Spatiotemporal Variability of the Southern Annular Mode and its Influence on Antarctic Surface Temperatures

The Southern Annular Mode (SAM) is the predominant atmospheric variability mode in the Southern Hemisphere. In this paper, we present the spatial variability results of the SAM pattern for the period 1979–2018. The SAM‐intrinsic pattern variability analysis is based on the principal component analys...

Full description

Bibliographic Details
Main Authors: Wachter, Paul, Beck, Christoph, Philipp, Andreas, Höppner, Kathrin, Jacobeit, Jucundus
Format: Text
Language:English
Published: FID GEO 2020
Subjects:
Online Access:https://dx.doi.org/10.23689/fidgeo-4108
https://e-docs.geo-leo.de/handle/11858/8448
id ftdatacite:10.23689/fidgeo-4108
record_format openpolar
spelling ftdatacite:10.23689/fidgeo-4108 2023-05-15T13:30:25+02:00 Spatiotemporal Variability of the Southern Annular Mode and its Influence on Antarctic Surface Temperatures Wachter, Paul Beck, Christoph Philipp, Andreas Höppner, Kathrin Jacobeit, Jucundus 2020 https://dx.doi.org/10.23689/fidgeo-4108 https://e-docs.geo-leo.de/handle/11858/8448 en eng FID GEO Text Article article-journal ScholarlyArticle 2020 ftdatacite https://doi.org/10.23689/fidgeo-4108 2021-11-05T12:55:41Z The Southern Annular Mode (SAM) is the predominant atmospheric variability mode in the Southern Hemisphere. In this paper, we present the spatial variability results of the SAM pattern for the period 1979–2018. The SAM‐intrinsic pattern variability analysis is based on the principal component analysis (PCA), which is carried out for the ERA‐Interim 500 hPa geopotential height (GPH) data set. A spatiotemporally resolved data set of SAM pattern maps (PCA loadings) is derived by projecting monthly shifted sub‐sequences of SAM index values (PCA scores) on the corresponding GPH anomalies. The dominant SAM structure within single pattern fields is mapped automatically and can be interpreted as the Southern Hemisphere polar front. This data set allows an analysis of the geographical positions of the characteristic circumpolar SAM structure over four decades and shows considerable variability over space and time. Five different states of SAM patterns, which are associated with characteristic circulation anomalies during different phases of the study period, are identified. Station‐based Antarctic temperature anomalies can be synoptically explained by these circulation anomalies. The overall latitudinal trend of the SAM pattern indicates an intensification of the meridional structure, especially over the East Antarctic Southern Ocean. Furthermore, we show that the SAM pattern variability is significantly correlated with the Pacific Decadal Oscillation and the Atlantic Multidecadal Oscillation. Composites of 500 hPa GPH anomalies during the positive and negative phases of the respective indices indicate teleconnections with Pacific Decadal Oscillation and Atlantic Multidecadal Oscillation, and this can explain latitudinal trends of the SAM pattern. : Key Points: We present a new approach to examine the spatiotemporal Southern Annular Mode pattern variability. Station‐based Antarctic temperature anomalies are related to different structures of the Southern Annular Mode. The trend pattern shows an increasing meridional structure and correlations with Pacific and Atlantic multidecadal oscillations. : DLR Management Board: Young Investigator Group Leader Program Text Antarc* Antarctic Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Antarctic Pacific Southern Ocean
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description The Southern Annular Mode (SAM) is the predominant atmospheric variability mode in the Southern Hemisphere. In this paper, we present the spatial variability results of the SAM pattern for the period 1979–2018. The SAM‐intrinsic pattern variability analysis is based on the principal component analysis (PCA), which is carried out for the ERA‐Interim 500 hPa geopotential height (GPH) data set. A spatiotemporally resolved data set of SAM pattern maps (PCA loadings) is derived by projecting monthly shifted sub‐sequences of SAM index values (PCA scores) on the corresponding GPH anomalies. The dominant SAM structure within single pattern fields is mapped automatically and can be interpreted as the Southern Hemisphere polar front. This data set allows an analysis of the geographical positions of the characteristic circumpolar SAM structure over four decades and shows considerable variability over space and time. Five different states of SAM patterns, which are associated with characteristic circulation anomalies during different phases of the study period, are identified. Station‐based Antarctic temperature anomalies can be synoptically explained by these circulation anomalies. The overall latitudinal trend of the SAM pattern indicates an intensification of the meridional structure, especially over the East Antarctic Southern Ocean. Furthermore, we show that the SAM pattern variability is significantly correlated with the Pacific Decadal Oscillation and the Atlantic Multidecadal Oscillation. Composites of 500 hPa GPH anomalies during the positive and negative phases of the respective indices indicate teleconnections with Pacific Decadal Oscillation and Atlantic Multidecadal Oscillation, and this can explain latitudinal trends of the SAM pattern. : Key Points: We present a new approach to examine the spatiotemporal Southern Annular Mode pattern variability. Station‐based Antarctic temperature anomalies are related to different structures of the Southern Annular Mode. The trend pattern shows an increasing meridional structure and correlations with Pacific and Atlantic multidecadal oscillations. : DLR Management Board: Young Investigator Group Leader Program
format Text
author Wachter, Paul
Beck, Christoph
Philipp, Andreas
Höppner, Kathrin
Jacobeit, Jucundus
spellingShingle Wachter, Paul
Beck, Christoph
Philipp, Andreas
Höppner, Kathrin
Jacobeit, Jucundus
Spatiotemporal Variability of the Southern Annular Mode and its Influence on Antarctic Surface Temperatures
author_facet Wachter, Paul
Beck, Christoph
Philipp, Andreas
Höppner, Kathrin
Jacobeit, Jucundus
author_sort Wachter, Paul
title Spatiotemporal Variability of the Southern Annular Mode and its Influence on Antarctic Surface Temperatures
title_short Spatiotemporal Variability of the Southern Annular Mode and its Influence on Antarctic Surface Temperatures
title_full Spatiotemporal Variability of the Southern Annular Mode and its Influence on Antarctic Surface Temperatures
title_fullStr Spatiotemporal Variability of the Southern Annular Mode and its Influence on Antarctic Surface Temperatures
title_full_unstemmed Spatiotemporal Variability of the Southern Annular Mode and its Influence on Antarctic Surface Temperatures
title_sort spatiotemporal variability of the southern annular mode and its influence on antarctic surface temperatures
publisher FID GEO
publishDate 2020
url https://dx.doi.org/10.23689/fidgeo-4108
https://e-docs.geo-leo.de/handle/11858/8448
geographic Antarctic
Pacific
Southern Ocean
geographic_facet Antarctic
Pacific
Southern Ocean
genre Antarc*
Antarctic
Southern Ocean
genre_facet Antarc*
Antarctic
Southern Ocean
op_doi https://doi.org/10.23689/fidgeo-4108
_version_ 1766008027605893120