Abstract
Climate research is often constrained by a limited amount of available data, for instance sparse and incomplete point observations. Yet it aims to understand and predict climate variability at large temporal and spatial scales. In those cases, the information provided by those limited and incomplete data sets needs to be interpreted, interpolated and extrapolated by the application of suitable mathematical methods, which are also required to maintain the physical consistency of the data. [...]
