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Dynamical Seasonal Predictability Of The Arctic Oscillation Using A CGCM

J. Sun, Joong-Bae Ahn
Published 2015 · Environmental Science

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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.
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