Scientific observations and results from Antarctica shallbe exchanged and made freely available
"Glacial-interglacial cycles in biological productivity and nitrate utilization in the Subantarctic Ocean during the last 200 kyrs" for publication in Paleoceanography and Paleoclimatology Exp. 383 Site U1539 Location : 56°09.0655'S, 115°08.038'W
"Biogenic opal- to CaCO3-dominant sedimentary shift in the Ross Sea sector of the Southern Ocean during the Mid-Pleistocene Transition" in Paleoceanography and Paleoclimatology. RS15-GC107 Location : 68°04.0741'S, 178°37.9066'W Water Depth : 3050m Core Length : 8.4m RS15-LC108 Location : 67°29.6139'S, 178°45.1185'W Water Depth : 3690m Core Length : 17.5m
Paleoclimate change research in the Bransfield Strait region of Antarctica. Location : 62°11.4580'S, 57°18.9067'E Water Depth : 1420m Core Length : 1.37m
This dataset consists of high-precision GNSS observation data collected from January to May 2025 at King Sejong Station, King George Island, Antarctica. The data can be used for monitoring crustal movements, surface stability, and glacial displacement in polar geophysical research.
This dataset presents a new catalogue of active subglacial lakes beneath Thwaites Glacier, West Antarctica, identified using CryoSat-2 satellite radar altimetry. It details the boundaries, areas, and elevation changes of each lake, complete with 95% confidence intervals. The dataset also contains estimates of ice speed changes in the TG's grounding zone. For citation purposes, refer to the article by B-H Kim, C-K Lee*, K-W Seo, W S Lee, and J-W Park, 'New Catalogue of Thwaites Glacier Subglacial Lakes and Their Activity Revealed by CryoSat-2 Altimetry,' currently under revision for the Journal of Geophysical Research: Earth Surface. For more information, Dr. Choon-Ki Lee can be contacted at cklee@kopri.re.kr.
This dataset provides the onset dates of major Northern Hemisphere Sudden Stratospheric Warming (SSW) events, objectively classified into three types: Displacement–Displacement (DD), Displacement–Split (DS), and Split–Split (SS). The classification follows the wave–amplitude–based methodology introduced by Choi et al. (2019), which uses geopotential height at 10 hPa averaged over 55–65°N to determine the dominant planetary–wave structure associated with each event. For each SSW event, the central date is converted to a standard calendar date (Year–Month–Day) and Day of Year (DOY). The NASA MERRA reanalysis is used to identify and classify SSW events for the period 1979–2014. This dataset can be used for studies of stratosphere–troposphere coupling, polar vortex variability, wintertime climate dynamics, and climate-model evaluation. The dataset is associated with the study published in Choi et al. (2019), DOI: 10.1175/JCLI-D-18-0223.1.
King Sejong Station more infomation
Barton Peninsula, King George Island, AntarcticaJang Bogo Station more infomation
Terra Nova Bay, Northern Victoria Land, AntarcticaDasan Station more infomation
NyÅlesund, Norway, Europelast 5 years data
Since 2010
last 5 years data
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