Výsledky vyhledávání - "François, Colleoni"

Evaluation of hydrological models on small mountainous catchments: impact of the meteorological forcings

Autor: Guillaume Evin, Matthieu Le Lay, Catherine Fouchier, Alexandre Mas, François Colleoni, David Penot, Pierre-André Garambois, Olivier Laurantin

Publikováno v: eISSN

Hydrological modelling of small mountainous catchments is particularly challenging because of the high spatio-temporal resolution required for the meteorological forcings. In-situ measurements of precipitation are typically scarce in these remote are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03c38688c013951209a60a058e2110ec
https://doi.org/10.5194/egusphere-2023-845

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SMASH - Spatially distributed Modelling and ASsimilation for Hydrology: Python wrapping towards enhanced research-to-operations transfer

Autor: Maxime Jay-Allemand, François Colleoni, Pierre-André Garambois, Julie Demargne

The prediction of extreme hydrological events at high resolution is a tough scientific challenge linked to major socio-economic issues. Accurate numerical models are crucially needed to perform reliable and meaningful operational predictions. In this

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a86d181817553694ca0b89f4c3fb4160
https://doi.org/10.5194/iahs2022-48

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Spatially distributed calibration of a hydrological model with variational optimization constrained by physiographic maps for flash flood forecasting in France

Autor: Maxime Jay-Allemand, Julie Demargne, Pierre-André Garambois, Pierre Javelle, Igor Gejadze, François Colleoni, Didier Organde, Patrick Arnaud, Catherine Fouchier

The estimation of storage and fluxes in surface hydrology is an essential scientific question related to major socio-economic issues, especially when forecasting extreme floods and droughts with the undergoing climate change. Advanced spatially distr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84a671c3c992a92b0ed1af4246805609
https://doi.org/10.5194/iahs2022-166

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Adjoint-based spatially distributed calibration of a grid GR-based parsimonious hydrological model over 312 French catchments with SMASH platform

Autor: François Colleoni, Pierre-André Garambois, Pierre Javelle, Maxime Jay-Allemand, Patrick Arnaud

Reducing uncertainty and improving robustness and spatio-temporal extrapolation capabilities remain key challenges in hydrological modeling especially for flood forecasting over large areas. Parsimonious model structures and effective optimization st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d875f22fc0ee414534116ad076172aff
https://doi.org/10.5194/egusphere-2022-506

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Assessing parsimonious hydrological model structures with distributed adjoint-based calibration in SMASH Python-Fortran platform on large sample of French catchments and flash floods

Autor: François Colleoni, Pierre-André Garambois, Maxime Jay-Allemand, Pierre Javelle, Patrick Arnaud, Catherine Fouchier, Igor Gejadze

This contribution presents improvements of conceptual models in SMASH (Spatially distributed Modelling and ASsimilation for Hydrology) platform, underlying the French national flash flood forecasting system Vigicrues Flash [1], based on: (i) the 3-pa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ca115e98be0080db03840e583029501
https://doi.org/10.5194/egusphere-egu22-12136

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SMASH -SPATIALLY DISTRIBUTED MODELLING AND ASSIMILATION FOR HYDROLOGY: PYTHON WRAPPING TOWARDS ENHANCED RESEARCH-TO-OPERATIONS TRANSFER

Autor: Jay-Allemand, Maxime, François, Colleoni, Garambois, Pierre-André, Javelle, Pierre, Demargne, Julie

Publikováno v: IAHS 2022-Montpellier
IAHS 2022-Montpellier, May 2022, Montpellier, France.

International audience; The distributed SMASH platform is based on a gridded mesh and on a modular design. On each cell, the model features different hydrological components. Each component offers different modeling options such as snow modules, surf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::cffbb76f302b277ab903096f931a4eb6
https://hal.archives-ouvertes.fr/hal-03683657

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Performance and sensitivity of a spatially distributed hydrological conceptual flood model with snow components

Autor: Maxime Jay-Allemand, Pierre Javelle, Pierre-André Garambois, Didier Organde, Catherine Fouchier, François Colleoni

In France, flash floods are responsible for a significant proportion of damages caused by natural hazards, either human or material. Hence, advanced modeling tools are needed to perform effective predictions. However for mountainous catchments snow m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::82e7881ddc64e1cb66b3546e44dd4eb1
https://doi.org/10.5194/egusphere-egu21-15300

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Modelling lake-groundwater interactions in preparation of future SWOT mission: the case of the gravel pit lakes in the Seine River alluvial plain, France

Autor: Anthony Bernus, Anne Jost, Agnès Rivière, Thomas Verbeke, Catherine Ottlé, François Colleoni, Nicolas Flipo, Shuaitao Wang

Gravel pit lakes created by sand and gravel mining are structural landscape elements in alluvial plains. As they create openings through the aquifer, they provide direct access to groundwater and make it possible for remote sensing to offer an integr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f4bea7dcae8bc1a67a55471734ebd916
https://doi.org/10.5194/egusphere-egu2020-11618

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