Annual hydrographic variability in Antarctic coastal waters infused with glacial inflow

• Published in: Earth System Science Data
• Main Authors: Osińska, Maria, Wójcik-Długoborska, Kornelia A., Bialik, Robert J.
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2023
• Subjects: article; Verlagsveröffentlichung; Admiralty Bay; Antarctic; Ezcurra; Ezcurra Inlet; King George Island; Antarc*; Antarctica
• Online Access: https://doi.org/10.5194/essd-15-607-2023; https://noa.gwlb.de/receive/cop_mods_00064868; https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00063547/essd-15-607-2023.pdf; https://essd.copernicus.org/articles/15/607/2023/essd-15-607-2023.pdf

During the 38 months between December 2018 and January 2022, multiparameter hydrographic measurements were taken at 31 sites within Admiralty Bay, King George Island, Antarctica. These records consisted of water column measurements (down to 100 m) of temperature, conductivity, turbidity, and pH as well as the dissolved oxygen, dissolved organic matter, chlorophyll-a and phycoerythrin contents. The sites were chosen due to their variable distances from glacial fronts and open ocean waters. Fifteen sites were localized within smaller glacial coves, with waters highly impacted by glacial infusions; seven sites were located in the open waters of the main body of Admiralty Bay; and nine sites were located in the intermediate conditions of the Ezcurra Inlet. The final dataset consists of measurements carried out over 142 separate days, with an average of 3.74 measurements per month. However, data were not collected regularly throughout the year and were collected less frequently during winter, although data were gathered for all but 2 winter months. On average, each site was investigated 98.2 times. Due to calibration issues, absolute values of optically measured properties occasionally show unrealistic negative values, but the relative distributions of these values remain valid. Variabilities in the measured properties each season and throughout the whole duration of the project reveal regular oscillations as well as possible long-term trends. The described dataset is freely available at PANGAEA: https://doi.org/10.1594/PANGAEA.947909 (Osińska et al., 2022).