This dataset contains data from the product GLOBAL ANALYSIS FORECAST PHY 001 024 provided by the Copernicus Marine Environment Monitoring Service. This product contains daily means of several ocean-related variables such as temperature and salinity on a 1/12 degree lon–lat grid. This dataset is posted here for reproducibility of the results in a paper which applies a convolution-neural-network-integro-difference-equation model for modelling sea-surface temperature; it should not be used for any scientific analyses. More details are available here in Section 4.1. The reference for the published article is:
Zammit-Mangion, A., & Wikle, C. K. (2020). Deep integro-difference equation models for spatio-temporal forecasting. Spatial Statistics, 37, 100408.