I am a researcher in the PRECIP team at CNRM, with a strong expertise in radar observations, which I’m using especially for convective-scale NWP model evaluation (and improvement) and hail detection. 2019–present: Researcher in the PRECIP team, CNRM 2016–2019: R&D Engineer at the Radar Meteorological Centre (Météo-France) 2012–2016: PhD in atmospheric physics (supervisors: Véronique Ducrocq and Olivier Caumont). Contribution of polarimetric radar data to a convective-scale atmospheric model. 2008–2012: R&D Engineer at the Radar Meteorological Centre (Météo-France) 2007–2008: R&D Engineer at the Observation Systems Division (Météo-France) 2004–2007: Engineering degree from the National School of Meteorology (Météo-France, Toulouse)
Use of polarimetric radar observations for the characterisation and forecasting of thunderstorms: detection of severe hail: Forcadell et al. (2024), Bechis et al (2026) Radar observation operators for model evaluation: polarimetric radar variables (Augros et al., 2016, Bousquet et al., 2015, Lac et al., 2018, Taufour et al., 2018, Paz et al. 2026); radar reflectivity (Borderies et al., 2018, Mazoyer et al., 2023) assimilation of new observations into Numerical Weather Prediction (NWP) systems (polarimetric radar variables: Augros et al., 2018; water vapour lidar: Flamant et al., 2021) Study of the impact of urbanised surfaces on the initiation and development of convective precipitation (Forster et al., 2024, Masson et al., 2026) Contribution of radar observations to the analysis of the snowpack (Vernay et al., 2024)
Météo-France project COPHY (COordination of the evaluation of the PHYsics of Météo France NWP models): co-leader with Sylvie Malardel Post-Doctoral researchers Ongoing: sept 2025 – dec 2026 Hernan Bechis (Hail detection using CNNs, MOPGA grant) Past: 2022 – 2023 Guillaume Thomas (monitoring observations lidar vapeur d’eau, projet ANR WALINEAS) 2024 – 2025 Jérémy Ottaviano (assimilation lidar vapeur d’eau, projet ANR WALINEAS) PhD candidates Past: 2022-2026 Cloé David (co-dirigée avec Benoît Vié et François Bouttier ) : Amélioration des simulations radar polarimétriques d’AROME : évaluation de différents schémas microphysiques et des options de l’opérateur d’observation radar. 2021-2024 : Vincent Forcadell (co-dirigée avec Olivier Caumont) : Application de méthodes de deep learning pour détecter la grêle à partir d’observations radar 2021-2024 : Arnaud Forster (co-dirigée avec Valéry Masson) : Hectometric resolution weather forecast for extreme meteorological events in cities : application to 2024 Paris Olympic Games. 2021- 2025 : Matthieu Vernay (co-dirigée avec Matthieu Lafaysse ; depuis 2021) : Complémentarité de l’assimilation d’observations satellites du manteau neigeux et d’observations radar des précipitations en zone de montagne Master students Ongoing: 2026 : Juliette Bonnet (co-supervised with Cécile Caillaud, GMGEC/MOSCA): Évaluation du diagnostic de grêle dans les simulations du modèle de climat à échelle kilométrique CNRM-AROME sur la France Past: 2025 : Louis Tariot (co-supervised avec Pierre Lepetit et Thibaut Montmerle): Évaluation et consolidation d’un algorithme d’apprentissage supervisé pour estimer la taille maximale des grêlons associés à un objet orageux. 2024 : Maxandre Ouradou (co-supervised avec Pierre Lepetit) : Apport de l’intelligence artificielle pour produire un diagnostic spatialisé de taille de grêle à partir d’observations radar à double-polarisation. 2023 : Kelly Doeuvre (co-supervised avec Arnaud Forster) : Climatologie des orages en région parisienne à partir de données radar et d’éclair 2022 : Cloé David (co-supervised avec Benoît Vié) : Utilisation des observations polarimétriques radar pour l’évaluation des schémas microphysiques de Méso-NH sur un cas d’orage violent
2026 Preprints Paz, A., Augros, C., Raspaud, D., Borderies, M., Padullés, R., Cardellach, E., & David, C. (2026). Use of a GNSS-PRO forward operator for the evaluation of global and km-scale NWP models. EGUsphere, 1–31. https://doi.org/10.5194/egusphere-2026-4040 Bechis, H., C. Augros, V. Forcadell, L. Tariot, O. Laurantin: Improved radar-based hail detection and sizing using a convolutional neural network for ordinal regression. Submitted to QJRMS : https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6981440 Accepted Masson, V., … Augros, C., et al : The Paris 2024 Olympics Research Demonstration Project. (BAMS: accepted https://journals.ametsoc.org/view/journals/bams/aop/BAMS-D-25-0008.1/BAMS-D-25-0008.1.xml 2025 David, C., Augros, C., Vié, B., Bouttier, F., & Le Bastard, T. (2025). Improved simulation of thunderstorm characteristics and polarimetric signatures with LIMA two-moment microphysics in AROME. Atmospheric Measurement Techniques, 18(15), 3715–3745. https://doi.org/10.5194/amt-18-3715-2025 2024 Forcadell, V., Augros, C., Caumont, O., Dedieu, K., Ouradou, M., David, C., Figueras i Ventura, J., Laurantin, O., & Al-Sakka, H. (2024). Severe-hail detection with C-band dual-polarisation radars using convolutional neural networks. Atmospheric Measurement Techniques, 17(22), 6707–6734. https://doi.org/10.5194/amt-17-6707-2024 Forster, A., C. Augros, and V. Masson, Urban influence on convective precipitation in the Paris region : Hectometric ensemble simulations in a case study. Quarterly Journal of the Royal Meteorological Society, n/a, [https://doi.org/10.1002/qj.4749]. Vernay, M., M. Lafaysse, and C. Augros : Radar based high resolution ensemble precipitation analyses over the French Alps, EGUsphere [preprint], [https://doi.org/10.5194/egusphere-2024-668], 2024. 2023 Mazoyer, M., D. Ricard, G. Rivière, J. Delanoë, S. Riette, C. Augros, M. Borderies, and B. Vié, 2023 : Impact of mixed-phase cloud parameterization on warm conveyor belts and upper-tropospheric dynamics. Monthly Weather Review, 1, [https://doi.org/10.1175/MWR-D-22-0045.1]. 2021 Flamant, C., P. Chazette, O. Caumont, P. Di Girolamo, A. Behrendt, M. Sicard, J. Totems, D. Lange, N. Fourrié, P. Brousseau, C. Augros, A. Baron, M. Cacciani, A. Comerón, B. De Rosa, V. Ducrocq, P. Genau, L. Labatut, C. Muñoz-Porcar, A. Rodríguez-Gómez, D. Summa, R. Thundathil, V. Wulfmeyer, 2021 : A network of water vapor Raman lidars for improving heavy precipitation forecasting in southern France : introducing the WaLiNeAs initiative. Bulletin of Atmospheric Science and Technology, 2, DOI : 10.1007/s42865-021-00037-6. 2018 Augros, C., O. Caumont, V. Ducrocq, N. Gaussiat, 2018 : Assimilation of radar dual-polarization observations in AROME model. Quarterly Journal of the Royal Meteorological Society, 144(714), 1352-1368, DOI : 10.1002/qj.3269. Borderies, M., O. Caumont, C. Augros, É. Bresson, J. Delanoë, V. Ducrocq, N. Fourrié, T. Le Bastard, M. Nuret, 2018 : Simulation of W-band radar reflectivity for model validation and data assimilation. Quarterly Journal of the Royal Meteorological Society, 144(711), 391-403, DOI : 10.1002/qj.3210. Lac, C., J.-P. Chaboureau, V. Masson, J.-P. Pinty, P. Tulet, J. Escobar, M. Leriche, C. Barthe, B. Aouizerats, C. Augros, P. Aumond, F. Auguste, P. Bechtold, S. Berthet, S. Bieilli, F. Bosseur, O. Caumont, J.-M. Cohard, J. Colin, F. Couvreux, J. Cuxart, G. Delautier, T. Dauhut, V. Ducrocq, J.-B. Filippi, D. Gazen, O. Geoffroy, F. Gheusi, R. Honnert, J.-P. Lafore, C. Lebeaupin Brossier, Q. Libois, T. Lunet, C. Mari, T. Maric, P. Mascart, M. Mogé, G. Molinié, O. Nuissier, F. Pantillon, P. Peyrillé, J. Pergaud, E. Perraud, J. Pianezze, J.-L. Redelsperger, D. Ricard, E. Richard, S. Riette, Q. Rodier, R. Schoetter, L. Seyfried, J. Stein, K. Suhre, M. Taufour, O. Thouron, S. Turner, A. Verrelle, B. Vié, F. Visentin, V. Vionnet, P. Wautelet, 2018 : Overview of the Meso-NH model version 5.4 and its applications. Geoscientific Model Development, 11(5), 1929-1969, DOI : 10.5194/gmd-11-1929-2018. Taufour, Marie, B. Vié, C. Augros, B. Boudevillain, J. Delanoë, G. Delautier, V. Ducrocq, C. Lac, J-P. Pinty, and A. Schwarzenböck. “Evaluation of the Two-Moment Scheme LIMA Based on Microphysical Observations from the HyMeX Campaign.” Quarterly Journal of the Royal Meteorological Society 144, no. 714 (2018) : 1398–1414. https://doi.org/10.1002/qj.3283. 2016 Augros, C., O. Caumont, V. Ducrocq, N. Gaussiat, P. Tabary, 2016 : Comparisons between S, C, and X band polarimetric radar observations and convective-scale simulations of HyMeX first special observing period. Q. J. R. Meteorol. Soc., 142(S1), 347–362, DOI : 10.1002/qj.2572. Augros, C., 2016 : Apport des données polarimétriques radar pour un modèle atmosphérique à échelle convective. Thèse de l’Université Paul Sabatier, Toulouse III. https://tel.archives-ouvertes.fr/tel-01425264 2015 Bousquet, O., A. Berne, J. Delanoe, Y. Dufournet, J. Gourley, J. Van Baelen, C. Augros, L. Besson, B. Boudevillain, O. Caumont, E. Defer, J. Grazioli, D. Jorgensen, P.-E. Kirstetter, J.-F. Ribaud, J. Beck, G. Delrieu, V. Ducrocq, D. Scipion, A. Schwarzenboeck, J. Zwiebel, 2015 : Multifrequency radar observations collected in southern France during HyMeX-SOP1. Bull. Amer. Meteor. Soc., 96(2), 267–282, DOI : 10.1175/BAMS-D-13-00076.1. 2013 Augros, C., Tabary, P., Anquez, A., Moisselin, J.M., Brovelli, P., and Bousquet, O., 2013 : Development of a Nationwide, Low-Level Wind Shear Mosaic in France. Wea. Forecasting, 28, 1241-1260. https://doi.org/10.1175/WAF-D-12-00115.1 Fabry, F., Augros, C., and Bellon, A., 2013 : The Case of Sharp Velocity Transitions in High Vertical Wind Shear When Measuring Doppler Velocities with Narrow Nyquist Intervals, J. Atm. Ocean. Tech., 30:3, 389-394. https://doi.org/10.1175/JTECH-D-12-00151.1 Tabary, P., Augros, C., Champeaux, J.-L., Chèze, J.-L., Faure, D., Idziorek, D., Lorandel, R., Urban, B., & Vogt, V. (2013). Le réseau et les produits radars de Météo-France. La Météorologie. DOI : 10.4267/2042/52050.
2026 INSU/LEFE Collaborative Assessment of Cloud Microphysics schemes in Simulating Severe Weather: A Study of a Hail-producing Storms in Central Argentina (PIs: Vito Galligani IFAECI and Benoît Vié CNRM) 2025 MOPGA Using Convolutional Neural Networks for severe hail detection with the operational radar network in Argentina (Hernan Bechis scientific visit at CNRM) 2025 CNES C3IEL-2 “Cluster for Cloud Evolution, ClimatE and Lightning” (PI: Céline Cornet, LOA) 2021-2025 ANR WaLiNeAS “Water vapor Lidar Network ASsimilation” (PI: Cyrille Flamant, LATMOS) 2023-2025 INSU/LEFE/MANU EXDOMO “EXploitation de DOnnées Massives d’Observation pour l’étude et la prévision de la convection profonde atmosphérique” (co-PI with Marc Mandement) 2020-2022 INSU/LEFE/MANU ASMA “Advanced Statistical Methods for the Study of Atmospheric Deep Convection” porté par Olivier Caumont
2022-2025: Initiation and organisation of atmospheric convection (Ecole Nationale de la Météorologie, Toulouse, France) 2012-2019: Meteorological radar principle and applications (military students and engineer students at Ecole Nationale de la Météorologie, Toulouse)
