Articles | Volume 24, issue 2
https://doi.org/10.5194/hess-24-633-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-633-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Feb 2020
Research article |
| 13 Feb 2020
| 13 Feb 2020
The AquiFR hydrometeorological modelling platform as a tool for improving groundwater resource monitoring over France: evaluation over a 60-year period
Jean-Pierre Vergnes
CORRESPONDING AUTHOR
Water, Environment, Processes and Analyses Division, BRGM – The French Geological Survey, 45060 Orléans CEDEX 2, France
Nicolas Roux
National Centre for Meteorological Research (CNRM) UMR 3589, Météo‐France/CNRS, University of Toulouse, 31100 Toulouse, France
Florence Habets
CNRS UMR 7619 Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols (METIS), Sorbonne University, 75252 Paris CEDEX 5, France
Geology Laboratory of Ecole Normale Supérieure, Pierre Simon Laplace Research University, CNRS UMR 8538, 75005 Paris, France
Philippe Ackerer
Laboratory of HYdrology and GEochemistry of Strasbourg (LHYGES), UMR 7517 CNRS, EOST/University of Strasbourg, 67084 Strasbourg, France
Nadia Amraoui
Water, Environment, Processes and Analyses Division, BRGM – The French Geological Survey, 45060 Orléans CEDEX 2, France
François Besson
Direction du Climat et des Services Climatiques (DCSC), Météo France, 31057 Toulouse CEDEX 1, France
Yvan Caballero
Water, Environment, Processes and Analyses Division, BRGM – The French Geological Survey, 45060 Orléans CEDEX 2, France
Quentin Courtois
Géosciences Rennes, UMR 6118, CNRS, University of Rennes I, 35042 Rennes CEDEX, France
Jean-Raynald de Dreuzy
Géosciences Rennes, UMR 6118, CNRS, University of Rennes I, 35042 Rennes CEDEX, France
Pierre Etchevers
Direction du Climat et des Services Climatiques (DCSC), Météo France, 31057 Toulouse CEDEX 1, France
Nicolas Gallois
Geosciences Research Department, MINES ParisTech, 77305 Fontainebleau, France
Delphine J. Leroux
National Centre for Meteorological Research (CNRM) UMR 3589, Météo‐France/CNRS, University of Toulouse, 31100 Toulouse, France
Laurent Longuevergne
Géosciences Rennes, UMR 6118, CNRS, University of Rennes I, 35042 Rennes CEDEX, France
Patrick Le Moigne
National Centre for Meteorological Research (CNRM) UMR 3589, Météo‐France/CNRS, University of Toulouse, 31100 Toulouse, France
Thierry Morel
Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), 31057 Toulouse CEDEX 01, France
Simon Munier
National Centre for Meteorological Research (CNRM) UMR 3589, Météo‐France/CNRS, University of Toulouse, 31100 Toulouse, France
Fabienne Regimbeau
Direction du Climat et des Services Climatiques (DCSC), Météo France, 31057 Toulouse CEDEX 1, France
Dominique Thiéry
Water, Environment, Processes and Analyses Division, BRGM – The French Geological Survey, 45060 Orléans CEDEX 2, France
Pascal Viennot
Geosciences Research Department, MINES ParisTech, 77305 Fontainebleau, France
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Dimitri Rambourg, Raphaël Di Chiara, and Philippe Ackerer
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Arsène Druel, Simon Munier, Anthony Mucia, Clément Albergel, and Jean-Christophe Calvet
Geosci. Model Dev., 15, 8453–8471, https://doi.org/10.5194/gmd-15-8453-2022, https://doi.org/10.5194/gmd-15-8453-2022, 2022
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Luca Guillaumot, Laurent Longuevergne, Jean Marçais, Nicolas Lavenant, and Olivier Bour
Hydrol. Earth Syst. Sci., 26, 5697–5720, https://doi.org/10.5194/hess-26-5697-2022, https://doi.org/10.5194/hess-26-5697-2022, 2022
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Eva Sebok, Hans Jørgen Henriksen, Ernesto Pastén-Zapata, Peter Berg, Guillaume Thirel, Anthony Lemoine, Andrea Lira-Loarca, Christiana Photiadou, Rafael Pimentel, Paul Royer-Gaspard, Erik Kjellström, Jens Hesselbjerg Christensen, Jean Philippe Vidal, Philippe Lucas-Picher, Markus G. Donat, Giovanni Besio, María José Polo, Simon Stisen, Yvan Caballero, Ilias G. Pechlivanidis, Lars Troldborg, and Jens Christian Refsgaard
Hydrol. Earth Syst. Sci., 26, 5605–5625, https://doi.org/10.5194/hess-26-5605-2022, https://doi.org/10.5194/hess-26-5605-2022, 2022
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Hydrological models projecting the impact of changing climate carry a lot of uncertainty. Thus, these models usually have a multitude of simulations using different future climate data. This study used the subjective opinion of experts to assess which climate and hydrological models are the most likely to correctly predict climate impacts, thereby easing the computational burden. The experts could select more likely hydrological models, while the climate models were deemed equally probable.
Lucas Pelascini, Philippe Steer, Maxime Mouyen, and Laurent Longuevergne
Nat. Hazards Earth Syst. Sci., 22, 3125–3141, https://doi.org/10.5194/nhess-22-3125-2022, https://doi.org/10.5194/nhess-22-3125-2022, 2022
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Landslides represent a major natural hazard and are often triggered by typhoons. We present a new 2D model computing the respective role of rainfall infiltration, atmospheric depression and groundwater in slope stability during typhoons. The results show rainfall is the strongest factor of destabilisation. However, if the slope is fully saturated, near the toe of the slope or during the wet season, rainfall infiltration is limited and atmospheric pressure change can become the dominant factor.
Clément Roques, David E. Rupp, Jean-Raynald de Dreuzy, Laurent Longuevergne, Elizabeth R. Jachens, Gordon Grant, Luc Aquilina, and John S. Selker
Hydrol. Earth Syst. Sci., 26, 4391–4405, https://doi.org/10.5194/hess-26-4391-2022, https://doi.org/10.5194/hess-26-4391-2022, 2022
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Streamflow dynamics are directly dependent on contributions from groundwater, with hillslope heterogeneity being a major driver in controlling both spatial and temporal variabilities in recession discharge behaviors. By analysing new model results, this paper identifies the major structural features of aquifers driving streamflow dynamics. It provides important guidance to inform catchment-to-regional-scale models, with key geological knowledge influencing groundwater–surface water interactions.
Patrick Le Moigne, Eric Bazile, Anning Cheng, Emanuel Dutra, John M. Edwards, William Maurel, Irina Sandu, Olivier Traullé, Etienne Vignon, Ayrton Zadra, and Weizhong Zheng
The Cryosphere, 16, 2183–2202, https://doi.org/10.5194/tc-16-2183-2022, https://doi.org/10.5194/tc-16-2183-2022, 2022
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This paper describes an intercomparison of snow models, of varying complexity, used for numerical weather prediction or academic research. The results show that the simplest models are, under certain conditions, able to reproduce the surface temperature just as well as the most complex models. Moreover, the diversity of surface parameters of the models has a strong impact on the temporal variability of the components of the simulated surface energy balance.
Antoine Sobaga, Bertrand Decharme, Florence Habets, Christine Delire, Noële Enjelvin, Paul-Olivier Redon, Pierre Faure-Catteloin, and Patrick Le Moigne
EGUsphere, https://doi.org/10.5194/egusphere-2022-274, https://doi.org/10.5194/egusphere-2022-274, 2022
Preprint archived
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Seven instrumented lysimeters are used to assess the simulation of the soil water dynamic in one land surface model. Three water potential and hydraulic conductivity closed-form equations including one mixed form are evaluated. The mixed form is more relevant to simulate drainage especially during intense drainage events. Soil profile heterogeneity of one parameter of the closed-form equations is shown to be important.
Simon Munier and Bertrand Decharme
Earth Syst. Sci. Data, 14, 2239–2258, https://doi.org/10.5194/essd-14-2239-2022, https://doi.org/10.5194/essd-14-2239-2022, 2022
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This paper presents a new global-scale river network at 1/12°, generated automatically and assessed over the 69 largest basins of the world. A set of hydro-geomorphological parameters are derived at the same spatial resolution, including a description of river stretches (length, slope, width, roughness, bankfull depth), floodplains (roughness, sub-grid topography) and aquifers (transmissivity, porosity, sub-grid topography). The dataset may be useful for hydrology modelling or climate studies.
Nataline Simon, Olivier Bour, Mikaël Faucheux, Nicolas Lavenant, Hugo Le Lay, Ophélie Fovet, Zahra Thomas, and Laurent Longuevergne
Hydrol. Earth Syst. Sci., 26, 1459–1479, https://doi.org/10.5194/hess-26-1459-2022, https://doi.org/10.5194/hess-26-1459-2022, 2022
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Groundwater discharge into streams plays a major role in the preservation of stream ecosystems. There were two complementary methods, both based on the use of the distributed temperature sensing technology, applied in a headwater catchment. Measurements allowed us to characterize the spatial and temporal patterns of groundwater discharge and quantify groundwater inflows into the stream, opening very promising perspectives for a novel characterization of the groundwater–stream interface.
Kouamé Auguste Kouassi, William Francis Kouassi, Oi Mangoua Jules Mangoua, Philippe Ackerer, Gountôh Aristide Douagui, and Issiaka Savané
Proc. IAHS, 384, 49–56, https://doi.org/10.5194/piahs-384-49-2021, https://doi.org/10.5194/piahs-384-49-2021, 2021
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La caractérisation des aquifères est importante pour la compréhension des eaux souterraines. La modélisation hydrodynamique par approche inverse se présente comme une solution appropriée pour déterminer un paramètre hydrodynamique tel que la transmissivité sur l'ensemble d'une nappe. Les valeurs de transmissivité identifiées dans ce travail présentent une bonne structure dans l'ensemble en comparaison des champs de transmissivités publiées dans des études en Afrique et dans le monde.
Maxime Mouyen, Romain Plateaux, Alexander Kunz, Philippe Steer, and Laurent Longuevergne
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-233, https://doi.org/10.5194/gmd-2021-233, 2021
Preprint withdrawn
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LAPS is an easy to use Matlab code that allows simulating the transport of particles in the ocean without any programming requirement. The simulation is based on publicly available ocean current velocity fields and allows to output particles spatial distribution and trajectories at time intervals defined by the user. After explaining how LAPS is working, we show a few examples of applications for studying sediment transport or plastic littering. The code is available on Github.
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Short summary
The AquiFR hydrogeological modelling platform aims to provide
short-term-to-seasonal hydrological forecasts over France for daily water management and long-term simulations for climate impact studies. The results described in this study confirm the feasibility of gathering independent groundwater models into the same numerical tool. This new tool encourages the development of groundwater modelling, and it has the potential to be valuable for many operational and research applications.
The AquiFR hydrogeological modelling platform aims to provide
short-term-to-seasonal...
