DIVAnd training: producing ocean climatologies with Jupyter notebooks

The DIVA-workshops project consists of a set of Jupyter notebooks, focused on the creation of gridded fields from in-situ observations using DIVAnd.DIVAnd is a software tool, written in Julia, which performs interpolation in an arbitrary number of dimensions.The notebooks address the different stages of oceanographic climatology generation: data reading and preparation, extraction of the topography and creation of a land-sea mask, setting of the spatial resolution and the time periods, estimation of the analysis parameters, analysis and creation of the metadata.The target audience is broad as it includes: data analysts, who wish to create climatologies; physical oceanographers, who want to grid their observations for visualisation and potentially for quality control, and programmers, who want to include DIVAnd interpolation in a larger workflow involving other processing steps.