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  • 1
    Publication Date: 2024-05-14
    Description: During Polarstern expedition PS131 (ATWAICE: ATlantic WAter pathways to the ICE), a large number of autonomous instruments were installed on three representative ice floes across the marginal ice zone northwest of Svalbard in July 2022. The aim was to investigate sea ice summer melt processes, with a focus on the contribution of the Atlantic water inflow into the region. The attached .zip file includes raw data files obtained from all instruments deployed on the northernmost floe, also referred to as Floe North. Depending on the instrument, the data were transmitted via satellite, collected on internal memory, or both. The instruments were installed on Floe North on 13 July 2022, revisited for maintenance on 20 July 2022, and partially recovered on 30 July 2022. The sensors included 3 ADCPs in different configurations to measure ocean currents, a CTD buoy (SIT) with 6 SBE37IMP and an ECO Triplet fluorometer, a HOBO under-ice conductivity chain, 3 ice mass balance buoys (IMBs) of different types to determine ice surface and bottom melt, a radiation station equipped with 3 TriOS RAMSES radiometers to measure albedo and the under-ice light field, a Campbell Scientific weather station for atmospheric conditions, an OpenMetBuoy (OMB) and IMU logger for wave detection, a handful of GPS drifters to mark instruments, and 4 timelapse cameras to document surface changes. All instruments performed as expected, except one S1000 ADCP that failed due to power issues. All but three instruments (one OpenMetBuoy, one SVP, and one IMB) were recovered before leaving the study area on 30 July. The processed data will be provided and linked to when available.
    Keywords: Arctic; Arctic Ocean; Atlantic Water; ATWAICE; AWI_PhyOce; AWI_SeaIce; Binary Object; Binary Object (File Size); buoys; File content; ICE; Ice station; marginal ice zone; Observatory; Physical Oceanography @ AWI; Polarstern; PS131; PS131_47-1; PS131_67-1; PS131_89-1; sea ice melt; Sea Ice Physics @ AWI; summer
    Type: Dataset
    Format: text/tab-separated-values, 4 data points
    Location Call Number Expected Availability
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