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Marine De Carlo

Atmospheric infrasound generation by ocean waves in finite depth: unified theory and application to radiation patterns
2020 · M De Carlo, F Ardhuin, et al. · Geophysical Journal International · 46
Global Microbarom Patterns: A First Confirmation of the Theory for Source and Propagation
2020 · Marine De Carlo, Patrick Hupe, et al. · Geophysical Research Letters · 37
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Assessing middle atmosphere weather models using infrasound detections from microbaroms
2018 · Patrick Hupe, Lars Ceranna, et al. · Geophysical Journal International · 33
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Benchmarking microbarom radiation and propagation model against infrasound recordings: a vespagram-based approach
2021 · Ekaterina Vorobeva, Marine De Carlo, et al. · Annales Geophysicae · 22
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Sizing the largest ocean waves using the SWOT mission
2025 · Fabrice Ardhuin, Taina Postec, et al. · Proceedings of the National Academy of Sciences · 19
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Remote Monitoring of Mediterranean Hurricanes Using Infrasound
2022 · Constantino Listowski, Edouard Forestier, et al. · Remote Sensing · 18
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Wave Groups and Small Scale Variability of Wave Heights Observed by Altimeters
2023 · Marine De Carlo, Fabrice Ardhuin, et al. · Journal of Geophysical Research Oceans · 17
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Along‐Track Resolution and Uncertainty of Altimeter‐Derived Wave Height and Sea Level: Re‐Defining the Significant Wave Height in Extreme Storms
2024 · Marine De Carlo, Fabrice Ardhuin · Journal of Geophysical Research Oceans · 15
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Infrasound signature of the post-tropical storm Ophelia at the Central and Eastern European Infrasound Network
2021 · Tereza Šindelářová, Marine De Carlo, et al. · Journal of Atmospheric and Solar-Terrestrial Physics · 12
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Characterizing the oceanic ambient noise as recorded by the dense seismo-acoustic Kazakh network
2021 · Alexandr Smirnov, Marine De Carlo, et al. · Solid Earth · 9
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Semidiurnal tidal signatures in microbarom infrasound array measurements
2020 · Sven Peter Näsholm, Ekaterina Vorobeva, et al. · 3
Global comparison between ocean ambient noise modelling and infrasound network observations
2020 · Marine De Carlo, Fabrice Ardhuin, et al. · 3
Results of the microseism and microbarom detections by the seismo-acoustic Kazakh network and of the microbarom simulation for the infrasound arrays of the network
2020 · Alexandr Smirnov, Marine De Carlo, et al. · 2
Characterizing and Modelling Ocean Ambient Noise Using Infrasound Network and Middle Atmospheric Models
2018 · M. De Carlo, A. Le Pichon, et al. · NNC RK Bulletin · 2
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Signals From Severe Ocean Storms in North Atlantic as It Detected in Kazakhstan: Observation and Modelling
2018 · A. A. Smirnov, M. De Carlo, et al. · NNC RK Bulletin · 2
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Characterizing ocean ambient noise using infrasound network
2018 · Alexis Le Pichon, Marine De Carlo, et al. · The Journal of the Acoustical Society of America · 2
The Multi-Channel Maximum-Likelihood (MCML) method for infrasound detection and wave parameter estimation: Evaluation, implementation, and first applications
2022 · Alexis Le Pichon, Benjamin Poste, et al. · The Journal of the Acoustical Society of America · 1
Extracting Microseismic Ground Motion From Legacy Seismograms
2022 · De Plaen, Raphael, Lecocq, Thomas, et al. · HAL · 1
ARROW (AtmospheRic InfRasound by Ocean Waves): a new real-time product for global ambient noise monitoring.
2022 · Marine De Carlo, Mickaël Accensi, et al. · EGU General Assembly Conference Abstracts · 1
Characterization of atmospheric ambiant noise originating from the ocean : global modelling of microbaroms and comparison with infrasound observations of the International Monitoring System
2020 · Marine De Carlo · theses.fr (ABES) · 1
Evaluating microbarom source models using infrasound recorded on a stratospheric balloon
2020 · Alexis Le Pichon, Marine De Carlo, et al. · 1
Bridging Satellite Observations: A Comprehensive Intercomparison of Wave Spectra
2026 · Amine Benchaabane, Marine De Carlo, et al. · EGU General Assembly Conference Abstracts
SAR measurements’ validation and High-Resolution winds contribution to the CMEMS Wind TAC
2026 · Marine De Carlo, Romain Husson, et al. · EGU General Assembly Conference Abstracts
Sizing the largest ocean waves using the SWOT mission
2025 · Fabrice Ardhuin, Taina Postec, et al.
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Sizing the largest ocean waves using the SWOT mission
2025 · Fabrice Ardhuin, Taina Postec, et al.
Works count: 53
Citation count: 250
H-index: 9
I10-index: 9
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