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Dataset: Seaglider observations at Station ALOHA in the North Pacific Subtropical Gyre

Preliminary and in progressVersion 1 (2024-05-25)Dataset Type:Other Field Results

Sara Ferrón (Principal Investigator)

David M. Karl (Principal Investigator)

Benedetto Barone (Co-Principal Investigator)

Catherine Garcia (Scientist)

Steve Poulos (Technician)

Lynne M. Merchant (BCO-DMO Data Manager)

Project: Oligotrophic ocean metabolism from underwater glider observations (Glider Ocean Metabolism)

Abstract

This dataset includes over 20,000 depth profiles collected with underwater gliders in a total of 18 missions between 2008 and 2023. The glider missions were centered at the long-term sampling site of the Hawaii Ocean Time-series (HOT) program, Station ALOHA (22°45′N, 158°W), within the North Pacific Subtropical Gyre. The gliders were equipped with sensors to measure temperature, salinity, pressure, dissolved oxygen concentration, chlorophyll a concentration from fluorescence (excitation/emission...

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Vertically resolved data were collected by underwater Seagliders, which are guided autonomous underwater vehicles developed at the University of Washington’s Applied Physics lab (Eriksen et al., 2001). The Seagliders were piloted either in a circular or 'bowtie' pattern for several months in each mission around Station ALOHA.

Related Datasets

IsRelatedTo
Garcia, C., Barone, B., Ferrón, S., Poulos, S., &amp; Karl, D. (2023). <i>Multiple years of Seaglider observations of hydrography, dissolved oxygen, chlorophyll a, and optical backscatter at Station ALOHA</i> (Version v1.2) [Data set]. Zenodo. https://doi.org/10.5281/ZENODO.10247018
[view at external website]

Related Publications

Methods
Barone, B., Nicholson, D., Ferrón, S., Firing, E., &amp; Karl, D. (2019). The estimation of gross oxygen production and community respiration from autonomous time‐series measurements in the oligotrophic ocean. Limnology and Oceanography: Methods, 17(12), 650–664. Portico. https://doi.org/10.1002/lom3.10340
Methods
Bittig, H. C., Körtzinger, A., Neill, C., van Ooijen, E., Plant, J. N., Hahn, J., Johnson, K. S., Yang, B., &amp; Emerson, S. R. (2018). Oxygen Optode Sensors: Principle, Characterization, Calibration, and Application in the Ocean. Frontiers in Marine Science, 4. https://doi.org/10.3389/fmars.2017.00429
Methods
Briggs, N., Perry, M. J., Cetinić, I., Lee, C., D’Asaro, E., Gray, A. M., &amp; Rehm, E. (2011). High-resolution observations of aggregate flux during a sub-polar North Atlantic spring bloom. Deep Sea Research Part I: Oceanographic Research Papers, 58(10), 1031–1039. doi:10.1016/j.dsr.2011.07.007
Methods
Eriksen, C. C., Osse, T. J., Light, R. D., Wen, T., Lehman, T. W., Sabin, P. L., Ballard, J. W., &amp; Chiodi, A. M. (2001). Seaglider: a long-range autonomous underwater vehicle for oceanographic research. IEEE Journal of Oceanic Engineering, 26(4), 424–436. https://doi.org/10.1109/48.972073
Results
Garcia, C., Barone, B., Ferrón, S., &amp; Karl, D. (2023). Assessing Changes in Marine Biogeochemical Processes Leading to Carbon Dioxide Removal with Autonomous Underwater Vehicles. Oceanography. https://doi.org/10.5670/oceanog.2023.s1.3

Karl, D. M., Ferrón, S., Barone, B., Garcia, C. (2024) Seaglider observations at Station ALOHA in the North Pacific Subtropical Gyre. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-05-25 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/928732 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.

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Funded by the U.S. National Science Foundation