%0 Generic %1 Ma2016Quantifying %A Ma, Ding %A Hassanzadeh, Pedram %A Kuang, Zhiming %D 2016 %K reanalysis circulation dynamics jet %T Quantifying the eddy-jet feedback strength of the annular mode in an idealized GCM and reanalysis data %U http://arxiv.org/abs/1608.04130 %X A linear response function (LRF) that relates the temporal tendency of zonal mean temperature and zonal wind to their anomalies and external forcing is used to accurately quantify the strength of the eddy-jet feedback associated with the annular mode in an idealized GCM. Following a simple feedback model, the results confirm the presence of a positive eddy-jet feedback in the annular mode dynamics, with a feedback strength of 0.137 day\$^-1\$ in the idealized GCM. Statistical methods proposed by earlier studies to quantify the feedback strength are evaluated against results from the LRF. It is argued that the mean-state-independent eddy forcing reduces the accuracy of these statistical methods because of the quasi-oscillatory nature of the eddy forcing. A new method is proposed to approximate the feedback strength as the regression coefficient of low-pass filtered eddy forcing onto low-pass filtered annular mode index, which converges to the value produced by the LRF when timescales longer than 200 days are used for the low-pass filtering. Applying the new low-pass filtering method to the reanalysis data, the feedback strength in the Southern annular mode is found to be 0.121 day\$^-1\$, which is presented as an improvement over previous estimates. This work also highlights the importance of using sub-daily data in the analysis by showing the significant contribution of medium-scale waves of periods less than 2 days to the annular mode dynamics, which was under-appreciated in most of previous research. The present study provides a framework to quantify the eddy-jet feedback strength in models and reanalysis data.

@misc{Ma2016Quantifying, abstract = {A linear response function (LRF) that relates the temporal tendency of zonal mean temperature and zonal wind to their anomalies and external forcing is used to accurately quantify the strength of the eddy-jet feedback associated with the annular mode in an idealized GCM. Following a simple feedback model, the results confirm the presence of a positive eddy-jet feedback in the annular mode dynamics, with a feedback strength of 0.137 day\$^{-1}\$ in the idealized GCM. Statistical methods proposed by earlier studies to quantify the feedback strength are evaluated against results from the LRF. It is argued that the mean-state-independent eddy forcing reduces the accuracy of these statistical methods because of the quasi-oscillatory nature of the eddy forcing. A new method is proposed to approximate the feedback strength as the regression coefficient of low-pass filtered eddy forcing onto low-pass filtered annular mode index, which converges to the value produced by the LRF when timescales longer than 200 days are used for the low-pass filtering. Applying the new low-pass filtering method to the reanalysis data, the feedback strength in the Southern annular mode is found to be 0.121 day\$^{-1}\$, which is presented as an improvement over previous estimates. This work also highlights the importance of using sub-daily data in the analysis by showing the significant contribution of medium-scale waves of periods less than 2 days to the annular mode dynamics, which was under-appreciated in most of previous research. The present study provides a framework to quantify the eddy-jet feedback strength in models and reanalysis data.}, added-at = {2018-06-18T21:23:34.000+0200}, archiveprefix = {arXiv}, author = {Ma, Ding and Hassanzadeh, Pedram and Kuang, Zhiming}, biburl = {https://www.bibsonomy.org/bibtex/2b7007de19e8aae5f153eedf1c847f293/pbett}, citeulike-article-id = {14114327}, citeulike-linkout-0 = {http://arxiv.org/abs/1608.04130}, citeulike-linkout-1 = {http://arxiv.org/pdf/1608.04130}, day = 14, eprint = {1608.04130}, interhash = {d83fa0dac86c054930f87e983c30eb2c}, intrahash = {b7007de19e8aae5f153eedf1c847f293}, keywords = {reanalysis circulation dynamics jet}, month = aug, posted-at = {2016-08-16 11:52:30}, priority = {2}, timestamp = {2018-06-22T18:36:26.000+0200}, title = {Quantifying the eddy-jet feedback strength of the annular mode in an idealized GCM and reanalysis data}, url = {http://arxiv.org/abs/1608.04130}, year = 2016 }