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Dynamical seasonal predictability of the Arctic Oscillation using a CGCM
Author(s) -
Sun Jianqi,
Ahn JoongBae
Publication year - 2014
Publication title -
international journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0899-8418
DOI - 10.1002/joc.4060
Subject(s) - predictability , hindcast , climatology , environmental science , northern hemisphere , arctic , arctic oscillation , climate model , latitude , general circulation model , meteorology , climate change , geography , oceanography , geology , mathematics , statistics , geodesy
The potential dynamical predictability of the winter Arctic Oscillation (AO) is investigated using the ensemble hindcast from the Pusan National University coupled general circulation model (PNU‐CGCM) over the 30‐year period of 1981–2010. The analysis indicates that PNU‐CGCM can not only reproduce the spatial distribution of the AO but also significantly simulate the AO's temporal variability. In addition, the coupled model performs well in terms of predicting the AO's impact on the Northern Hemisphere winter climate. These results reveal the coupled model's potential for dynamical forecasting of the climate over the mid‐latitude to high latitude.