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Akademický článek

A multi-sourced assessment of the spatiotemporal dynamics of soil moisture in the MARINE flash flood model

Autor: J. Eeckman, H. Roux, A. Douinot, B. Bonan, C. Albergel

Publikováno v: Hydrology and Earth System Sciences, Vol 25, Pp 1425-1446 (2021)

The MARINE (Model of Anticipation of Runoff and INundations for Extreme events) hydrological model is a distributed model dedicated to flash flood simulation. Recent developments of the MARINE model are explored in this work. On one hand, transfers o

Externí odkaz: https://doaj.org/article/d6ad83a2e4034940af35bbc58ea7e058

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Akademický článek

The heavy precipitation event of 14–15 October 2018 in the Aude catchment: a meteorological study based on operational numerical weather prediction systems and standard and personal observations

Autor: O. Caumont, M. Mandement, F. Bouttier, J. Eeckman, C. Lebeaupin Brossier, A. Lovat, O. Nuissier, O. Laurantin

Publikováno v: Natural Hazards and Earth System Sciences, Vol 21, Pp 1135-1157 (2021)

The case of the heavy precipitation event on 14 and 15 October 2018 which has led to severe flash flooding in the Aude watershed in south-western France is studied from a meteorological point of view using deterministic and probabilistic numerical we

Externí odkaz: https://doaj.org/article/c00c08ab2b7a40788e0a08b2610ab795

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Akademický článek

Providing a non-deterministic representation of spatial variability of precipitation in the Everest region

Autor: J. Eeckman, P. Chevallier, A. Boone, L. Neppel, A. De Rouw, F. Delclaux, D. Koirala

Publikováno v: Hydrology and Earth System Sciences, Vol 21, Pp 4879-4893 (2017)

This paper provides a new representation of the effect of altitude on precipitation that represents spatial and temporal variability in precipitation in the Everest region. Exclusive observation data are used to infer a piecewise linear function f

Externí odkaz: https://doaj.org/article/212c9eed70ab4b83a99e6f82dd44d96f

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The heavy precipitation event of 14–15 October 2018 in the Aude catchment: A meteorological study based on operational numerical weather prediction systems and standard and personal observations

Autor: O. Caumont, M. Mandement, F. Bouttier, J. Eeckman, C. Lebeaupin Brossier, A. Lovat, O. Nuissier, O. Laurantin

Publikováno v: Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences, 2021, 21 (3), pp.1135-1157. ⟨10.5194/nhess-21-1135-2021⟩
Natural Hazards and Earth System Sciences, Copernicus Publ. / European Geosciences Union, 2021, 21 (3), pp.1135-1157. ⟨10.5194/nhess-21-1135-2021⟩
Natural Hazards and Earth System Sciences, Vol 21, Pp 1135-1157 (2021)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afa03d7c2d3e43c4b7f5b82be287d341
https://nhess.copernicus.org/preprints/nhess-2020-310/

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