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OceanSpy contains algorithms to facilitate extracting information from ocean model output hosted by SciServer.

Project description

OceanSpy - A Python Package for Oceanographic Investigations

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OceanSpy is a python package that facilitates extracting information from numerical model output of Ocean General Circulation Models set up and run by the research group of Prof. Thomas W. N. Haine. The dynamics are simulated using the Massachussets Institute of Technology general circulation model (MITgcm), and high-resolution data are publicly available on SciServer. SciServer is a collaborative research environment for large-scale data-driven science administered by IDIES at Johns Hopkins University.

The analysis of large datasets is often restricted by limited computation resources. Our goal is to build a collaborative sharing environment where users can access and process high-resolution datasets. OceanSpy aims to allow users to trace the physical evolution of ocean currents across orders of magnitude in space and time, and to quickly analyze important aspects of model events in conjunction with observational data.

Features

  • OceanSpy’s documentation is available at: https://oceanspy.readthedocs.io/en/latest/
  • OceanSpy is meant to be user-friendly and does not require advanced coding skills.
  • SciServer users can either download subsets of data on their own machines, or run our tools online and store/visualize post-processing files on SciServer.

Credits

OceanSpy is based on several tools and packages that are part of the Pangeo initiative, such as xarray and dask.

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.0.5 (2018-05-14)

  • Use negative Z

0.0.4 (2018-04-11)

  • Fix smart_chunking

0.0.3 (2018-04-11)

  • Fix generate_ds_grid
  • Add subsample

0.0.2 (2018-04-09)

  • Add generate_ds_grid

0.0.1 (2018-04-09)

  • First release on PyPI.

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