The Relationship Between the Zonal Index and Annular Mode Index in Reanalysis and CMIP5 Models

• Published in: Asia-Pacific journal of atmospheric sciences Vol. 58; no. 1; pp. 117 - 126
• Main Authors: Son, Seok-Woo, Shin, Ji-Hoon, Park, Hyo-Seok, Choi, Jung
• Format: Journal Article
• Language: English
• Published: Seoul Korean Meteorological Society 01.02.2022; Springer Nature B.V; 한국기상학회
• Subjects: Antarctic Oscillation; Arctic Oscillation; Atmospheric Sciences; Climate; Climate models; Climatology; Cold season; Datasets; Dynamic height; Earth and Environmental Science; Earth Sciences; Future climates; Geophysics/Geodesy; Geopotential height; Interannual variability; Latitude; Original Article; Sea level; Sea level pressure; Seasons; Temporal variability; Temporal variations; Zonal index; 대기과학; Northern Hemisphere; Southern Hemisphere; Arctic Oscillation (AO) index; Zonal index; CMIP5 models; Reanalyses; Antarctic oscillation (AAO) index
• ISSN: 1976-7633; 1976-7951
• DOI: 10.1007/s13143-021-00244-3

The annular mode at the surface, referred to as the Arctic Oscillation (AO) in the Northern Hemisphere and the Antarctic Oscillation (AAO) in the Southern Hemisphere, is statistically defined by the leading mode of variability of sea level pressure (SLP) or geopotential height. Its principal component time series is set as the AO or AAO index. Although this metric is widely used, it needs an empirical orthogonal function analysis which introduces the complexity in the multi-model analysis. As an alternative measure, the zonal index (ZI), which is traditionally defined as the zonal-mean SLP difference between the two reference latitudes, has also been used. Here we re-evaluate the interannual and trend relationships between the ZI and the AO/AAO index using the two reanalysis datasets and 35 climate model simulations for both the present and future climate. For all datasets, the spatio-temporal variability of the Southern-Hemisphere ZI is almost identical to that of the AAO index. The ZI is still useful to examine the AO-related circulation variability and change in the Northern Hemisphere but mostly in the cold season. The data-dependent ZI, optimized for each data, exhibits a rather weak relationship with the AO index. This result suggests that the interannual variability and long-term trend of the midlatitude circulation can be concisely quantified by computing the fixed-latitude ZI in all seasons in the Southern Hemisphere and in the cold season in the Northern Hemisphere, not only for reanalysis data but also for climate model datasets which have significant biases varying from model to model.