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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Laurent Strohmenger, Eric Sauquet, Claire Bernard, Jérémie Bonneau, Flora Branger, Amélie Bresson, Pierre Brigode, Rémy Buzier, Olivier Delaigue, Alexandre Devers, Guillaume Evin, Maïté Fournier, Shu-Chen Hsu, Sandra Lanini, Alban de Lavenne, Thibault Lemaitre-Basset, Claire Magand, Guilherme Mendoza Guimarães, Max Mentha, Simon Munier, Charles Perrin, Tristan Podechard, Léo Rouchy, Malak Sadki, Myriam Soutif-Bellenger, François Tilmant, Yves Tramblay, Anne-Lise Véron, Jean-Philippe Vidal, and Guillaume Thirel
Hydrol. Earth Syst. Sci., 27, 3375–3391, https://doi.org/10.5194/hess-27-3375-2023, https://doi.org/10.5194/hess-27-3375-2023, 2023
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Ronan Abhervé, Clément Roques, Alexandre Gauvain, Laurent Longuevergne, Stéphane Louaisil, Luc Aquilina, and Jean-Raynald de Dreuzy
Hydrol. Earth Syst. Sci., 27, 3221–3239, https://doi.org/10.5194/hess-27-3221-2023, https://doi.org/10.5194/hess-27-3221-2023, 2023
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Antoine Sobaga, Bertrand Decharme, Florence Habets, Christine Delire, Noële Enjelvin, Paul-Olivier Redon, Pierre Faure-Catteloin, and Patrick Le Moigne
Hydrol. Earth Syst. Sci., 27, 2437–2461, https://doi.org/10.5194/hess-27-2437-2023, https://doi.org/10.5194/hess-27-2437-2023, 2023
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Hydrol. Earth Syst. Sci., 26, 6147–6162, https://doi.org/10.5194/hess-26-6147-2022, https://doi.org/10.5194/hess-26-6147-2022, 2022
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Clément Roques, David E. Rupp, Jean-Raynald de Dreuzy, Laurent Longuevergne, Elizabeth R. Jachens, Gordon Grant, Luc Aquilina, and John S. Selker
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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.
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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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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.
Simon Deggim, Annette Eicker, Lennart Schawohl, Helena Gerdener, Kerstin Schulze, Olga Engels, Jürgen Kusche, Anita T. Saraswati, Tonie van Dam, Laura Ellenbeck, Denise Dettmering, Christian Schwatke, Stefan Mayr, Igor Klein, and Laurent Longuevergne
Earth Syst. Sci. Data, 13, 2227–2244, https://doi.org/10.5194/essd-13-2227-2021, https://doi.org/10.5194/essd-13-2227-2021, 2021
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GRACE provides us with global changes of terrestrial water storage. However, the data have a low spatial resolution, and localized storage changes in lakes/reservoirs or mass change due to earthquakes causes leakage effects. The correction product RECOG RL01 presented in this paper accounts for these effects. Its application allows for improving calibration/assimilation of GRACE into hydrological models and better drought detection in earthquake-affected areas.
Francesco Piccioni, Céline Casenave, Bruno Jacques Lemaire, Patrick Le Moigne, Philippe Dubois, and Brigitte Vinçon-Leite
Earth Syst. Dynam., 12, 439–456, https://doi.org/10.5194/esd-12-439-2021, https://doi.org/10.5194/esd-12-439-2021, 2021
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Small lakes are ecosystems highly impacted by climate change. Here, the thermal regime of a small, shallow lake over the past six decades was reconstructed via 3D modelling. Significant changes were found: strong water warming in spring and summer (0.7 °C/decade) as well as increased stratification and thermal energy for cyanobacteria growth, especially in spring. The strong spatial patterns detected for stratification might create local conditions particularly favourable to cyanobacteria bloom.
Martin Le Mesnil, Roger Moussa, Jean-Baptiste Charlier, and Yvan Caballero
Hydrol. Earth Syst. Sci., 25, 1259–1282, https://doi.org/10.5194/hess-25-1259-2021, https://doi.org/10.5194/hess-25-1259-2021, 2021
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We present an innovative approach consisting of the statistical analysis and comparison of 15 hydrological descriptors, characterizing catchment response to rainfall events. The distribution of these descriptors is analysed according to the occurrence of karst areas inside 108 catchments. It shows that karst impacts on storm events mainly result in river losses and that interbasin groundwater flows can represent a significant part of the catchment water budget ah the event timescale.
Thibault Guinaldo, Simon Munier, Patrick Le Moigne, Aaron Boone, Bertrand Decharme, Margarita Choulga, and Delphine J. Leroux
Geosci. Model Dev., 14, 1309–1344, https://doi.org/10.5194/gmd-14-1309-2021, https://doi.org/10.5194/gmd-14-1309-2021, 2021
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Lakes are of fundamental importance in the Earth system as they support essential environmental and economic services such as freshwater supply. Despite the impact of lakes on the water cycle, they are generally not considered in global hydrological studies. Based on a model called MLake, we assessed both the importance of lakes in simulating river flows at global scale and the value of their level variations for water resource management.
Valentin Dall'Alba, Philippe Renard, Julien Straubhaar, Benoit Issautier, Cédric Duvail, and Yvan Caballero
Hydrol. Earth Syst. Sci., 24, 4997–5013, https://doi.org/10.5194/hess-24-4997-2020, https://doi.org/10.5194/hess-24-4997-2020, 2020
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Due to climate and population evolution, increased pressure is put on the groundwater resource, which calls for better understanding and models. In this paper, we describe a novel workflow to model the geological heterogeneity of coastal aquifers and apply it to the Roussillon plain (southern France). The main strength of the workflow is its capability to model aquifer heterogeneity when only sparse data are available while honoring the local geological trends and quantifying uncertainty.
Pierre Nicolle, François Besson, Olivier Delaigue, Pierre Etchevers, Didier François, Matthieu Le Lay, Charles Perrin, Fabienne Rousset, Dominique Thiéry, François Tilmant, Claire Magand, Timothée Leurent, and Élise Jacob
Proc. IAHS, 383, 381–389, https://doi.org/10.5194/piahs-383-381-2020, https://doi.org/10.5194/piahs-383-381-2020, 2020
Clément Albergel, Yongjun Zheng, Bertrand Bonan, Emanuel Dutra, Nemesio Rodríguez-Fernández, Simon Munier, Clara Draper, Patricia de Rosnay, Joaquin Muñoz-Sabater, Gianpaolo Balsamo, David Fairbairn, Catherine Meurey, and Jean-Christophe Calvet
Hydrol. Earth Syst. Sci., 24, 4291–4316, https://doi.org/10.5194/hess-24-4291-2020, https://doi.org/10.5194/hess-24-4291-2020, 2020
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LDAS-Monde is a global offline land data assimilation system (LDAS) that jointly assimilates satellite-derived observations of surface soil moisture (SSM) and leaf area index (LAI) into the ISBA (Interaction between Soil Biosphere and Atmosphere) land surface model (LSM). This study demonstrates that LDAS-Monde is able to detect, monitor and forecast the impact of extreme weather on land surface states.
Patrick Le Moigne, François Besson, Eric Martin, Julien Boé, Aaron Boone, Bertrand Decharme, Pierre Etchevers, Stéphanie Faroux, Florence Habets, Matthieu Lafaysse, Delphine Leroux, and Fabienne Rousset-Regimbeau
Geosci. Model Dev., 13, 3925–3946, https://doi.org/10.5194/gmd-13-3925-2020, https://doi.org/10.5194/gmd-13-3925-2020, 2020
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The study describes how a hydrometeorological model, operational at Météo-France, has been improved. Particular emphasis is placed on the impact of climatic data, surface, and soil parametrizations on the model results. Model simulations and evaluations carried out on a variety of measurements of river flows and snow depths are presented. All improvements in climate, surface data, and model physics have a positive impact on system performance.
Yongjun Zheng, Clément Albergel, Simon Munier, Bertrand Bonan, and Jean-Christophe Calvet
Geosci. Model Dev., 13, 3607–3625, https://doi.org/10.5194/gmd-13-3607-2020, https://doi.org/10.5194/gmd-13-3607-2020, 2020
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This study proposes a sophisticated dynamically running job scheme as well as an innovative parallel IO algorithm to reduce the time to solution of an offline framework for high-dimensional ensemble Kalman filters. The offline and online modes of ensemble Kalman filters are built to comprehensively assess their time to solution efficiencies. The offline mode is substantially faster than the online mode in terms of time to solution, especially for large-scale assimilation problems.
Maxime Mouyen, Philippe Steer, Kuo-Jen Chang, Nicolas Le Moigne, Cheinway Hwang, Wen-Chi Hsieh, Louise Jeandet, Laurent Longuevergne, Ching-Chung Cheng, Jean-Paul Boy, and Frédéric Masson
Earth Surf. Dynam., 8, 555–577, https://doi.org/10.5194/esurf-8-555-2020, https://doi.org/10.5194/esurf-8-555-2020, 2020
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Land erosion creates sediment particles that are redistributed from mountains to oceans through climatic, tectonic and human activities, but measuring the mass of redistributed sediment is difficult. Here we describe a new method combining gravity and photogrammetry measurements, which make it possible to weigh the mass of sediment redistributed by a landslide and a river in Taiwan from 2015 to 2017. Trying this method in other regions will help us to better understand the erosion process.
Victor Pellet, Filipe Aires, Fabrice Papa, Simon Munier, and Bertrand Decharme
Hydrol. Earth Syst. Sci., 24, 3033–3055, https://doi.org/10.5194/hess-24-3033-2020, https://doi.org/10.5194/hess-24-3033-2020, 2020
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The water mass variation at and below the land surface is a major component of the water cycle that was first estimated using GRACE observations (2002–2017). Our analysis shows the advantages of the use of satellite observation for precipitation and evapotranspiration along with river discharge measurement to perform an indirect and coherent reconstruction of this water component estimate over longer time periods.
Rémy Bonnet, Julien Boé, and Florence Habets
Hydrol. Earth Syst. Sci., 24, 1611–1631, https://doi.org/10.5194/hess-24-1611-2020, https://doi.org/10.5194/hess-24-1611-2020, 2020
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In this paper, the multidecadal variations of the Seine basin since the 1850s are investigated, based on a new hydrometeorological reconstruction derived from hydrological modeling. The hydrological and climatic mechanisms underlying these variations are highlighted. The analysis of the hydrometeorological reconstruction shows that high and low flows are influenced by these multidecadal hydroclimate variations.
Bertrand Bonan, Clément Albergel, Yongjun Zheng, Alina Lavinia Barbu, David Fairbairn, Simon Munier, and Jean-Christophe Calvet
Hydrol. Earth Syst. Sci., 24, 325–347, https://doi.org/10.5194/hess-24-325-2020, https://doi.org/10.5194/hess-24-325-2020, 2020
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This paper introduces an ensemble square root filter (EnSRF), a deterministic ensemble Kalman filter, for jointly assimilating observations of the surface soil moisture and leaf area index in the Land Data Assimilation System LDAS-Monde. LDAS-Monde constrains the Interaction between Soil, Biosphere and Atmosphere (ISBA) land surface model to improve the reanalysis of land surface variables. EnSRF is compared with the simplified extended Kalman filter over the European Mediterranean region.
Justine Ringard, Marjolaine Chiriaco, Sophie Bastin, and Florence Habets
Atmos. Chem. Phys., 19, 13129–13155, https://doi.org/10.5194/acp-19-13129-2019, https://doi.org/10.5194/acp-19-13129-2019, 2019
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This study characterizes the changes observed at Paris urban scale and attempts to identify the surface–atmosphere feedbacks likely to explain the trends observed as a function of the different configurations of large-scale dynamics. This article is interested in several atmospheric parameters and their possible retroactions. Finally, to study urban environments, the analysis at the local scale is essential because it is very poorly represented in the model.
François Besson, Brigitte Dubuisson, Pierre Etchevers, Anne-Laure Gibelin, Pierre Lassegues, Michel Schneider, and Béatrice Vincendon
Adv. Sci. Res., 16, 149–156, https://doi.org/10.5194/asr-16-149-2019, https://doi.org/10.5194/asr-16-149-2019, 2019
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A spatialization of extreme daily temperatures (called ANASTASIA) had been produced on a 1 km regular grid over France. The production covers 1947 to present period. Validation shows good quality after the 1960s and temporal homogeneity at national scale from the 1970s. The ANASTASIA production is useful for temperature real-time monitoring and detection of heat and cold wave episodes over France.
Md Abul Ehsan Bhuiyan, Efthymios I. Nikolopoulos, Emmanouil N. Anagnostou, Jan Polcher, Clément Albergel, Emanuel Dutra, Gabriel Fink, Alberto Martínez-de la Torre, and Simon Munier
Hydrol. Earth Syst. Sci., 23, 1973–1994, https://doi.org/10.5194/hess-23-1973-2019, https://doi.org/10.5194/hess-23-1973-2019, 2019
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This study investigates the propagation of precipitation uncertainty, and its interaction with hydrologic modeling, in global water resource reanalysis. Analysis is based on ensemble hydrologic simulations for a period of 11 years based on six global hydrologic models and five precipitation datasets. Results show that uncertainties in the model simulations are attributed to both uncertainty in precipitation forcing and the model structure.
Victor Pellet, Filipe Aires, Simon Munier, Diego Fernández Prieto, Gabriel Jordá, Wouter Arnoud Dorigo, Jan Polcher, and Luca Brocca
Hydrol. Earth Syst. Sci., 23, 465–491, https://doi.org/10.5194/hess-23-465-2019, https://doi.org/10.5194/hess-23-465-2019, 2019
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This study is an effort for a better understanding and quantification of the water cycle and related processes in the Mediterranean region, by dealing with satellite products and their uncertainties. The aims of the paper are 3-fold: (1) developing methods with hydrological constraints to integrate all the datasets, (2) giving the full picture of the Mediterranean WC, and (3) building a model-independent database that can evaluate the numerous regional climate models (RCMs) for this region.
Clement Albergel, Emanuel Dutra, Simon Munier, Jean-Christophe Calvet, Joaquin Munoz-Sabater, Patricia de Rosnay, and Gianpaolo Balsamo
Hydrol. Earth Syst. Sci., 22, 3515–3532, https://doi.org/10.5194/hess-22-3515-2018, https://doi.org/10.5194/hess-22-3515-2018, 2018
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ECMWF recently released the first 7-year segment of its latest atmospheric reanalysis: ERA-5 (2010–2016). ERA-5 has important changes relative to ERA-Interim including higher spatial and temporal resolutions as well as a more recent model and data assimilation system. ERA-5 is foreseen to replace ERA-Interim reanalysis. One of the main goals of this study is to assess whether ERA-5 can enhance the simulation performances with respect to ERA-Interim when it is used to force a land surface model.
Clément Albergel, Simon Munier, Delphine Jennifer Leroux, Hélène Dewaele, David Fairbairn, Alina Lavinia Barbu, Emiliano Gelati, Wouter Dorigo, Stéphanie Faroux, Catherine Meurey, Patrick Le Moigne, Bertrand Decharme, Jean-Francois Mahfouf, and Jean-Christophe Calvet
Geosci. Model Dev., 10, 3889–3912, https://doi.org/10.5194/gmd-10-3889-2017, https://doi.org/10.5194/gmd-10-3889-2017, 2017
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LDAS-Monde, a global land data assimilation system, is applied over Europe and the Mediterranean basin to increase monitoring accuracy for land surface variables. It is able to ingest information from satellite-derived surface soil moisture (SSM) and leaf area index (LAI) observations to constrain the ISBA land surface model coupled with the CTRIP continental hydrological system. Assimilation of SSM and LAI leads to a better representation of evapotranspiration and gross primary production.
Hélène Dewaele, Simon Munier, Clément Albergel, Carole Planque, Nabil Laanaia, Dominique Carrer, and Jean-Christophe Calvet
Hydrol. Earth Syst. Sci., 21, 4861–4878, https://doi.org/10.5194/hess-21-4861-2017, https://doi.org/10.5194/hess-21-4861-2017, 2017
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Soil maximum available water content (MaxAWC) is a key parameter in land surface models. Being difficult to measure, this parameter is usually unavailable. A 15-year time series of satellite-derived observations of leaf area index (LAI) is used to retrieve MaxAWC for rainfed straw cereals over France. Disaggregated LAI is sequentially assimilated into the ISBA LSM. MaxAWC is estimated minimising LAI analyses increments. Annual maximum LAI observations correlate with the MaxAWC estimates.
Mohammad Shamsudduha, Richard G. Taylor, Darren Jones, Laurent Longuevergne, Michael Owor, and Callist Tindimugaya
Hydrol. Earth Syst. Sci., 21, 4533–4549, https://doi.org/10.5194/hess-21-4533-2017, https://doi.org/10.5194/hess-21-4533-2017, 2017
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This study tests the phase and amplitude of GRACE TWS signals in the Upper Nile Basin from five commonly used gridded products (NASA's GRCTellus: CSR, JPL, GFZ; JPL-Mascons; GRGS) using in situ data and soil moisture from the Global Land Data Assimilation System. Resolution of changes in groundwater storage (ΔGWS) from GRACE is greatly constrained by the uncertain simulated soil moisture storage and the low amplitude in ΔGWS observed in deeply weathered crystalline rocks in the Upper Nile Basin.
Fadji Hassane Maina and Philippe Ackerer
Hydrol. Earth Syst. Sci., 21, 2667–2683, https://doi.org/10.5194/hess-21-2667-2017, https://doi.org/10.5194/hess-21-2667-2017, 2017
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In many fields like climate change, hydrology and agronomy, water movement in unsaturated soils is usually simulated using the Richards equation. However, this equation requires lot of computational effort to be solved due to its highly nonlinear behavior, which hampers its use in simulations. In this paper, we analyze and developed some numerical strategies and we evaluate their reliability and efficiency.
Anis Younes, Thierry Mara, Marwan Fahs, Olivier Grunberger, and Philippe Ackerer
Hydrol. Earth Syst. Sci., 21, 2263–2275, https://doi.org/10.5194/hess-21-2263-2017, https://doi.org/10.5194/hess-21-2263-2017, 2017
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The estimation of flow and solute transport in unsaturated soil is essential for quantifying groundwater resources or pollution. Usual column laboratory experiments and a new method are analyzed using a global sensitivity analysis. The data sets are composed of water pressure and water content measured inside the column and water flow rate and solute BTC measured at the outflow. Non-invasive methods (using flow rate and BTC only) provide comparable results than usual invasive methods.
Geert Jan van Oldenborgh, Sjoukje Philip, Emma Aalbers, Robert Vautard, Friederike Otto, Karsten Haustein, Florence Habets, Roop Singh, and Heidi Cullen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-308, https://doi.org/10.5194/hess-2016-308, 2016
Manuscript not accepted for further review
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Extreme rain caused flooding in France and Germany at the end of May 2016. After such an event the question is always posed to what extent it can be attributed to anthropogenic climate change. Using observations and five model ensembles we give a first answer. For the 3-day precipitation extremes over the Seine and Loire basins that caused the flooding all methods agree that the probability has increased by a factor of about two. For 1-day precipitation extremes in Germany the methods disagree.
Bertrand Decharme, Eric Brun, Aaron Boone, Christine Delire, Patrick Le Moigne, and Samuel Morin
The Cryosphere, 10, 853–877, https://doi.org/10.5194/tc-10-853-2016, https://doi.org/10.5194/tc-10-853-2016, 2016
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We analyze how snowpack processes and soil properties impact the soil temperature profiles over northern Eurasian regions using a land surface model. A correct representation of snow compaction is critical in winter while snow albedo is dominant in spring. In summer, soil temperature is more affected by soil organic carbon content, which strongly influences the maximum thaw depth in permafrost regions. This work was done to improve the representation of boreal region processes in climate models.
Jean-Raynald de Dreuzy and Jesus Carrera
Hydrol. Earth Syst. Sci., 20, 1319–1330, https://doi.org/10.5194/hess-20-1319-2016, https://doi.org/10.5194/hess-20-1319-2016, 2016
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Geological heterogeneity enhances spreading of solutes and causes transport to be anomalous with much less mixing and reactivity than suggested by dispersion. We propose formal criteria that should be met by effective transport formalisms to represent advection, spreading and mixing. While relevant for dispersion in heterogeneous porous media, mobile–immobile exchange models induce lower but more sustained resistance to mixing.
Y. Caballero and B. Ladouche
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-12-10109-2015, https://doi.org/10.5194/hessd-12-10109-2015, 2015
Revised manuscript has not been submitted
L. Corre, P. Dandin, D. L'Hôte, and F. Besson
Adv. Sci. Res., 12, 199–205, https://doi.org/10.5194/asr-12-199-2015, https://doi.org/10.5194/asr-12-199-2015, 2015
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The VIADUC project is to evaluate existing French climate services, as well as to imagine future development in support of adaptation. Climate scientists work together with end-users and a service designer. The designer's role is to propose an innovative approach based on the interaction between scientists and citizens. The users' needs for climate information have been assessed. The lessons learned led to actions which are presented in this paper.
F. Besson, E. Bazile, C. Soci, J.-M. Soubeyroux, G. Ouzeau, and M. Perrin
Adv. Sci. Res., 12, 137–140, https://doi.org/10.5194/asr-12-137-2015, https://doi.org/10.5194/asr-12-137-2015, 2015
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Due to the evolution of the observation network, hourly 2m temperature analysis performed by reanalysis systems shows temporal inhomogeneities. In this study, the diurnal temperature cycle has been reconstructed for stations which only record extreme temperatures to produce new “pseudo” hourly temperature observations. Then they are provided to analysis systems; the results have shown that it enables reducing the bias in temperature analysis.
F. Habets, E. Philippe, E. Martin, C. H. David, and F. Leseur
Hydrol. Earth Syst. Sci., 18, 4207–4222, https://doi.org/10.5194/hess-18-4207-2014, https://doi.org/10.5194/hess-18-4207-2014, 2014
P. Nicolle, R. Pushpalatha, C. Perrin, D. François, D. Thiéry, T. Mathevet, M. Le Lay, F. Besson, J.-M. Soubeyroux, C. Viel, F. Regimbeau, V. Andréassian, P. Maugis, B. Augeard, and E. Morice
Hydrol. Earth Syst. Sci., 18, 2829–2857, https://doi.org/10.5194/hess-18-2829-2014, https://doi.org/10.5194/hess-18-2829-2014, 2014
J. Boé and F. Habets
Hydrol. Earth Syst. Sci., 18, 691–708, https://doi.org/10.5194/hess-18-691-2014, https://doi.org/10.5194/hess-18-691-2014, 2014
L. Longuevergne, C. R. Wilson, B. R. Scanlon, and J. F. Crétaux
Hydrol. Earth Syst. Sci., 17, 4817–4830, https://doi.org/10.5194/hess-17-4817-2013, https://doi.org/10.5194/hess-17-4817-2013, 2013
V. Masson, P. Le Moigne, E. Martin, S. Faroux, A. Alias, R. Alkama, S. Belamari, A. Barbu, A. Boone, F. Bouyssel, P. Brousseau, E. Brun, J.-C. Calvet, D. Carrer, B. Decharme, C. Delire, S. Donier, K. Essaouini, A.-L. Gibelin, H. Giordani, F. Habets, M. Jidane, G. Kerdraon, E. Kourzeneva, M. Lafaysse, S. Lafont, C. Lebeaupin Brossier, A. Lemonsu, J.-F. Mahfouf, P. Marguinaud, M. Mokhtari, S. Morin, G. Pigeon, R. Salgado, Y. Seity, F. Taillefer, G. Tanguy, P. Tulet, B. Vincendon, V. Vionnet, and A. Voldoire
Geosci. Model Dev., 6, 929–960, https://doi.org/10.5194/gmd-6-929-2013, https://doi.org/10.5194/gmd-6-929-2013, 2013
S. Faroux, A. T. Kaptué Tchuenté, J.-L. Roujean, V. Masson, E. Martin, and P. Le Moigne
Geosci. Model Dev., 6, 563–582, https://doi.org/10.5194/gmd-6-563-2013, https://doi.org/10.5194/gmd-6-563-2013, 2013
Related subject area
Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Spatial variability in the seasonal precipitation lapse rates in complex topographical regions – application in France
Assessing downscaling methods to simulate hydrologically relevant weather scenarios from a global atmospheric reanalysis: case study of the upper Rhône River (1902–2009)
Global total precipitable water variations and trends over the period 1958–2021
Assessing decadal- to centennial-scale nonstationary variability in meteorological drought trends
Identification of compound drought and heatwave events on a daily scale and across four seasons
Potential for historically unprecedented Australian droughts from natural variability and climate change
Flood risk assessment for Indian sub-continental river basins
Key ingredients in regional climate modelling for improving the representation of typhoon tracks and intensities
140-year daily ensemble streamflow reconstructions over 661 catchments in France
Divergent future drought projections in UK river flows and groundwater levels
Predicting extreme sub-hourly precipitation intensification based on temperature shifts
Hydroclimatic processes as the primary drivers of the Early Khvalynian transgression of the Caspian Sea: new developments
Accounting for hydroclimatic properties in flood frequency analysis procedures
An increase in the spatial extent of European floods over the last 70 years
Understanding the influence of “hot” models in climate impact studies: a hydrological perspective
A semi-parametric hourly space–time weather generator
A principal-component-based strategy for regionalisation of precipitation intensity–duration–frequency (IDF) statistics
Accounting for precipitation asymmetry in a multiplicative random cascade disaggregation model
Improving Runoff Simulation in the Western United States with Noah-MP and VIC
On the combined use of rain gauges and GPM IMERG satellite rainfall products: testing cellular automata-based interpolation methodology on the Tanaro river basin in Italy
Machine learning-constrained projection of bivariate hydrological drought magnitudes and socioeconomic risks
Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach
A genetic particle filter scheme for univariate snow cover assimilation into Noah-MP model across snow climates
Investigating the response of land–atmosphere interactions and feedbacks to spatial representation of irrigation in a coupled modeling framework
Validation of precipitation reanalysis products for rainfall-runoff modelling in Slovenia
The agricultural expansion in South America’s Dry Chaco: Regional hydroclimate effects
Statistical post-processing of precipitation forecasts using circulation classifications and spatiotemporal deep neural networks
Sensitivity of the pseudo-global warming method under flood conditions: a case study from the northeastern US
Hybrid forecasting: blending climate predictions with AI models
Sensitivities of subgrid-scale physics schemes, meteorological forcing, and topographic radiation in atmosphere-through-bedrock integrated process models: a case study in the Upper Colorado River basin
Local moisture recycling across the globe
How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation?
Regionalisation of rainfall depth–duration–frequency curves with different data types in Germany
The suitability of a seasonal ensemble hybrid framework including data-driven approaches for hydrological forecasting
Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models
Daily ensemble river discharge reforecasts and real-time forecasts from the operational Global Flood Awareness System
Spatial distribution of oceanic moisture contributions to precipitation over the Tibetan Plateau
Ensemble streamflow prediction considering the influence of reservoirs in Narmada River Basin, India
Declining water resources in response to global warming and changes in atmospheric circulation patterns over southern Mediterranean France
Linking the complementary evaporation relationship with the Budyko framework for ungauged areas in Australia
Risks of seasonal extreme rainfall events in Bangladesh under 1.5 and 2.0 °C warmer worlds – how anthropogenic aerosols change the story
Pan evaporation is increased by submerged macrophytes
Evaluation of water flux predictive models developed using eddy-covariance observations and machine learning: a meta-analysis
Characterizing basin-scale precipitation gradients in the Third Pole region using a high-resolution atmospheric simulation-based dataset
A comparison of hydrological models with different level of complexity in Alpine regions in the context of climate change
Modelling evaporation with local, regional and global BROOK90 frameworks: importance of parameterization and forcing
Hydrological concept formation inside long short-term memory (LSTM) networks
A two-step merging strategy for incorporating multi-source precipitation products and gauge observations using machine learning classification and regression over China
Hydrometeorological evaluation of two nowcasting systems for Mediterranean heavy precipitation events with operational considerations
On the links between sub-seasonal clustering of extreme precipitation and high discharge in Switzerland and Europe
Valentin Dura, Guillaume Evin, Anne-Catherine Favre, and David Penot
Hydrol. Earth Syst. Sci., 28, 2579–2601, https://doi.org/10.5194/hess-28-2579-2024, https://doi.org/10.5194/hess-28-2579-2024, 2024
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The increase in precipitation as a function of elevation is poorly understood in areas with complex topography. In this article, the reproduction of these orographic gradients is assessed with several precipitation products. The best product is a simulation from a convection-permitting regional climate model. The corresponding seasonal gradients vary significantly in space, with higher values for the first topographical barriers exposed to the dominant air mass circulations.
Caroline Legrand, Benoît Hingray, Bruno Wilhelm, and Martin Ménégoz
Hydrol. Earth Syst. Sci., 28, 2139–2166, https://doi.org/10.5194/hess-28-2139-2024, https://doi.org/10.5194/hess-28-2139-2024, 2024
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Climate change is expected to increase flood hazard worldwide. The evolution is typically estimated from multi-model chains, where regional hydrological scenarios are simulated from weather scenarios derived from coarse-resolution atmospheric outputs of climate models. We show that two such chains are able to reproduce, from an atmospheric reanalysis, the 1902–2009 discharge variations and floods of the upper Rhône alpine river, provided that the weather scenarios are bias-corrected.
Nenghan Wan, Xiaomao Lin, Roger A. Pielke Sr., Xubin Zeng, and Amanda M. Nelson
Hydrol. Earth Syst. Sci., 28, 2123–2137, https://doi.org/10.5194/hess-28-2123-2024, https://doi.org/10.5194/hess-28-2123-2024, 2024
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Global warming occurs at a rate of 0.21 K per decade, resulting in about 9.5 % K−1 of water vapor response to temperature from 1993 to 2021. Terrestrial areas experienced greater warming than the ocean, with a ratio of 2 : 1. The total precipitable water change in response to surface temperature changes showed a variation around 6 % K−1–8 % K−1 in the 15–55° N latitude band. Further studies are needed to identify the mechanisms leading to different water vapor responses.
Kyungmin Sung, Max C. A. Torbenson, and James H. Stagge
Hydrol. Earth Syst. Sci., 28, 2047–2063, https://doi.org/10.5194/hess-28-2047-2024, https://doi.org/10.5194/hess-28-2047-2024, 2024
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This study examines centuries of nonstationary trends in meteorological drought and pluvial climatology. A novel approach merges tree-ring proxy data (North American Seasonal Precipitation Atlas – NASPA) with instrumental precipitation datasets by temporally downscaling proxy data, correcting biases, and analyzing shared trends in normal and extreme precipitation anomalies. We identify regions experiencing recent unprecedented shifts towards drier or wetter conditions and shifts in seasonality.
Baoying Shan, Niko E. C. Verhoest, and Bernard De Baets
Hydrol. Earth Syst. Sci., 28, 2065–2080, https://doi.org/10.5194/hess-28-2065-2024, https://doi.org/10.5194/hess-28-2065-2024, 2024
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This study developed a convenient and new method to identify the occurrence of droughts, heatwaves, and co-occurring droughts and heatwaves (CDHW) across four seasons. Using this method, we could establish the start and/or end dates of drought (or heatwave) events. We found an increase in the frequency of heatwaves and CDHW events in Belgium caused by climate change. We also found that different months have different chances of CDHW events.
Georgina M. Falster, Nicky M. Wright, Nerilie J. Abram, Anna M. Ukkola, and Benjamin J. Henley
Hydrol. Earth Syst. Sci., 28, 1383–1401, https://doi.org/10.5194/hess-28-1383-2024, https://doi.org/10.5194/hess-28-1383-2024, 2024
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Multi-year droughts have severe environmental and economic impacts, but the instrumental record is too short to characterise multi-year drought variability. We assessed the nature of Australian multi-year droughts using simulations of the past millennium from 11 climate models. We show that multi-decadal
megadroughtsare a natural feature of the Australian hydroclimate. Human-caused climate change is also driving a tendency towards longer droughts in eastern and southwestern Australia.
Urmin Vegad, Yadu Pokhrel, and Vimal Mishra
Hydrol. Earth Syst. Sci., 28, 1107–1126, https://doi.org/10.5194/hess-28-1107-2024, https://doi.org/10.5194/hess-28-1107-2024, 2024
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A large population is affected by floods, which leave their footprints through human mortality, migration, and damage to agriculture and infrastructure, during almost every summer monsoon season in India. Despite the massive damage of floods, sub-basin level flood risk assessment is still in its infancy and needs to be improved. Using hydrological and hydrodynamic models, we reconstructed sub-basin level observed floods for the 1901–2020 period.
Qi Sun, Patrick Olschewski, Jianhui Wei, Zhan Tian, Laixiang Sun, Harald Kunstmann, and Patrick Laux
Hydrol. Earth Syst. Sci., 28, 761–780, https://doi.org/10.5194/hess-28-761-2024, https://doi.org/10.5194/hess-28-761-2024, 2024
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Tropical cyclones (TCs) often cause high economic loss due to heavy winds and rainfall, particularly in densely populated regions such as the Pearl River Delta (China). This study provides a reference to set up regional climate models for TC simulations. They contribute to a better TC process understanding and assess the potential changes and risks of TCs in the future. This lays the foundation for hydrodynamical modelling, from which the cities' disaster management and defence could benefit.
Alexandre Devers, Jean-Philippe Vidal, Claire Lauvernet, Olivier Vannier, and Laurie Caillouet
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-42, https://doi.org/10.5194/hess-2024-42, 2024
Revised manuscript accepted for HESS
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The recent development of the a new meteorological dataset providing precipitation and temperature over France – FYRE Climate – has been transformed to streamflow time series over 1871–2012 through the used of a hydrological model. This led to the creation of the daily hydrological reconstructions called HyDRE and HyDRE. These two reconstructions are evaluated allow to better understand the variability of past hydrology over France.
Simon Parry, Jonathan D. Mackay, Thomas Chitson, Jamie Hannaford, Eugene Magee, Maliko Tanguy, Victoria A. Bell, Katie Facer-Childs, Alison Kay, Rosanna Lane, Robert J. Moore, Stephen Turner, and John Wallbank
Hydrol. Earth Syst. Sci., 28, 417–440, https://doi.org/10.5194/hess-28-417-2024, https://doi.org/10.5194/hess-28-417-2024, 2024
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We studied drought in a dataset of possible future river flows and groundwater levels in the UK and found different outcomes for these two sources of water. Throughout the UK, river flows are likely to be lower in future, with droughts more prolonged and severe. However, whilst these changes are also found in some boreholes, in others, higher levels and less severe drought are indicated for the future. This has implications for the future balance between surface water and groundwater below.
Francesco Marra, Marika Koukoula, Antonio Canale, and Nadav Peleg
Hydrol. Earth Syst. Sci., 28, 375–389, https://doi.org/10.5194/hess-28-375-2024, https://doi.org/10.5194/hess-28-375-2024, 2024
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We present a new physical-based method for estimating extreme sub-hourly precipitation return levels (i.e., intensity–duration–frequency, IDF, curves), which are critical for the estimation of future floods. The proposed model, named TENAX, incorporates temperature as a covariate in a physically consistent manner. It has only a few parameters and can be easily set for any climate station given sub-hourly precipitation and temperature data are available.
Alexander Gelfan, Andrey Panin, Andrey Kalugin, Polina Morozova, Vladimir Semenov, Alexey Sidorchuk, Vadim Ukraintsev, and Konstantin Ushakov
Hydrol. Earth Syst. Sci., 28, 241–259, https://doi.org/10.5194/hess-28-241-2024, https://doi.org/10.5194/hess-28-241-2024, 2024
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Paleogeographical data show that 17–13 ka BP, the Caspian Sea level was 80 m above the current level. There are large disagreements on the genesis of this “Great” Khvalynian transgression of the sea, and we tried to shed light on this issue. Using climate and hydrological models as well as the paleo-reconstructions, we proved that the transgression could be initiated solely by hydroclimatic factors within the deglaciation period in the absence of the glacial meltwater effect.
Joeri B. Reinders and Samuel E. Munoz
Hydrol. Earth Syst. Sci., 28, 217–227, https://doi.org/10.5194/hess-28-217-2024, https://doi.org/10.5194/hess-28-217-2024, 2024
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Flooding presents a major hazard for people and infrastructure along waterways; however, it is challenging to study the likelihood of a flood magnitude occurring regionally due to a lack of long discharge records. We show that hydroclimatic variables like Köppen climate regions and precipitation intensity explain part of the variance in flood frequency distributions and thus reduce the uncertainty of flood probability estimates. This gives water managers a tool to locally improve flood analysis.
Beijing Fang, Emanuele Bevacqua, Oldrich Rakovec, and Jakob Zscheischler
EGUsphere, https://doi.org/10.5194/egusphere-2023-2890, https://doi.org/10.5194/egusphere-2023-2890, 2024
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We use grid-based runoff from a hydrological model to identify large spatiotemporally connected flood events in Europe, assess extents' trends over the last 70 years, and attribute the trends to different drivers. Our findings reveal a general increase in flood extent, with regional variations driven by diverse factors. The study not only enables a thorough examination of flood events across multiple basins but also highlights the potential challenges arising from changing flood extents.
Mehrad Rahimpour Asenjan, Francois Brissette, Jean-Luc Martel, and Richard Arsenault
Hydrol. Earth Syst. Sci., 27, 4355–4367, https://doi.org/10.5194/hess-27-4355-2023, https://doi.org/10.5194/hess-27-4355-2023, 2023
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Climate models are central to climate change impact studies. Some models project a future deemed too hot by many. We looked at how including hot models may skew the result of impact studies. Applied to hydrology, this study shows that hot models do not systematically produce hydrological outliers.
Ross Pidoto and Uwe Haberlandt
Hydrol. Earth Syst. Sci., 27, 3957–3975, https://doi.org/10.5194/hess-27-3957-2023, https://doi.org/10.5194/hess-27-3957-2023, 2023
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Long continuous time series of meteorological variables (i.e. rainfall, temperature) are required for the modelling of floods. Observed time series are generally too short or not available. Weather generators are models that reproduce observed weather time series. This study extends an existing station-based rainfall model into space by enforcing observed spatial rainfall characteristics. To model other variables (i.e. temperature) the model is then coupled to a simple resampling approach.
Kajsa Maria Parding, Rasmus Emil Benestad, Anita Verpe Dyrrdal, and Julia Lutz
Hydrol. Earth Syst. Sci., 27, 3719–3732, https://doi.org/10.5194/hess-27-3719-2023, https://doi.org/10.5194/hess-27-3719-2023, 2023
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Intensity–duration–frequency (IDF) curves describe the likelihood of extreme rainfall and are used in hydrology and engineering, for example, for flood forecasting and water management. We develop a model to estimate IDF curves from daily meteorological observations, which are more widely available than the observations on finer timescales (minutes to hours) that are needed for IDF calculations. The method is applied to all data at once, making it efficient and robust to individual errors.
Kaltrina Maloku, Benoit Hingray, and Guillaume Evin
Hydrol. Earth Syst. Sci., 27, 3643–3661, https://doi.org/10.5194/hess-27-3643-2023, https://doi.org/10.5194/hess-27-3643-2023, 2023
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High-resolution precipitation data, needed for many applications in hydrology, are typically rare. Such data can be simulated from daily precipitation with stochastic disaggregation. In this work, multiplicative random cascades are used to disaggregate time series of 40 min precipitation from daily precipitation for 81 Swiss stations. We show that very relevant statistics of precipitation are obtained when precipitation asymmetry is accounted for in a continuous way in the cascade generator.
Lu Su, Dennis P. Lettenmaier, Ming Pan, and Benjamin Bass
EGUsphere, https://doi.org/10.5194/egusphere-2023-2164, https://doi.org/10.5194/egusphere-2023-2164, 2023
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We used a systematic method to fine-tune two widely used models in 263 river basins in the Western U.S. Then, we developed transfer relationships to similar basins and extended the fine-tuned parameters to ungauged basins . We assessed factors that influence the performance of the parameter estimation and extension. We also checked how well the two models could simulate high and low river flows and saw notable enhancements. This helps studies on regional river flow simulation and forecast.
Annalina Lombardi, Barbara Tomassetti, Valentina Colaiuda, Ludovico Di Antonio, Paolo Tuccella, Mario Montopoli, Giovanni Ravazzani, Frank Silvio Marzano, Raffaele Lidori, and Giulia Panegrossi
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-214, https://doi.org/10.5194/hess-2023-214, 2023
Revised manuscript accepted for HESS
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The accurate estimation of precipitation and its spatial variability within a watershed is crucial for reliable discharge simulations. The study is the first detailed analysis of the potential usage of the Cellular Automata technique to merge different rainfall data inputs to hydrological models. This work shows an improvement in the performance of hydrological simulations when satellite and rain gauge data are merged.
Rutong Liu, Jiabo Yin, Louise Slater, Shengyu Kang, Yuanhang Yang, Pan Liu, Jiali Guo, Xihui Gu, and Aliaksandr Volchak
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-181, https://doi.org/10.5194/hess-2023-181, 2023
Revised manuscript accepted for HESS
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Climate change accelerates the water cycle and alters the spatiotemporal distribution of hydrological variables, thus complicating the projection of future streamflow and hydrological droughts. We develop a cascade modeling chain to project future bivariate hydrological drought characteristics over China, using 5 bias-corrected GCM outputs under three shared socioeconomic pathways, five hydrological models and a deep learning model.
Theresa Boas, Heye Reemt Bogena, Dongryeol Ryu, Harry Vereecken, Andrew Western, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 27, 3143–3167, https://doi.org/10.5194/hess-27-3143-2023, https://doi.org/10.5194/hess-27-3143-2023, 2023
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In our study, we tested the utility and skill of a state-of-the-art forecasting product for the prediction of regional crop productivity using a land surface model. Our results illustrate the potential value and skill of combining seasonal forecasts with modelling applications to generate variables of interest for stakeholders, such as annual crop yield for specific cash crops and regions. In addition, this study provides useful insights for future technical model evaluations and improvements.
Yuanhong You, Chunlin Huang, Zuo Wang, Jinliang Hou, Ying Zhang, and Peipei Xu
Hydrol. Earth Syst. Sci., 27, 2919–2933, https://doi.org/10.5194/hess-27-2919-2023, https://doi.org/10.5194/hess-27-2919-2023, 2023
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This study aims to investigate the performance of a genetic particle filter which was used as a snow data assimilation scheme across different snow climates. The results demonstrated that the genetic algorithm can effectively solve the problem of particle degeneration and impoverishment in a particle filter algorithm. The system has revealed a low sensitivity to the particle number in point-scale application of the ground snow depth measurement.
Patricia Lawston-Parker, Joseph A. Santanello Jr., and Nathaniel W. Chaney
Hydrol. Earth Syst. Sci., 27, 2787–2805, https://doi.org/10.5194/hess-27-2787-2023, https://doi.org/10.5194/hess-27-2787-2023, 2023
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Irrigation has been shown to impact weather and climate, but it has only recently been considered in prediction models. Prescribing where (globally) irrigation takes place is important to accurately simulate its impacts on temperature, humidity, and precipitation. Here, we evaluated three different irrigation maps in a weather model and found that the extent and intensity of irrigated areas and their boundaries are important drivers of weather impacts resulting from human practices.
Marcos Julien Alexopoulos, Hannes Müller-Thomy, Patrick Nistahl, Mojca Šraj, and Nejc Bezak
Hydrol. Earth Syst. Sci., 27, 2559–2578, https://doi.org/10.5194/hess-27-2559-2023, https://doi.org/10.5194/hess-27-2559-2023, 2023
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For rainfall-runoff simulation of a certain area, hydrological models are used, which requires precipitation data and temperature data as input. Since these are often not available as observations, we have tested simulation results from atmospheric models. ERA5-Land and COSMO-REA6 were tested for Slovenian catchments. Both lead to good simulations results. Their usage enables the use of rainfall-runoff simulation in unobserved catchments as a requisite for, e.g., flood protection measures.
María Agostina Bracalenti, Omar Vicente Müller, Miguel Angel Lovino, and Ernesto Hugo Berbery
EGUsphere, https://doi.org/10.5194/egusphere-2023-1427, https://doi.org/10.5194/egusphere-2023-1427, 2023
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The Gran Chaco is a large dry forest in South America that has been heavily deforested, particularly in the Dry Chaco subregion. This deforestation has changed the land’s characteristics, affecting the local and regional climate. The study reveals that deforestation has resulted in reduced precipitation, soil moisture, and runoff, and if intensive agriculture continues, it could make summers in this arid region even drier and hotter.
Tuantuan Zhang, Zhongmin Liang, Wentao Li, Jun Wang, Yiming Hu, and Binquan Li
Hydrol. Earth Syst. Sci., 27, 1945–1960, https://doi.org/10.5194/hess-27-1945-2023, https://doi.org/10.5194/hess-27-1945-2023, 2023
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We use circulation classifications and spatiotemporal deep neural networks to correct raw daily forecast precipitation by combining large-scale circulation patterns with local spatiotemporal information. We find that the method not only captures the westward and northward movement of the western Pacific subtropical high but also shows substantially higher bias-correction capabilities than existing standard methods in terms of spatial scale, timescale, and intensity.
Zeyu Xue, Paul Ullrich, and Lai-Yung Ruby Leung
Hydrol. Earth Syst. Sci., 27, 1909–1927, https://doi.org/10.5194/hess-27-1909-2023, https://doi.org/10.5194/hess-27-1909-2023, 2023
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We examine the sensitivity and robustness of conclusions drawn from the PGW method over the NEUS by conducting multiple PGW experiments and varying the perturbation spatial scales and choice of perturbed meteorological variables to provide a guideline for this increasingly popular regional modeling method. Overall, we recommend PGW experiments be performed with perturbations to temperature or the combination of temperature and wind at the gridpoint scale, depending on the research question.
Louise J. Slater, Louise Arnal, Marie-Amélie Boucher, Annie Y.-Y. Chang, Simon Moulds, Conor Murphy, Grey Nearing, Guy Shalev, Chaopeng Shen, Linda Speight, Gabriele Villarini, Robert L. Wilby, Andrew Wood, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 27, 1865–1889, https://doi.org/10.5194/hess-27-1865-2023, https://doi.org/10.5194/hess-27-1865-2023, 2023
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Hybrid forecasting systems combine data-driven methods with physics-based weather and climate models to improve the accuracy of predictions for meteorological and hydroclimatic events such as rainfall, temperature, streamflow, floods, droughts, tropical cyclones, or atmospheric rivers. We review recent developments in hybrid forecasting and outline key challenges and opportunities in the field.
Zexuan Xu, Erica R. Siirila-Woodburn, Alan M. Rhoades, and Daniel Feldman
Hydrol. Earth Syst. Sci., 27, 1771–1789, https://doi.org/10.5194/hess-27-1771-2023, https://doi.org/10.5194/hess-27-1771-2023, 2023
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The goal of this study is to understand the uncertainties of different modeling configurations for simulating hydroclimate responses in the mountainous watershed. We run a group of climate models with various configurations and evaluate them against various reference datasets. This paper integrates a climate model and a hydrology model to have a full understanding of the atmospheric-through-bedrock hydrological processes.
Jolanda J. E. Theeuwen, Arie Staal, Obbe A. Tuinenburg, Bert V. M. Hamelers, and Stefan C. Dekker
Hydrol. Earth Syst. Sci., 27, 1457–1476, https://doi.org/10.5194/hess-27-1457-2023, https://doi.org/10.5194/hess-27-1457-2023, 2023
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Evaporation changes over land affect rainfall over land via moisture recycling. We calculated the local moisture recycling ratio globally, which describes the fraction of evaporated moisture that rains out within approx. 50 km of its source location. This recycling peaks in summer as well as over wet and elevated regions. Local moisture recycling provides insight into the local impacts of evaporation changes and can be used to study the influence of regreening on local rainfall.
Eleonora Dallan, Francesco Marra, Giorgia Fosser, Marco Marani, Giuseppe Formetta, Christoph Schär, and Marco Borga
Hydrol. Earth Syst. Sci., 27, 1133–1149, https://doi.org/10.5194/hess-27-1133-2023, https://doi.org/10.5194/hess-27-1133-2023, 2023
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Convection-permitting climate models could represent future changes in extreme short-duration precipitation, which is critical for risk management. We use a non-asymptotic statistical method to estimate extremes from 10 years of simulations in an orographically complex area. Despite overall good agreement with rain gauges, the observed decrease of hourly extremes with elevation is not fully represented by the model. Climate model adjustment methods should consider the role of orography.
Bora Shehu, Winfried Willems, Henrike Stockel, Luisa-Bianca Thiele, and Uwe Haberlandt
Hydrol. Earth Syst. Sci., 27, 1109–1132, https://doi.org/10.5194/hess-27-1109-2023, https://doi.org/10.5194/hess-27-1109-2023, 2023
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Rainfall volumes at varying duration and frequencies are required for many engineering water works. These design volumes have been provided by KOSTRA-DWD in Germany. However, a revision of the KOSTRA-DWD is required, in order to consider the recent state-of-the-art and additional data. For this purpose, in our study, we investigate different methods and data available to achieve the best procedure that will serve as a basis for the development of the new KOSTRA-DWD product.
Sandra M. Hauswirth, Marc F. P. Bierkens, Vincent Beijk, and Niko Wanders
Hydrol. Earth Syst. Sci., 27, 501–517, https://doi.org/10.5194/hess-27-501-2023, https://doi.org/10.5194/hess-27-501-2023, 2023
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Forecasts on water availability are important for water managers. We test a hybrid framework based on machine learning models and global input data for generating seasonal forecasts. Our evaluation shows that our discharge and surface water level predictions are able to create reliable forecasts up to 2 months ahead. We show that a hybrid framework, developed for local purposes and combined and rerun with global data, can create valuable information similar to large-scale forecasting models.
Richard Arsenault, Jean-Luc Martel, Frédéric Brunet, François Brissette, and Juliane Mai
Hydrol. Earth Syst. Sci., 27, 139–157, https://doi.org/10.5194/hess-27-139-2023, https://doi.org/10.5194/hess-27-139-2023, 2023
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Predicting flow in rivers where no observation records are available is a daunting task. For decades, hydrological models were set up on these gauges, and their parameters were estimated based on the hydrological response of similar or nearby catchments where records exist. New developments in machine learning have now made it possible to estimate flows at ungauged locations more precisely than with hydrological models. This study confirms the performance superiority of machine learning models.
Shaun Harrigan, Ervin Zsoter, Hannah Cloke, Peter Salamon, and Christel Prudhomme
Hydrol. Earth Syst. Sci., 27, 1–19, https://doi.org/10.5194/hess-27-1-2023, https://doi.org/10.5194/hess-27-1-2023, 2023
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Real-time river discharge forecasts and reforecasts from the Global Flood Awareness System (GloFAS) have been made publicly available, together with an evaluation of forecast skill at the global scale. Results show that GloFAS is skillful in over 93 % of catchments in the short (1–3 d) and medium range (5–15 d) and skillful in over 80 % of catchments in the extended lead time (16–30 d). Skill is summarised in a new layer on the GloFAS Web Map Viewer to aid decision-making.
Ying Li, Chenghao Wang, Ru Huang, Denghua Yan, Hui Peng, and Shangbin Xiao
Hydrol. Earth Syst. Sci., 26, 6413–6426, https://doi.org/10.5194/hess-26-6413-2022, https://doi.org/10.5194/hess-26-6413-2022, 2022
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Spatial quantification of oceanic moisture contribution to the precipitation over the Tibetan Plateau (TP) contributes to the reliable assessments of regional water resources and the interpretation of paleo archives in the region. Based on atmospheric reanalysis datasets and numerical moisture tracking, this work reveals the previously underestimated oceanic moisture contributions brought by the westerlies in winter and the overestimated moisture contributions from the Indian Ocean in summer.
Urmin Vegad and Vimal Mishra
Hydrol. Earth Syst. Sci., 26, 6361–6378, https://doi.org/10.5194/hess-26-6361-2022, https://doi.org/10.5194/hess-26-6361-2022, 2022
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Floods cause enormous damage to infrastructure and agriculture in India. However, the utility of ensemble meteorological forecast for hydrologic prediction has not been examined. Moreover, Indian river basins have a considerable influence of reservoirs that alter the natural flow variability. We developed a hydrologic modelling-based streamflow prediction considering the influence of reservoirs in India.
Camille Labrousse, Wolfgang Ludwig, Sébastien Pinel, Mahrez Sadaoui, Andrea Toreti, and Guillaume Lacquement
Hydrol. Earth Syst. Sci., 26, 6055–6071, https://doi.org/10.5194/hess-26-6055-2022, https://doi.org/10.5194/hess-26-6055-2022, 2022
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The interest of this study is to demonstrate that we identify two zones in our study area whose hydroclimatic behaviours are uneven. By investigating relationships between the hydroclimatic conditions in both clusters for past observations with the overall atmospheric functioning, we show that the inequalities are mainly driven by a different control of the atmospheric teleconnection patterns over the area.
Daeha Kim, Minha Choi, and Jong Ahn Chun
Hydrol. Earth Syst. Sci., 26, 5955–5969, https://doi.org/10.5194/hess-26-5955-2022, https://doi.org/10.5194/hess-26-5955-2022, 2022
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We proposed a practical method that predicts the evaporation rates on land surfaces (ET) where only atmospheric data are available. Using a traditional equation that describes partitioning of precipitation into ET and streamflow, we could approximately identify the key parameter of the predicting formulation based on land–atmosphere interactions. The simple method conditioned by local climates outperformed sophisticated models in reproducing water-balance estimates across Australia.
Ruksana H. Rimi, Karsten Haustein, Emily J. Barbour, Sarah N. Sparrow, Sihan Li, David C. H. Wallom, and Myles R. Allen
Hydrol. Earth Syst. Sci., 26, 5737–5756, https://doi.org/10.5194/hess-26-5737-2022, https://doi.org/10.5194/hess-26-5737-2022, 2022
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Extreme rainfall events are major concerns in Bangladesh. Heavy downpours can cause flash floods and damage nearly harvestable crops in pre-monsoon season. While in monsoon season, the impacts can range from widespread agricultural loss, huge property damage, to loss of lives and livelihoods. This paper assesses the role of anthropogenic climate change drivers in changing risks of extreme rainfall events during pre-monsoon and monsoon seasons at local sub-regional-scale within Bangladesh.
Brigitta Simon-Gáspár, Gábor Soós, and Angela Anda
Hydrol. Earth Syst. Sci., 26, 4741–4756, https://doi.org/10.5194/hess-26-4741-2022, https://doi.org/10.5194/hess-26-4741-2022, 2022
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Due to climate change, it is extremely important to determine evaporation as accurately as possible. In nature, there are sediments and macrophytes in the open waters; thus, one of the aims was to investigate their effect on evaporation. The second aim of this paper was to estimate daily evaporation by using different models, which, according to results, have high priority in the evaporation prediction. Water management can obtain useful information from the results of the current research.
Haiyang Shi, Geping Luo, Olaf Hellwich, Mingjuan Xie, Chen Zhang, Yu Zhang, Yuangang Wang, Xiuliang Yuan, Xiaofei Ma, Wenqiang Zhang, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Hydrol. Earth Syst. Sci., 26, 4603–4618, https://doi.org/10.5194/hess-26-4603-2022, https://doi.org/10.5194/hess-26-4603-2022, 2022
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There have been many machine learning simulation studies based on eddy-covariance observations for water flux and evapotranspiration. We performed a meta-analysis of such studies to clarify the impact of different algorithms and predictors, etc., on the reported prediction accuracy. It can, to some extent, guide future global water flux modeling studies and help us better understand the terrestrial ecosystem water cycle.
Yaozhi Jiang, Kun Yang, Hua Yang, Hui Lu, Yingying Chen, Xu Zhou, Jing Sun, Yuan Yang, and Yan Wang
Hydrol. Earth Syst. Sci., 26, 4587–4601, https://doi.org/10.5194/hess-26-4587-2022, https://doi.org/10.5194/hess-26-4587-2022, 2022
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Our study quantified the altitudinal precipitation gradients (PGs) over the Third Pole (TP). Most sub-basins in the TP have positive PGs, and negative PGs are found in the Himalayas, the Hengduan Mountains and the western Kunlun. PGs are positively correlated with wind speed but negatively correlated with relative humidity. In addition, PGs tend to be positive at smaller spatial scales compared to those at larger scales. The findings can assist precipitation interpolation in the data-sparse TP.
Francesca Carletti, Adrien Michel, Francesca Casale, Alice Burri, Daniele Bocchiola, Mathias Bavay, and Michael Lehning
Hydrol. Earth Syst. Sci., 26, 3447–3475, https://doi.org/10.5194/hess-26-3447-2022, https://doi.org/10.5194/hess-26-3447-2022, 2022
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High Alpine catchments are dominated by the melting of seasonal snow cover and glaciers, whose amount and seasonality are expected to be modified by climate change. This paper compares the performances of different types of models in reproducing discharge among two catchments under present conditions and climate change. Despite many advantages, the use of simpler models for climate change applications is controversial as they do not fully represent the physics of the involved processes.
Ivan Vorobevskii, Thi Thanh Luong, Rico Kronenberg, Thomas Grünwald, and Christian Bernhofer
Hydrol. Earth Syst. Sci., 26, 3177–3239, https://doi.org/10.5194/hess-26-3177-2022, https://doi.org/10.5194/hess-26-3177-2022, 2022
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In the study we analysed the uncertainties of the meteorological data and model parameterization for evaporation modelling. We have taken a physically based lumped BROOK90 model and applied it in three different frameworks using global, regional and local datasets. Validating the simulations with eddy-covariance data from five stations in Germany, we found that the accuracy model parameterization plays a bigger role than the quality of the meteorological forcing.
Thomas Lees, Steven Reece, Frederik Kratzert, Daniel Klotz, Martin Gauch, Jens De Bruijn, Reetik Kumar Sahu, Peter Greve, Louise Slater, and Simon J. Dadson
Hydrol. Earth Syst. Sci., 26, 3079–3101, https://doi.org/10.5194/hess-26-3079-2022, https://doi.org/10.5194/hess-26-3079-2022, 2022
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Despite the accuracy of deep learning rainfall-runoff models, we are currently uncertain of what these models have learned. In this study we explore the internals of one deep learning architecture and demonstrate that the model learns about intermediate hydrological stores of soil moisture and snow water, despite never having seen data about these processes during training. Therefore, we find evidence that the deep learning approach learns a physically realistic mapping from inputs to outputs.
Huajin Lei, Hongyu Zhao, and Tianqi Ao
Hydrol. Earth Syst. Sci., 26, 2969–2995, https://doi.org/10.5194/hess-26-2969-2022, https://doi.org/10.5194/hess-26-2969-2022, 2022
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How to combine multi-source precipitation data effectively is one of the hot topics in hydrometeorological research. This study presents a two-step merging strategy based on machine learning for multi-source precipitation merging over China. The results demonstrate that the proposed method effectively distinguishes the occurrence of precipitation events and reduces the error in precipitation estimation. This method is robust and may be successfully applied to other areas even with scarce data.
Alexane Lovat, Béatrice Vincendon, and Véronique Ducrocq
Hydrol. Earth Syst. Sci., 26, 2697–2714, https://doi.org/10.5194/hess-26-2697-2022, https://doi.org/10.5194/hess-26-2697-2022, 2022
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The hydrometeorological skills of two new nowcasting systems for forecasting Mediterranean intense rainfall events and floods are investigated. The results reveal that up to 75 or 90 min of forecast the performance of the nowcasting system blending numerical weather prediction and extrapolation of radar estimation is higher than the numerical weather model. For lead times up to 3 h the skills are equivalent in general. Using these nowcasting systems for flash flood forecasting is also promising.
Alexandre Tuel, Bettina Schaefli, Jakob Zscheischler, and Olivia Martius
Hydrol. Earth Syst. Sci., 26, 2649–2669, https://doi.org/10.5194/hess-26-2649-2022, https://doi.org/10.5194/hess-26-2649-2022, 2022
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River discharge is strongly influenced by the temporal structure of precipitation. Here, we show how extreme precipitation events that occur a few days or weeks after a previous event have a larger effect on river discharge than events occurring in isolation. Windows of 2 weeks or less between events have the most impact. Similarly, periods of persistent high discharge tend to be associated with the occurrence of several extreme precipitation events in close succession.
Cited articles
Aeschbach-Hertig, W. and Gleeson, T.: Regional strategies for the accelerating global problem of groundwater depletion, Nat. Geosci., 5,
853–861, https://doi.org/10.1038/ngeo1617, 2012.
Amaranto, A., Munoz-Arriola, F., Corzo, G., Solomatine, D. P., and Meyer, G.:
Semi-seasonal groundwater forecast using multiple data-driven models in an
irrigated cropland, J. Hydroinform., 20, 1227–1246, https://doi.org/10.2166/hydro.2018.002, 2018.
Amraoui, N. and Seguin, J.-J.: Simulation par modèle maillé de
l'impact d'épisodes pluvieux millénaux sur les niveaux de la nappe
de la craie et les débits du fleuve Somme, Rapport final, BRGM/RP-61864-FR, BRGM, Orléans, 2012.
Amraoui, N., Castillo, C., and Seguin, J.-J.: Évaluation de
l'exploitabilité des ressources en eau souterraine de la nappe de la
craie du bassin de la Somme, Rapport final, BRGM/RP-63408-FR, BRGM, Orléans, 2014.
Barlage, M., Tewari, M., Chen, F., Miguez-Macho, G., Yang, Z.-L., and Niu,
G.-Y.: The effect of groundwater interaction in North American regional
climate simulations with WRF/Noah-MP, Climatic Change, 129, 485–498,
https://doi.org/10.1007/s10584-014-1308-8, 2015.
Bessière, H., PIcot, J., Picot, G., and Parmentier, M.: Affinement du
modèle hydrogéologique de la Craie du Nord-Pas-de-Calais autour des
champs captants de la métropole Lilloise, Rapport final, BRGM/RP-63689-FR, BRGM, Orléans, 2015.
Boone, A., Masson, V., Meyers, T., and Noilhan, J.: The Influence of the
Inclusion of Soil Freezing on Simulations by a Soil–Vegetation–Atmosphere
Transfer Scheme, J. Appl. Meteorol., 39, 1544–1569,
https://doi.org/10.1175/1520-0450(2000)039<1544:TIOTIO>2.0.CO;2,
2000.
Braud, I., Varado, N., and Olioso, A.: Comparison of root water uptake
modules using either the surface energy balance or potential transpiration, J. Hydrol., 301, 267–286, https://doi.org/10.1016/j.jhydrol.2004.06.033, 2005.
BRGM: ADES, available at: https://ades.eaufrance.fr (last access: 12 February 2020), 2014.
Buis, S., Piacentini, A., and Déclat, D.: PALM: a computational framework
for assembling high-performance computing applications, Concurr. Comput. Pract. Exp., 18, 231–245, https://doi.org/10.1002/cpe.914, 2005.
CERFACS: OpenPALM – Home, available at: http://www.cerfacs.fr/globc/PALM_WEB/index.html (last access: 12 February 2020), 2020.
CNRM: SURFEX, available at: http://www.umr-cnrm.fr/surfex/ (last access: 12 February 2020), 2014.
Courtois, Q.: A hillslope-based aquifer model of free-surface flows in
crystalline regions, Saint-Malo, p. 15, available at:
https://www.irisa.fr/sage/jocelyne/CMWR2018/pdf/CMWR2018_paper_429.pdf (last access: 11 February 2020), 2018.
Coustau, M., Rousset-Regimbeau, F., Thirel, G., Habets, F., Janet, B., Martin, E., de Saint-Aubin, C., and Soubeyroux, J.-M.: Impact of improved
meteorological forcing, profile of soil hydraulic conductivity and data
assimilation on an operational Hydrological Ensemble Forecast System over
France, J. Hydrol., 525, 781–792, https://doi.org/10.1016/j.jhydrol.2015.04.022, 2015.
Croiset, N., Wuilleumier, A., Bessière, H., Gresselin, F., and Seguin, J.-J.: Modélisation des aquifères de la plaine de Caen et du bassin
de la Dives. Phase 2: construction et calage du modèle hydrogéologique, BRGM/RP-62648-FR, BRGM, Orléans, 2013.
David, C. H., Habets, F., Maidment, D. R., and Yang, Z.-L.: RAPID applied to
the SIM-France model, Hydrol. Process., 25, 3412–3425, https://doi.org/10.1002/hyp.8070, 2011.
Decharme, B., Martin, E., and Faroux, S.: Reconciling soil thermal and
hydrological lower boundary conditions in land surface models, J. Geophys.
Res.-Atmos., 118, 7819–7834, https://doi.org/10.1002/jgrd.50631, 2013.
De Lange, W. J., Prinsen, G. F., Hoogewoud, J. C., Veldhuizen, A. A., Verkaik, J., Oude Essink, G. H. P., van Walsum, P. E. V., Delsman, J. R.,
Hunink, J. C., Massop, H. T. L., and Kroon, T.: An operational, multi-scale,
multi-model system for consensus-based, integrated water management and
policy analysis: The Netherlands Hydrological Instrument, Environ. Model.
Softw., 59, 98–108, https://doi.org/10.1016/j.envsoft.2014.05.009, 2014.
Douez, O.: Actualisation 2008–2011 du modèle maillé des aquifères du Jurassique en Poitou-Charentes, Rapport final, BRGM/RP-64816-FR, BRGM, Orléans, 2015.
Duchaine, F., Jauré, S., Poitou, D., Quémerais, E., Staffelbach, G.,
Morel, T., and Gicquel, L.: Analysis of high performance conjugate heat
transfer with the OpenPALM coupler, Comput. Sci. Discov., 8, 015003,
https://doi.org/10.1088/1749-4699/8/1/015003, 2015.
Dudley, R. W., Hodgkins, G. A., and Dickinson, J. E.: Forecasting the Probability of Future Groundwater Levels Declining Below Specified Low
Thresholds in the Conterminous U.S., J. Am. Water Resour. Assoc., 53, 1424–1436, https://doi.org/10.1111/1752-1688.12582, 2017.
Fan, Y., Li, H., and Miguez-Macho, G.: Global Patterns of Groundwater Table
Depth, Science, 339, 940–943, https://doi.org/10.1126/science.1229881, 2013.
Guzman, S. M., Paz, J. O., and Tagert, M. L. M.: The Use of NARX Neural
Networks to Forecast Daily Groundwater Levels, Water Resour. Manage., 31,
1591–1603, https://doi.org/10.1007/s11269-017-1598-5, 2017.
Habets, F., Boone, A., Champeaux, J. L., Etchevers, P., Franchistéguy, L., Leblois, E., Ledoux, E., Moigne, P. L., Martin, E., Morel, S., Noilhan,
J., Quintana Seguí, P., Rousset-Regimbeau, F., and Viennot, P.: The
SAFRAN-ISBA-MODCOU hydrometeorological model applied over France, J. Geophys. Res., 113, D06113, https://doi.org/10.1029/2007JD008548, 2008.
Habets, F., Gascoin, S., Korkmaz, S., Thiéry, D., Zribi, M., Amraoui, N., Carli, M., Ducharne, A., Leblois, E., Ledoux, E., Martin, E., Noilhan, J., Ottlé, C., and Viennot, P.: Multi-model comparison of a major flood in the groundwater-fed basin of the Somme River (France), Hydrol. Earth Syst.
Sci., 14, 99–117, https://doi.org/10.5194/hess-14-99-2010, 2010.
Habets, F., Amraoui, N., Caballero, Y., Thiéry, D., Vergnes, J.-P., Morel, T., Le Moigne, P., Roux, N., Dreuzy, J.-R. D., Ackerer, P., Maina, F., Besson, F., Etchevers, P., Regimbeau, F., and Viennot, P.: Plateforme de
modélisation hydrogeologique nationale AQUI-FR: Rapport final de
1ère phase (The national hydrogeological plateform Aqui-FR. Report of
the first phase), ONEMA, available at:
https://www.metis.upmc.fr/~aqui-fr/Rapport_fin_phase1_Aqui-FR_VF.pdf (last access: 11 February 2020), 2017.
Hassane Maina, F., Delay, F., and Ackerer, P.: Estimating initial conditions
for groundwater flow modeling using an adaptive inverse method, J. Hydrol.,
552, 52–61, https://doi.org/10.1016/j.jhydrol.2017.06.041, 2017.
He, X., Stisen, S., Wiese, M. B., and Henriksen, H. J.: Designing a Hydrological Real-Time System for Surface Water and Groundwater in Denmark
with Engagement of Stakeholders, Water Resour. Manage., 30, 1785–1802,
https://doi.org/10.1007/s11269-016-1251-8, 2016.
Henriksen, H. J., Troldborg, L., Nyegaard, P., Sonnenborg, T. O., Refsgaard,
J. C., and Madsen, B.: Methodology for construction, calibration and validation of a national hydrological model for Denmark, J. Hydrol., 280, 52–71, https://doi.org/10.1016/S0022-1694(03)00186-0, 2003.
Herbst, M., Fialkiewicz, W., Chen, T., Pütz, T., Thiéry, D., Mouvet,
C., Vachaud, G., and Vereecken, H.: Intercomparison of Flow and Transport
Models Applied to Vertical Drainage in Cropped Lysimeters, Vadose Zone J., 4, 240–254, https://doi.org/10.2136/vzj2004.0070, 2005.
Højberg, A. L., Troldborg, L., Stisen, S., Christensen, B. B. S., and
Henriksen, H. J.: Stakeholder driven update and improvement of a national water resources model, Environ. Model. Softw., 40, 202–213,
https://doi.org/10.1016/j.envsoft.2012.09.010, 2013.
Kollet, S., Gasper, F., Brdar, S., Goergen, K., Hendricks-Franssen, H.-J.,
Keune, J., Kurtz, W., Küll, V., Pappenberger, F., Poll, S., Trömel,
S., Shrestha, P., Simmer, C., and Sulis, M.: Introduction of an Experimental
Terrestrial Forecasting/Monitoring System at Regional to Continental Scales
Based on the Terrestrial Systems Modeling Platform (v1.1.0), Water, 10, 1697, https://doi.org/10.3390/w10111697, 2018.
Korkmaz, S.: Modélisation des régimes de crue des systèmes
couplés aquifères-rivières, thesis, Paris, ENMP, 1 January, available at: http://www.theses.fr/2007ENMP1495 (last access: 30 November 2018), 2007.
Ledoux, E., Girard, G., de Marsily, G., Villeneuve, J. P., and Deschenes, J.: Spatially Distributed Modeling: Conceptual Approach, Coupling Surface Water And Groundwater, in: Unsaturated Flow in Hydrologic Modeling: Theory and Practice, edited by: Morel-Seytoux, H. J., Springer Netherlands, Dordrecht, 435–454, 1989.
Legates, D. R. and McCabe Jr., G. J. M.: Evaluating the use of “goodness-of-fit” Measures in hydrologic and hydroclimatic model
validation, Water Resour. Res., 35, 233–241, https://doi.org/10.1029/1998WR900018, 1999.
Long, D., Longuevergne, L., and Scanlon, B. R.: Global analysis of approaches
for deriving total water storage changes from GRACE satellites, Water Resour. Res., 51, 2574–2594, https://doi.org/10.1002/2014WR016853, 2015.
Longuevergne, L., Scanlon, B. R., and Wilson, C. R.: GRACE Hydrological estimates for small basins: Evaluating processing approaches on the High
Plains Aquifer, USA, Water Resour. Res., 46, W11517, https://doi.org/10.1029/2009WR008564, 2010.
Marçais, J., de Dreuzy, J.-R., and Erhel, J.: Dynamic coupling of subsurface and seepage flows solved within a regularized partition formulation, Adv. Water Resour., 109, 94–105,
https://doi.org/10.1016/j.advwatres.2017.09.008, 2017.
Masson, V., Le Moigne, P., Martin, E., Faroux, S., Alias, A., Alkama, R.,
Belamari, S., Barbu, A., Boone, A., Bouyssel, F., Brousseau, P., Brun, E.,
Calvet, J.-C., Carrer, D., Decharme, B., Delire, C., Donier, S., Essaouini, K., Gibelin, A.-L., Giordani, H., Habets, F., Jidane, M., Kerdraon, G.,
Kourzeneva, E., Lafaysse, M., Lafont, S., Lebeaupin Brossier, C., Lemonsu, A., Mahfouf, J.-F., Marguinaud, P., Mokhtari, M., Morin, S., Pigeon, G.,
Salgado, R., Seity, Y., Taillefer, F., Tanguy, G., Tulet, P., Vincendon, B.,
Vionnet, V., and Voldoire, A.: The SURFEXv7.2 land and ocean surface platform
for coupled or offline simulation of earth surface variables and fluxes,
Geosci. Model Dev., 6, 929–960, https://doi.org/10.5194/gmd-6-929-2013, 2013.
Maxwell, R. M., Condon, L. E., and Kollet, S. J.: A high-resolution simulation of groundwater and surface water over most of the continental US
with the integrated hydrologic model ParFlow v3, Geosci. Model Dev., 8,
923–937, https://doi.org/10.5194/gmd-8-923-2015, 2015.
McKee, T. B., Doesken, N. J., and Kleist, J.: The relationship of drought
frequency and duration to time scales, in: Proceedings of the 8th Conference
on Applied Climatology, vol. 17, American Meteorological Society, Boston, MA, 179–183, 1993.
Ministère de l'Ecologie, du Développement Durable et de l'Energie: Hydroweb, available at: http://www.hydro.eaufrance.fr/ (last access: 12 February 2020), 2015.
Monteil, C., Flipo, N., Poulin, M., Habets, F., Krimissa, M., and Ledoux, E.:
Assessing the contribution of the main aquifer units of the Loire basin to
river discharge during low flow, available at:
https://hal-mines-paristech.archives-ouvertes.fr/hal-00800812 (last access: 8 January 2018), 2010.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual
models part I – A discussion of principles, J. Hydrol., 10, 282–290,
https://doi.org/10.1016/0022-1694(70)90255-6, 1970.
Noilhan, J. and Planton, S.: A Simple Parameterization of Land Surface Processes for Meteorological Models, Mon. Weather Rev., 117, 536–549,
https://doi.org/10.1175/1520-0493(1989)117<0536:ASPOLS>2.0.CO;2,
1989.
Noyer, M. L. and Elsass, P.: Modélisation de la salure profonde au droit
et en aval du Bassin Potassique, Rapport final, BRGM/RP-54389-FR, BRGM,
Orléans, 2006.
Office International de l'Eau: Bulletin de situation hydrologique de janvier 2019, Office International de l'Eau, France, available at:
https://www.eaufrance.fr/publications/bsh/2019-01, last access: 7 February 2019.
Pachocka, M., Mansour, M., Hughes, A., and Ward, R.: Challenges of modelling
a complex multi-aquifer groundwater system at a national scale: case study
from the UK, Colorado School of Mines, Colorado, USA, 216–220, available at:
http://igwmc.mines.edu/conference/Mod2015/MM15_Proceedings.pdf (last access: 24 July 2018), 2015.
Pappenberger, F., Ramos, M. H., Cloke, H. L., Wetterhall, F., Alfieri, L.,
Bogner, K., Mueller, A., and Salamon, P.: How do I know if my forecasts are
better? Using benchmarks in hydrological ensemble prediction, J. Hydrol.,
522, 697–713, https://doi.org/10.1016/j.jhydrol.2015.01.024, 2015.
Philip, S., Kew, S. F., Jan van Oldenborgh, G., Aalbers, E., Vautard, R.,
Otto, F., Haustein, K., Habets, F., and Singh, R.: Validation of a Rapid
Attribution of the May/June 2016 Flood-Inducing Precipitation in France to
Climate Change, J. Hydrometeorol., 19, 1881–1898, https://doi.org/10.1175/JHM-D-18-0074.1, 2018.
Pool, S., Vis, M., and Seibert, J.: Evaluating model performance: a non-parametric variant of the Kling–Gupta efficiency, EGU General Assembly Conference Abstracts, 20, 12053, 2018.
Prudhomme, C., Hannaford, J., Harrigan, S., Boorman, D., Knight, J., Bell, V., Jackson, C., Svensson, C., Parry, S., Bachiller-Jareno, N., Davies, H.,
Davis, R., Mackay, J., McKenzie, A., Rudd, A., Smith, K., Bloomfield, J.,
Ward, R., and Jenkins, A.: Hydrological Outlook UK: an operational streamflow
and groundwater level forecasting system at monthly to seasonal time scales,
Hydrolog. Sci. J., 62, 2753–2768, https://doi.org/10.1080/02626667.2017.1395032, 2017.
Quintana-Seguí, P., Le Moigne, P., Durand, Y., Martin, E., Habets, F.,
Baillon, M., Canellas, C., Franchisteguy, L., and Morel, S.: Analysis of
Near-Surface Atmospheric Variables: Validation of the SAFRAN Analysis over
France, J. Appl. Meteorol. Clim., 47, 92–107, https://doi.org/10.1175/2007JAMC1636.1, 2008.
Rousset, F., Habets, F., Gomez, E., Moigne, P. L., Morel, S., Noilhan, J., and Ledoux, E.: Hydrometeorological modeling of the Seine basin using the
SAFRAN-ISBA-MODCOU system, J. Geophys. Res., 109, D14105, https://doi.org/10.1029/2003JD004403, 2004.
Roux, N.: The Aqui-FR project: the future operational modeling platform for
the main regional multilayer aquifers in France, Saint-Malo, available at:
https://www.irisa.fr/sage/jocelyne/CMWR2018/pdf/CMWR2018_paper_429.pdf (last access: 11 February 2020), 2018.
Saleh, F., Ducharne, A., Flipo, N., Oudin, L., and Ledoux, E.: Impact of river bed morphology on discharge and water levels simulated by a 1D
Saint–Venant hydraulic model at regional scale, J. Hydrol., 476, 169–177,
https://doi.org/10.1016/j.jhydrol.2012.10.027, 2013.
Saltel, M., Wuilleumier, A., and Cabaret, O.: Gestion des eaux souterraines
en Région Aquitaine – Développements et maintenance du Modèle
Nord-Aquitain de gestion des nappes – Module 1 – Année 5 – Convention 2008–2013. Rapport final, BRGM/RP-65039-FR, BRGM, Orléans, 2016.
Seguin, J.-J.: Proposition d'un indicateur piézométrique standardisé pour le Bulletin de Situation Hydrologique “Nappes”,
Rapport final, BRGM/RP-64147-FR, BRGM, Orléans, 2015.
Seguin, J.-J. and Klinka, T.: Index Piézométrique Standardisé (IPS) – Bilans et comparaisons avec l'indicateur du BSH – Note technique, BRGM/RP-67251-FR, BRGM, Orléans, 2016.
Seibert, J., Vis, M. J. P., Lewis, E., and van Meerveld, H. J.: Upper and
lower benchmarks in hydrological modelling, Hydrol. Process., 32, 1120–1125, https://doi.org/10.1002/hyp.11476, 2018.
Service de l'observation et des statistiques: Repères. L'eau et les
milieux aquatiques, Chiffres clés, Ministère de l'Environnement, de
l'Energie et de la Mer, France, available at: https://www.statistiques.developpement-durable.gouv.fr/leau-et-les-milieux-aquatiques-chiffres-cles-edition-2016 (last access: 11 February 2020), 2016.
Singla, S., Céron, J.-P., Martin, E., Regimbeau, F., Déqué, M.,
Habets, F., and Vidal, J.-P.: Predictability of soil moisture and river flows
over France for the spring season, Hydrol. Earth Syst. Sci., 16, 201–216,
https://doi.org/10.5194/hess-16-201-2012, 2012.
Stollsteiner, P.: PROJET Explore 2070 – Evaluation de l'impact du changement
climatique, Rapport final, BRGM/RP-61483-FR, BRGM, Orléans, 2012.
Sulis, M., Keune, J., Shrestha, P., Simmer, C., and Kollet, S. J.: Quantifying the Impact of Subsurface-Land Surface Physical Processes on the
Predictive Skill of Subseasonal Mesoscale Atmospheric Simulations, J. Geophys. Res.-Atmos., 123, 9131–9151, https://doi.org/10.1029/2017JD028187,
2018.
Texas Water Development Board: Groundwater Division|Texas Water
Development Board, available at: https://www.twdb.texas.gov/groundwater/, last access: 6 November 2018.
Thierion, C.: Modélisation hydrogéologique des aquifères du
Bajocien – Bathonien dans le secteur des Bocages Normands, Master 2,
Université Pierre et Marie Curie, Ecole des Mines de Paris & Ecole
Nationale du Génie Rural des Eaux et des Forêts, Paris, 2007.
Thierion, C., Longuevergne, L., Habets, F., Ledoux, E., Ackerer, P., Majdalani, S., Leblois, E., Lecluse, S., Martin, E., Queguiner, S., and Viennot, P.: Assessing the water balance of the Upper Rhine Graben
hydrosystem, J. Hydrol., 424–425, 68–83, https://doi.org/10.1016/j.jhydrol.2011.12.028, 2012.
Thiéry, D.: Logiciel GARDÉNIA, version 8.2, Guide d'utilisation,
Rapport final, BRGM/RP-62797-FR, BRGM, Orléans, 2014.
Thiéry, D.: Code de calcul MARTHE – Modélisation 3D des
écoulements dans les hydrosystèmes – Notice d'utilisation de la
version 7.5 (MARTHE: Modeling software for groundwater flows), BRGM/RP-64554-FR, BRGM, Orléans, 2015a.
Thiéry, D.: Modélisation 3D des écoulements en Zone Non
Saturée avec le code de calcul MARTHE – version 7.5, BRGM/RP-64495-FR,
BRGM, Orléans, 2015b.
Thiéry, D.: Modélisation 3D du transport de masse et d'énergie
avec le code de calcul MARTHE – version 7.5, BRGM/RP-64765-FR, BRGM, Orléans, 2015c.
Thiéry, D.: Validation du code de calcul GARDÉNIA par modélisations physiques comparatives, BRGM/RP-64500-FR, BRGM, Orléans, 2015d.
Thiéry, D.: Logiciel ÉROS version 7.1 – Guide d'utilisation, Rapport
final, BRGM/RP-67704-FR, BRGM, Orléans, 2018a.
Thiéry, D.: Modélisation hydrologique globale des débits de 23 sources karstiques avec le logiciel ÉROS, Rapport final,
BRGM/RP-67723-FR, BRGM, Orléans, 2018b.
Thiéry, D. and Moutzopoulos, C.: Un modèle hydrologique spatialisé pour la simulation de très grands bassins: le modèle
EROS formé de grappes de modèles globaux élémentaires,
ORSTOM Editions, 285–295, available at:
https://hal-brgm.archives-ouvertes.fr/hal-01061971/document (last access: 10 January 2018), 1992.
Thiéry, D., Amraoui, N., and Noyer, M.-L.: Modelling flow and heat transfer through unsaturated chalk – Validation with experimental data from the ground surface to the aquifer, J. Hydrol., 556, 660–673,
https://doi.org/10.1016/j.jhydrol.2017.11.041, 2018.
Thirel, G., Martin, E., Mahfouf, J.-F., Massart, S., Ricci, S., and Habets, F.: A past discharges assimilation system for ensemble streamflow forecasts
over France – Part 1: Description and validation of the assimilation
system, Hydrol. Earth Syst. Sci., 14, 1623–1637, https://doi.org/10.5194/hess-14-1623-2010, 2010.
Vergnes, J.-P. and Decharme, B.: A simple groundwater scheme in the TRIP
river routing model: global off-line evaluation against GRACE terrestrial
water storage estimates and observed river discharges, Hydrol. Earth Syst.
Sci., 16, 3889–3908, https://doi.org/10.5194/hess-16-3889-2012, 2012.
Vergnes, J.-P. and Habets, F.: Impact of river water levels on the simulation of stream–aquifer exchanges over the Upper Rhine alluvial aquifer (France/Germany), Hydrogeol. J., 26, 2443–2457, https://doi.org/10.1007/s10040-018-1788-0, 2018.
Vergnes, J.-P., Decharme, B., Alkama, R., Martin, E., Habets, F., and Douville, H.: A Simple Groundwater Scheme for Hydrological and Climate
Applications: Description and Offline Evaluation over France, J. Hydrometeorol., 13, 1149–1171, https://doi.org/10.1175/JHM-D-11-0149.1, 2012.
Vergnes, J.-P., Decharme, B., and Habets, F.: Introduction of groundwater
capillary rises using subgrid spatial variability of topography into the ISBA land surface model, J. Geophys. Res.-Atmos., 119, 11065–11086, https://doi.org/10.1002/2014JD021573, 2014.
Vidal, J., Martin, E., Franchistéguy, L., Baillon, M., and Soubeyroux, J.: A 50-year high-resolution atmospheric reanalysis over France with the
Safran system, Int. J. Climatol., 30, 1627–1644, https://doi.org/10.1002/joc.2003, 2010.
Viennot, P.: Modélisation mathématique du fonctionnement
hydrogéologique du bassin de la Seine, Représentation différentiée des aquifères du Tertiaire/Intégration des
prélèvements anthropiques, R071128PVIE, Centre de Géosciences,
Fontainebleau, 2009.
Viennot, P. and Abasq, L.: Modélisation de la pollution nitrique des
grands aquifères du bassin de Seine-Normandie à l'échelle des
masses d'eau, Développement des sous modèles hydrogéologiques
“Craie” du bassin de la Seine, Rapport final, Centre de Géosciences,
Fontainebleau, 2013.
Westerhoff, R., White, P., and Rawlinson, Z.: Incorporation of Satellite Data
and Uncertainty in a Nationwide Groundwater Recharge Model in New Zealand,
Remote Sens., 10, 58, https://doi.org/10.3390/rs10010058, 2018.
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...
