Atmospheric circulation patterns associated to the record-breaking low and high 
temperature events registered at Carlini Station in South Shetlands, Antarctica

Costa, Alfredo J.; Silvestri, Gabriel E.; Berman, Ana Laura

doi:10.57757/IUGG23-2467

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Atmospheric circulation patterns associated to the record-breaking low and high temperature events registered at Carlini Station in South Shetlands, Antarctica

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Costa, Alfredo J.
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Silvestri, Gabriel E.
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Berman, Ana Laura
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Costa, A. J., Silvestri, G. E., Berman, A. L. (2023): Atmospheric circulation patterns associated to the record-breaking low and high temperature events registered at Carlini Station in South Shetlands, Antarctica, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-2467

Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5018285

Abstract

This work aims to analyze near-surface air temperature at Carlini Argentine Antarctic Station, in Potter Cove (PC), in order to study the extreme events in which the record-breaking low and high temperatures for the 1985-2022 period were registered over this area of 25 de Mayo (King George) Island at the South Shetland Archipelago, located to the northwest of the Antarctic Peninsula (AP). The coldest event took place between 23 and 26 July 1994, with a low record-breaking temperature of -27.3°C for Carlini station since records began, while the warmest was observed 7 and 8 February 2022 reaching a high record-breaking temperature of +13.6°C. Reanalysis data from NCEP/NCAR and ERA5 from ECWMF are used to analyze the circulation patterns associated to these extreme events in PC, evidencing an easterly (northerly) large-scale flow which may favour conditions for the occurrence of the coldest (warmest) extreme events. Furthermore, sea ice extent may have played a relative role for the development of such extreme cold event, as well as a foehn effect for the warm event. Even though, reanalysis data resolution may not be suitable for understanding the whole forcings of such local events, they give an approximate diagnosis of the situation which led to the conditions for the observed extreme events.