Garcia Catherine A, Barone Benedetto, Ferrón Sara, Poulos Steve, Karl David M
Daniel K. Inouye Center for Microbial Oceanography: Research and Education (C-MORE), Honolulu, Hawaii, USA.
Department of Oceanography, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.
Sci Data. 2025 Apr 16;12(1):641. doi: 10.1038/s41597-025-04622-8.
We present a large, quality-controlled dataset consisting of autonomous underwater measurements of hydrographical (temperature, salinity, and pressure), chemical (dissolved oxygen concentration), and bio-optical (chlorophyll a concentration and particulate backscatter) properties. Data were collected using underwater gliders on 18 missions in the North Pacific Subtropical Gyre between 2008 and 2023 (>20,000 vertical profiles). Each mission was centered near the long-term sampling site of the Hawaii Ocean Time-series program, Station ALOHA (A Long-term Oligotrophic Habitat Assessment). Measurements were quality controlled and calibrated to provide a robust dataset, inter-comparable among missions. We compare depth-resolved seasonality of Seaglider observations to previously described seasonal climatologies at Station ALOHA from ship-based observations. Results show that underwater gliders can accurately characterize ocean physical and biogeochemical conditions, reconstruct seasonality, and observe spatial variability and stochastic events in the absence of extensive ship operations. Further, these data allow us to study the variability of features, such as the chlorophyll and oxygen subsurface maxima with a temporal resolution of a few hours during multiple months.
我们展示了一个经过质量控制的大型数据集，该数据集包含对水文（温度、盐度和压力）、化学（溶解氧浓度）和生物光学（叶绿素a浓度和颗粒后向散射）特性的自主水下测量数据。这些数据是在2008年至2023年期间，使用水下滑翔器在北太平洋亚热带环流的18次任务中收集的（>20,000个垂直剖面）。每次任务都以夏威夷海洋时间序列计划的长期采样点——ALOHA站（长期贫营养栖息地评估站）为中心。测量数据经过质量控制和校准，以提供一个可靠的数据集，各任务之间具有可比性。我们将水下滑翔器观测的深度分辨季节性与之前基于船基观测在ALOHA站描述的季节性气候学进行了比较。结果表明，在没有广泛船舶作业的情况下，水下滑翔器能够准确地表征海洋物理和生物地球化学条件，重建季节性，并观测空间变异性和随机事件。此外，这些数据使我们能够在多个月内以几小时的时间分辨率研究叶绿素和次表层氧最大值等特征的变异性。
