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DIVA Workshops and training

This page provides the Jupyter notebooks (examples and exercises) for the DIVAnd user workshops and training sessions organised in the frame of H2020 SeaDataCloud project.

Diva and DIVAnd are software tools designed to generate gridded fields from in-situ observations.

Notebooks can be previewed with the service nbviewer.

Objectives

  • The 1st workshop (Liège, 3-6 April 2018) was focused on the creation of gridded products and climatologies using DIVAnd. The organizational details are available.

  • Within the 2nd SeaDataCloud training course (19-26 June 2019), the objective is to introduce participants to the Julia language, the Jupyter notebooks and the new Virtual Research Environment.

  • The 2nd workshop (Bologna, 27-30 January 2020) was attended by beginners, intermediate and advanced users, and the goal was to help them create new products with DIVAnd.

Recommendation for the products

A list of recommendations for the preparation of products.

Tips and tricks

Export ODV to netCDF

Instructions and screen-shots detailing how to create a netCDF from an ODV collection.

Adding EDMO code and CDI to CORA data sets

Instructions and screen-shots to show how to add metadata to a CORA dataset.

Manipulation of a netCDF with nco

Examples

Viewing netCDF file

netCDF

Saving the attributes in a text file

This is useful when working on a machine with no internet connexion:
save_attributes_file.ipynb

Binder

Most notebooks need more resources that what is can currently available on Binder. The introduction notebooks (introduction to OI and variationa analysis) however work Binder.