Post-processed Antarctic OSI-SAF v2 data for training IceDMD model
Authors/Creators
Description
These data include the temporally complete daily and 15-day averaged versions of the OSI SAF Global Sea Ice Concentration (Version 2.0). These derivative products resolve the data gaps inherent in the original satellite records, facilitating continuous time-series analysis for modelling and training prediction models (including IceDMD).
The original OSI SAF v2.0 product, while highly accurate, contains intermittent missing days. For this version, we have applied a linear interpolation method across the temporal dimension to estimate missing values. This ensures that every grid cell contains a valid sea ice concentration value for every day within the covered period.
We also include the land mask file used for the research, and the precomputed results, and predictive DMD model results, and mrCOSTS fits in order to reproduce the results from the paper
Files
Files
(25.1 GB)
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Additional details
Funding
- The Alan Turing Institute
- Ecosystem Leadership Award EP/X03870X/1
- FWF Austrian Science Fund
- 10.55776/ESP214
Software
- Repository URL
- https://github.com/alan-turing-institute/IceDMD-Antarctic-Paper
- Programming language
- Python , Jupyter Notebook
Biodiversity
- Catalog number
- ATI Publications 13