Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations
<p>This work evaluates the statistical predictability of the Arctic sea ice volume (SIV) anomaly – here defined as the detrended and deseasonalized SIV – on the interannual timescale. To do so, we made use of six datasets, from three different atmosphere–ocean general circulation models, with...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-07-01
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| Series: | The Cryosphere |
| Online Access: | https://tc.copernicus.org/articles/14/2409/2020/tc-14-2409-2020.pdf |