Clotilde AUGROS

Use of dual-polarisation radar observations for the characterisation and forecast of thunderstorms and their impacts.

Ingénieure Divisionnaire des Travaux Météo France

Email : clotilde.augrosDear bot, you won't get my mail address@and my domain...meteo.fr

CV / functions

I am a researcher in the PRECIP team at CNRM, with 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)

Research

My research within the GMME/PRECIP team mainly focuses on using radar observations to improve the characterisation and forecasting of thunderstorms and their impacts. This includes enhancing convective-scale numerical weather prediction (NWP) models (e.g., AROME) by evaluating microphysics schemes, detecting hail via machine learning, and assimilating novel observations such as dual-polarisation radar data. I have also contributed to hectometric-scale simulations for convective cases over Paris, to study the urbanisation effect on convection. My research relies on numerous collaborations, particularly through the supervision of PhD students, postdoctoral researchers and master’s students. I am also co-leading the Météo-France’s COPHY, which coordinates the evaluation of the physics in Météo-France’s NWP models. I have participated in national and international initiatives, including the Paris 2024 Olympics Research Demonstration Project, the ANR WaLiNeAS, the CNES C3IEL and the ASMA, EXDOMO and ACMS INSU/LEFE projects.

Responsibilities

Post-Doctoral researchers

Ongoing:

sept 2025 – dec 2026 Hernan Bechis (Hail detection using CNNs, MOPGA grant)

Past:

2022 – 2023 Guillaume Thomas (monitoring water vapour lidar observations, ANR WALINEAS)
2024 – 2025 Jérémy Ottaviano (assimilation of water vapour lidar observations, ANR WALINEAS)

PhD candidates

Past:

2022-2026 Cloé David (co-supervised with Benoît Vié et François Bouttier), PhD SDU2E: Improving AROME’s Polarimetric Radar Simulations: Assessment of different Microphysics schemes and Radar Forward Operator options.
2021-2024 : Vincent Forcadell (co-supervised with Olivier Caumont), PhD CIFRE with Descartes Underwriting: Hail detection using deep learning applied to dual-polarisation radar observations.
2021-2024 : Arnaud Forster (co-supervised with Valéry Masson), FCPLR Météo France: Hectometric resolution weather forecast for extreme meteorological events in cities : application to 2024 Paris Olympic Games.
2021- 2025 : Matthieu Vernay (co-supervised with Matthieu Lafaysse), PhD Météo France : Complementarity of satellite snow observations and radar precipitation observations for mountain snowpack modelling

Master students

Past:

2026 : Juliette Bonnet (co-supervised with Cécile Caillaud, GMGEC/MOSCA): Evaluation of the severe hail diagnostic in the climate km-RCM model CNRM-AROME over France.
2025 : Louis Tariot (co-supervised avec Pierre Lepetit et Thibaut Montmerle): Evaluation and consolidation of a ML algorithm for hail size detection.
2024 : Maxandre Ouradou (co-supervised avec Pierre Lepetit) : Value of AI for hail size detection using dual-polarisation radar observations.
2023 : Kelly Doeuvre (co-supervised avec Arnaud Forster) : Thunderstorms climatology in the Paris region using radar and lightning observations.
2022 : Cloé David (co-supervised avec Benoît Vié) : Use of radar dual-polarisation observations for the evaluation of microphysics schemes in Meso-NH for a severe thunderstorm case

Publications

2026

Masson, V., Wurtz, J., Coning, E. de, Abeillé, P., Blunn, L., Forster, A., Hanley, K., Kumar, V., Lean, H., Leroyer, S., Ma, X., Montmerle, T., Ruin, I., Sanchez, O., Sartelet, K., Saya, A., Schulz, J.-P., Varnet, G., Antoine, S., Arik, A., Augros, C., … Zonato, A. (2026). The Paris 2024 Olympics Research Demonstration Project. Bulletin of the American Meteorological Society, 107(9), E2130–E2151. https://doi.org/10.1175/BAMS-D-25-0008.1

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, under review. 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

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., Augros, C., & Masson, V. (2024). Urban influence on convective precipitation in the Paris region: Hectometric ensemble simulations in a case study. Quarterly Journal of the Royal Meteorological Society, 150(762), 3028–3051. https://doi.org/10.1002/qj.4749

Vernay, M., Lafaysse, M., & Augros, C. : Radar-based high-resolution ensemble precipitation analyses over the French Alps. Atmospheric Measurement Techniques, 18(8), 1731–1755. https://doi.org/10.5194/amt-18-1731-2025

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.

Projects

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)
2026-2027 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” (PI: Olivier Caumont)

Teaching

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)

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