Articles | Volume 3, issue 3
https://doi.org/10.5194/wcd-3-863-2022
© Author(s) 2022. 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-3-863-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Aug 2022
Research article |
| 04 Aug 2022
| 04 Aug 2022
Diabatic processes modulating the vertical structure of the jet stream above the cold front of an extratropical cyclone: sensitivity to deep convection schemes
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Laboratoire de Météorologie Dynamique/IPSL, Ecole Normale Supérieure, PSL Research University, Sorbonne University, École Polytechnique, IP Paris, CNRS, Paris, France
Gwendal Rivière
Laboratoire de Météorologie Dynamique/IPSL, Ecole Normale Supérieure, PSL Research University, Sorbonne University, École Polytechnique, IP Paris, CNRS, Paris, France
Philippe Arbogast
Direction des Opérations pour la prévision, Météo-France, Toulouse, France
Jean-Marcel Piriou
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Julien Delanoë
LATMOS-IPSL, CNRS/INSU, University of Versailles, Guyancourt, France
Carole Labadie
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Quitterie Cazenave
LATMOS-IPSL, CNRS/INSU, University of Versailles, Guyancourt, France
Jacques Pelon
LATMOS-IPSL, CNRS/INSU, University of Versailles, Guyancourt, France
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Lea Raillard, Audran Borella, Gwendal Rivière, Niels Dutrievoz, Meryl Wimmer, Ionela Musat, and Étienne Vignon
EGUsphere, https://doi.org/10.5194/egusphere-2026-5432, https://doi.org/10.5194/egusphere-2026-5432, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Climate models struggle to predict snowfall near the poles, which matters for tracking ice sheet changes. We built a new, efficient snowfall scheme for a global climate model and tested it using aircraft and ground radar data from Arctic Svalbard and Antarctica. The improved model better captures how snow forms and falls through clouds, bringing us closer to reliable predictions of polar snowfall, and showing where further refinements are needed.
Nathan Feuillard, Felipe Toledo Bittner, Lukas Pfitzenmaier, Jean-François Ribaud, Julien Delanoë, Martial Haeffelin, and Jean-Charles Dupont
Atmos. Meas. Tech., 19, 6075–6097, https://doi.org/10.5194/amt-19-6075-2026, https://doi.org/10.5194/amt-19-6075-2026, 2026
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The Earth Cloud, Aerosol, and Radiation Explorer (EarthCARE) satellite was recently launched and its data needs to be validated. This work focus on the comparison of the data observed from the radar of EarthCARE and from the ground radars of the European Aerosol, Clouds and Trace Gases Research Infrastructure network. We find a very small difference between the data observed by the satellite and the data from the ground, confirming the high quality of the satellite’s radar calibration.
François Ravetta, Thomas Lesigne, Vincent Mariage, and Jacques Pelon
Atmos. Meas. Tech., 19, 5831–5842, https://doi.org/10.5194/amt-19-5831-2026, https://doi.org/10.5194/amt-19-5831-2026, 2026
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The Balloonborne Cloud Observing micrOLidar (BeCOOL) is an airborne profiler designed to be operated from the stratosphere. It weights less than 6 kg and requires on average less than 4 W to work automatically onboard a gondola attached below a stratospheric balloon. Given its sensitivity and spatial resolution, this microlidar can be used to characterize the optical properties and the life cycle of cirrus clouds, or to calibrate and validate satellite observations of clouds and aerosol layers.
Nicolas Chiabrando, Gwendal Rivière, Étienne Vignon, and Julien Delanoë
EGUsphere, https://doi.org/10.5194/egusphere-2026-3987, https://doi.org/10.5194/egusphere-2026-3987, 2026
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
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Arctic cyclones are large-scale depressions evolving within the Arctic circle. We study a summertime Arctic cyclone that moved near Svalbard in 2022 and was well observed during the THINICE field campaign to understand what controls the intensity of a near-surface wind jet associated with the cyclone. We find that clouds and near-surface frictional effects globally strengthened the wind while the cyclone was growing, but became much less important after it evolved toward a cold-core structure.
Heather Corden, Julien Delanoë, Massimo Del Guasta, and Alexis Berne
EGUsphere, https://doi.org/10.5194/egusphere-2026-3964, https://doi.org/10.5194/egusphere-2026-3964, 2026
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In Antarctica, intrusions of warm, moist air from the coast to the high plateau are responsible for a significant proportion of the snow accumulating on the ice sheet each year. We present a case study of an intrusion in East Antarctica in February 2025. Meteorological radars along a 1100-km transect were used to investigate the processes leading to precipitation in the intrusion. The processes vary according to the changing temperature, humidity and wind dynamics between the coast and plateau.
Anthony J. Baran, Stuart Fox, Richard Cotton, Julien Delanoë, Christopher J. Walden, Karina McCusker, Christopher D. Westbrook, and Peter G. Huggard
Atmos. Meas. Tech., 19, 4367–4392, https://doi.org/10.5194/amt-19-4367-2026, https://doi.org/10.5194/amt-19-4367-2026, 2026
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We demonstrate how multi-frequency ground-based radars at 3, 35 and 94 GHz can be used to determine vertical profiles of ice-particle size spectra by combining reflectivity with machine-learning prior information on UK wintertime ice clouds. The method is validated using independent profiles from a 200 GHz radar and aircraft-based in-situ observations. It gives a consistent representation to compare with aircraft-based radiometric measurements in future radiative-transfer closure studies.
Aymeric Dziduch, Antoine Baudoux, Guillaume Mioche, Antoine Canzi, Benjamin Doiteau, Manuel Moser, Emma Järvinen, Étienne Vignon, Jean-Christophe Raut, Régis Dupuy, Christophe Gourbeyre, Jean-Luc Baray, Marie Monier, Frédéric Szczap, Guillaume Penide, Julien Delanoë, Odran Sourdeval, Alfons Schwarzenboeck, Stephan Mertes, Franz Martin Schnaiter, Christiane Voigt, Mario Mech, Susanne Crewell, Andreas Herber, Christof Lüpkes, André Ehrlich, Manfred Wendisch, and Olivier Jourdan
EGUsphere, https://doi.org/10.5194/egusphere-2026-3265, https://doi.org/10.5194/egusphere-2026-3265, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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This study examines the microphysical properties and ice crystal habits of low-level Arctic mixed-phase clouds around Svalbard. Using airborne in situ observations from four campaigns, we show that cloud microphysical structure and ice crystal habits are influenced by weather conditions and surface type. These results provide quantitative observations to better understand low-level Arctic clouds, their ice formation processes, and their influence on the Arctic atmosphere and climate system.
Aymeric Dziduch, Guillaume Mioche, Quentin Coopman, Clément Bazantay, Julien Delanoë, and Olivier Jourdan
Atmos. Chem. Phys., 26, 4019–4047, https://doi.org/10.5194/acp-26-4019-2026, https://doi.org/10.5194/acp-26-4019-2026, 2026
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Low-level clouds play a central role in the Arctic climate by regulating energy exchanges between the surface and the atmosphere. Using eight years of CALIPSO–CloudSat observations, this study investigates the regional and seasonal variability of Arctic low-level cloud types. Mixed-phase and supercooled liquid clouds are frequent over oceanic regions, especially during transition seasons. Their occurrence is strongly influenced by surface coupling, temperature, stability, and cold-air outbreaks.
Romain Joseph, Jérôme Vidot, Julien Delanoë, and Emmanuel Fontaine
EGUsphere, https://doi.org/10.5194/egusphere-2026-48, https://doi.org/10.5194/egusphere-2026-48, 2026
Preprint archived
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We used aircraft radar measurements inside tropical storm clouds to estimate their ice content, then simulated satellite observations using a radiative transfer model. By testing different assumptions about the shape and number of ice crystals, we examined how these choices influence the simulated radiances. We found that satellite information for these clouds is mainly controlled by conditions near the cloud top, while deeper layers remain largely hidden.
Sandrine Bony, Basile Poujol, Brett McKim, Nicolas Rochetin, Marie Lothon, Julia Windmiller, Nicolas Maury, Clarisse Dufaux, Louis Jaffeux, Patrick Chazette, and Julien Delanoë
Atmos. Chem. Phys., 25, 17331–17362, https://doi.org/10.5194/acp-25-17331-2025, https://doi.org/10.5194/acp-25-17331-2025, 2025
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Space photographs of the Earth show that clouds form diverse, common but poorly understood cloud patterns. The analysis of observations gathered from research aircraft over the tropical ocean shows that the merging of thermals and clouds in the first kilometer of the atmosphere plays a key role in controlling the size, depth and spacing of clouds. This reveals a fundamental process through which clouds interact with each other and with their environment.
Guillaume Feger, Jean-Pierre Chaboureau, Thibaut Dauhut, Julien Delanoë, and Pierre Coutris
Atmos. Chem. Phys., 25, 7447–7465, https://doi.org/10.5194/acp-25-7447-2025, https://doi.org/10.5194/acp-25-7447-2025, 2025
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Saharan air at the trade wind layer, cold pools, and dry upper troposphere has these three main factors inhibiting the cyclogenesis of the Pierre Henri mesoscale convective system. The findings were obtained through observations made during two flights of the Clouds-Atmospheric Dynamics-Dust Interactions in West Africa (CADDIWA) campaign and a convection-permitting simulation run with the Meso-NH model. They provide new insights into the complex dynamics of cyclogenesis in the Cabo Verde region and challenge the existing model of the Saharan Air Layer (SAL).
Aymeric Dziduch, Guillaume Mioche, Quentin Coopman, Clément Bazantay, Julien Delanoë, and Olivier Jourdan
EGUsphere, https://doi.org/10.5194/egusphere-2025-2698, https://doi.org/10.5194/egusphere-2025-2698, 2025
Preprint archived
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Low-level clouds play a central role in the Arctic climate, modulating the surface energy budget with competing warming and cooling effects. In this study, radar-lidar satellite products are used to investigate the geographical and seasonal variations of different cloud types observed over eight years. Oceanic regions are characterized by high occurrences of low-level mixed-phase clouds, which are influenced by atmospheric stability conditions, surface temperatures and cold air outbreaks.
Théophane Costabloz, Frédéric Burnet, Christine Lac, Pauline Martinet, Julien Delanoë, Susana Jorquera, and Maroua Fathalli
Atmos. Chem. Phys., 25, 6539–6573, https://doi.org/10.5194/acp-25-6539-2025, https://doi.org/10.5194/acp-25-6539-2025, 2025
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This study documents vertical profiles of liquid water content (LWC) in fogs from in situ measurements collected during the SOFOG3D field campaign in 2019–2020. The analysis of 140 vertical profiles reveals a reverse trend in LWC, maximum values at ground decreasing with height, during stable conditions in optically thin fogs, evolving towards quasi-adiabatic characteristics when fogs become thick. These results offer new perspectives for better constraining fog numerical simulations.
Gérard Ancellet, Camille Viatte, Anne Boynard, François Ravetta, Jacques Pelon, Cristelle Cailteau-Fischbach, Pascal Genau, Julie Capo, Axel Roy, and Philippe Nédélec
Atmos. Chem. Phys., 24, 12963–12983, https://doi.org/10.5194/acp-24-12963-2024, https://doi.org/10.5194/acp-24-12963-2024, 2024
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Characterization of ozone pollution in urban areas benefited from a measurement campaign in summer 2022 in the Paris region. The analysis is based on 21 d of lidar and aircraft observations. The main objective is an analysis of the sensitivity of ozone pollution to the micrometeorological processes in the urban atmospheric boundary layer and the transport of regional pollution. The paper also discusses to what extent satellite observations can track observed ozone plumes.
Manfred Wendisch, Susanne Crewell, André Ehrlich, Andreas Herber, Benjamin Kirbus, Christof Lüpkes, Mario Mech, Steven J. Abel, Elisa F. Akansu, Felix Ament, Clémantyne Aubry, Sebastian Becker, Stephan Borrmann, Heiko Bozem, Marlen Brückner, Hans-Christian Clemen, Sandro Dahlke, Georgios Dekoutsidis, Julien Delanoë, Elena De La Torre Castro, Henning Dorff, Regis Dupuy, Oliver Eppers, Florian Ewald, Geet George, Irina V. Gorodetskaya, Sarah Grawe, Silke Groß, Jörg Hartmann, Silvia Henning, Lutz Hirsch, Evelyn Jäkel, Philipp Joppe, Olivier Jourdan, Zsofia Jurányi, Michail Karalis, Mona Kellermann, Marcus Klingebiel, Michael Lonardi, Johannes Lucke, Anna E. Luebke, Maximilian Maahn, Nina Maherndl, Marion Maturilli, Bernhard Mayer, Johanna Mayer, Stephan Mertes, Janosch Michaelis, Michel Michalkov, Guillaume Mioche, Manuel Moser, Hanno Müller, Roel Neggers, Davide Ori, Daria Paul, Fiona M. Paulus, Christian Pilz, Felix Pithan, Mira Pöhlker, Veronika Pörtge, Maximilian Ringel, Nils Risse, Gregory C. Roberts, Sophie Rosenburg, Johannes Röttenbacher, Janna Rückert, Michael Schäfer, Jonas Schaefer, Vera Schemann, Imke Schirmacher, Jörg Schmidt, Sebastian Schmidt, Johannes Schneider, Sabrina Schnitt, Anja Schwarz, Holger Siebert, Harald Sodemann, Tim Sperzel, Gunnar Spreen, Bjorn Stevens, Frank Stratmann, Gunilla Svensson, Christian Tatzelt, Thomas Tuch, Timo Vihma, Christiane Voigt, Lea Volkmer, Andreas Walbröl, Anna Weber, Birgit Wehner, Bruno Wetzel, Martin Wirth, and Tobias Zinner
Atmos. Chem. Phys., 24, 8865–8892, https://doi.org/10.5194/acp-24-8865-2024, https://doi.org/10.5194/acp-24-8865-2024, 2024
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The Arctic is warming faster than the rest of the globe. Warm-air intrusions (WAIs) into the Arctic may play an important role in explaining this phenomenon. Cold-air outbreaks (CAOs) out of the Arctic may link the Arctic climate changes to mid-latitude weather. In our article, we describe how to observe air mass transformations during CAOs and WAIs using three research aircraft instrumented with state-of-the-art remote-sensing and in situ measurement devices.
Clémantyne Aubry, Julien Delanoë, Silke Groß, Florian Ewald, Frédéric Tridon, Olivier Jourdan, and Guillaume Mioche
Atmos. Meas. Tech., 17, 3863–3881, https://doi.org/10.5194/amt-17-3863-2024, https://doi.org/10.5194/amt-17-3863-2024, 2024
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Radar–lidar synergy is used to retrieve ice, supercooled water and mixed-phase cloud properties, making the most of the radar sensitivity to ice crystals and the lidar sensitivity to supercooled droplets. A first analysis of the output of the algorithm run on the satellite data is compared with in situ data during an airborne Arctic field campaign, giving a mean percent error of 49 % for liquid water content and 75 % for ice water content.
Karina McCusker, Anthony J. Baran, Chris Westbrook, Stuart Fox, Patrick Eriksson, Richard Cotton, Julien Delanoë, and Florian Ewald
Atmos. Meas. Tech., 17, 3533–3552, https://doi.org/10.5194/amt-17-3533-2024, https://doi.org/10.5194/amt-17-3533-2024, 2024
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Polarised radiative transfer simulations are performed using an atmospheric model based on in situ measurements. These are compared to large polarisation measurements to explore whether such measurements can provide information on cloud ice, e.g. particle shape and orientation. We find that using oriented particle models with shapes based on imagery generally allows for accurate simulations. However, results are sensitive to shape assumptions such as the choice of single crystals or aggregates.
Thomas Lesigne, François Ravetta, Aurélien Podglajen, Vincent Mariage, and Jacques Pelon
Atmos. Chem. Phys., 24, 5935–5952, https://doi.org/10.5194/acp-24-5935-2024, https://doi.org/10.5194/acp-24-5935-2024, 2024
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Upper tropical clouds have a strong impact on Earth's climate but are challenging to observe. We report the first long-duration observations of tropical clouds from lidars flying on board stratospheric balloons. Comparisons with spaceborne observations reveal the enhanced sensitivity of balloon-borne lidar to optically thin cirrus. These clouds, which have a significant coverage and lie in the uppermost troposphere, are linked with the dehydration of air masses on their way to the stratosphere.
Cheikh Dione, Martial Haeffelin, Frédéric Burnet, Christine Lac, Guylaine Canut, Julien Delanoë, Jean-Charles Dupont, Susana Jorquera, Pauline Martinet, Jean-François Ribaud, and Felipe Toledo
Atmos. Chem. Phys., 23, 15711–15731, https://doi.org/10.5194/acp-23-15711-2023, https://doi.org/10.5194/acp-23-15711-2023, 2023
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This paper documents the role of thermodynamics and turbulence in the fog life cycle over southwestern France. It is based on a unique dataset collected during the SOFOG3D field campaign in autumn and winter 2019–2020. The paper gives a threshold for turbulence driving the different phases of the fog life cycle and the role of advection in the night-time dissipation of fog. The results can be operationalised to nowcast fog and improve short-range forecasts in numerical weather prediction models.
Leonie Villiger, Marina Dütsch, Sandrine Bony, Marie Lothon, Stephan Pfahl, Heini Wernli, Pierre-Etienne Brilouet, Patrick Chazette, Pierre Coutris, Julien Delanoë, Cyrille Flamant, Alfons Schwarzenboeck, Martin Werner, and Franziska Aemisegger
Atmos. Chem. Phys., 23, 14643–14672, https://doi.org/10.5194/acp-23-14643-2023, https://doi.org/10.5194/acp-23-14643-2023, 2023
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This study evaluates three numerical simulations performed with an isotope-enabled weather forecast model and investigates the coupling between shallow trade-wind cumulus clouds and atmospheric circulations on different scales. We show that the simulations reproduce key characteristics of shallow trade-wind clouds as observed during the field experiment EUREC4A and that the spatial distribution of stable-water-vapour isotopes is shaped by the overturning circulation associated with these clouds.
Abdanour Irbah, Julien Delanoë, Gerd-Jan van Zadelhoff, David P. Donovan, Pavlos Kollias, Bernat Puigdomènech Treserras, Shannon Mason, Robin J. Hogan, and Aleksandra Tatarevic
Atmos. Meas. Tech., 16, 2795–2820, https://doi.org/10.5194/amt-16-2795-2023, https://doi.org/10.5194/amt-16-2795-2023, 2023
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The Cloud Profiling Radar (CPR) and ATmospheric LIDar (ATLID) aboard the EarthCARE satellite are used to probe the Earth's atmosphere by measuring cloud and aerosol profiles. ATLID is sensitive to aerosols and small cloud particles and CPR to large ice particles, snowflakes and raindrops. It is the synergy of the measurements of these two instruments that allows a better classification of the atmospheric targets and the description of the associated products, which are the subject of this paper.
Pragya Vishwakarma, Julien Delanoë, Susana Jorquera, Pauline Martinet, Frederic Burnet, Alistair Bell, and Jean-Charles Dupont
Atmos. Meas. Tech., 16, 1211–1237, https://doi.org/10.5194/amt-16-1211-2023, https://doi.org/10.5194/amt-16-1211-2023, 2023
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Cloud observations are necessary to characterize the cloud properties at local and global scales. The observations must be translated to cloud geophysical parameters. This paper presents the estimation of liquid water content (LWC) using radar and microwave radiometer (MWR) measurements. Liquid water path from MWR scales LWC and retrieves the scaling factor (ln a). The retrievals are compared with in situ observations. A climatology of ln a is built to estimate LWC using only radar information.
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.
Sebastian Schemm, Lukas Papritz, and Gwendal Rivière
Weather Clim. Dynam., 3, 601–623, https://doi.org/10.5194/wcd-3-601-2022, https://doi.org/10.5194/wcd-3-601-2022, 2022
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Much of the change in our daily weather patterns is due to the development and intensification of extratropical cyclones. The response of these systems to climate change is an important topic of ongoing research. This study is the first to reproduce the changes in the North Atlantic circulation and extratropical cyclone characteristics found in fully coupled Earth system models under high-CO2 scenarios, but in an idealized, reduced-complexity simulation with uniform warming.
Sandrine Bony, Marie Lothon, Julien Delanoë, Pierre Coutris, Jean-Claude Etienne, Franziska Aemisegger, Anna Lea Albright, Thierry André, Hubert Bellec, Alexandre Baron, Jean-François Bourdinot, Pierre-Etienne Brilouet, Aurélien Bourdon, Jean-Christophe Canonici, Christophe Caudoux, Patrick Chazette, Michel Cluzeau, Céline Cornet, Jean-Philippe Desbios, Dominique Duchanoy, Cyrille Flamant, Benjamin Fildier, Christophe Gourbeyre, Laurent Guiraud, Tetyana Jiang, Claude Lainard, Christophe Le Gac, Christian Lendroit, Julien Lernould, Thierry Perrin, Frédéric Pouvesle, Pascal Richard, Nicolas Rochetin, Kevin Salaün, Alfons Schwarzenboeck, Guillaume Seurat, Bjorn Stevens, Julien Totems, Ludovic Touzé-Peiffer, Gilles Vergez, Jessica Vial, Leonie Villiger, and Raphaela Vogel
Earth Syst. Sci. Data, 14, 2021–2064, https://doi.org/10.5194/essd-14-2021-2022, https://doi.org/10.5194/essd-14-2021-2022, 2022
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The French ATR42 research aircraft participated in the EUREC4A international field campaign that took place in 2020 over the tropical Atlantic, east of Barbados. We present the extensive instrumentation of the aircraft, the research flights and the different measurements. We show that the ATR measurements of humidity, wind, aerosols and cloudiness in the lower atmosphere are robust and consistent with each other. They will make it possible to advance understanding of cloud–climate interactions.
Thibault Vaillant de Guélis, Gérard Ancellet, Anne Garnier, Laurent C.-Labonnote, Jacques Pelon, Mark A. Vaughan, Zhaoyan Liu, and David M. Winker
Atmos. Meas. Tech., 15, 1931–1956, https://doi.org/10.5194/amt-15-1931-2022, https://doi.org/10.5194/amt-15-1931-2022, 2022
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A new IIR-based cloud and aerosol discrimination (CAD) algorithm is developed using the IIR brightness temperature differences for cloud and aerosol features confidently identified by the CALIOP version 4 CAD algorithm. IIR classifications agree with the majority of V4 cloud identifications, reduce the ambiguity in a notable fraction of
not confidentV4 cloud classifications, and correct a few V4 misclassifications of cloud layers identified as dense dust or elevated smoke layers by CALIOP.
Lilian Loyer, Jean-Christophe Raut, Claudia Di Biagio, Julia Maillard, Vincent Mariage, and Jacques Pelon
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-326, https://doi.org/10.5194/amt-2021-326, 2021
Revised manuscript not accepted
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The Arctic is facing drastic climate changes, and more observations are needed to better understand what is happening. Unfortunately observations are limited in the High Arctic. To obtain more observations, multiples buoys equipped with lidar, have been deployed in this region. This paper presents an approach to estimate the optical properties of clouds, and solar plus terrestrial energies from lidar measurements in the Arctic.
Gwendal Rivière, Meryl Wimmer, Philippe Arbogast, Jean-Marcel Piriou, Julien Delanoë, Carole Labadie, Quitterie Cazenave, and Jacques Pelon
Weather Clim. Dynam., 2, 1011–1031, https://doi.org/10.5194/wcd-2-1011-2021, https://doi.org/10.5194/wcd-2-1011-2021, 2021
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Inacurracies in representing processes occurring at spatial scales smaller than the grid scales of the weather forecast models are important sources of forecast errors. This is the case of deep convection representation in models with 10 km grid spacing. We performed simulations of a real extratropical cyclone using a model with different representations of deep convection. These forecasts lead to different behaviors in the ascending air masses of the cyclone and the jet stream aloft.
Cited articles
Attinger, R., Spreitzer, E., Boettcher, M., Wernli, H., and Joos, H.: Systematic assessment of the diabatic processes that modify low-level potential vorticity in extratropical cyclones, Weather Clim. Dynam., 2, 1073–1091, https://doi.org/10.5194/wcd-2-1073-2021, 2021. a
Baumgart, M., Riemer, M., Wirth, V., and Teubler, F.: Potential Vorticity
Dynamics of Forecast Errors: A Quantitative Case Study, Mon. Weather Rev., 146,
1405–1425, https://doi.org/10.1175/MWR-D-17-0196.1, 2018. a
Binder, H., Rivière, G., Arbogast, P., Maynard, K., Bosser, P., Joly, B., and
Labadie, C.: Dynamics of forecast-error growth along cut-off Sanchez and its
consequence for the prediction of a high-impact weather event over southern
France, Q. J. Roy. Meteor. Soc., 147, 3263–3285,
https://doi.org/10.1002/qj.4127, 2021. a
Blanchard, N., Pantillon, F., Chaboureau, J.-P., and Delanoë, J.: Organization of convective ascents in a warm conveyor belt, Weather Clim. Dynam., 1, 617–634, https://doi.org/10.5194/wcd-1-617-2020, 2020. a
Blanchard, N., Pantillon, F., Chaboureau, J.-P., and Delanoë, J.: Mid-level convection in a warm conveyor belt accelerates the jet stream, Weather Clim. Dynam., 2, 37–53, https://doi.org/10.5194/wcd-2-37-2021, 2021. a, b
Bruneau, D., Pelon, J., Blouzon, F., Spatazza, J., Genau, P., Buchholtz, G.,
Amarouche, N., Abchiche, A., and Aouji, O.: 355-nm high spectral resolution
airborne lidar LNG: system description and first results, Appl. Optics, 54,
8776–8785, https://doi.org/10.1364/AO.54.008776, 2015. a
Cazenave, Q., Ceccaldi, M., Delanoë, J., Pelon, J., Groß, S., and Heymsfield, A.: Evolution of DARDAR-CLOUD ice cloud retrievals: new parameters and impacts on the retrieved microphysical properties, Atmos. Meas. Tech., 12, 2819–2835, https://doi.org/10.5194/amt-12-2819-2019, 2019. a, b, c
Chagnon, J. and Gray, S. L.: Horizontal potential vorticity dipoles on the
convective storm scale, Q. J. Roy. Meteor. Soc., 135, 1392–1408, 2009. a
Courtier, P., Freydier, C., Geleyn, J., Rabier, F., and Rochas, M.: The
ARPEGE project at Météo-France, in: ECMWF Seminar Proceedings,
Reading, volume II, 193–231, 1991. a
Davies, H. C. and Didone, M.: Diagnostics and dynamics of forecast error
growth, Mon. Weather Rev., 141, 2483–2501, 2013. a
Delanoë, J. and Hogan, R. J.: A variational scheme for retrieving ice cloud
properties from combined radar, lidar, and infrared radiometer, J. Geophys.
Res., 113, D07204m https://doi.org/10.1029/2007JD009000, 2008. a, b
Delanoe, J., Protat, A., Jourdan, O., Pelon, J., Papazonni, M., Dupuy, R.,
Gayet, J.-F., and Jouan, C.: Comparison of Airborne In Situ, Airborne
Radar-Lidar, and Spaceborne Radar-Lidar Retrievals of Polar Ice Cloud
Properties Sampled during the POLARCAT Campaign, J. Atmos. Ocean. Tech.,
30, 57–73, 2013. a
Descamps, L., Labadie, C., Joly, A., Bazile, E., Arbogast, P., and Cébron, P.:
PEARP, the Météo-France short-range ensemble prediction system.,
Q. J. Roy. Meteor. Soc., 141, 1671–1685, 2015. a
Fink, A. H., Brücher, T., Ermert, V., Krüger, A., and Pinto, J. G.: The European storm Kyrill in January 2007: synoptic evolution, meteorological impacts and some considerations with respect to climate change, Nat. Hazards Earth Syst. Sci., 9, 405–423, https://doi.org/10.5194/nhess-9-405-2009, 2009. a
Flack, D. L. A., Rivière, G., Musat, I., Roehrig, R., Bony, S., Delanoë, J., Cazenave, Q., and Pelon, J.: Representation by two climate models of the dynamical and diabatic processes involved in the development of an explosively deepening cyclone during NAWDEX, Weather Clim. Dynam., 2, 233–253, https://doi.org/10.5194/wcd-2-233-2021, 2021. a
Georgiev, C. G. and Santurette, P.: Mid-level jet in intense convective
environment as seen in the 7.3 µm satellite imagery, Atmos. Res.,
93, 277–285, https://doi.org/10.1016/j.atmosres.2008.10.024, 2009. a
Grams, C. M., Binder, H., Pfahl, S., Piaget, N., and Wernli, H.: Atmospheric processes triggering the central European floods in June 2013, Nat. Hazards Earth Syst. Sci., 14, 1691–1702, https://doi.org/10.5194/nhess-14-1691-2014, 2014. a
Harvey, B., Methven, J., and Ambaum, M. H. P.: Rossby wave propagation on
potential vorticity fronts with finite width, J. Fluid Mech., 794, 775–797,
2016. a
Harvey, B., Methven, J., and Ambaum, M. H. P.: An Adiabatic Mechanism for the
Reduction of Jet Meander Amplitude by Potential Vorticity Filamentation, J.
Atmos. Sci., 75, 4091–4106, 2018. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horanyi, A.,
Munoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons,
A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati,
G., Bidlot, J., Bonavita, M., Chiara, G. D., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M.,
Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P.,
Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global
reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049,
https://doi.org/10.1002/qj.3803, 2018a. a
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on pressure levels from 1979 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set], https://doi.org/10.24381/cds.bd0915c6, 2018b. a
Joos, H. and Forbes, R. M.: Impact of different IFS microphysics on a warm
conveyor belt and the downstream flow evolution, Q. J. Roy. Meteor. Soc.,
142, 2727–2739, https://doi.org/10.1002/qj.2863, 2016. a, b, c
Kaplan, M. L., Adaniya, C. S., Marzette, P. J., King, K. C., Underwood, S. J.,
and Lewis, J. M.: The Role of Upstream Midtropospheric Circulations in the
Sierra Nevada Enabling Leeside (Spillover) Precipitation. Part II: A
Secondary Atmospheric River Accompanying a Midlevel Jet, J.
Hydrometeorol., 10, 1327–1354, https://doi.org/10.1175/2009JHM1106.1, 2009. a
Lopez, P.: Implementation and validation of a new prognostic large-scale cloud
and precipitation scheme for climate and data-assimilation purposes, Q.
J. Roy. Meteor. Soc., 128, 229–257, https://doi.org/10.1256/00359000260498879, 2002. a
Maddison, J. W., Gray, S. L., Martinez-Alvarado, O., and Williams, K. D.:
Upstream cyclone influence on the predictability of block onsets over the
Euro-Atlantic region, Mon. Weather Rev., 147, 1277–1296,
https://doi.org/10.1175/MWR-D-18-0226.1, 2019. a
Martinez-Alvarado, O. and Plant, R. S.: Parametrized diabatic processes in
numerical simulations of an extratropical cyclone, Q. J. Roy. Meteor.
Soc., 140, 1742–1755, https://doi.org/10.1002/qj.2254, 2014. a, b, c, d
Martius, O., Schwierz, C., and Davies, H.: Far upstream precursors of heavy
precipitation events on the Alpine south side, Q. J. Roy. Meteor. Soc.,
134, 417–428, 2008. a
Massacand, A., Wernli, H., and Davies, H.: Heavy precipitation on the Alpine
southside: an upper-level precursor, Geophys. Res. Lett., 25, 1435–1438,
1998. a
Nuissier, O., Joly, B., Joly, A., Ducrocq, V., and Arbogast, P.: A statistical
downscaling to identify the large-scale circulation patterns associated with
heavy precipitation events over southern France, Q. J. Roy. Meteor. Soc.,
137, 1812–1827, 2011. a
Oertel, A., Boettcher, M., Joos, H., Sprenger, M., and Wernli, H.: Convective
activity in an extratropical cyclone and its warm conveyor belt – a
case-study combining observations and a convection-permitting model
simulation, Q. J. Roy. Meteor. Soc., 145, 1406–1426,
https://doi.org/10.1002/qj.3500, 2019. a
Oertel, A., Boettcher, M., Joos, H., Sprenger, M., and Wernli, H.: Potential vorticity structure of embedded convection in a warm conveyor belt and its relevance for large-scale dynamics, Weather Clim. Dynam., 1, 127–153, https://doi.org/10.5194/wcd-1-127-2020, 2020. a, b
Oertel, A., Sprenger, M., Joos, H., Boettcher, M., Konow, H., Hagen, M., and Wernli, H.: Observations and simulation of intense convection embedded in a warm conveyor belt – how ambient vertical wind shear determines the dynamical impact, Weather Clim. Dynam., 2, 89–110, https://doi.org/10.5194/wcd-2-89-2021, 2021. a, b
Parsons, D. B., Beland, M., Burridge, D., Bougeault, P., Brunet, G., Caughey, J., Cavallo, S. M., Charron, M., Davies, H. C., Niang, A. D., Ducrocq, V., Gauthier, P., Hamill, T. M., Harr, P. A., Jones, S. C., Langland, R. H., Majumdar, S. J., Mills, B. N., Moncrieff, M., Nakazawa, T., Paccagnella, T., Rabier, F., Redelsperger, J.-L., Riedel, C., Saunders, R. W., Shapiro, M. A., Swinbank, R., Szunyogh, I., Thorncroft, C., Thorpe, A. J., Wang, X., Waliser, D., Wernli, H., and Toth, Z.: THORPEX research and
the science of prediction, B. Am. Meteorol. Soc., 98, 807–830, 2017. a
Pinto, J., Zacharias, S., Fink, A. H., Leckebusch, G., and Ulbrich, U.: Factors
contributing to the development of extreme North Atlantic cyclones and
their relationship with the NAO, Clim. Dynam., 32, 711–737, 2009. a
Piriou, J.-M., Redelsperger, J.-L., Geleyn, J.-F., Lafore, J.-P., and Guichard,
F.: An approach for convective parameterization with memory: Separating
microphysics and transport in grid-scale equations, J. Atmos. Sci., 64,
4127–4139, https://doi.org/10.1175/2007JAS2144.1, 2007. a, b
Ponzano, M., Joly, B., Descamps, L., and Arbogast, P.: Systematic error analysis of heavy-precipitation-event prediction using a 30-year hindcast dataset, Nat. Hazards Earth Syst. Sci., 20, 1369–1389, https://doi.org/10.5194/nhess-20-1369-2020, 2020. a, b, c
Rivière, G., Arbogast, P., Maynard, K., and Joly, A.: The essential
ingredients leading to the explosive growth stage of the European wind
storm “Lothar” of Christmas 1999, Q. J. Roy. Meteor. Soc., 136,
638–652, 2010. a
Rivière, G., Wimmer, M., Arbogast, P., Piriou, J.-M., Delanoë, J., Labadie, C., Cazenave, Q., and Pelon, J.: The impact of deep convection representation in a global atmospheric model on the warm conveyor belt and jet stream during NAWDEX IOP6, Weather Clim. Dynam., 2, 1011–1031, https://doi.org/10.5194/wcd-2-1011-2021, 2021. a, b, c, d, e
Rodwell, M. J., Magnusson, L., Bauer, P., Bechtold, P., Bonavita, M., Cardinali, C., Diamantakis, M., Earnshaw, P., Garcia-Mendez, A., Isaksen, L., Källén, E., Klocke, D., Lopez, P., McNally, T., Persson, A., Prates, F., and Wedi, N.: Characteristics of occasional
poor medium-range weather forecasts for Europe, B. Am. Meteorol. Soc.,
94, 1393–1405, 2013. a, b
Sanders, F. and Gyakum, J.: Synoptic-dynamic climatology of the “Bomb”, Mon. Weather Rev., 108, 1589–1606, 1980. a
Schäfler, A., Craig, G., Wernli, H., Arbogast, P., Doyle, J. D.,
McTaggart-Cowan, R., Methven, J., Rivière, G., Ament, F., Boettcher,
M., Bramberger, M., Cazenave, Q., Cotton, R., Crewell, S., Delanoë, J.,
Dörnbrack, A., Ehrlich, A., Ewald, F., Fix, A., Grams, C. M., Gray, S. L.,
Grob, H., Groß, S., Hagen, M., Harvey, B., Hirsch, L., Jacob, M., Kölling,
T., Konow, H., Lemmerz, C., Lux, O., Magnusson, L., Mayer, B., Mech, M.,
Moore, R., Pelon, J., Quinting, J., Rahm, S., Rapp, M., Rautenhaus, M.,
Reitebuch, O., Reynolds, C. A., Sodemann, H., Spengler, T., Vaughan, G.,
Wendisch, M., Wirth, M., Witschas, B., Wolf, K., and Zinner, T.: The North
Atlantic Waveguide and Downstream Impact Experiment, B. Am.
Meteorol. Soc., 99, 1607–1637, 2018. a, b, c
Schäfler, A., Harvey, B., Methven, J., Doyle, J. D., Rahm, S., Reitebuch,
O., Weiler, F., and Witschas, B.: Observation of Jet Stream Winds during
NAWDEX and Characterization of Systematic Meteorological Analysis Errors,
Mon. Weather Rev., 148, 2889–2907, 2020. a
Schemm, S., Wernli, H., and Papritz, L.: Warm conveyor belt in idealized moist
baroclinic wave simulation, J. Atmos. Sci., 70, 627–652,
https://doi.org/10.1175/JAS-D-12-0147.1, 2013. a
Schmaltz, J. E., Ilavajhala, S., Plesea, L., Hall, J. R., Boller, R. A., Chang, G., Sadaqathullah, S., Kim, R., Murphy, K. J., and Thompson, C. K.: Global Imagery Browse Services (GIBS) – Rapidly Serving NASA Imagery for Applications and Science Users, American Geophysical Union, Fall Meeting 2012, abstract id. IN51F-01, 2012. a
Steinfeld, D., Boettcher, M., Forbes, R., and Pfahl, S.: The sensitivity of atmospheric blocking to upstream latent heating – numerical experiments, Weather Clim. Dynam., 1, 405–426, https://doi.org/10.5194/wcd-1-405-2020, 2020. a
Uccelini, L. W.: Processes contributing to the rapid development of
extratropical cyclones, in: Extratropical cyclones, edited by: Newton, C. W. and Holopainen, E. O.,
chap. 6, American Meteorological Society, https://doi.org/10.1007/978-1-944970-33-8_6, 1990. a
Wernli, H. and Davies, H. C.: A Lagrangian-based analysis of extratropical
cyclones. I: The method and some applications, Q. J. Roy. Meteor.
Soc., 123, 467–489, 1997. a
Wernli, H., Dirren, S., Liniger, M. A., and Zillig, M.: Dynamical aspects of
the life cycle of the winter storm 'Lothar' (24–26 December 1999), Q.
J. Roy. Meteor. Soc., 128, 405–429, 2002. a
Wirth, V., Riemer, M., Chang, E. K. M., and Martius, O.: Rossby Wave Packets on
the Midlatitude Waveguide – A Review, Mon. Weather Rev., 146, 1965–2001, 2018. a
Short summary
The effect of deep convection representation on the jet stream above the cold front of an extratropical cyclone is investigated in the global numerical weather prediction model ARPEGE. Two simulations using different deep convection schemes are compared with (re)analysis datasets and NAWDEX airborne observations. A deeper jet stream is observed with the less active scheme. The diabatic origin of this difference is interpreted by backward Lagrangian trajectories and potential vorticity budgets.
The effect of deep convection representation on the jet stream above the cold front of an...
