%0 Journal Article %1 karpechko2015skilful %A Karpechko, Alexey Yu %A Peterson, K Andrew %A Scaife, Adam A %A Vainio, Jouni %A Gregow, Hilppa %D 2015 %J Environmental Research Letters %K MyECEMpaper colleagues nao seaice seasonal skill %N 4 %P 044007 %R 10.1088/1748-9326/10/4/044007 %T Skilful seasonal predictions of Baltic Sea ice cover %U http://stacks.iop.org/1748-9326/10/i=4/a=044007 %V 10 %X 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.

@article{karpechko2015skilful, abstract = {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.}, added-at = {2018-10-09T22:31:55.000+0200}, author = {Karpechko, Alexey Yu and Peterson, K Andrew and Scaife, Adam A and Vainio, Jouni and Gregow, Hilppa}, biburl = {https://www.bibsonomy.org/bibtex/209faaaa0198b86fbff411982a034680b/pbett}, description = {Skilful seasonal predictions of Baltic Sea ice cover - IOPscience}, doi = {10.1088/1748-9326/10/4/044007}, interhash = {4e127f8591b330fd3c0226cdb68a8137}, intrahash = {09faaaa0198b86fbff411982a034680b}, journal = {Environmental Research Letters}, keywords = {MyECEMpaper colleagues nao seaice seasonal skill}, number = 4, pages = 044007, timestamp = {2018-10-09T22:33:31.000+0200}, title = {Skilful seasonal predictions of Baltic Sea ice cover}, url = {http://stacks.iop.org/1748-9326/10/i=4/a=044007}, volume = 10, year = 2015 }