遇见数据集

Raw data from SeaExplorer SEA070 in the Amundsen Sea, 2022, as part of the TARSAN and ARTEMIS deployments on cruise NBP2202.

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Zenodo2026-03-26 更新2026-05-26 收录
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This dataset contains raw Level-0 glider observations from SeaExplorer SEA070 (“Scratch”) collected in the Amundsen Sea during the NBP2202 expedition in early 2022. It forms part of the TARSAN and ARTEMIS efforts associated with the International Thwaites Glacier Collaboration. TARSAN focused on how atmosphere–ice–ocean interactions influence the Thwaites and Dotson ice shelves, using gliders, ship surveys, AUVs, moorings, and CTDs to characterize ocean conditions on the continental shelf and beneath ice shelves. ARTEMIS complemented that work by adding biogeochemical observations, especially from autonomous platforms, to investigate how West Antarctic Ice Sheet melt affects ecosystem structure and regional carbon cycling. SEA070 data is provided in raw csv format as a timeseries-style, spanning about mid-January to mid-February 2022 in the eastern Amundsen Sea near 72.2–72.4°S, 117.9–117.3°W. The dataset includes core hydrography from an RBR Legato CTD (temperature, conductivity, salinity, pressure), dissolved oxygen from an RBR Coda sensor, nitrate from a Sea-Bird Deep SUNA, and optical measurements from a WET Labs ECO Puck FLBBCD (chlorophyll, CDOM, backscatter). All data is uncalibrated. Note that there was a severe CTD electrical noise issue affecting conductivity, absolute values are OK but the data is incredibly noisy. Processed data set is accessed here: https://doi.org/10.5281/zenodo.19219996

本数据集包含2022年初于阿蒙森海开展的NBP2202航次中采集的SeaExplorer SEA070型海洋滑翔机(昵称“Scratch”)的0级原始观测数据。本数据集隶属于国际思韦茨冰川合作计划(International Thwaites Glacier Collaboration)下的TARSAN与ARTEMIS研究项目。 TARSAN项目聚焦于大气-海冰-海洋相互作用对思韦茨冰架与多森冰架的影响,通过海洋滑翔机、船舶调查、自主水下航行器(AUV)、锚系设备与温盐深剖面仪(CTD),对大陆架及冰架下方的海洋环境进行特征刻画。ARTEMIS项目则通过补充生物地球化学观测(尤其依托自主观测平台),拓展了前述研究,以探究西南极冰盖消融如何影响生态系统结构与区域碳循环。 SEA070滑翔机数据以原始逗号分隔值(CSV)时序格式提供,采集时段为2022年1月中旬至2月中旬,覆盖阿蒙森海东部海域,坐标范围为南纬72.2°至72.4°、西经117.9°至117.3°。本数据集包含由RBR Legato型温盐深剖面仪(CTD)采集的核心水文数据(温度、电导率、盐度、压力)、RBR Coda型传感器测得的溶解氧数据、Sea-Bird Deep SUNA型传感器获取的硝酸盐数据,以及WET Labs ECO Puck FLBBCD型传感器的光学测量数据(叶绿素、有色溶解有机物(CDOM)、后向散射系数)。所有数据均未经过校准。 请注意:该数据集存在严重的CTD电噪声问题,仅电导率数据受影响,其绝对值仍有效,但数据噪声极强。 已处理的数据集可通过以下链接获取:https://doi.org/10.5281/zenodo.19219996

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Zenodo
创建时间:
2026-03-26
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