esteban82 / ibcso_v2_dorschel_et_al_2022

Code base for Dorschel et al 2022 (IBCSO v2)

The International Bathymetric Chart of the Southern Ocean (IBCSO) Version 2

Dorschel et al. (2022)

https://doi.org/10.1038/s41597-022-01366-7

Homepage:

www.ibcso.org

Contact:

[email protected]
[email protected]

Twitter: @ibcso

Script repository

This repository contains all scripts that were used in the creation of the manuscript and the analysis contained therein. This repository contains all scripts used in the main work flow (SEAHORSE) in an abstracted form. This means that you will not be able to use it as is - SEAHORSE is heavily adapted to work seamlessly in our HPC ecosystem. You might use it as a template to create your own derivative of the work flow.

This repository also contains the comparison between IBCSO v2 and IBCSO v1 / SRTM15+ v2.2. These can be run using the Python and R scripts. However, since the data creation requires intensive processing of large tables, we implemented an HPC solution. The Python functions can be run separately to create the required data sets for the visualization though.

This repository contains the following folders:

• SEAHORSE
  • all shell, srun and python scripts used in the main work flow (SEAHORSE) to create a gridded map from xyz files
• COMPARISON
  • contains the scripts for both comparisons in the paper:
  • discrepancy map of sub areas
  • comparison between IBCSO v2 and IBCSO v1 / SRTM15+ v2.2

Software References:

GDAL 3.1.4

GDAL/OGR contributors. (2020). GDAL/OGR Geospatial Data Abstraction software Library. Retrieved from https://gdal.org

GMT 6.1.1

Wessel, P., Luis, J. F., Uieda, L., Scharroo, R., Wobbe, F., Smith, W. H. F., & Tian, D. (2019). The Generic Mapping Tools version 6. Geochemistry, Geophysics, Geosystems, 20, 5556–5564. https://doi.org/10.1029/2019GC008515

dask 2.30.0

Dask Development Team (2016). Dask: Library for dynamic task scheduling URL https://dask.org

numpy 1.20.1

Harris, C.R., Millman, K.J., van der Walt, S.J. et al. Array programming with NumPy. Nature 585, 357–362 (2020). DOI: 10.1038/s41586-020-2649-2. https://www.nature.com/articles/s41586-020-2649-2

pandas 1.2.2

The pandas Development Team (2021). pandas-dev/pandas: Pandas 1.2.2 URL https://pandas.pydata.org/ doi: https://doi.org/10.5281/zenodo.4524629

rasterio 1.2.0

Gillies, S., & others. (2019). Rasterio: geospatial raster I/O for Python programmers. Retrieved from "https://github.com/rasterio/rasterio"

shapely 1.7.1

Gillies, S., & others. (2007). Shapely: manipulation and analysis of geometric objects. Retrieved from "https://github.com/Toblerity/Shapely"

Python3

Van Rossum, G., & Drake, F. L. (2009). Python 3 Reference Manual. Scotts Valley, CA: CreateSpace.

SEAHORSE is using the following libraries under LGPL:

psycopg2 2.8.6