http://lod.bco-dmo.org/id/dataset/998900
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
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2026-05-19
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Time series of bio-optically determined large particles observed by the wire-following profiler at the Ocean Observatories Initiative’s Irminger Sea Array from 2014 to 2022
2026-05-19
publication
2026-05-19
revision
BCO-DMO Linked Data URI
2026-05-19
creation
http://lod.bco-dmo.org/id/dataset/998900
Hilary I. Palevsky
Boston College
principalInvestigator
Kristen E. Fogaren
Boston College
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Fogaren, K. E., Palevsky, H. I., Cuevas, J. (2026) Time series of bio-optically determined large particles observed by the wire-following profiler at the Ocean Observatories Initiative’s Irminger Sea Array from 2014 to 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-05-19 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/998900 [access date]
Large particles - Irminger Sea Dataset Description: Methods and Sampling: <p>The data presented here were collected by the Ocean Observatories Initiative at their Irminger Sea Array. Backscatter measurements are from the wire following profiler (WFP, DOI:<u> 10.58046/OOI-GI02HYPM</u>). The WFP (~170-2600 m) collects a profile every 20 hours with a vertical sampling resolution of 2.3 ± 0.15 dbar.&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2338450 Award URL: https://www.nsf.gov/awardsearch/show-award/?AWD_ID=2338450
onGoing
Hilary I. Palevsky
Boston College
617-552-4936
Boston College Dept of Earth and Environmental Sciences 140 Commonwealth Ave
Chestnut Hill
MA
02467
USA
palevsky@bc.edu
pointOfContact
Kristen E. Fogaren
Boston College
Boston College Department of Earth and Environmental Sciences
fogaren@bc.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
CAREER: Constraining the high-latitude ocean carbon cycle: Leveraging the Ocean Observatories Initiative (OOI) Global Arrays as marine biogeochemical time series
https://osprey.bco-dmo.org/project/993939
CAREER: Constraining the high-latitude ocean carbon cycle: Leveraging the Ocean Observatories Initiative (OOI) Global Arrays as marine biogeochemical time series
<p><em><strong>NSF Award Abstract:</strong></em><br />
The ocean absorbs a large fraction of the atmospheric carbon dioxide generated by the burning of fossil fuels. Much of this uptake occurs in high latitude (polar) regions of the ocean. However, current monitoring capabilities in the polar ocean are limited. The Ocean Observatories Initiative (OOI) aims to address this need by providing 25 years of continuous physical and biogeochemical sensor data from autonomous platforms in the high latitude ocean. This CAREER project will improve understanding of the marine carbon cycle in the high latitude ocean using OOI data. The science team will use biogeochemical data collected by the OOI sensors to monitor long term changes in carbon cycling processes. In addition, this CAREER project includes educational activities to broaden participation in oceanographic research. The lead scientist will develop a new research seminar course to provide training and research opportunities for undergraduate students. A series of educational videos will be created to showcase the use and application of OOI data. The videos will be used in college level courses at three universities. This project will provide training opportunities for eight undergraduate students, two doctoral students, and one postdoctoral researcher.</p>
<p>This CAREER project will utilize marine biogeochemical time series data from Ocean Observatories Initiative (OOI) locations in the subpolar North Atlantic and subarctic Northeast Pacific to evaluate the relative roles of biological, chemical, and physical processes driving the ocean’s carbon sink. The project seeks to improve the usability of OOI biogeochemical (BGC) sensor data and leverage these marine BGC time series data to determine changes in carbon cycling processes in the subpolar North Atlantic and subarctic Northeast Pacific Oceans. This research is key for predicting long term perturbations due to climate change and for understanding how changes in carbon cycling in these regions will influence carbon sequestration. The objectives of this project are to: 1) quantify the rates and drivers of carbon cycling and long-term carbon sequestration in the subpolar North Atlantic and subarctic Northeast Pacific Oceans and 2) determine the mechanistic controls on the ocean carbon sink due to inter-related biological, chemical, and physical processes over >10 years at each array site. The high temporal resolution BGC data collected by the arrays will improve understanding of the sampling resolution needed to capture key carbon cycling processes and test the hypothesis that short-time scale events during spring phytoplankton blooms and strong winter storms play a significant role in the overall annual carbon cycle. Education activities associated with this CAREER project include a series of educational videos about OOI and use of the data it provides that will be incorporated into undergraduate courses, a new research seminar course for undergraduates, and research opportunities for undergraduate and graduate students as well as a postdoctoral researcher.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
OOI Global BGC time series
largerWorkCitation
project
eng; USA
oceans
2026-05-19
0
BCO-DMO catalogue of parameters from Time series of bio-optically determined large particles observed by the wire-following profiler at the Ocean Observatories Initiative’s Irminger Sea Array from 2014 to 2022
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
https://osprey.bco-dmo.org/dataset/998900/data/download
download
onLine
dataset
<p>The data presented here were collected by the Ocean Observatories Initiative at their Irminger Sea Array. Backscatter measurements are from the wire following profiler (WFP, DOI:<u> 10.58046/OOI-GI02HYPM</u>). The WFP (~170-2600 m) collects a profile every 20 hours with a vertical sampling resolution of 2.3 ± 0.15 dbar.&nbsp;</p>
Specified by the Principal Investigator(s)
<p>We calculate particulate backscatter (b<sub>bp</sub>) from optical backscatter data collected with a dual-channel Sea Bird ECO sensor as&nbsp;&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; b<sub>bp </sub>= 2πχ(β - β<sub>sw</sub> ) &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Equation 1</p>
<p>&nbsp;</p>
<p>where β is the volume scattering function [m<sup>-1</sup> sr<sup>-1</sup>], β<sub>sw</sub> is the volume scattering function of seawater [m<sup>-1</sup> sr<sup>-1</sup>], and χ is a scaling factor that depends on the configuration of the instrument. β<sub>sw</sub> is calculated according to Zhang et al. (2009) using instrument configuration values of 700 nm and a water centroid angle (theta) of 142°, along with co-located temperature and salinity values and a default delta value of 0.039. In these calculations, we used the χ value of 1.097 and theta value of 142° that are reported in SBE “Application Note 114,” (2024).&nbsp;</p>
<p>&nbsp;&nbsp;&nbsp;</p>
<p>We attribute “spikes” in b<sub>bp</sub> profiles to large particles. To isolate large particles from b<sub>bp</sub>, we determined the signal due to small and refractory particles for each profile using an 11-point running minimum filtered followed by an 11-point maximum filter of b<sub>bp</sub> after Briggs et al. (2020). The large particle signal (b<sub>bl</sub>) of the b<sub>bp</sub> signal is then determined as&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; b<sub>bl </sub>= &nbsp;b<sub>bp </sub>- (b<sub>bs </sub>+ b<sub>br</sub> ) &nbsp; &nbsp; &nbsp; &nbsp; Equation 2</p>
<p>&nbsp;</p>
<p>where b<sub>bs</sub> and b<sub>br</sub> are the small and refractory components of the b<sub>bp</sub> signal, respectively. The removal of the small and refractory particle signal for each profile also removes the blank and any drift in the blank over the deployment of the sensor making sensors from different deployments interoperable. After isolating b<sub>bl</sub>, we binned data from each profile by 50-m intervals from 200 to 2000 m and calculated the mean, median, max, standard deviation, and 95 percentile of the large particle signal. Profiles without at least 10 data points in every bin were removed. Data deeper than 2000 m were not analyzed because of an increase in small and refractory particles that may be attributed to suspended sediment in the region (N. Briggs et al., 2011).&nbsp;&nbsp;</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact