Zobrazeno 1 - 10
of 188
pro vyhledávání: '"A. Baulon"'
Autor:
Baulon, Lisa, Fossa, Manuel, Massei, Nicolas, Flipo, Nicolas, Gallois, Nicolas, Fournier, Matthieu, Dieppois, Bastien, Danaila, Luminita, Allier, Delphine, Bessiere, Hélène
Publikováno v:
In Science of the Total Environment 20 December 2024 957
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 2829-2854 (2022)
Groundwater levels (GWLs) very often fluctuate over a wide range of timescales (intra-annual, annual, multi-annual, and decadal). In many instances, aquifers act as low-pass filters, dampening the high-frequency variability and amplifying low-frequen
Externí odkaz:
https://doaj.org/article/986cd6047315484eaf92b4916e620fa9
Autor:
Baulon, Lisa, Allier, Delphine, Massei, Nicolas, Bessiere, Hélène, Fournier, Matthieu, Bault, Violaine
Publikováno v:
In Journal of Hydrology March 2022 606
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 20, Pp 3225-3243 (2020)
This research examines the nonstationary dynamics of extreme surges along the English Channel coasts and seeks to make their connection to the climate patterns at different timescales by the use of a detailed spectral analysis in order to gain insigh
Externí odkaz:
https://doaj.org/article/e6c3c515226c4678a5f9810c230fb5e4
Autor:
Baulon, Jean-Philippe
Publikováno v:
Guerres mondiales et conflits contemporains, 2018 Jul 01(271), 25-44.
Externí odkaz:
https://www.jstor.org/stable/44955963
Autor:
Baulon, Jean-Philippe
Publikováno v:
Guerres mondiales et conflits contemporains, 2018 Jul 01(271), 3-8.
Externí odkaz:
https://www.jstor.org/stable/44955961
Publikováno v:
Atmosphere, Vol 13, Iss 5, p 850 (2022)
In this article, we investigate the dependence of extreme surges on the North Atlantic weather regime variability across different timescales using the North Atlantic Oscillation (NAO) and Scandinavian blocking (SCAND) indices. The analysis was done
Externí odkaz:
https://doaj.org/article/5c3781c499cf49e8ae4cc82ef696939d
Akademický článek
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Autor:
Sivarama Krishna Reddy Chidepudi, Nicolas Massei, Abderrahim Jardani, Abel Henriot, Delphine Allier, Lisa Baulon
The development of groundwater levels (GWL) simulations, based on deep learning (DL) models, is gaining traction due to their success in a wide range of hydrological applications. GWL Simulations allow generating reconstructions to be used for explor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7723244df6dbaa4a8d109d508fac4c9
https://doi.org/10.22541/essoar.167397479.92071086/v1
https://doi.org/10.22541/essoar.167397479.92071086/v1
Groundwater levels (GWLs) very often fluctuate over a wide range of timescales (intra-annual, annual, multi-annual, and decadal). In many instances, aquifers act as low-pass filters, dampening the high-frequency variability and amplifying low-frequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e95d5fbd4d5135f7990ae0ad91833c7e
https://hess.copernicus.org/articles/26/2829/2022/
https://hess.copernicus.org/articles/26/2829/2022/