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Tool description

DIVAnd stands for Data-Interpolating Variational Analysis in n dimensions.

It performs an n-dimensional variational analysis/gridding of arbitrarily located observations.

Installation

The source code (in Julia) is available from GitHub: https://github.com/gher-uliege/DIVAnd.jl.

The package is installed in Julia with the command:

import Pkg
Pkg.add("DIVAnd")

Deployment

For the deployment on servers, different options are available:

  1. From source (installing Julia and the related packages).
  2. Using a Docker image: https://github.com/gher-uliege/DIVAnd-jupyterhub
  3. Using a Singularity container: https://github.com/gher-uliege/DIVAnd-singularity

The second solution is the most used for the deployment in Virtual Research Environments.

Reference

Barth, A., Beckers, J.-M., Troupin, C., Alvera-Azcárate, A., and Vandenbulcke, L. (2014): DIVAnd-1.0: n-dimensional variational data analysis for ocean observations, Geosci. Model Dev., 7, 225-241, doi:10.5194/gmd-7-225-2014

Using DIVAnd

There are several ways to use DIVAnd:

  1. From the Julia terminal.
  2. Using Jupyter notebooks.
  3. Using Pluto notebooks.

While Jupyter notebooks are widely adopted and allow users to work with different programming languages, Pluto is more recent and only works with Julia. They offer more interactivity than traditional notebooks, while ensuring a full reproducibility by storing all the package versions withing the notebook file.

Using DIVAnd in FAIR-EASE

In FAIR-EASE, DIVAnd has been deployed using the Docker container.

Galaxy

Galaxy offers different possibilities to work with DIVAnd.
The session in Galaxy can be started at https://earth-system.usegalaxy.eu/.

Galaxy

Terminal

This solution is especially relevant for advanced users, who already have their code written in a script and don’t need a sophisticated interface.

Pluto

The Pluto notebooks provide more interactivity, yet they take some time to start due to the package compilation.

Galaxy and Pluto

Jupyter

This is the most used solution. Users have access to a set of notebooks designed to explain how to use DIVAnd. The notebooks are also available from GitHub: https://github.com/gher-uliege/Diva-Workshops.

Galaxy

D4Science

D4Science also

The session in Galaxy can be started at https://fair-ease.d4science.org/

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