Articles | Volume 19, issue 12
https://doi.org/10.5194/gmd-19-5571-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-5571-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Surface horizontal kinetic energy sensitivity to numerical parameters in tidal-resolving North and Equatorial Atlantic simulations
Rémi Laxenaire
CORRESPONDING AUTHOR
Laboratoire de l'Atmosphère et des Cyclones (LACy), UMR8105 (Université de la Réunion – CNRS – Météo-France), Université de La Réunion, Saint-Denis de La Réunion, France
Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, USA
Eric P. Chassignet
Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, USA
Xiaobiao Xu
Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, USA
Alan J. Wallcraft
Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, USA
Luna Hiron
Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, USA
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Brian K. Arbic
Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, MI, USA
Maarten C. Buijsman
School of Ocean Science and Engineering, University of Southern Mississippi, Hattiesburg, MS, USA
Miguel Solano
School of Ocean Science and Engineering, University of Southern Mississippi, Hattiesburg, MS, USA
Shane Elipot
Rosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Miami, FL, USA
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Ocean and climate scientists have used numerical simulations as a tool to examine the ocean and climate system since the 1970s. Since then, owing to the continuous increase in computational power and advances in numerical methods, we have been able to simulate increasing complex phenomena. However, the fidelity of the simulations in representing the phenomena remains a core issue in the ocean science community. Here we propose a cloud-based framework to inter-compare and assess such simulations.
Cited articles
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Short summary
Surface kinetic energy reflects the distribution of ocean circulation across temporal and spatial scales, shaping energy transfer and mixing in the upper ocean. In a series of North and Equatorial Atlantic numerical simulations, we show that the surface kinetic energy is sensitive to the model's choices in grid and seafloor resolution and to the tides and wind variability, offering guidance for the configuration of future ocean simulations.
Surface kinetic energy reflects the distribution of ocean circulation across temporal and...