OceanArray
Python tools for processing moored oceanographic array observations from raw instrument files to quality-controlled, CF-compliant NetCDF.
Documentation: https://ocean-uhh.github.io/oceanarray/
Installation
pip install oceanarray
Or, with uv:
uv pip install oceanarray
This pulls in seasenselib (used to read raw instrument files in stage 1) automatically.
Python 3.10–3.12 is supported. See the installation guide for isolated-environment (conda / venv / uv) and from-source options.
Quick start
Create a skeleton YAML, fill in the deployment metadata, then process:
oceanarray init dsG3_1_2026 --proc-dir /data/proc
# edit /data/proc/dsG3_1_2026/dsG3_1_2026.mooring.yaml
oceanarray validate /data/proc/dsG3_1_2026/dsG3_1_2026.mooring.yaml
oceanarray process dsG3_1_2026 --raw-dir /data/raw --proc-dir /data/proc --stage 1 2 3 stack grid
oceanarray report dsG3_1_2026 --raw-dir /data/raw --proc-dir /data/proc --all
See the documentation for the recommended first-processing workflow, YAML reference, and CLI reference.
Python API
import oceanarray
oceanarray.process("dsG3_1_2026", raw_dir="/data/raw", proc_dir="/data/proc")
See the API reference for the full interface.
Acknowledgements
Development was assisted by Claude Code (Anthropic) and GitHub Copilot code review.
The data-processing approach draws on methods developed for the RAPID mooring array programme (UK/US funded). oceanarray is developed toward the DFG Ocean Array infrastructure project (DFG project number 571027118), from which it takes its name, and was first applied in the AEI–DFG MIXSED project (DFG project number 541914507).
License
MIT License
1 maintainer
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