We followed the method of Häkkinen and Rhines (2004) to calculate the Sub-Polar Gyre Index, which has been defined as the first Principal Component (PC1) of an Empirical Orthogonal Function Analysis (EOFA) of the sea level anomaly field in the North Atlantic.
doi:
10.7489/1806-1
Citation:
Berx, B. 2016. Sub-Polar Gyre Index. doi: 10.7489/1806-1
Data and Resources
- SPG Index - Version 1 - Released October 2016csv
Column headers Year: year of observation Month: month of observation SPG-I...
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| Field | Value |
|---|---|
| Publisher | |
| Modified | 2020-01-07 |
| Release Date | 2016-10-12 |
| Frequency | Annually |
| Identifier | 1a4e7724-f367-4580-b991-af324fd7f36d |
| Spatial / Geographical Coverage Area | POLYGON ((-66.139454841614 42.914599606213, -66.139454841614 73.203347949359, 14.080073833466 73.203347949359, 14.080073833466 42.914599606213)) |
| Temporal Coverage | 1993-01-01 to 2015-12-31 |
| License | UK Open Government Licence (OGL) |
| Granularity | Monthly values |
| Author | |
| Data Dictionary | Based on AVISO Sea Surface Height Maps in the North Atlantic. Column headers Year: year of observation Month: month of observation SPG-I Monthly: sub-polar gyre index (dimensionless) at monthly resolution SPG-I Annual Filter: annual sub-polar gyre index (dimensionless) after 13 month running mean filter Fill value: NaN (Not a Number) |
| Contact Name | Marine Scotland Science |
| Contact Email | |
| Public Access Level | Public |