Global Analysis Forecast PHY 001 024

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.

Data and Resources

Additional Info

Field Value
Source https://arxiv.org/pdf/1910.13524.pdf
Author Copernicus Marine Environment Monitoring Service
Maintainer Yi Cao
Last Updated February 4, 2021, 23:31 (UTC)
Created February 4, 2021, 22:42 (UTC)