Articles | Volume 2, issue 3
https://doi.org/10.5194/wcd-2-795-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wcd-2-795-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Aug 2021
Research article |
| 31 Aug 2021
| 31 Aug 2021
A numerical study to investigate the roles of former Hurricane Leslie, orography and evaporative cooling in the 2018 Aude heavy-precipitation event
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Olivier Caumont
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
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Alan Demortier, Marc Mandement, Vivien Pourret, and Olivier Caumont
EGUsphere, https://doi.org/10.5194/egusphere-2024-1673, https://doi.org/10.5194/egusphere-2024-1673, 2024
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The use of numerical weather prediction models enables the forecasting of hazardous weather situations. The incorporation of new temperature and relative humidity observations from personal weather stations into the French limited-area model is evaluated in this study. This leads to the improvement of the associated near-surface variables of the model during the first hours of the forecast. Examples are provided for a sea breeze case during a heatwave and a fog episode.
Alan Demortier, Marc Mandement, Vivien Pourret, and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 24, 907–927, https://doi.org/10.5194/nhess-24-907-2024, https://doi.org/10.5194/nhess-24-907-2024, 2024
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Improvements in numerical weather prediction models make it possible to warn of hazardous weather situations. The incorporation of new observations from personal weather stations into the French limited-area model is evaluated. It leads to a significant improvement in the modelling of the surface pressure field up to 9 h ahead. Their incorporation improves the location and intensity of the heavy precipitation event that occurred in the South of France in September 2021.
Olivier Caumont, Marc Mandement, François Bouttier, Judith Eeckman, Cindy Lebeaupin Brossier, Alexane Lovat, Olivier Nuissier, and Olivier Laurantin
Nat. Hazards Earth Syst. Sci., 21, 1135–1157, https://doi.org/10.5194/nhess-21-1135-2021, https://doi.org/10.5194/nhess-21-1135-2021, 2021
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This study focuses on the heavy precipitation event of 14 and 15 October 2018, which caused deadly flash floods in the Aude basin in south-western France.
The case is studied from a meteorological point of view using various operational numerical weather prediction systems, as well as a unique combination of observations from both standard and personal weather stations. The peculiarities of this case compared to other cases of Mediterranean heavy precipitation events are presented.
Marc Mandement and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 20, 299–322, https://doi.org/10.5194/nhess-20-299-2020, https://doi.org/10.5194/nhess-20-299-2020, 2020
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The number of connected personal weather stations has dramatically increased in the last years. These weather stations produce a high number of data that need a thorough quality control to unleash their potential. A novel quality-control algorithm now allows us to take full advantage of these data and observe thunderstorms with fine-scale details that cannot be caught by standard networks. These results pave the way for tremendous advances in both understanding and forecasting thunderstorms.
Alan Demortier, Marc Mandement, Vivien Pourret, and Olivier Caumont
EGUsphere, https://doi.org/10.5194/egusphere-2024-1673, https://doi.org/10.5194/egusphere-2024-1673, 2024
Short summary
Short summary
The use of numerical weather prediction models enables the forecasting of hazardous weather situations. The incorporation of new temperature and relative humidity observations from personal weather stations into the French limited-area model is evaluated in this study. This leads to the improvement of the associated near-surface variables of the model during the first hours of the forecast. Examples are provided for a sea breeze case during a heatwave and a fog episode.
Vincent Forcadell, Clotilde Augros, Olivier Caumont, Kévin Dedieu, Maxandre Ouradou, Cloe David, Jordi Figueras i Ventura, Olivier Laurantin, and Hassan Al-Sakka
EGUsphere, https://doi.org/10.5194/egusphere-2024-1336, https://doi.org/10.5194/egusphere-2024-1336, 2024
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This study demonstrates the potential for enhancing severe hail detection through the application of convolutional neural networks (CNNs) to dual-polarization radar data. It is shown that current methods can be calibrated to significantly enhance their performance for severe hail detection. This study establishes the foundation for the solution of a more complex problem: the estimation of the maximum size of hailstones on the ground using deep learning applied to radar data.
Alan Demortier, Marc Mandement, Vivien Pourret, and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 24, 907–927, https://doi.org/10.5194/nhess-24-907-2024, https://doi.org/10.5194/nhess-24-907-2024, 2024
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Improvements in numerical weather prediction models make it possible to warn of hazardous weather situations. The incorporation of new observations from personal weather stations into the French limited-area model is evaluated. It leads to a significant improvement in the modelling of the surface pressure field up to 9 h ahead. Their incorporation improves the location and intensity of the heavy precipitation event that occurred in the South of France in September 2021.
Felix Erdmann, Olivier Caumont, and Eric Defer
Nat. Hazards Earth Syst. Sci., 23, 2821–2840, https://doi.org/10.5194/nhess-23-2821-2023, https://doi.org/10.5194/nhess-23-2821-2023, 2023
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This work develops a novel lightning data assimilation (LDA) technique to make use of Meteosat Third Generation (MTG) Lightning Imager (LI) data in a regional, convection-permitting numerical weather prediction model. The approach combines statistical Bayesian and 3-dimensional variational methods. Our LDA can promote missing convection and suppress spurious convection in the initial state of the model, and it has similar skill to the operational radar data assimilation for rainfall forecasts.
Alistair Bell, Pauline Martinet, Olivier Caumont, Frédéric Burnet, Julien Delanoë, Susana Jorquera, Yann Seity, and Vinciane Unger
Atmos. Meas. Tech., 15, 5415–5438, https://doi.org/10.5194/amt-15-5415-2022, https://doi.org/10.5194/amt-15-5415-2022, 2022
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Cloud radars and microwave radiometers offer the potential to improve fog forecasts when assimilated into a high-resolution model. As this process can be complex, a retrieval of model variables is sometimes made as a first step. In this work, results from a 1D-Var algorithm for the retrieval of temperature, humidity and cloud liquid water content are presented. The algorithm is applied first to a synthetic dataset and then to a dataset of real measurements from a recent field campaign.
Pauline Combarnous, Felix Erdmann, Olivier Caumont, Éric Defer, and Maud Martet
Nat. Hazards Earth Syst. Sci., 22, 2943–2962, https://doi.org/10.5194/nhess-22-2943-2022, https://doi.org/10.5194/nhess-22-2943-2022, 2022
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The objective of this study is to prepare the assimilation of satellite lightning data in the French regional numerical weather prediction system. The assimilation of lightning data requires an observation operator, based on empirical relationships between the lightning observations and a set of proxies derived from the numerical weather prediction system variables. We fit machine learning regression models to our data to yield those relationships and to investigate the best proxy for lightning.
Alistair Bell, Pauline Martinet, Olivier Caumont, Benoît Vié, Julien Delanoë, Jean-Charles Dupont, and Mary Borderies
Atmos. Meas. Tech., 14, 4929–4946, https://doi.org/10.5194/amt-14-4929-2021, https://doi.org/10.5194/amt-14-4929-2021, 2021
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This paper presents work towards making retrievals on the liquid water content in fog and low clouds. Future retrievals will rely on a radar simulator and high-resolution forecast. In this work, real observations are used to assess the errors associated with the simulator and forecast. A selection method to reduce errors associated with the forecast is proposed. It is concluded that the distribution of errors matches the requirements for future retrievals.
Olivier Caumont, Marc Mandement, François Bouttier, Judith Eeckman, Cindy Lebeaupin Brossier, Alexane Lovat, Olivier Nuissier, and Olivier Laurantin
Nat. Hazards Earth Syst. Sci., 21, 1135–1157, https://doi.org/10.5194/nhess-21-1135-2021, https://doi.org/10.5194/nhess-21-1135-2021, 2021
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This study focuses on the heavy precipitation event of 14 and 15 October 2018, which caused deadly flash floods in the Aude basin in south-western France.
The case is studied from a meteorological point of view using various operational numerical weather prediction systems, as well as a unique combination of observations from both standard and personal weather stations. The peculiarities of this case compared to other cases of Mediterranean heavy precipitation events are presented.
Nadia Fourrié, Mathieu Nuret, Pierre Brousseau, and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 21, 463–480, https://doi.org/10.5194/nhess-21-463-2021, https://doi.org/10.5194/nhess-21-463-2021, 2021
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The assimilation impact of four observation data sets on forecasts is studied in a mesoscale weather model. The ground-based Global Navigation Satellite System (GNSS) zenithal total delay data set with information on humidity has the largest impact on analyses and forecasts, representing an evenly spread and frequent data set for each analysis time over the model domain. Moreover, the reprocessing of these data also improves the forecast quality, but this impact is not statistically significant.
Felix Erdmann, Eric Defer, Olivier Caumont, Richard J. Blakeslee, Stéphane Pédeboy, and Sylvain Coquillat
Atmos. Meas. Tech., 13, 853–875, https://doi.org/10.5194/amt-13-853-2020, https://doi.org/10.5194/amt-13-853-2020, 2020
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This article compares lightning observations from an optical sensor onboard the International Space Station to two ground-based networks using different radio frequencies. The location and timing of coincident flashes agree well for the three instruments. Differences exist for the detected number of flashes and the characteristics. Small flashes in particular are not always detected by all three instruments. About half of the flashes at altitudes below 10 km are not seen by the satellite sensor.
Marc Mandement and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 20, 299–322, https://doi.org/10.5194/nhess-20-299-2020, https://doi.org/10.5194/nhess-20-299-2020, 2020
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The number of connected personal weather stations has dramatically increased in the last years. These weather stations produce a high number of data that need a thorough quality control to unleash their potential. A novel quality-control algorithm now allows us to take full advantage of these data and observe thunderstorms with fine-scale details that cannot be caught by standard networks. These results pave the way for tremendous advances in both understanding and forecasting thunderstorms.
Tony Le Bastard, Olivier Caumont, Nicolas Gaussiat, and Fatima Karbou
Atmos. Meas. Tech., 12, 5669–5684, https://doi.org/10.5194/amt-12-5669-2019, https://doi.org/10.5194/amt-12-5669-2019, 2019
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The estimation of surface rainfall from radars becomes less effective at long ranges or in mountainous regions where the radar beam is far from the ground. The method proposed in this paper investigates how vertical profiles simulated from high-resolution model can be used to predict the evolution of the precipitation below the radar beam. Our results show that this novel method leads to better results than the current operational methods that either use climatological or idealised profiles.
Stefano Federico, Rosa Claudia Torcasio, Elenio Avolio, Olivier Caumont, Mario Montopoli, Luca Baldini, Gianfranco Vulpiani, and Stefano Dietrich
Nat. Hazards Earth Syst. Sci., 19, 1839–1864, https://doi.org/10.5194/nhess-19-1839-2019, https://doi.org/10.5194/nhess-19-1839-2019, 2019
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This study shows the possibility to improve the weather forecast at the very short range (0–3 h) using lightning and/or radar reflectivity observations. We consider two challenging events that occurred over Italy, named Serrano and Livorno, characterized by moderate and exceptional rainfall, respectively.
The improvement given to the forecast by using the lightning and/or radar reflectivity observations is considerable. The best performance is obtained when using both data.
Nadia Fourrié, Mathieu Nuret, Pierre Brousseau, Olivier Caumont, Alexis Doerenbecher, Eric Wattrelot, Patrick Moll, Hervé Bénichou, Dominique Puech, Olivier Bock, Pierre Bosser, Patrick Chazette, Cyrille Flamant, Paolo Di Girolamo, Evelyne Richard, and Frédérique Saïd
Geosci. Model Dev., 12, 2657–2678, https://doi.org/10.5194/gmd-12-2657-2019, https://doi.org/10.5194/gmd-12-2657-2019, 2019
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The AROME-WMED (western Mediterranean) model is a dedicated version of the mesoscale Numerical Weather Prediction AROME-France model that ran in real time during the first special observation period of HyMeX. Two reanalyses were performed after the campaign. This paper depicts the main differences between the real-time version and the benefits brought by both HyMeX reanalyses. The second reanalysis is found to be closer to observations than the previous AROME-WMED analyses.
Mary Borderies, Olivier Caumont, Julien Delanoë, Véronique Ducrocq, Nadia Fourrié, and Pascal Marquet
Nat. Hazards Earth Syst. Sci., 19, 907–926, https://doi.org/10.5194/nhess-19-907-2019, https://doi.org/10.5194/nhess-19-907-2019, 2019
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The potential of W-band radar reflectivity to improve the quality of analyses and forecasts of heavy precipitation events in the Mediterranean area is investigated. The 1D + 3DVar assimilation method has been adapted to assimilate the W-band reflectivity in the Météo-France kilometre-scale NWP model AROME. The results suggest that the joint assimilation of W-band reflectivity and horizontal wind profiles lead to a slight improvement of moisture analyses and rainfall precipitation forecasts.
Mary Borderies, Olivier Caumont, Julien Delanoë, Véronique Ducrocq, and Nadia Fourrié
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The study reports on the impact of the assimilation of wind data from airborne Doppler cloud-profiling radar in a kilometre-scale NWP model on predicting heavy precipitation events in the Mediterranean area. The positive impact of the assimilation of such data is particularly evidenced for a heavy precipitation event and results are slightly encouraging over a 45-day period. In addition, the impact of the length of the assimilation window in a 3h-3DVar assimilation system is investigated.
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Atmos. Meas. Tech., 10, 3947–3961, https://doi.org/10.5194/amt-10-3947-2017, https://doi.org/10.5194/amt-10-3947-2017, 2017
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Emmanouil Flaounas, Matthias Röthlisberger, Maxi Boettcher, Michael Sprenger, and Heini Wernli
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Stefan Rüdisühli, Michael Sprenger, David Leutwyler, Christoph Schär, and Heini Wernli
Weather Clim. Dynam., 1, 675–699, https://doi.org/10.5194/wcd-1-675-2020, https://doi.org/10.5194/wcd-1-675-2020, 2020
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Davide Faranda
Weather Clim. Dynam., 1, 445–458, https://doi.org/10.5194/wcd-1-445-2020, https://doi.org/10.5194/wcd-1-445-2020, 2020
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Cited articles
Ayphassorho, H., Pipien, G., Guion de Meritens, I., and Lacroix, D.: Retour
d'expérience des inondations du 14 au 17 octobre 2018 dans l'Aude, available at:
https://cgedd.documentation.developpement-durable.gouv.fr/notice?id=Affaires-0011552&reqId=548839ae-f685-4c3d-bbdb-9452154f508c&pos=12
(last access: 20 July 2021), 2019. a, b
Barrett, A. I., Gray, S. L., Kirshbaum, D. J., Roberts, N. M., Schultz, D. M., and Fairman Jr., J. G.: Synoptic versus orographic control on stationary
convective banding, Q. J. Roy. Meteorol. Soc., 141, 1101–1113, https://doi.org/10.1002/qj.2409, 2015. a
Bougeault, P. and Lacarrere, P.: Parameterization of Orography-Induced
Turbulence in a Mesobeta–Scale Model, Mon. Weather Rev., 117, 1872–1890, https://doi.org/10.1175/1520-0493(1989)117<1872:POOITI>2.0.CO;2, 1989. a
Bouin, M.-N., Redelsperger, J.-L., and Lebeaupin Brossier, C.: Processes
leading to deep convection and sensitivity to sea-state representation during
HyMeX IOP8 heavy precipitation event, Q. J. Roy. Meteorol. Soc., 143, 2600–2615, https://doi.org/10.1002/qj.3111, 2017. a
Bresson, E., Ducrocq, V., Nuissier, O., Ricard, D., and de Saint-Aubin, C.:
Idealized numerical simulations of quasi-stationary convective systems over
the Northwestern Mediterranean complex terrain, Q. J. Roy. Meteorol. Soc., 138, 1751–1763, https://doi.org/10.1002/qj.1911, 2012. a
Brousseau, P., Seity, Y., Ricard, D., and Léger, J.: Improvement of the
forecast of convective activity from the AROME-France system, Q. J. Roy. Meteorol. Soc., 142, 2231–2243, https://doi.org/10.1002/qj.2822, 2016. a
Buzzi, A., Davolio, S., Malguzzi, P., Drofa, O., and Mastrangelo, D.: Heavy
rainfall episodes over Liguria in autumn 2011: numerical forecasting
experiments, Nat. Hazards Earth Syst. Sci., 14, 1325–1340,
https://doi.org/10.5194/nhess-14-1325-2014, 2014. a
Caumont, O., Mandement, M., Bouttier, F., Eeckman, J., Lebeaupin Brossier, C., Lovat, A., Nuissier, O., and Laurantin, O.: 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, Nat. Hazards Earth Syst. Sci., 21, 1135–1157,
https://doi.org/10.5194/nhess-21-1135-2021, 2021. a, b, c, d, e, f
Centre national de la recherche scientifique, Météo-France, Université Toulouse-III-Paul-Sabatier: MESO-NH mesoscale non-hydrostatic model, available at: http://mesonh.aero.obs-mip.fr/, last access: 20 July 2021. a
Chappell, C. F.: Quasi-Stationary Convective Events, American Meteorological Society, Boston, MA, 289–310, https://doi.org/10.1007/978-1-935704-20-1_13, 1986. a
Charnock, H.: Wind stress on a water surface, Q. J. Roy. Meteorol. Soc., 81, 639–640, https://doi.org/10.1002/qj.49708135027, 1955. a
Chazette, P., Flamant, C., Shang, X., Totems, J., Raut, J.-C., Doerenbecher,
A., Ducrocq, V., Fourrié, N., Bock, O., and Cloché, S.: A multi-instrument and multi-model assessment of atmospheric moisture variability over the western Mediterranean during HyMeX, Q. J. Roy. Meteorol. Soc., 142, 7–22, https://doi.org/10.1002/qj.2671, 2016. a
Chen, S.-H. and Lin, Y.-L.: Effects of Moist Froude Number and CAPE on a
Conditionally Unstable Flow over a Mesoscale Mountain Ridge, J. Atmos. Sci., 62, 331–350, https://doi.org/10.1175/JAS-3380.1, 2005. a, b, c
Colella, P. and Woodward, P. R.: The Piecewise Parabolic Method (PPM) for
gas-dynamical simulations, J. Comput. Phys., 54, 174–201,
https://doi.org/10.1016/0021-9991(84)90143-8, 1984. a
Cosma, S., Richard, E., and Miniscloux, F.: The role of small-scale orographic features in the spatial distribution of precipitation, Q. J. of
Roy. Meteorol. Soc., 128, 75–92, https://doi.org/10.1256/00359000260498798, 2002. a, b
Courtier, P., Freydier, C., Geleyn, J.-F., Rabier, F., and Rochas, M.: The
Arpege project at Météo-France, in: vol. 2, Seminar on Numerical Methods in Atmospheric Models, 9–13 September 1991, 193–232, ECMWF,
available at: https://www.ecmwf.int/node/8798 (last access: 20 July 2021), 1991. a
Cuxart, J., Bougeault, P., and Redelsperger, J.-L.: A turbulence scheme
allowing for mesoscale and large-eddy simulations, Q. J. Roy. Meteorol. Soc., 126, 1–30, https://doi.org/10.1002/qj.49712656202, 2000. a
Davolio, S., Volonté, A., Manzato, A., Pucillo, A., Cicogna, A., and Ferrario, M. E.: Mechanisms producing different precipitation patterns over
north-eastern Italy: insights from HyMeX-SOP1 and previous events, Q. J. Roy. Meteorol. Soc., 142, 188–205, https://doi.org/10.1002/qj.2731, 2016. a
Davolio, S., Fera, S. D., Laviola, S., Miglietta, M. M., and Levizzani, V.:
Heavy Precipitation over Italy from the Mediterranean Storm “Vaia” in
October 2018: Assessing the Role of an Atmospheric River, Mon. Weather Rev., 148, 3571–3588, https://doi.org/10.1175/MWR-D-20-0021.1, 2020. a
Di Girolamo, P., Flamant, C., Cacciani, M., Richard, E., Ducrocq, V., Summa,
D., Stelitano, D., Fourrié, N., and Saïd, F.: Observation of low-level wind reversals in the Gulf of Lion area and their impact on the water vapour
variability, Q. J. Roy. Meteorol. Soc., 142, 153–172, https://doi.org/10.1002/qj.2767, 2016. a
Ducrocq, V., Davolio, S., Ferretti, R., Flamant, C., Santaner, V. H., Kalthoff, N., Richard, E., and Wernli, H.: Introduction to the HyMeX Special Issue on `Advances in understanding and forecasting of heavy precipitation in the Mediterranean through the HyMeX SOP1 field campaign', Q. J. Roy. Meteorol. Soc., 142, 1–6, https://doi.org/10.1002/qj.2856, 2016. a, b
Duffourg, F. and Ducrocq, V.: Assessment of the water supply to Mediterranean heavy precipitation: a method based on finely designed water budgets, Atmos. Sci. Lett., 14, 133–138, https://doi.org/10.1002/asl2.429, 2013. a
Duffourg, F., Nuissier, O., Ducrocq, V., Flamant, C., Chazette, P., Delanoë, J., Doerenbecher, A., Fourrié, N., Di Girolamo, P., Lac, C., Legain, D., Martinet, M., Saïd, F., and Bock, O.: Offshore deep convection initiation and maintenance during the HyMeX IOP 16a heavy precipitation event, Q. J. Roy. Meteorol. Soc., 142, 259–274, https://doi.org/10.1002/qj.2725, 2016. a, b
Duffourg, F., Lee, K.-O., Ducrocq, V., Flamant, C., Chazette, P., and
Di Girolamo, P.: Role of moisture patterns in the backbuilding formation of
HyMeX IOP13 heavy precipitation systems, Q. J. Roy. Meteorol. Soc., 144, 291–303, https://doi.org/10.1002/qj.3201, 2018. a, b, c
Fairall, C. W., Bradley, E. F., Rogers, D. P., Edson, J. B., and Young, G. S.: Bulk parameterization of air-sea fluxes for Tropical Ocean-Global Atmosphere Coupled-Ocean Atmosphere Response Experiment, J. Geophys. Res.-Oceans, 101, 3747–3764, https://doi.org/10.1029/95JC03205, 1996. a
Fairall, C. W., Bradley, E. F., Hare, J. E., Grachev, A. A., and Edson, J. B.: Bulk Parameterization of Air–Sea Fluxes: Updates and Verification for the COARE Algorithm, J. Climate, 16, 571–591,
https://doi.org/10.1175/1520-0442(2003)016<0571:BPOASF>2.0.CO;2, 2003. a
FAO, IIASA, ISRIC, ISS-CAS, JRC: Harmonized World Soil Database version 1.2, available at:
https://webarchive.iiasa.ac.at/Research/LUC/External-World-soil-database/HTML/
(last access: 20 July 2021), 2012. a
Faroux, S., Kaptué Tchuenté, A. T., Roujean, J.-L., Masson, V., Martin, E., and Le Moigne, P.: ECOCLIMAP-II/Europe: a twofold database of ecosystems and surface parameters at 1 km resolution based on satellite information for use in land surface, meteorological and climate models, Geosci. Model Dev., 6, 563–582, https://doi.org/10.5194/gmd-6-563-2013, 2013. a
Farr, T. G., Rosen, P. A., Caro, E., Crippen, R., Duren, R., Hensley, S.,
Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S.,
Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., and Alsdorf, D.:
The Shuttle Radar Topography Mission, Rev. Geophys., 45, RG2004,
https://doi.org/10.1029/2005RG000183, 2007. a
Fouquart, Y. and Bonnel, B.: Computations of solar heating of the Earth's
atmosphere: a new parameterization, Beitr. Phys. Atmos., 53, 35–62, 1980. a
French Insurance Federation: The lethal floods that affected south-east France from 22–24 November caused losses with a provisional estimated cost of 285 million Euros, available at:
https://www.ffa-assurance.fr/en/media-room/press-release/lethal-floods-affected-south-east-france-22-24-november-
caused-losses (last access: 20 July 2021), 2019. a
Gal-Chen, T. and Somerville, R. C.: On the use of a coordinate transformation
for the solution of the Navier-Stokes equations, J. Comput. Phys., 17, 209–228, https://doi.org/10.1016/0021-9991(75)90037-6, 1975. a
Gheusi, F. and Stein, J.: Lagrangian description of airflows using Eulerian
passive tracers, Q. J. Roy. Meteorol. Soc., 128, 337–360, https://doi.org/10.1256/00359000260498914, 2002. a
Gosnell, R., Fairall, C. W., and Webster, P. J.: The sensible heat of rainfall in the tropical ocean, J. Geophys. Res.-Oceans, 100, 18437–18442, https://doi.org/10.1029/95JC01833, 1995. a
Grams, C. M. and Blumer, S. R.: European high-impact weather caused by the
downstream response to the extratropical transition of North Atlantic
Hurricane Katia (2011), Geophys. Res. Lett., 42, 8738–8748,
https://doi.org/10.1002/2015GL066253, 2015. a, b
Kirshbaum, D. J., Adler, B., Kalthoff, N., Barthlott, C., and Serafin, S.:
Moist Orographic Convection: Physical Mechanisms and Links to
Surface-Exchange Processes, Atmosphere, 9, 80, https://doi.org/10.3390/atmos9030080, 2018. a, b
Kreitz, M., Calas, C., and Baille, S.: Inondations de l'Aude du 15 octobre 2018: analyse météorologique, conséquences hydrologiques et prévisibilité, La Météorologie, 8, 46–64, https://doi.org/10.37053/lameteorologie-2020-0067, 2020. a
Lac, C., Chaboureau, J.-P., Masson, V., Pinty, J.-P., Tulet, P., Escobar, J.,
Leriche, M., Barthe, C., Aouizerats, B., Augros, C., Aumond, P., Auguste, F.,
Bechtold, P., Berthet, S., Bielli, S., Bosseur, F., Caumont, O., Cohard, J.-M., Colin, J., Couvreux, F., Cuxart, J., Delautier, G., Dauhut, T.,
Ducrocq, V., Filippi, J.-B., Gazen, D., Geoffroy, O., Gheusi, F., Honnert,
R., Lafore, J.-P., Lebeaupin Brossier, C., Libois, Q., Lunet, T., Mari, C.,
Maric, T., Mascart, P., Mogé, M., Molinié, G., Nuissier, O., Pantillon, F., Peyrillé, P., Pergaud, J., Perraud, E., Pianezze, J., Redelsperger, J.-L., Ricard, D., Richard, E., Riette, S., Rodier, Q., Schoetter, R., Seyfried, L., Stein, J., Suhre, K., Taufour, M., Thouron, O., Turner, S., Verrelle, A., Vié, B., Visentin, F., Vionnet, V., and Wautelet, P.: Overview of the Meso-NH model version 5.4 and its applications, Geosci.Model Dev., 11, 1929–1969, https://doi.org/10.5194/gmd-11-1929-2018, 2018. a
Lebeaupin, C., Ducrocq, V., and Giordani, H.: Sensitivity of torrential rain
events to the sea surface temperature based on high-resolution numerical
forecasts, J. Geophys. Res.-Atmos., 111, D12110, https://doi.org/10.1029/2005JD006541, 2006. a
Lee, K.-O., Flamant, C., Duffourg, F., Ducrocq, V., and Chaboureau, J.-P.:
Impact of upstream moisture structure on a back-building convective precipitation system in south-eastern France during HyMeX IOP13, Atmos. Chem. Phys., 18, 16845–16862, https://doi.org/10.5194/acp-18-16845-2018, 2018. a
Lorenzo-Lacruz, J., Amengual, A., Garcia, C., Morán-Tejeda, E., Homar, V., Maimó-Far, A., Hermoso, A., Ramis, C., and Romero, R.:
Hydro-meteorological reconstruction and geomorphological impact assessment
of the October 2018 catastrophic flash flood at Sant Llorenç, Mallorca
(Spain), Nat. Hazards Earth Syst. Sci., 19, 2597–2617,
https://doi.org/10.5194/nhess-19-2597-2019, 2019. a
Louis, J.-F.: A parametric model of vertical eddy fluxes in the atmosphere,
Bound.-Lay. Meteorol., 17, 187–202, https://doi.org/10.1007/BF00117978, 1979. a
Machado, L. A. T. and Chaboureau, J.-P.: Effect of Turbulence Parameterization on Assessment of Cloud Organization, Mon. Weather Rev., 143, 3246–3262, https://doi.org/10.1175/MWR-D-14-00393.1, 2015. a
Mandement, M. and Caumont, O.: Contribution of personal weather stations to
the observation of deep-convection features near the ground, Nat. Hazards
Earth Syst. Sci., 20, 299–322, https://doi.org/10.5194/nhess-20-299-2020, 2020. a, b
Martinet, M., Nuissier, O., Duffourg, F., Ducrocq, V., and Ricard, D.:
Fine-scale numerical analysis of the sensitivity of the HyMeX IOP16a heavy
precipitating event to the turbulent mixing-length parametrization, Q. J. Roy. Meteorol. Soc., 143, 3122–3135, https://doi.org/10.1002/qj.3167, 2017. a
Masson, V.: A Physically-Based Scheme For The Urban Energy Budget In
Atmospheric Models, Bound.-Lay. Meteorol., 94, 357–397, https://doi.org/10.1023/A:1002463829265, 2000. a
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. a
Météo-France: Portail de données publiques de Météo-France, available at: https://donneespubliques.meteofrance.fr/, last access: 20 July 2021. a
Miglietta, M. M. and Rotunno, R.: Numerical Simulations of Sheared Conditionally Unstable Flows over a Mountain Ridge, J. Atmos. Sci., 71, 1747–1762, https://doi.org/10.1175/JAS-D-13-0297.1, 2014. a
Miltenberger, A. K., Pfahl, S., and Wernli, H.: An online trajectory module
(version 1.0) for the nonhydrostatic numerical weather prediction model COSMO, Geosci. Model Dev., 6, 1989–2004, https://doi.org/10.5194/gmd-6-1989-2013, 2013. a
Miniscloux, F., Creutin, J. D., and Anquetin, S.: Geostatistical Analysis of
Orographic Rainbands, J. Appl. Meteorol., 40, 1835–1854,
https://doi.org/10.1175/1520-0450(2001)040<1835:GAOOR>2.0.CO;2, 2001. a
Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S. A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated
correlated-k model for the longwave, J. Geophys. Res.- Atmos., 102, 16663–16682, https://doi.org/10.1029/97JD00237, 1997. a
NOAA NESDIS: Remnants of Hurricanes Michael and Leslie Reach Europe, available at:
https://www.nesdis.noaa.gov/content/remnants-hurricanes-michael-and-leslie-reach-europe
(last access: 20 July 2021), 2018. a
NOAA NWS National Hurricane Center: Hurricane Leslie Advisory Number 69, available at:
https://www.nhc.noaa.gov/archive/2018/al13/al132018.public.069.shtml
(last access: 20 July 2021), 2018a. a
NOAA NWS National Hurricane Center: Hurricane Leslie Advisory Number 70, available at:
https://www.nhc.noaa.gov/archive/2018/al13/al132018.public.070.shtml
(last access: 20 July 2021), 2018b. a
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. a
Nuissier, O., Ducrocq, V., Ricard, D., Lebeaupin, C., and Anquetin, S.: A
numerical study of three catastrophic precipitating events over southern
France. I: Numerical framework and synoptic ingredients, Q. J. Roy. Meteorol. Soc., 134, 111–130, https://doi.org/10.1002/qj.200, 2008. a, b
Nuissier, O., Marsigli, C., Vincendon, B., Hally, A., Bouttier, F., Montani,
A., and Paccagnella, T.: Evaluation of two convection-permitting ensemble
systems in the HyMeX Special Observation Period (SOP1) framework, Q. J. Roy. Meteorol. Soc., 142, 404–418, https://doi.org/10.1002/qj.2859, 2016. a
Pantillon, F., Chaboureau, J.-P., and Richard, E.: Remote impact of North
Atlantic hurricanes on the Mediterranean during episodes of intense rainfall
in autumn 2012, Q. J. Roy. Meteorol. Soc., 141, 967–978, https://doi.org/10.1002/qj.2419, 2015. a, b
Pergaud, J., Masson, V., Malardel, S., and Couvreux, F.: A Parameterization of Dry Thermals and Shallow Cumuli for Mesoscale Numerical Weather Prediction, Bound.-Lay. Meteorol., 132, 1573–1472, https://doi.org/10.1007/s10546-009-9388-0, 2009. a
Petrucci, O., Aceto, L., Bianchi, C., Bigot, V., Brázdil, R., Pereira, S., Inbar, M., Kahraman, A., Kılıç, O., Kotroni, V., Llasat, M. C.,
Llasat-Botija, M., Mercuri, M., Papagiannaki, K., Řehoř, J., Rossello-Geli, J., Salvati, P., Vinet, F., and Zêzere, J. L.: EUropean Flood Fatalities (EUFF) database 1980–2018 (updated),
https://doi.org/10.4121/UUID:489D8A13-1075-4D2F-ACCB-DB7790E4542F, 2020. a
Pinty, J.-P. and Jabouille, P.: A mixed-phase cloud parameterization for use in mesoscale non-hydrostatic model: simulations of a squall line and of
orographic precipitations., in: Proceedings of the Conference of Cloud
Physics, American Meteorological Society, 17–21 August 1998, Everett, WA, USA, 217–220, 1998. a
Reinecke, P. A. and Durran, D. R.: Estimating Topographic Blocking Using a
Froude Number When the Static Stability Is Nonuniform, J. Atmos. Sci., 65, 1035–1048, https://doi.org/10.1175/2007JAS2100.1, 2008. a
Ricard, D.: Modélisation à haute résolution: des pluies intenses dans les Cévennes – Le système convectif des 13 et 14 octobre 1995, La Météorologie, 8, 28–38, https://doi.org/10.4267/2042/56316, 2005. a
Ricard, D., Ducrocq, V., and Auger, L.: A Climatology of the Mesoscale
Environment Associated with Heavily Precipitating Events over a Northwestern
Mediterranean Area, J. Appl. Meteorol. Clim., 51, 468–488, https://doi.org/10.1175/JAMC-D-11-017.1, 2012. a, b, c
Santurette, P. and Joly, A.: ANASYG/PRESYG, Météo-France's new graphical summary of the synoptic situation, Meteorol. Appl., 9, 129–154,
https://doi.org/10.1017/S1350482702002013, 2002.
a
Schär, C. and Wernli, H.: Structure and evolution of an isolated
semi-geostrophic cyclone, Q. J. Roy. Meteorol. Soc., 119, 57–90, https://doi.org/10.1002/qj.49711950904, 1993. a
Seity, Y., Brousseau, P., Malardel, S., Hello, G., Bénard, P., Bouttier, F., Lac, C., and Masson, V.: The AROME-France Convective-Scale Operational
Model, Mon. Weather Rev., 139, 976–991, https://doi.org/10.1175/2010MWR3425.1, 2011. a
Trapero, L., Bech, J., and Lorente, J.: Numerical modelling of heavy
precipitation events over Eastern Pyrenees: Analysis of orographic effects,
Atmos. Res., 123, 368–383, https://doi.org/10.1016/j.atmosres.2012.09.014, 2013. a
Webb, E. K., Pearman, G. I., and Leuning, R.: Correction of flux measurements
for density effects due to heat and water vapour transfer, Q. J. Roy. Meteorol. Soc., 106, 85–100, https://doi.org/10.1002/qj.49710644707, 1980. a
Short summary
On 14–15 October 2018, in the Aude department (France), a heavy-precipitation event produced up to about 300 mm of rain in 11 h. Simulations carried out show that the former Hurricane Leslie, while involved, was not the first supplier of moisture over the entire event. The location of the highest rainfall was primarily driven by the location of a quasi-stationary front and secondarily by the location of precipitation bands downwind of mountains bordering the Mediterranean Sea.
On 14–15 October 2018, in the Aude department (France), a heavy-precipitation event produced up...
