Assessing recent trends in high-latitude Southern Hemisphere surface climate

© 2016 Macmillan Publishers Limited, part of Springer Nature. Understanding the causes of recent climatic trends and variability in the high-latitude Southern Hemisphere is hampered by a short instrumental record. Here, we analyse recent atmosphere, surface ocean and sea-ice observations in this reg...

Full description

Bibliographic Details
Published in:Nature Climate Change
Main Authors: Jones, JM, Gille, ST, Goosse, H, Abram, NJ, Canziani, PO, Charman, DJ, Clem, KR, Crosta, X, De Lavergne, C, Eisenman, I, England, MH, Fogt, RL, Frankcombe, LM, Marshall, GJ, Masson-Delmotte, V, Morrison, AK, Orsi, AJ, Raphael, MN, Renwick, JA, Schneider, DP, Simpkins, GR, Steig, EJ, Stenni, B, Swingedouw, D, Vance, TR
Format: Article in Journal/Newspaper
Language:English
Published: eScholarship, University of California 2016
Subjects:
Online Access:http://www.escholarship.org/uc/item/1nm9c81r
Description
Summary:© 2016 Macmillan Publishers Limited, part of Springer Nature. Understanding the causes of recent climatic trends and variability in the high-latitude Southern Hemisphere is hampered by a short instrumental record. Here, we analyse recent atmosphere, surface ocean and sea-ice observations in this region and assess their trends in the context of palaeoclimate records and climate model simulations. Over the 36-year satellite era, significant linear trends in annual mean sea-ice extent, surface temperature and sea-level pressure are superimposed on large interannual to decadal variability. Most observed trends, however, are not unusual when compared with Antarctic palaeoclimate records of the past two centuries. With the exception of the positive trend in the Southern Annular Mode, climate model simulations that include anthropogenic forcing are not compatible with the observed trends. This suggests that natural variability overwhelms the forced response in the observations, but the models may not fully represent this natural variability or may overestimate the magnitude of the forced response.