IRISCC is pleased to invite you to a two-part training series on DIVAnd (Data-Interpolating Variational Analysis in n dimensions), a tool for interpolating irregularly spaced observations onto regular grids. Widely used in oceanography and environmental sciences, DIVAnd enables researchers to generate smooth, continuous fields from in situ measurements while accounting for complex constraints such as topography.
This training series is designed for researchers working with spatial data who wish to build confidence in using DIVAnd—from basic Julia commands to advanced analyses using their own datasets.
