code_to_pinner_et_al_2025 - Analysis code to the publication Pinner et al., 2025

Analysis code to the publication Pinner et al., 2025

The Weddell Sea Bottom Water gravity current transports dense water from the continental shelf to the deep sea and is crucial for the formation of new deep-sea water. Building on vertical profiles and time series measured in the northwestern Weddell Sea, we apply three methods to distinguish turbulence caused by internal waves from that by other sources. We find that in the upper part of the gravity current, internal waves are important for the mixing of less dense water down into the current.

Derived Quantities

The most important derived quantities are 3 transects across the continental slope of near-bottom dissipation rates: - Total dissipation rate $\varepsilon\text{total, Thorpe}$ - Wave-induced dissipation rate $\varepsilon\text{IGW, fine}$
- Wave-induced dissipation rate $\varepsilon_\text{IGW, IDEMIX}$

All data sets are saved as .csv files in the derived_data folder, with the vertical coordinate meters above the seafloor and horizontal coordinate longitude. Examples of use are shown in derived_data/examples.ipynb.

Reproducibility

Reproducing these works is unfortunately not straight forward, depending on your expertise. Multiple intermediate steps are needed to go from raw data to results. For example, I used a Matlab script to calculate neutral densities for all CTD profiles. Additionally, some of data files are not read in as .csv but as .mat files, due to early collaboration in the analysis. PS129 data is of right now unpublished and not yet converted into a neatly organized data set.

The high-level requirements are given in requirements.txt, with my complete python enviroment detailed in enviroment.yaml, and can be reinstalled by the installer/enviroment manager of your choice (pip, conda, etc.), for example by conda create --file requirements.txt.

Disclaimer

[!IMPORTANT]
- Although this code produces the results and figures to the accompanying paper, this repository occasionally contains unused code snippets and partial documentation. - Comments or corrections to the code can be given on GitHub as issues.
- Note that figures created here can differ slightly from the published versions, as some post-processing (adjustements and labeling) were made with Inkscape. - Due to failed validations of the MIT license name in the .zenodo.json file, multiple releases were needed to find and correct the error. Full Changelog since peer-review: https://github.com/opinner/CodetoPinneretal_2025/compare/v0.3.0-peer-review...v1.0.3

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Published by opinner 11 months ago

code_to_pinner_et_al_2025 - Zenodo Test release

This is a test release to Zenodo Sandbox to validate the license name in the metadata file

- Jupyter Notebook
Published by opinner 11 months ago

code_to_pinner_et_al_2025 - # Analysis code to the publication Pinner et al., 2025

Analysis code to the publication Pinner et al., 2025

The Weddell Sea Bottom Water gravity current transports dense water from the continental shelf to the deep sea and is crucial for the formation of new deep-sea water. Building on vertical profiles and time series measured in the northwestern Weddell Sea, we apply three methods to distinguish turbulence caused by internal waves from that by other sources. We find that in the upper part of the gravity current, internal waves are important for the mixing of less dense water down into the current.

Derived Quantities

The most important derived quantities are 3 transects across the continental slope of near-bottom dissipation rates: - Total dissipation rate $\varepsilon\text{total, Thorpe}$ - Wave-induced dissipation rate $\varepsilon\text{IGW, fine}$
- Wave-induced dissipation rate $\varepsilon_\text{IGW, IDEMIX}$

All data sets are saved as .csv files in the derived_data folder, with the vertical coordinate meters above the seafloor and horizontal coordinate longitude. Examples of use are shown in derived_data/examples.ipynb.

Reproducibility

Reproducing these works is unfortunately not straight forward, depending on your expertise. Multiple intermediate steps are needed to go from raw data to results. For example, I used a Matlab script to calculate neutral densities for all CTD profiles. Additionally, some of data files are not read in as .csv but as .mat files, due to early collaboration in the analysis. PS129 data is of right now unpublished and not yet converted into a neatly organized data set.

The high-level requirements are given in requirements.txt, with my complete python enviroment detailed in enviroment.yaml, and can be reinstalled by the installer/enviroment manager of your choice (pip, conda, etc.), for example by conda create --file requirements.txt.

Disclaimer

[!IMPORTANT]
- Although this code produces the results and figures to the accompanying paper, this repository occasionally contains unused code snippets and partial documentation. - Comments or corrections to the code can be given on GitHub as issues.
- Note that figures created here can differ slightly from the published versions, as some post-processing (adjustements and labeling) were made with Inkscape. - Full Changelog since peer-review: https://github.com/opinner/CodetoPinneretal_2025/compare/v0.3.0-peer-review...v1.0.0

- Jupyter Notebook
Published by opinner 11 months ago

code_to_pinner_et_al_2025 - v1.0.0

Analysis code to the publication Pinner et al., 2025

The Weddell Sea Bottom Water gravity current transports dense water from the continental shelf to the deep sea and is crucial for the formation of new deep-sea water. Building on vertical profiles and time series measured in the northwestern Weddell Sea, we apply three methods to distinguish turbulence caused by internal waves from that by other sources. We find that in the upper part of the gravity current, internal waves are important for the mixing of less dense water down into the current.

Derived Quantities

The most important derived quantities are 3 transects across the continental slope of near-bottom dissipation rates: - Total dissipation rate $\varepsilon\text{total, Thorpe}$ - Wave-induced dissipation rate $\varepsilon\text{IGW, fine}$
- Wave-induced dissipation rate $\varepsilon_\text{IGW, IDEMIX}$

All data sets are saved as .csv files in the derived_data folder, with the vertical coordinate meters above the seafloor and horizontal coordinate longitude. Examples of use are shown in derived_data/examples.ipynb.

Reproducibility

Reproducing these works is unfortunately not straight forward, depending on your expertise. Multiple intermediate steps are needed to go from raw data to results. For example, I used a Matlab script to calculate neutral densities for all CTD profiles. Additionally, some of data files are not read in as .csv but as .mat files, due to early collaboration in the analysis. PS129 data is of right now unpublished and not yet converted into a neatly organized data set.

The high-level requirements are given in requirements.txt, with my complete python enviroment detailed in enviroment.yaml, and can be reinstalled by the installer/enviroment manager of your choice (pip, conda, etc.), for example by conda create --file requirements.txt.

Disclaimer

[!IMPORTANT]
- Although this code produces the results and figures to the accompanying paper, this repository occasionally contains unused code snippets and partial documentation. - Comments or corrections to the code can be given on GitHub as issues.
- Note that figures created here can differ slightly from the published versions, as some post-processing (adjustements and labeling) were made with Inkscape. - Full Changelog since peer-review: https://github.com/opinner/CodetoPinneretal_2025/compare/v0.3.0-peer-review...v1.0.0

- Jupyter Notebook
Published by opinner 11 months ago

code_to_pinner_et_al_2025 - Analysis Code to the publication Internal-wave-induced dissipation rates in the Weddell Sea Bottom Water gravity current

This is the analysis code to the publication Pinner et al., 2025: Internal-wave-induced dissipation rates in the Weddell Sea Bottom Water gravity current

The Weddell Sea Bottom Water gravity current transports dense water from the continental shelf to the deep sea and is crucial for the formation of new deep sea water. Build on vertical profiles and time series measured in the northwestern Weddell Sea, we apply 3 methods to distinguish turbulence caused by internal waves from turbulence by other sources. We find that in the upper part of the gravity current, internal waves are important for the mixing of less dense water down into the current.

If the paper is officially published, a new release will be made, updating the metadata.

- Jupyter Notebook
Published by opinner about 1 year ago

code_to_pinner_et_al_2025 - v0.2.2-peer-review

Analysis code to: Pinner et al., 2024

This is the analysis code to the following publication, currently in open peer-review: Pinner et al., 2024: Internal-wave-induced dissipation rates in the Weddell Sea Bottom Water gravity current

Disclaimer

• Although this code produces the results and figures to the accompanying paper, this repository still contains unused code snippets and unfinished documentation. The repository will be cleaned up further during the review process, while making sure that the output remains the same. This may include the renaming of files or functions to better communicate their purpose.
• Comments or corrections to the code can be given on GitHub as issues or discussions or on EGUsphere as a community reviewer.
  
• Note that figures created here can differ slightly from the submitted versions, as some post-processing (adjustements and labeling) were made with Inkscape.

- Jupyter Notebook
Published by opinner over 1 year ago

code_to_pinner_et_al_2025 - Code is now updated to match the submitted paper

This is the analysis code to the for open peer-review submitted publication
Pinner et al., 2024, Internal-wave-induced dissipation rates in the Weddell Sea Bottom Water gravity current

• Although this code produces the results and figures to the accompanying paper, this repository still contains unused code snippets and unfinished documentation. The repository will be cleaned up further during the review process, while making sure that the output remains the same. This may include the renaming of files or functions to better communicate their purpose.
• Comments or corrections to the code can be given on GitHub as issues or discussions, or on EGUsphere as a community reviewer.
• Note that figures created here can differ slightly from the submitted versions, as some post-processing (adjustments and labelling) were made with Inkscape.

- Jupyter Notebook
Published by opinner over 1 year ago

code_to_pinner_et_al_2025 - v0.1.3-peer-review

This is the analysis code to the submitted paper: Pinner et al., 2024, Internal-wave-induced dissipation rates in the Weddell Sea Bottom Water gravity current

The paper is currently in an open peer review and will be hopefully published not too far in the future.

This release is done to start the archiving process with Zenodo. I apologize to everyone for the mistakes I make while figuring this out.

- Jupyter Notebook
Published by opinner over 1 year ago