P. Le Moigne
ASM Clermont Auvergne
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Publication
Featured researches published by P. Le Moigne.
Journal of Geophysical Research | 2008
F. Habets; Aaron Boone; J. L. Champeaux; Pierre Etchevers; Laurent Franchistéguy; Etienne Leblois; E. Ledoux; P. Le Moigne; E. Martin; S. Morel; J. Noilhan; P. Quintana Seguí; F. Rousset-Regimbeau; P. Viennot
The hydrometeorological model SIM consists in a meterological analysis system (SAFRAN), a land surface model (ISBA) and a hydrogeological model (MODCOU). It generates atmospheric forcing at an hourly time step, and it computes water and surface energy budgets, the river ow at more than 900 rivergauging stations, and the level of several aquifers. SIM was extended over all of France in order to have a homogeneous nation-wide monitoring of the water resources: it can therefore be used to forecast flood risk and to monitor drought risk over the entire nation. The hydrometeorologival model was applied over a 10-year period from 1995 to 2005. In this paper the databases used by the SIM model are presented, then the 10-year simulation is assessed by using the observations of daily stream-flow, piezometric head, and snow depth. This assessment shows that SIM is able to reproduce the spatial and temporal variabilities of the water fluxes. The efficiency is above 0.55 (reasonable results) for 66 % of the simulated rivergages, and above 0.65 (rather good results) for 36 % of them. However, the SIM system produces worse results during the driest years, which is more likely due to the fact that only few aquifers are simulated explicitly. The annual evolution of the snow depth is well reproduced, with a square correlation coeficient around 0.9 over the large altitude range in the domain. The stream ow observations were used to estimate the overall error of the simulated latent heat ux, which was estimated to be less than 4 %.
Journal of Hydrometeorology | 2012
Dominique Carrer; S. Lafont; J.-L. Roujean; Jean-Christophe Calvet; Catherine Meurey; P. Le Moigne; Isabel F. Trigo
AbstractThe Land Surface Analysis Satellite Applications Facility (LSA SAF) project radiation fluxes, derived from the Meteosat Second Generation (MSG) geostationary satellite, were used in the Interactions between Soil, Biosphere, and Atmosphere (ISBA) land surface model (LSM), which is a component of the Surface Externalisee (SURFEX) modeling platform. The Systeme d’Analyze Fournissant des Renseignements Atmospheriques a la Neige (SAFRAN) atmospheric analysis provides high-resolution atmospheric variables used to drive LSMs over France. The impact of using the incoming solar and infrared radiation fluxes [downwelling surface shortwave (DSSF) and longwave (DSLF), respectively] from either SAFRAN or LSA SAF, in ISBA, was investigated over France for 2006. In situ observations from the Flux Network (FLUXNET) were used for the verification. Daily differences between SAFRAN and LSA SAF radiation fluxes averaged over the whole year 2006 were 3.75 and 2.61 W m−2 for DSSF and DSLF, respectively, representing 2....
Journal of Applied Meteorology and Climatology | 2009
L. Bouilloud; E. Martin; Florence Habets; Aaron Boone; P. Le Moigne; J. Livet; M. Marchetti; A. Foidart; Laurent Franchistéguy; S. Morel; J. Noilhan; P. Pettré
A numerical model designed to simulate the evolution of a snow layer on a road surface was forced by meteorological forecasts so as to assess its potential for use within an operational suite for road management in winter. The suite is intended for use throughout France, even in areas where no observations of surface conditions are available. It relies on short-term meteorological forecasts and long-term simulations of surface conditions using spatialized meteorological data to provide the initial conditions. The prediction of road surface conditions (road surface temperature and presence of snow on the road) was tested at an experimental site using data from a comprehensive experimental field campaign. The results were satisfactory, with detection of the majority of snow and negative road surface temperature events. The model was then extended to all of France with an 8-km grid resolution, using forcing data from a real-time meteorological analysis system. Many events with snow on the roads were simulated for the 2004/05 winter. Results for road surface temperature were checked against road station data from several highways, and results for the presence of snow on the road were checked against measurements from the Meteo-France weather station network
Surveys in Geophysics | 2016
E. Martin; Simon Gascoin; Y. Grusson; Clément Murgue; Mélanie Bardeau; François Anctil; Sylvain Ferrant; Romain Lardy; P. Le Moigne; D. Leenhardt; Vincent Rivalland; J.M. Sánchez Pérez; Sabine Sauvage; Olivier Therond
Natural and anthropogenic forcing factors and their changes significantly impact water resources in many river basins around the world. Information on such changes can be derived from fine scale in situ and satellite observations, used in combination with hydrological models. The latter need to account for hydrological changes caused by human activities to correctly estimate the actual water resource. In this study, we consider the catchment area of the Garonne river (in France) to investigate the capabilities of space-based observations and up-to-date hydrological modeling in estimating water resources of a river basin modified by human activities and a changing climate. Using the ISBA–MODCOU and SWAT hydrological models, we find that the water resources of the Garonne basin display a negative climate trend since 1960. The snow component of the two models is validated using the moderate-resolution imaging spectroradiometer snow cover extent climatology. Crop sowing dates based on remote sensing studies are also considered in the validation procedure. Use of this dataset improves the simulated evapotranspiration and river discharge amounts when compared to conventional data. Finally, we investigate the benefit of using the MAELIA multi-agent model that accounts for a realistic agricultural and management scenario. Among other results, we find that changes in crop systems have significant impacts on water uptake for agriculture. This work constitutes a basis for the construction of a future modeling framework of the sociological and hydrological system of the Garonne river region.
Eas Publications Series | 2010
Elena Masciadri; Franck Lascaux; S. Hagelin; J. Stoesz; P. Le Moigne; J. Noilhan
The internal antarctic plateau revealed in the last years to be a site with interesting potentialities for the astronomical applica- tions due to the extreme dryness and low temperatures, the typical high altitude of the plateau, the weak level of turbulence in the free atmosphere down to a just few tens of meters from the ground and the thin optical turbulence layer developed at the ground. The main goal of a site testing assessment above the internal antarctic plateau is to characterize the site (optical turbulence and classical meteorological parameters) and to quantify which is the gain we might obtain with re- spect to equivalent astronomical observations done above mid-latitude sites to support plans for future astronomical facilities. Our group is involved, since a few years, in studies related to the assessment of this site for astronomical applications that include the characterization of the meteorological parameters and optical turbulence provided by general circulation models as well as mesoscale atmospherical models and the quantification of the performances of Adaptive Optics (AO) systems. In this talk I will draw the status of art of this site assess- ment putting our studies in the context of the wide international site testing activity that has been done in Antarctica. I will focus on the site assessment relevant for astronomical applications to be done in the visible up to the near infrared ranges, i.e. those ranges for which the optical turbulence represents a perturbing element for the quality of the images and the AO techniques an efficient tool to correct these wavefront perturbations.
Journal of Applied Meteorology and Climatology | 2008
Pere Quintana Seguí; P. Le Moigne; Yves Durand; E. Martin; Florence Habets; Martine Baillon; Claire Canellas; Laurent Franchistéguy; S. Morel
Geoscientific Model Development | 2012
Valéry Masson; P. Le Moigne; E. Martin; Stéphanie Faroux; Antoinette Alias; R. Alkama; Sophie Belamari; A. L. Barbu; Aaron Boone; François Bouyssel; P. Brousseau; Eric Brun; Jean-Christophe Calvet; Dominique Carrer; Christine Delire; Sylvie Donier; K. Essaouini; Anne-Laure Gibelin; Hervé Giordani; Florence Habets; M. Jidane; G. Kerdraon; E. Kourzeneva; Matthieu Lafaysse; S. Lafont; C. Lebeaupin Brossier; Aude Lemonsu; J.-F. Mahfouf; Philippe Marguinaud; M. Mokhtari
Geoscientific Model Development | 2011
Vincent Vionnet; Eric Brun; Samuel Morin; Aaron Boone; Stéphanie Faroux; P. Le Moigne; E. Martin; Jean-Marie Willemet
Geoscientific Model Development | 2012
Stéphanie Faroux; A. T. Kaptué Tchuenté; J.-L. Roujean; Valéry Masson; E. Martin; P. Le Moigne
Atmospheric Chemistry and Physics | 2007
Jean-Christophe Calvet; Anne-Laure Gibelin; J.-L. Roujean; E. Martin; P. Le Moigne; H. Douville; J. Noilhan