Fleur Couvreux

4.8k total citations
88 papers, 2.6k citations indexed

About

Fleur Couvreux is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Fleur Couvreux has authored 88 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Atmospheric Science, 67 papers in Global and Planetary Change and 24 papers in Environmental Engineering. Recurrent topics in Fleur Couvreux's work include Meteorological Phenomena and Simulations (64 papers), Climate variability and models (43 papers) and Atmospheric aerosols and clouds (35 papers). Fleur Couvreux is often cited by papers focused on Meteorological Phenomena and Simulations (64 papers), Climate variability and models (43 papers) and Atmospheric aerosols and clouds (35 papers). Fleur Couvreux collaborates with scholars based in France, United States and United Kingdom. Fleur Couvreux's co-authors include Françoise Guichard, Valéry Masson, Catherine Rio, F. Hourdin, Rachel Honnert, Amanda Gounou, Sylvie Malardel, Julien Pergaud, Dominique Bouniol and Christopher M. Taylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Fleur Couvreux

86 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fleur Couvreux France 29 2.3k 2.2k 620 228 176 88 2.6k
Vanda Grubı̆sı́c United States 29 2.2k 1.0× 1.7k 0.8× 526 0.8× 186 0.8× 205 1.2× 66 2.6k
João Teixeira United States 23 1.8k 0.8× 2.1k 1.0× 418 0.7× 107 0.5× 92 0.5× 67 2.6k
Danijel Belušić Croatia 25 1.4k 0.6× 1.1k 0.5× 464 0.7× 129 0.6× 204 1.2× 70 1.9k
P. Lacarrère France 20 1.7k 0.7× 1.6k 0.7× 901 1.5× 239 1.0× 77 0.4× 33 2.3k
Lewis D. Grasso United States 15 1.9k 0.9× 1.6k 0.7× 395 0.6× 57 0.3× 114 0.6× 34 2.2k
Andreas Chlond Germany 19 2.5k 1.1× 2.5k 1.1× 529 0.9× 324 1.4× 463 2.6× 36 2.9k
Branko Grisogono Croatia 29 2.1k 1.0× 1.3k 0.6× 894 1.4× 299 1.3× 291 1.7× 94 2.6k
Tomislava Vukićević United States 27 1.7k 0.8× 1.5k 0.7× 293 0.5× 85 0.4× 54 0.3× 69 1.9k
Marie Lothon France 24 1.1k 0.5× 1.1k 0.5× 468 0.8× 169 0.7× 110 0.6× 80 1.4k
Norbert Kalthoff Germany 32 2.8k 1.2× 2.6k 1.2× 865 1.4× 89 0.4× 105 0.6× 140 3.3k

Countries citing papers authored by Fleur Couvreux

Since Specialization
Citations

This map shows the geographic impact of Fleur Couvreux's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fleur Couvreux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fleur Couvreux more than expected).

Fields of papers citing papers by Fleur Couvreux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fleur Couvreux. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fleur Couvreux. The network helps show where Fleur Couvreux may publish in the future.

Co-authorship network of co-authors of Fleur Couvreux

This figure shows the co-authorship network connecting the top 25 collaborators of Fleur Couvreux. A scholar is included among the top collaborators of Fleur Couvreux based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fleur Couvreux. Fleur Couvreux is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Couvreux, Fleur, et al.. (2025). Atmosphere Response to an Oceanic Submesoscale SST Front: A Coherent Structure Analysis. Journal of Geophysical Research Atmospheres. 130(4).
2.
3.
Libois, Quentin, et al.. (2024). Combining observations and simulations to investigate the small-scale variability of surface solar irradiance under continental cumulus clouds. Atmospheric chemistry and physics. 24(19). 11391–11408. 1 indexed citations
4.
Hattenberger, Gautier, et al.. (2024). Experimental UAV Flights to Collect Data Within Cumulus Clouds. SPIRE - Sciences Po Institutional REpository. 1. 231–248. 2 indexed citations
5.
Maury, Nicolas, et al.. (2023). Quantifying the mixing of trade‐wind cumulus during the NEPHELAE‐EUREC4A field campaign with remotely piloted aircraft. Quarterly Journal of the Royal Meteorological Society. 149(752). 809–829. 1 indexed citations
6.
Brilouet, Pierre‐Etienne, Jean‐Luc Redelsperger, Marie‐Noëlle Bouin, Fleur Couvreux, & Najda Villefranque. (2023). A numerical study of ocean surface‐layer response to atmospheric shallow convection: Impact of cloud shading, rain, and cold pools. Quarterly Journal of the Royal Meteorological Society. 150(760). 1401–1419. 2 indexed citations
7.
Balaji, V., Fleur Couvreux, Julie Deshayes, et al.. (2022). Are general circulation models obsolete?. Proceedings of the National Academy of Sciences. 119(47). e2202075119–e2202075119. 37 indexed citations
8.
Maury, Nicolas, Greg Roberts, Fleur Couvreux, et al.. (2022). Use of large-eddy simulations to design an adaptive sampling strategy to assess cumulus cloud heterogeneities by remotely piloted aircraft. Atmospheric measurement techniques. 15(2). 335–352. 2 indexed citations
9.
Hourdin, F., Daniel Williamson, Catherine Rio, et al.. (2020). Process‐Based Climate Model Development Harnessing Machine Learning: II. Model Calibration From Single Column to Global. Journal of Advances in Modeling Earth Systems. 13(6). 27 indexed citations
10.
Roehrig, Romain, et al.. (2020). Modeling the GABLS4 Strongly‐Stable Boundary Layer With a GCM Turbulence Parameterization: Parametric Sensitivity or Intrinsic Limits?. Journal of Advances in Modeling Earth Systems. 13(3). 7 indexed citations
11.
Couvreux, Fleur, F. Hourdin, Daniel Williamson, et al.. (2020). Process‐Based Climate Model Development Harnessing Machine Learning: I. A Calibration Tool for Parameterization Improvement. Journal of Advances in Modeling Earth Systems. 13(3). 53 indexed citations
12.
Nicolas, Mélanie, et al.. (2019). Adaptative cloud exploration by UAV fleet in simulated cumulus fields for studying entrainment and microphysics of clouds. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
13.
Couvreux, Fleur, et al.. (2017). A new downscaling method for sub-grid turbulence modeling. Atmospheric chemistry and physics. 17(11). 6531–6546. 1 indexed citations
14.
Canut, Guylaine, Fleur Couvreux, Marie Lothon, et al.. (2016). Turbulence measurements with a tethered balloon. 4 indexed citations
15.
Darbieu, Clara, Fabienne Lohou, Marie Lothon, et al.. (2014). Evolution of the turbulence during the afternoon transition of the convective boundary layer: a spectral analysis. QRU Quaderns de Recerca en Urbanisme. 1 indexed citations
16.
Darbieu, Clara, Fabienne Lohou, Marie Lothon, et al.. (2014). Turbulence vertical structure of the boundary layer during the afternoon transition. 3 indexed citations
17.
Guichard, Françoise, Dominique Bouniol, Fleur Couvreux, et al.. (2014). Physical Processes Shaping Sahelian Heat Waves: Analysis Of Selected Case Studies. Agritrop (Cirad). 2014. 1 indexed citations
18.
Pino, David, Marie Lothon, Fabienne Lohou, et al.. (2012). Boundary Layer Late Afternoon and Sunset Turbulence: the BLLAST 2011 experiment. European geosciences union general assembly. 206. 1 indexed citations
19.
Guichard, Françoise, Fleur Couvreux, Amanda Gounou, & M. Nuret. (2009). Roles of low-level thermodynamics on surface-convection interactions over West-Africa. 1 indexed citations
20.
Couvreux, Fleur, et al.. (2009). Synoptic variability of the monsoon flux over West Africa prior to the onset. Quarterly Journal of the Royal Meteorological Society. 136(S1). 159–173. 49 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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