Articles | Volume 25, issue 12
https://doi.org/10.5194/hess-25-6465-2021
https://doi.org/10.5194/hess-25-6465-2021
Research article
 | 
20 Dec 2021
Research article |  | 20 Dec 2021

Extreme precipitation events in the Mediterranean area: contrasting two different models for moisture source identification

Sara Cloux, Daniel Garaboa-Paz, Damián Insua-Costa, Gonzalo Miguez-Macho, and Vicente Pérez-Muñuzuri

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Cited articles

EMDAT.database: https://public.emdat.be/data, last access: 15 December 2021. a
Brioude, J., Arnold, D., Stohl, A., Cassiani, M., Morton, D., Seibert, P., Angevine, W., Evan, S., Dingwell, A., Fast, J. D., Easter, R. C., Pisso, I., Burkhart, J., and Wotawa, G.: The Lagrangian particle dispersion model FLEXPART-WRF version 3.1, Geosci. Model Dev., 6, 1889–1904, https://doi.org/10.5194/gmd-6-1889-2013, 2013. a, b
Buzzi, A., Tartaglione, N., and Malguzzi, P.: Numerical simulations of the 1994 piedmont flood: Role of orography and moist processes, Mon. Weather Rev., 126, 2369–2383, https://doi.org/10.1175/1520-0493(1998)126<2369:NSOTPF>2.0.CO;2, 1998. a
Ciric, D., Nieto, R., Losada, L., Drumond, A., and Gimeno, L.: The mediterranean moisture contribution to climatological and extreme monthly continental precipitation, Water, 10, 519, https://doi.org/10.3390/w10040519, 2018. a
Dayan, U., Nissen, K., and Ulbrich, U.: Review Article: Atmospheric conditions inducing extreme precipitation over the eastern and western Mediterranean, Nat. Hazards Earth Syst. Sci., 15, 2525–2544, https://doi.org/10.5194/nhess-15-2525-2015, 2015. a
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We examine the performance of a widely used Lagrangian method for moisture tracking by comparing it with a highly accurate Eulerian tool, both operating on the same WRF atmospheric model fields. Although the Lagrangian approach is very useful for a qualitative analysis of moisture sources, it has important limitations in quantifying the contribution of individual sources to precipitation. These drawbacks should be considered by other authors in the future so as to not draw erroneous conclusions.