CTDFjorder is a Python package for processing and analyzing CTD (Conductivity, Temperature, Depth) data. Documentation: Read the docs
- Read RBR (.rsk) and SonTek Castaway (.csv) files and extract CTD data
- Process CTD data, including removing non-positive samples and cleaning data
- Calculate derived quantities such as absolute salinity, density, and potential density
- Determine mixed layer depth (MLD) using different methods
- Generate plots for visualizing CTD profiles and derived quantities
- Command-line interface (CLI) for easy processing and merging of CTD data files
It's recommended that you create a new environment just for CTDFjorder. This can be done in conda with the following command.
conda create --name ctdfjorder python=3.12
conda activate ctdfjorder
To install ctdfjorder you can use pip:
pip install ctdfjorder
CTDFjorder provides a command-line interface (CLI) for processing and analyzing CTD data in addition to serving as a python library. A tutorial has been setup here for running the CLI.
If you encounter an issue while running or using CTDFjorder, please submit a report on the Issues page. This is the fastest way to get your problem resolved.
CTDFjorder is released under the MIT License.
Citation information for CTDFjorder can be found here zenodo.13293665.
CTDFjorder was developed for the Fjord Phyto project. The GSW-python library was used for certain dervied calculations.
McDougall, T. J., & Barker, P. M. (2011). Getting started with TEOS-10 and the Gibbs Seawater (GSW) Oceanographic Toolbox. SCOR/IAPSO WG127.
Pan, B.J.; Vernet, M.; Reynolds, R.A.; Mitchell, B.G.: The optical and biological properties of glacial meltwater in an Antarctic fjord. PLOS ONE 14(2): e0211107 (2019). https://doi.org/10.1371/journal.pone.0211107