CAUMONT Olivier



Olivier CAUMONT

CNRM UMR 3589 (Météo-France/CNRS)

GMME/PRECIP

Meso-scale modelling group

Convective precipitation and impacts

42, Av. G. Coriolis

31057 Toulouse Cedex 1, France

Tél. +33 (0) 5 61 07 96 46

Fax +33 (0) 5 61 07 96 26

email : olivier (dot) caumont (at) meteo (dot) fr

ORCID iD iconorcid.org/0000-0002-6470-2023

My main affiliation is now: Forecasting Operations Department, Météo-France, Toulouse, France.

  Research

Simulation/assimilation of observations for atmospheric forecasting of deep convection at fine scale:

Hydrometeorological integrated forecast systems for flash-flood prediction (Hally et al., 2015; Parodi et al., 2017).

 Short resume

Employment:

  • 2021–: Deputy director, Météo-France Forecasting Operations;
  • 2018-2021: Research scientist (HDR, "rang A", i.e., equivalent to Professor), head of the Precip team, CNRM;
  • 2009-2017: Research scientist, head of the Micado team, CNRM;
  • 2005-2009: Research scientist, CNRM.

Education:

  • 2016: Habilitation (Habilitation à Diriger des Recherches, HDR)
    Use of remote-sensing data for the numerical prediction of deep convection at fine scale.
  • 2007: PhD in atmospheric sciences (advisors: Dr. Véronique Ducrocq and Dr. François Bouttier)
    Radar data simulation and assimilation for fine-scale forecasting of deep convection.

 Current projects

  PhD students

In progress

  • Alan Demortier (co-supervised with Mr. Vivien Pourret and Dr. Marc Mandement; since 2021): Use of connected weather sensor data for short-range numerical prediction of deep convection.
  • Vincent Forcadell (co-supervised with Dr. Clotilde Augros; since 2021): Hail diagnostic in near real time.

Past

  • Pauline Combarnous (co-supervised with Dr. Maud Martet and Dr. Éric Defer; 2023): Meteosat Third Generation Lightning Imager(MTG-LI) data assimilation for thunderstorm numerical weather prediction.
  • Alistair Bell (co-supervised with Dr. Pauline Martinet; 2022): Towards Fog Forecast Improvement through the Instrumental Synergy of Cloud Radars and Microwave Radiometers.
  • Felix Erdmann (co-supervised with Dr. Éric Defer; 2020): Preparation for the use of MTG LI observations in short-term numerical weather prediction.
  • Marc Mandement (2020): Crowdsourced weather stations contribution in the study of deep convection at a fine scale.
  • Tony Le Bastard (contribution to the supervision with Drs. Fatima Karbou (dir.) and Nicolas Gaussiat; 2019): Use of volume radar data and a high-resolution numerical weather prediction model for improved quantitative precipitation estimations in plains and mountains.
  • Mary Borderies (co-supervised with Drs. Véronique Ducrocq (dir.); 2018): Assimilation of airborne cloud radar data during the HyMeX field campaign.
  • Clotilde Augros (co-supervised with Drs. Véronique Ducrocq (dir.), Pierre Tabary, Nicolas Gaussiat; 2016): Impact of the assimilation of polarimetric radar data in a fine-scale atmospheric model.

 Publications

Peer-reviewed publications
International journals
2023

  • Erdmann, F., O. Caumont, É. Defer, 2023: Assimilation of Meteosat Third Generation (MTG) Lightning Imager (LI) pseudo-observations in AROME-France – proof of concept. Natural Hazards and Earth System Sciences, 23(8), 2821-2840. DOI: 10.5194/nhess-23-2821-2023.

2022

  • Bell, A., P. Martinet, O. Caumont, F. Burnet, J. Delanoë, S. Jorquera, Y. Seity, V. Unger, 2022: An optimal estimation algorithm for the retrieval of fog and low cloud thermodynamic and micro-physical properties. Atmospheric Measurement Techniques, 15(18), 5415-5438. DOI: 10.5194/amt-15-5415-2022.
  • Combarnous, P., F. Erdmann, O. Caumont, É. Defer, and M. Martet, 2022: A satellite lightning observation operator for storm-scale numerical weather prediction. Natural Hazards and Earth System Sciences, 22(9), 2943–2962. DOI: 10.5194/nhess-22-2943-2022.
  • Erdmann, F., O. Caumont, É. Defer, 2022: A geostationary lightning pseudo-observation generator utilizing low-frequency ground-based lightning observations. Journal of Atmospheric and Oceanic Technology, 39(1), 3-30, DOI: 10.1175/jtech-d-20-0160.1.

2021

  • Bell, A., P. Martinet, O. Caumont, B. Vié, J. Delanoë, J.-C. Dupont, M. Borderies, 2021: W-band radar observations for fog forecast improvement: an analysis of model and forward operator errors. Atmospheric Measurement Techniques, 14(7), 4929-4946, DOI: 10.5194/amt-14-4929-2021.
  • Caumont, O., M. Mandement, F. Bouttier, J. Eeckman, C. Lebeaupin Brossier, A. Lovat, O. Nuissier, O. Laurantin, 2021: The heavy precipitation event of 14–15 October 2018 in the Aude catchment: a meteorological study based on operational numerical weather prediction systems and standard and personal observations. Natural Hazards and Earth System Sciences, 21, 1135–1157, DOI: 10.5194/nhess-21-1135-2021.
  • 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.
  • Fourrié, N., M. Nuret, P. Brousseau, O. Caumont, 2021: Data assimilation impact studies with the AROME-WMED reanalysis of the first special observation period of the Hydrological cycle in the Mediterranean Experiment. Natural Hazards and Earth System Sciences, 21, 463–480, DOI: 10.5194/nhess-21-463-2021.
  • Majumdar, S. J., J. Sun, B. Golding, P. Joe, J. Dudhia, O. Caumont, K. C. Gouda, P. Steinle, B. Vincendon, J. Wang, N. Yussouf, 2021: Multiscale forecasting of high-impact weather: Current status and future challenges. Bulletin of the American Meteorological Society, 102, E635–E659, DOI: 10.1175/BAMS-D-20-0111.1.
  • Mandement, M., O. Caumont, 2021: A numerical study to investigate the roles of former Hurricane Leslie, orography and evaporative cooling in the 2018 Aude heavy-precipitation event. Weather and Climate Dynamics, 2, 795-818, DOI: 10.5194/wcd-2-795-2021.

2020

  • Erdmann, F., E. Defer, O. Caumont, R. J. Blakeslee, S. Pédeboy, S. Coquillat, 2020: Concurrent satellite and ground-based lightning observations from the Optical Lightning Imaging Sensor (ISS-LIS), the low-frequency network Meteorage and the SAETTA Lightning Mapping Array (LMA) in the northwestern Mediterranean region. Atmospheric Measurement Techniques, 13(2), 853-875, DOI: 10.5194/amt-13-853-2020.
  • Mandement, M., O. Caumont, 2020: Contribution of personal weather stations to the observation of deep convection features near the ground. Natural Hazards and Earth System Sciences, 20(1), 299-322, DOI: 10.5194/nhess-20-299-2020.

2019

  • Borderies, M., O. Caumont, J. Delanoë, V. Ducrocq, N. Fourrié, 2019a: Assimilation of wind data from airborne Doppler cloud-profiling radar in a kilometre-scale NWP system. Natural Hazards and Earth System Sciences, 19(4), 821-835, DOI: 10.5194/nhess-19-821-2019.
  • Borderies, M., O. Caumont, J. Delanoë, V. Ducrocq, N. Fourrié, P. Marquet, 2019b: Impact of airborne cloud radar reflectivity data assimilation on kilometre-scale NWP analyses and forecasts of heavy precipitation events. Natural Hazards and Earth System Sciences, 19(4), 907-926, DOI: 10.5194/nhess-19-907-2019.
  • Federico, S., R. C. Torcasio, E. Avolio, O. Caumont, M. Montopoli, L. Baldini, G. Vulpiani, S. Dietrich, 2019 : The impact of lightning and radar data assimilation on the performance of very short term rainfall forecast for two case studies in Italy. Natural Hazards and Earth System Sciences, 19(8), 1839–1864, DOI: 10.5194/nhess-19-1839-2019.
  • Fourrié, N., M. Nuret, P. Brousseau, O. Caumont, A. Doerenbecher, E. Wattrelot, P. Moll, H. Bénichou, D. Puech, O. Bock, P. Bosser, P. Chazette, C. Flamant, P. Di Girolamo, E. Richard, F. Saïd, 2019: The AROME-WMED reanalyses of the first special observation period of the Hydrological cycle in the Mediterranean experiment (HyMeX). Geoscientific Model Development, 12(7), 2657-2678, DOI: 10.5194/gmd-12-2657-2019.
  • Le Bastard, T., O. Caumont, N. Gaussiat, F. Karbou, 2019: Combined use of volume radar observations and high-resolution numerical weather predictions to estimate precipitation at the ground: methodology and proof of concept. Atmospheric Measurement Techniques, 12(10), 5669–5684, DOI: 10.5194/amt-12-5669-2019.

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.

2017

  • De Angelis, F., D. Cimini, U. Löhnert, O. Caumont, A. Haefele, B. Pospichal, P. Martinet, F. Navas-Guzmán, H. Klein-Baltink, J.-C. Dupont, J. Hocking, 2017: Long-term observations minus background monitoring of ground-based brightness temperatures from a microwave radiometer network. Atmos. Meas. Tech., 10, 3947–3961, DOI: 10.5194/amt-10-3947-2017.
  • Parodi, A., D. Kranzlmueller, A. Clematis, E. Danovaro, A. Galizia, L. Garrote, M. C. Llasat, O. Caumont, E. Richard, Q. Harpham, F. Siccardi, L. Ferraris, N. Rebora, F. Delogu, E. Fiori, L. Molini, E. Foufoula-Georgiou, D. D’Agostino, 2017: DRIHM(2US): an e-Science environment for hydro-meteorological research on high impact weather events. Bull. Amer. Meteor. Soc., DOI: 10.1175/bams-d-16-0279.1.

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.
  • Besson, L., O. Caumont, L. Goulet, S. Bastin, L. Menut, E. Bresson, N. Fourrié, F. Fabry, J. Parent du Châtelet, 2016: Comparison of refractivity measurement by radar with automatic weather stations, AROME-WMED and WRF forecasts simulations during the SOP1 of HyMeX campaign. Q. J. R. Meteorol. Soc., 142(S1), 138–152, DOI : 10.1002/qj.2799.
  • Caumont, O., D. Cimini, U. Löhnert, L. Alados-Arboledas, R. Bleisch, F. Buffa, M. E. Ferrario, A. Haefele, T. Huet, F. Madonna, G. Pace, 2016: Assimilation of humidity and temperature observations retrieved from ground-based microwave radiometers into a convective-scale NWP model. Q. J. R. Meteorol. Soc., 142(700), 2692–2704, DOI: 10.1002/qj.2860.

2015

  • Bauer, H.-S., T. Schwitalla, V. Wulfmeyer, A. Bakhshaii, U. Ehret, M. Neuper, O. Caumont, 2015: Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF - a performance test, Tellus A, 67. DOI: 10.3402/tellusa.v67.25047.
  • 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.
  • Hally, A., O. Caumont, L. Garrote, É. Richard, A. Weerts, F. Delogu, E. Fiori, N. Rebora, A. Parodi, A. Mihalović, M. Ivković, L. Dekić, W. van Verseveld, O. Nuissier, V. Ducrocq, D. D’Agostino, A. Galizia, E. Danovaro, A. Clematis, 2015: Hydrometeorological multi-model ensemble simulations of the 4 November 2011 flash flood event in Genoa, Italy, in the framework of the DRIHM project, Nat. Hazards Earth Syst. Sci., 15, 537-555. DOI: 10.5194/nhess-15-537-2015.

2014

  • Wattrelot, É., O. Caumont, J.-F. Mahfouf, 2014: Operational implementation of the 1D+3D-Var assimilation method of radar reflectivity data in the AROME model. Mon. Wea. Rev., 142(5), 1852–1873, DOI: 10.1175/MWR-D-13-00230.1.

2013

  • Caumont, O., A. Foray, L. Besson, J. Parent du Châtelet, 2013: A radar refractivity change observation operator for convective-scale models: Comparison of observations and simulations. Bound.-Lay. Meteorol., 148(2), 379–397, DOI: 10.1007/s10546-013-9820-3.

2012

  • Parent du Châtelet, J., C. Boudjabi, L. Besson, O. Caumont, 2012: Errors caused by long-term drifts of magnetron frequencies for refractivity measurement with a radar: Theoretical formulation and initial validation. J. Atmos. Oceanic Technol., 29(10), 1428–1434, DOI: 10.1175/JTECH-D-12-00070.1.
  • Besson, L., C. Boudjabi, O. Caumont, J. Parent du Châtelet, 2012: Links between weather phenomena and characteristics of refractivity measured by precipitation radar. Bound.-Lay. Meteorol., 143(1), 77–95, DOI: 10.1007/s10546-011-9656-7.

2010

  • Caumont, O., V. Ducrocq, É. Wattrelot, G. Jaubert, S. Pradier-Vabre, 2010: 1D+3DVar assimilation of radar reflectivity data: A proof of concept. Tellus A, 62(2), 173–187, DOI: 10.1111/j.1600-0870.2009.00430.x.

2009

  • Pradier-Vabre, S., C. Forster, W. W. M. Heesbeen, C. Pagé, S. Sénési, A. Tafferner, I. Bernard-Bouissières, O. Caumont, A. Drouin, V. Ducrocq, Y. Guillou, P. Josse, 2009: Description of convective-scale numerical weather simulation use in a flight simulator within the Flysafe project. Meteor. Atmos. Phys., 103(1–4), 127–136, DOI: 10.1007/s00703-008-0317-4.

2008

  • Caumont, O. , V. Ducrocq, 2008: What should be considered when simulating Doppler velocities measured by ground-based weather radars? J. Appl. Meteor. Climatol., 47(8), 2256–2262, DOI: 10.1175/2008JAMC1894.1.

2006

  • Brenot, H., V. Ducrocq, A. Walpersdorf, C. Champollion, O. Caumont, 2006: GPS zenith delay sensitivity evaluated from high-resolution numerical weather prediction simulations of the 8–9 September 2002 flash flood over southeastern France. J. Geophys. Res., 111(D15105), DOI: 10.1029/2004JD005726.
  • Caumont, O., V. Ducrocq, G. Delrieu, M. Gosset, J. Parent du Châtelet, J.-P. Pinty, H. Andrieu, Y. Lemaître, G. Scialom, 2006: A radar simulator for high-resolution nonhydrostatic models. J. Atmos. Oceanic Technol., 23(8), 1049–1067, DOI: 10.1175/JTECH1905.1.

2004

  • Friedrich, K., O. Caumont, 2004: Dealiasing Doppler velocities measured by a bistatic radar network during a downburst-producing thunderstorm. J. Atmos. Oceanic Technol., 21(5), 717–729, DOI: 10.1175/1520-0426(2004)021<0717:DDVMBA> 2.0.CO;2.

National journals
2013

  • Besson, L., O. Caumont, J. Parent du Châtelet, 2013 : La réfractivité radar : vers une cartographie de l’humidité en très basse couche de l’atmosphère. La Météorologie, 8(83), 81–89, DOI: 10.4267/2042/52057. (in French)
  • Mahfouf, J., O. Caumont, T. Montmerle, É. Wattrelot, V. Ducrocq, 2013 : Assimilation des données radar dans le modèle Arome. La Météorologie, 8(83), 42–49, DOI: 10.4267/2042/52053. (in French)

2010

  • Doerenbecher, A., S. Argence, C. Cassou, O. Caumont, L. Descamps, V. Ducrocq, N. Fourrié, V. Guidard, G. Jaubert, A. Joly, D. Lambert, C. Lebeaupin-Brossier, T. Pangaud, E. Sánchez-Gómez, O. Talagrand, L. Terray, B. Vincendon, 2010 : Projet Cyprim, partie III : Cyclogenèses et précipitations intenses : éléments de prévisibilité, besoins en observations (Cyclogenesis and heavy precipitations: some aspects of predictability, observational needs). La Météorologie, 68, 23–34. (in French)

Other publications
2014

  • D’Agostino, D., A. Clematis, A. Galizia, A. Quarati, E. Danovaro, L. Roverelli, G. Zereik, D. Kranzlmüller, M. Schiffers, N. gentschen Felde, C. Straube, O. Caumont, E. Richard, L. Garrote, Q. Harpham, H. R. A. Jagers, V. Dimitrijević, L. Dekić, E. Fiori, F. Delogu, A. Parodi, 2014: The DRIHM project: a flexible approach to integrate HPC, Grid and Cloud resources for hydro-meteorological research. Proc. Int. Conf. for High Performance Computing, Networking, Storage, and Analysis (SC14) (New Orleans, LA, 16-21 Nov. 2014). Abstract no. pap377, 536-546. DOI: 10.1109/sc.2014.49.
  • Danovaro, E., L. Roverelli, G. Zereik, A. Galizia, D. D’Agostino, A. Quarati, A. Clematis, F. Delogu, E. Fiori, A. Parodi, C. Straube, N. Felde, Q. Harpham, B. Jagers, L. Garrote, L. Dekic, M. Ivkovic, E. Richard, O. Caumont, 2014: Setting up an hydro-meteo experiment in minutes: the DRIHM e-infrastructure for hydro-meteorology research. Proc. 10th IEEE Int. Conf. eScience (IEEE eScience 2014) (Guarujá, Brazil, 20-24 Oct. 2014). Abstract no. 79, 47-54. DOI: 10.1109/escience.2014.40.
  • Galizia, A., D. D’Agostino, A. Quarati, G. Zereik, L. Roverelli, E. Danovaro, A. Clematis, E. Fiori, F. Delogu, A. Parodi, C. Straube, N. Felde, M. Schiffers, D. Kranzlmüller, Q. Harpham, B. Jagers, L. Garrote, V. Dimitrijevic, L. Dekic, O. Caumont, E. Richard, 2014: Towards an interoperable and distributed e-Infrastructure for Hydro-Meteorology: the DRIHM project. Proc. 7th Int. Congress on Environmental Modelling and Software (San Diego, CA, 15-19 June 2014). Edited by D. P. Ames, N. W. T. Quinn, A. Rizzoli. V. 1. International Environmental Modelling and Software Society (iEMSs), 407-414. URL: http://www.iemss.org/society/index.php/iemss-2014-proceedings.

2007

  • Caumont, O., 2007 : Simulation et assimilation de données radar pour la prévision de la convection profonde à fine échelle (Radar data simulation and assimilation for fine-scale forecasting of deep convection). Ph.D. thesis, Université Paul Sabatier, Toulouse, France, 252 p. (in French) (link here or there)

Reports / Books

  • Montmerle, T., É. Wattrelot, C. Faccani, O. Caumont, M. Jurašek, G. Haase, 2008: Regional scale assimilation of radar data at Météo-France. HIRLAM Tech. Rep., 68, 40–53, URL:
    http://www.hirlam.org/index.php?option=com_docman&task=doc_download&gid=162&Itemid=70.
  • Caumont, O., 2003 : Restitutions radar simultanées de propriétés microphysiques et dynamiques au nord des Alpes. Note de centre du Groupe de météorologie à moyenne échelle no 80, Météo-France, 60 p. (in French)


No one shall be held responsible, scientifically or otherwise for the content of these pages / articles, but the authors themselves and in no way the responsibility of the CNRM .