/hess-2023-197, 2023
Revised manuscript under review for HESS
Short summary
Linking torrential events in the Northern French Alps to regional and local atmospheric conditions
Juliette Blanchet, Alix Reverdy, Antoine Blanc, Jean-Dominique Creutin, Périne Kiennemann, and Guillaume Evin
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-276,https://doi.org/10.5194/nhess-2022-276, 2023
Manuscript not accepted for further review
Short summary
A non-stationary extreme-value approach for climate projection ensembles: application to snow loads in the French Alps
Erwan Le Roux, Guillaume Evin, Nicolas Eckert, Juliette Blanchet, and Samuel Morin
Earth Syst. Dynam., 13, 1059–1075, https://doi.org/10.5194/esd-13-1059-2022,https://doi.org/10.5194/esd-13-1059-2022, 2022
Short summary
Performance-based comparison of regionalization methods to improve the at-site estimates of daily precipitation
Abubakar Haruna, Juliette Blanchet, and Anne-Catherine Favre
Hydrol. Earth Syst. Sci., 26, 2797–2811, https://doi.org/10.5194/hess-26-2797-2022,https://doi.org/10.5194/hess-26-2797-2022, 2022
Short summary

Related subject area

Atmospheric, Meteorological and Climatological Hazards
Evaluating pySTEPS optical flow algorithms for convection nowcasting over the Maritime Continent using satellite data
Joseph Smith, Cathryn Birch, John Marsham, Simon Peatman, Massimo Bollasina, and George Pankiewicz
Nat. Hazards Earth Syst. Sci., 24, 567–582, https://doi.org/10.5194/nhess-24-567-2024,https://doi.org/10.5194/nhess-24-567-2024, 2024
Short summary
Climate change impacts on regional fire weather in heterogeneous landscapes of central Europe
Julia Miller, Andrea Böhnisch, Ralf Ludwig, and Manuela I. Brunner
Nat. Hazards Earth Syst. Sci., 24, 411–428, https://doi.org/10.5194/nhess-24-411-2024,https://doi.org/10.5194/nhess-24-411-2024, 2024
Short summary
High-resolution projections of ambient heat for major European cities using different heat metrics
Clemens Schwingshackl, Anne Sophie Daloz, Carley Iles, Kristin Aunan, and Jana Sillmann
Nat. Hazards Earth Syst. Sci., 24, 331–354, https://doi.org/10.5194/nhess-24-331-2024,https://doi.org/10.5194/nhess-24-331-2024, 2024
Short summary
Heat wave characteristics: evaluation of regional climate model performances for Germany
Dragan Petrovic, Benjamin Fersch, and Harald Kunstmann
Nat. Hazards Earth Syst. Sci., 24, 265–289, https://doi.org/10.5194/nhess-24-265-2024,https://doi.org/10.5194/nhess-24-265-2024, 2024
Short summary
Rain-on-snow responses to warmer Pyrenees: a sensitivity analysis using a physically based snow hydrological model
Josep Bonsoms, Juan I. López-Moreno, Esteban Alonso-González, César Deschamps-Berger, and Marc Oliva
Nat. Hazards Earth Syst. Sci., 24, 245–264, https://doi.org/10.5194/nhess-24-245-2024,https://doi.org/10.5194/nhess-24-245-2024, 2024
Short summary

Cited articles

Brigode, P., Bernardara, P., Paquet, E., Gailhard, J., Garavaglia, F., Merz, R., Mićović, Z., Lawrence, D., and Ribstein, P.: Sensitivity analysis of SCHADEX extreme flood estimations to observed hydrometeorological variability, Water Resour. Res., 50, 353–370, https://doi.org/10.1002/2013WR013687, 2014.
Coles, S.: An introduction to statistical modeling of extreme values, Springer Series in Statistics, Springer-Verlag, London, 208 pp., 2001.
Dyrrdal, A. V., Skaugen, T., Stordal, F., and Førland, E. J.: Estimating extreme areal precipitation in Norway from a gridded dataset, Hydrolog. Sci. J., https://doi.org/10.1080/02626667.2014.947289, 2014.
Ferro, C. A. T. and Segers, J.: Inference for Clusters of Extreme Values, J. Roy. Stat. Soc. B, 65, 545–556, 2003.
Fleig, A.: Scientific Report of the Short Term Scientific Mission - Anne Fleig visiting Électricité de France, Grenoble, Tech. rep., NVE, available at: http://www.costfloodfreq.eu/component/k2/item/download/6_8e45d035c2e09839e0c43e63ed0cdc81, 2011.
Download
Short summary
Simulation methods for design flood analyses require estimates of extreme precipitation for simulating maximum discharges. This article evaluates the MEWP model for extreme precipitation, a compound model based on weather-pattern classification, seasonal splitting and exponential distributions, for its suitability for use in Norway. It shows the clear benefit obtained from seasonal and weather-pattern-based subsampling for extreme value estimation.
Altmetrics
Final-revised paper
Preprint