Dataset: Depth profiles from Seagliders 146, 147, 148, 511, 512, and 626 in a total of 18 missions at Station ALOHA in the North Pacific Subtropical Gyre from 2008-2023

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.928732.1Version 1 (2025-01-03)Dataset Type:Other Field Results

Principal Investigator: Sara Ferrón (University of Hawaiʻi at Mānoa)

Principal Investigator: David M. Karl (University of Hawaiʻi at Mānoa)

Co-Principal Investigator: Benedetto Barone (University of Hawaiʻi at Mānoa)

Scientist: Catherine Garcia (University of Hawaiʻi at Mānoa)

Technician: Steve Poulos (University of Hawaiʻi at Mānoa)

BCO-DMO Data Manager: Lynne M. Merchant (Woods Hole Oceanographic Institution)


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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This BCO-DMO dataset page contains supporting metadata and CSV formatted datasets for seaglider deployments from 2008 to 2023. Additional NetCDF formatted datasets, containing parameters in the CSV formatted datasets along with raw data and QC values, for seaglider deployments from 2008 to 2023 are available at Zenodo, DOI: 10.5281/zenodo.10416616. See the “Related Datasets” section.

All the seaglider deployments dataset files have the same parameters which are defined on this dataset page. Individual seaglider deployments did not measure all of the parameters, though, e.g. either bbp650 or bbp660, and in that case, values are left blank for unmeasured parameters. 

Parameters in common with the NetCDF formatted datasets and the CSV formatted datasets are: ISO_DateTime_UTC, lat, lon, depth, divenum, direction, temp, cond, salin, sigma, oxygen, chla, bbp470, bbp470_spikeflag, bbp650, bbp650_spikeflag, bbp660, bbp660_spikeflag, bbp700, and bbp700_spikeflag.

Parameters specific to the CSV formatted datasets are: seaglider_deployment, seaglider_platform, and seaglider_mission.

Additional parameters included in the NetCDF files are pressure, pitch, raw data, chla_spikeflag, and QC flags: press, pitch, oxygen_raw,  chla_raw, chla_spikeflag, bbp470_raw, bbp650_raw, bbp660_raw, bbp700_raw, temp_qcflag, cond_qcflag, salin_qcflag, sigma_qcflag, oxygen_qcflag, chla_qcflag, bbp470_qcflag, bbp650_qcflag, bbp660_qcflag, and bbp700_qcflag

The supplemental file seaglider_deployments_metadata.csv contains the locations and dates of each seaglider deployment and recovery via ships and small boats along with the locations and dates of data collection for each seaglider deployment. Additional metadata columns with flags of True or False were included to indicate if the following parameters are measured in an individual deployment dataset: oxygen, bbp650, bbp660, and bbp700. These flag columns were added because deployments either measured bbp650 or bbp660, and oxygen and bbp700 are not always measured during a deployment.  All the seaglider deployments dataset files have the same parameters to enable datasets to be more easily queried and combined programmatically.


Related Datasets

IsRelatedTo

Dataset: https://doi.org/10.5281/zenodo.14680626
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 v1.3) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14680626

Related Publications

Results

Garcia, C., Barone, B., Ferrón, S., & 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
Methods

Barone, B., Nicholson, D., Ferrón, S., Firing, E., & 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., & 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., & 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., & 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