Skilful seasonal predictions of Baltic Sea ice cover
Bibliographic Data
| ID | 15544604 |
|---|---|
| Authors | Alexey Yu Karpechko (0000-0003-0902-0414, Finnish Meteorological Institute, corresponding author), K Andrew Peterson (0000-0002-9968-3539, Met Office), Adam A Scaife (0000-0002-5189-7538, Met Office), Jouni Vainio (Finnish Meteorological Institute), Hilppa Gregow (0000-0003-3805-2247, Finnish Meteorological Institute) |
| Year | 2015 |
| Volume | 10 |
| Issue | 4 |
| Pages | 044007-044007 |
| Publication date | 2015-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/10/4/044007 |
| OpenAlex | W2100224994 |
| Language | EN |
| Citations received | 3 |
| References cited | 24 |
The interannual variability in the Baltic Sea ice cover is strongly influenced by large scale atmospheric circulation. Recent progress in forecasting of the winter North Atlantic Oscillation (NAO) provides the possibility of skilful seasonal predictions of Baltic Sea ice conditions. In this paper we use a state-of-the-art forecast system to assess the predictability of the Baltic Sea annual maximum ice extent (MIE). We find a useful level of skill in retrospective forecasts initialized as early as the beginning of November. The forecast system can explain as much as 30% of the observed variability in MIE over the period 1993–2012. This skill is derived from the predictability of the NAO by using statistical relationships between the NAO and MIE in observations, while explicit simulations of sea ice have a less predictive skill. This result supports the idea that the NAO represents the main source of seasonal predictability for Northern Europe
Arctic ice pack · Baltic sea · Climatology · Forecast skill · North Atlantic oscillation · Predictability · Sea ice · Arctic and Antarctic ice dynamics · Climate variability and models · Environmental Science · Oceanographic and Atmospheric Processes · Geology · Oceanography
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2017 - 2018 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |