Matthieu Chevallier

6.5k total citations · 1 hit paper
26 papers, 844 citations indexed

About

Matthieu Chevallier is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Matthieu Chevallier has authored 26 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Matthieu Chevallier's work include Climate variability and models (17 papers), Arctic and Antarctic ice dynamics (15 papers) and Climate change and permafrost (12 papers). Matthieu Chevallier is often cited by papers focused on Climate variability and models (17 papers), Arctic and Antarctic ice dynamics (15 papers) and Climate change and permafrost (12 papers). Matthieu Chevallier collaborates with scholars based in France, United Kingdom and Spain. Matthieu Chevallier's co-authors include David Salas‐Mélia, David Salas y Mélia, Michel Déqué, Gilles Garric, Aurore Voldoire, Virginie Guémas, Agathe Germe, Neven S. Fučkar, Edward Blanchard‐Wrigglesworth and Roland Séférian and has published in prestigious journals such as Journal of Climate, Geophysical Research Letters and Atmospheric Environment.

In The Last Decade

Matthieu Chevallier

22 papers receiving 832 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Rise of Data-Driven Weather Forecasting: A First Statistical Assessment of Machine Learning–Based Weather Forecasts in an Operational-Like Context

2024 70 citations Zied Ben Bouallègue, Mariana Clare et al. Bulletin of the American Meteorological Society profile →

Peers

Matthieu Chevallier

GPC

OCEAN

Elizabeth N. Cassano United States

Longjiang Mu China

Zachary M. Labe United States

Lujun Zhang China

A. J. McLaren United Kingdom

Stephanie J. Johnson United Kingdom

Laura Rontu Finland

Sang‐Yoon Jun South Korea

Alex Crawford United States

В. Ф. Радионов Russia

Elizabeth N. Cassano United States

Matthieu Chevallier

485 ×0.7

362 ×0.7

GPC

44 ×0.3

OCEAN

32 ×0.5

20 ×0.5

Citations per year, relative to Matthieu Chevallier Matthieu Chevallier (= 1×) peers Elizabeth N. Cassano

Countries citing papers authored by Matthieu Chevallier

Since Specialization

Citations

This map shows the geographic impact of Matthieu Chevallier'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 Matthieu Chevallier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Chevallier more than expected).

Fields of papers citing papers by Matthieu Chevallier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthieu Chevallier. 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 Matthieu Chevallier. The network helps show where Matthieu Chevallier may publish in the future.

Co-authorship network of co-authors of Matthieu Chevallier

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Chevallier. A scholar is included among the top collaborators of Matthieu Chevallier 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 Matthieu Chevallier. Matthieu Chevallier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rodwell, M. J., Mariana Clare, Sarah‐Jane Lock, Katrin Lonitz, & Matthieu Chevallier. (2025). Power Spectra of Physics‐Based and Data‐Driven Ensembles. Meteorological Applications. 32(5).

Bouallègue, Zied Ben, Mariana Clare, Linus Magnusson, et al.. (2024). The Rise of Data-Driven Weather Forecasting: A First Statistical Assessment of Machine Learning–Based Weather Forecasts in an Operational-Like Context. Bulletin of the American Meteorological Society. 105(6). E864–E883. 70 indexed citations breakdown →

Lledó, Llorenç, Thomas Haiden, & Matthieu Chevallier. (2024). An intercomparison of four gridded precipitation products over Europe using an extension of the three-cornered-hat method. Hydrology and earth system sciences. 28(23). 5149–5162.

Batté, Lauriane, et al.. (2020). Summer predictions of Arctic sea ice edge in multi-model seasonal re-forecasts. Climate Dynamics. 54(11-12). 5013–5029. 14 indexed citations

Saint‐Martin, David, Olivier Geoffroy, Aurore Voldoire, et al.. (2020). Tracking Changes in Climate Sensitivity in CNRM Climate Models. Journal of Advances in Modeling Earth Systems. 13(6). 16 indexed citations

Ponsoni, Leandro, François Massonnet, Thierry Fichefet, Matthieu Chevallier, & David Docquier. (2019). On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses. The cryosphere. 13(2). 521–543. 10 indexed citations

Berthet, Sarah, Roland Séférian, Clément Bricaud, et al.. (2019). Evaluation of an Online Grid‐Coarsening Algorithm in a Global Eddy‐Admitting Ocean Biogeochemical Model. Journal of Advances in Modeling Earth Systems. 11(6). 1759–1783. 24 indexed citations

Ponsoni, Leandro, François Massonnet, Thierry Fichefet, Matthieu Chevallier, & David Docquier. (2018). On the time and length scales of the Arctic sea ice thickness anomalies: a study based on fourteen reanalyses. Biogeosciences (European Geosciences Union). 2 indexed citations

Séférian, Roland, Sarah Berthet, & Matthieu Chevallier. (2018). Assessing the Decadal Predictability of Land and Ocean Carbon Uptake. Geophysical Research Letters. 45(5). 2455–2466. 31 indexed citations

10.

Penny, Stephen G., Santha Akella, Mark Buehner, et al.. (2017). Coupled Data Assimilation for Integrated Earth System Analysis and Prediction: Goals, Challenges, and Recommendations. 31 indexed citations

11.

Séférian, Roland, Christine Delire, Bertrand Decharme, et al.. (2016). Development and evaluation of CNRM Earth system model – CNRM-ESM1. Geoscientific model development. 9(4). 1423–1453. 35 indexed citations

12.

Blanchard‐Wrigglesworth, Edward, Antoine Barthélemy, Matthieu Chevallier, et al.. (2016). Multi-model seasonal forecast of Arctic sea-ice: forecast uncertainty at pan-Arctic and regional scales. Climate Dynamics. 49(4). 1399–1410. 44 indexed citations

13.

Day, Jonathan J., Gunilla Svensson, Ian M. Brooks, et al.. (2016). The Abisko Polar Prediction School. Bulletin of the American Meteorological Society. 98(3). 445–447. 2 indexed citations

14.

Guémas, Virginie, et al.. (2016). Impact of sea ice initialization on sea ice and atmosphere prediction skill on seasonal timescales. Geophysical Research Letters. 43(8). 3889–3896. 38 indexed citations

15.

Goessling, Helge, Thomas Jung, Jenny Baeseman, et al.. (2015). Paving the Way for the Year of Polar Prediction. Bulletin of the American Meteorological Society. 97(4). ES85–ES88. 17 indexed citations

16.

Planton, Serge, Laurent Bopp, Julien Cattiaux, et al.. (2015). Evolution du climat depuis 1850. La Météorologie. 8(88). 48–48.

17.

Germe, Agathe, Matthieu Chevallier, David Salas y Mélia, Emilia Sánchez-Gómez, & Christophe Cassou. (2014). Interannual predictability of Arctic sea ice in a global climate model: regional contrasts and temporal evolution. Climate Dynamics. 43(9-10). 2519–2538. 44 indexed citations

18.

Chevallier, Matthieu, David Salas y Mélia, Aurore Voldoire, Michel Déqué, & Gilles Garric. (2013). Seasonal Forecasts of the Pan-Arctic Sea Ice Extent Using a GCM-Based Seasonal Prediction System. Journal of Climate. 26(16). 6092–6104. 94 indexed citations

19.

Chevallier, Matthieu, David Salas‐y‐Mélia, Agathe Germe, Aurore Voldoire, & Gilles Garric. (2012). Seasonal forecasts of the sea ice cover in Arctic ocean and subbasins: hindcast experiments with a coupled atmosphere-ocean GCM. AGU Fall Meeting Abstracts. 2012. 1 indexed citations

20.

Chevallier, Matthieu & D. Salas y Mélia. (2011). The impact of the inclusion of new sea ice processes on the simulation of Arctic sea ice in CNRM-CM coupled model. AGU Fall Meeting Abstracts. 2011.

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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