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Seasonal prediction of wintertime north Pacific blocking: What are we capturing and missing?

Mingyu
Park
Princeton University
Nathaniel Johnson, Geophysical Fluid Dynamics Laboratory-National Oceanic and Atmospheric Administration
Talk
During boreal winter, atmospheric blocking, which is characterized by persistent, quasi-stationary high-pressure anomalies, often drives the occurrence of cold extremes in remote regions through cold horizontal advection and anomalous surface radiative flux. However, due to the chaotic nature of the extratropical atmospheric circulation and errors in state-of-the-art climate models in the simulation of blocking, the prediction of blocking remains a challenging task. In this study, by leveraging both observational data and a state-of-the-art seasonal prediction model developed at the Geophysical Fluid Dynamics Laboratory, SPEAR (Seamless System for Prediction and Earth System Research), we investigate the prediction skill of North Pacific wintertime blocking frequency and its linkage to downstream cold extremes.

The observational results show that the climatological blocking frequency during boreal winter has a local maximum over the central North Pacific Ocean and that the occurrence of North Pacific blocking drives significant cold anomalies over northwestern North America within a week. These observed features of North Pacific blocking are well reproduced by the model. Regarding the blocking prediction skill, the model results show that the frequency of the western North Pacific blocking nearby the subtropical jet exit region can be skillfully predicted at the shortest forecast lead, but skill drops off rapidly with lead time. In observation, these western North Pacific blocking events are triggered by localized tropical convection anomaly over the tropical Indian Ocean and central tropical Pacific Ocean, which excites a poleward propagating Rossby wave train and decelerates the subtropical jet accompanied by its equatorward shift. Prompted by skillful seasonal prediction of sea surface temperature variability, a hybrid dynamical-statistical model of winter blocking frequency using SPEAR-forecasted predictors is constructed and shows the potential for skillful predictions up to seven months. Our results indicate that an improvement in the seasonal prediction skill of winter North Pacific blocking frequency may be achieved by the representation of the links among sea surface temperature anomalies, tropical convection, and the ensuing tropical-extratropical interaction that initiates North Pacific atmospheric blocking.
Presentation file