OceanSpy

A Python package to facilitate ocean model data analysis and visualization

Journal article (2019)

Authors

Mattia Almansi Johns Hopkins University
Renske Gelderloos Johns Hopkins University
Thomas Haine Johns Hopkins University
Atousa Saberi Johns Hopkins University
Ali Siddiqui Johns Hopkins University
Affiliation
External organisation
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Published Date

2019

Language

English

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Affiliation

External organisation

Abstract

OceanSpy is an open-source and user-friendly Python package that enables scientists and inter- ested amateurs to analyze and visualize oceanographic data sets. OceanSpy builds on software packages developed by the Pangeo community, in particular Xarray (Hoyer & Hamman, 2017), Dask (Dask Development Team, 2016), and Xgcm (“Xgcm,” n.d.). The integration of Dask facilitates scalability, which is important for the petabyte-scale simulations that are becoming available. OceanSpy can be used as a standalone package for analysis of local circulation model output, or it can be run on a remote data-analysis cluster, such as the Johns Hopkins University SciServer system (Medvedev, Lemson, & Rippin, 2016), which hosts several sim- ulations and is publicly available. OceanSpy enables extraction, processing, and visualization of model data to (i) compare with oceanographic observations, and (ii) portray the kinematic and dynamic space-time properties of the circulation.