Supplementary Data and Code for "Phytoplankton Growth driven by Submesoscale processes under Convective Turbulence: Lagrangian Plankton Model Results"

This archive contains simulation input files for representative namelist configurations, analysis scripts, and sample output data (profile data) for the study titled "Phytoplankton Growth driven by Submesoscale Processes under Convective Turbulence: Lagrangian Plankton Model Results". Due to data volume constraints, only a subset of the simulation outputs is included. The provided scripts allow reproduction of the key figures and results discussed in the manuscript. Additional details are documented in the accompanying README files. All simulations were conducted using the PALM Large Eddy Simulation (LES) model coupled with a Lagrangian plankton model. For access to the full dataset, please contact the author (Yeonju Choi, [email protected]).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-02
DOI
https://doi.org/10.5281/zenodo.15572604
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
0.00
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article

Supplementary Data and Code for "Phytoplankton Growth driven by Submesoscale processes under Convective Turbulence: Lagrangian Plankton Model Results"

Zenodo (CERN European Organization for Nuclear Research)
Oceanographic and Atmospheric Processes
article

Supplementary Data and Code for "Phytoplankton Growth driven by Submesoscale processes under Convective Turbulence: Lagrangian Plankton Model Results"

article en

Abstract

This archive contains simulation input files for representative namelist configurations, analysis scripts, and sample output data (profile data) for the study titled "Phytoplankton Growth driven by Submesoscale Processes under Convective Turbulence: Lagrangian Plankton Model Results". Due to data volume constraints, only a subset of the simulation outputs is included. The provided scripts allow reproduction of the key figures and results discussed in the manuscript. Additional details are documented in the accompanying README files. All simulations were conducted using the PALM Large Eddy Simulation (LES) model coupled with a Lagrangian plankton model. For access to the full dataset, please contact the author (Yeonju Choi, [email protected]).

Zenodo (CERN European Organization for Nuclear Research)
Yonsei University (KR)
Openalex Percentile: Top 46%
Oceanographic and Atmospheric Processes
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