2019
DOI: 10.1002/joc.6378
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Antarctic temperature variability and change from station data

Abstract: Variability and change in near-surface air temperature at 17 Antarctic stations is examined using data from the SCAR READER database. We consider the relationships between temperature, and atmospheric circulation, sea ice concentration and forcing by the tropical oceans. All 17 stations have their largest inter-annual temperature variability during the winter and the annual mean temperature anomalies are dominated by winter temperatures. The large interannual temperature variability on the western Antarctic Pe… Show more

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Cited by 154 publications
(139 citation statements)
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“…This pattern is consistent with the trend pattern derived from the synthesized air temperate dataset for the period 1958-2002 (Chapman and Walsh 2007). Furthermore, we utilized the READER database (Turner et al 2004(Turner et al , 2019 to assess the regional ERA20C's temperature trend at Antarctic stations (15 for coastal/island stations and 2 for inland stations; see Fig. 2g for the locations).…”
Section: Comparisons Of the Reanalysis Atmospheric Fields With Availasupporting
confidence: 78%
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“…This pattern is consistent with the trend pattern derived from the synthesized air temperate dataset for the period 1958-2002 (Chapman and Walsh 2007). Furthermore, we utilized the READER database (Turner et al 2004(Turner et al , 2019 to assess the regional ERA20C's temperature trend at Antarctic stations (15 for coastal/island stations and 2 for inland stations; see Fig. 2g for the locations).…”
Section: Comparisons Of the Reanalysis Atmospheric Fields With Availasupporting
confidence: 78%
“…The representation of the atmospheric fields directly links to the reliability of the results from the ocean-sea ice-ice shelf model forced with the atmospheric surface boundary conditions. Therefore, we compare the atmospheric reanalysis fields with available observation-based evidence (air temperature observations at Antarctic stations from the READER database (Turner et al 2004(Turner et al , 2019 and three SAM indices) to provide an assessment of the atmospheric conditions in the high-latitude Southern Hemisphere. Figure 3 is scatter diagrams of the temperature trend and variability and SAM trend for quantitative comparison.…”
Section: Comparisons Of the Reanalysis Atmospheric Fields With Availamentioning
confidence: 99%
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“…Warming in the Antarctic Peninsula has already exceeded 1.5°C over pre-industrial temperatures 15 , and current Intergovernmental Panel on Climate Change (IPCC) projections indicate further global increases 16,17 . Set against a background of natural decadal temperature variability 18,19 , climatic changes on the Peninsula are already influencing its vegetation 20,21 . With the available area for plant colonisation on the Peninsula likely to increase by up to threefold due to this warming 22 , understanding how snow algae fit into Antarctica's biosphere and their probable response to warming is critical to understanding the overall impact of climate change on Antarctica's vegetation.…”
mentioning
confidence: 99%
“…12c) was noted in Clem & Fogt (2013), Turner et al (2016Turner et al ( , 2019 and Clem et al (2017) as one of the possible climate-forming factors in the AP region. The ASL depth is dependent on the tropical teleconnection, as is mentioned above, and is strongly influenced by the SAM phase with negative SLP anomalies when the SAM is positive (Fogt et al 2012, Turner et al 2013, 2019, Clem et al 2017. Note that the negative SLP anomaly in Fig.…”
Section: The Role Of Negative Slp Anomalymentioning
confidence: 92%