http://lod.bco-dmo.org/id/dataset/987524
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.
pointOfContact
2025-10-17
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Underway net community production from the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the Pacific and Southern Oceans from November 2022 to January 2023
2025-10-21
publication
2025-10-21
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-10-23
publication
https://doi.org/10.26008/1912/bco-dmo.987524.1
Yang Xiang
University of Washington
principalInvestigator
Andrea J. Fassbender
National Oceanic and Atmospheric Administration
principalInvestigator
Paul Quay
University of Washington
principalInvestigator
Rolf Sonnerup
University of Washington
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: Xiang, Y., Quay, P., Fassbender, A. J., Sonnerup, R. (2025) Underway net community production from the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the Pacific and Southern Oceans from November 2022 to January 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-10-21 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.987524.1 [access date]
GP17-OCE Underway Net Community Production Dataset Description: Methods and Sampling: <p>Underway dissolved oxygen (O<sub>2</sub>) data were collected using the SBE 43 (Clark-type electrode) oxygen sensor in the hydrolab on R/V Roger Revelle. Underway temperature and salinity data were obtained from the thermosalinograph sensor mounted at the bow intake. We assume that the underway seawater intake was at around 5 decibars (db). All underway sensor data were calibrated with discrete surface samples collected within ±30 minutes in the upper 20 db during CTD stations. The median of calibrated underway data every hour was used to estimate different terms in the O<sub>2</sub> budget. The O<sub>2</sub> saturation concentration was corrected for the effect of water vapor, sea level pressure, and relative humidity (Garcia and Gordon, 1992; Dickson et al., 2007), using shipboard meteorological data collected alongside underway data.</p>
<p>To fully construct the O<sub>2</sub> budget, we combined in situ underway surface O<sub>2</sub> data with global data products of O<sub>2</sub> depth distribution and satellite data. Monthly O<sub>2</sub> data from the GOBAI-O<sub>2</sub> (Sharp et al., 2023) were interpolated temporally and spatially to the cruise track and used north of 64.5°S, while WOA23 monthly climatology (Garcia et al., 2024a) was employed south of 64.5°S. Net community production (NCP) was estimated as the residual term in the O<sub>2</sub> budget after accounting for the time rate of O<sub>2</sub> change and physical O<sub>2</sub> fluxes (Eq. 1; Emerson et al., 2008; Quay et al., 2020; Palevsky et al., 2016; Quay and Stephens, 2025). The air-sea O<sub>2</sub> gas exchange flux was calculated as the sum of diffusive and bubble O<sub>2</sub> fluxes (Emerson et al., 2019) and estimated using the <em>gas_toolbox</em> in MATLAB (Manning and Nicholson, 2022). Final O<sub>2</sub> flux and NCP values along the cruise track were presented as daily (24-hour) means with standard deviations derived from a Monte Carlo simulation.</p>
<p>Additional datasets used in this work include monthly satellite surface chlorophyll-a concentrations (Aqua-MODIS 4 km data product) and net primary production (Vertically Generalized Production Model and Carbon-Based Production Model algorithms), and surface phosphate and silicate concentrations derived from the WOA23 monthly climatology (Garcia et al., 2024b). All of these data were interpolated temporally and spatially to the cruise track using the MATLAB function <em>interpn</em>.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2048523 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2048523
completed
Yang Xiang
University of Washington
831-212-5119
LA
USA
yxiang@lsu.edu
pointOfContact
Andrea J. Fassbender
National Oceanic and Atmospheric Administration
509-438-4961
7600 Sand Point Way N.E.
Seattle
WA
98115
USA
andrea.j.fassbender@noaa.gov
pointOfContact
Paul Quay
University of Washington
206-685-8061
University of Washington School of Oceanography MS 355351
Seattle
WA
98195-7940
USA
pdquay@uw.edu
pointOfContact
Rolf Sonnerup
University of Washington
206-543-4024
3737 Brooklyn Ave NE
Seattle
WA
98105
USA
rolf@uw.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Date_1day
Latitude_1day
Latitude_std_1day
Longitude_1day
Longitude_std_1day
Station_1day
Temperature_1day
Temperature_std_1day
Salinity_1day
Salinity_std_1day
O2_1day
O2_std_1day
O2_saturation_1day
O2_saturation_std_1day
O2_saturation_anomaly_1day
O2_saturation_anomaly_std_1day
Phosphate_1day
Phosphate_std_1day
Silicate_1day
Silicate_std_1day
Chla_1day
Chla_std_1day
NPP_VGPM_1day
NPP_VGPM_std_1day
NPP_CBPM_1day
NPP_CBPM_std_1day
FA_W_1day
FA_W_std_1day
Fkz_1day
Fkz_std_1day
Fw_1day
Fw_std_1day
Fh_1day
Fh_std_1day
Ftime_1day
Ftime_std_1day
FNCP_MC_1day
FNCP_MC_std_1day
Seabird SBE 43 dissolved oxygen sensor
Seabird SBE 45 thermosalinograph sensor
theme
None, User defined
ISO_DateTime_UTC
latitude
longitude
station
water temperature at measurement depth
salinity
dissolved Oxygen
O2 saturation
phosphate
Silicate, Si(OH)4, silicic acid
chlorophyll a
primary production
flux
featureType
BCO-DMO Standard Parameters
Sea-Bird SBE 43 Dissolved Oxygen Sensor
Sea-Bird SBE 45 MicroTSG Thermosalinograph
instrument
BCO-DMO Standard Instruments
RR2214
service
Deployment Activity
Papeete, Tahiti to Punta Arenas, Chile
place
Locations
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.
U.S. GEOTRACES
http://www.geotraces.org/
U.S. GEOTRACES
GEOTRACES is a SCOR sponsored program; and funding for program infrastructure development is provided by the U.S. National Science Foundation.
GEOTRACES gained momentum following a special symposium, S02: Biogeochemical cycling of trace elements and isotopes in the ocean and applications to constrain contemporary marine processes (GEOSECS II), at a 2003 Goldschmidt meeting convened in Japan. The GEOSECS II acronym referred to the Geochemical Ocean Section Studies To determine full water column distributions of selected trace elements and isotopes, including their concentration, chemical speciation, and physical form, along a sufficient number of sections in each ocean basin to establish the principal relationships between these distributions and with more traditional hydrographic parameters;
* To evaluate the sources, sinks, and internal cycling of these species and thereby characterize more completely the physical, chemical and biological processes regulating their distributions, and the sensitivity of these processes to global change; and
* To understand the processes that control the concentrations of geochemical species used for proxies of the past environment, both in the water column and in the substrates that reflect the water column.
GEOTRACES will be global in scope, consisting of ocean sections complemented by regional process studies. Sections and process studies will combine fieldwork, laboratory experiments and modelling. Beyond realizing the scientific objectives identified above, a natural outcome of this work will be to build a community of marine scientists who understand the processes regulating trace element cycles sufficiently well to exploit this knowledge reliably in future interdisciplinary studies.
Expand "Projects" below for information about and data resulting from individual US GEOTRACES research projects.
U.S. GEOTRACES
largerWorkCitation
program
US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)
http://www.geotraces.org/
US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)
<p>The U.S. GEOTRACES GP17-OCE expedition departed Papeete, Tahiti (French Polynesia) on December 1st, 2022 and arrived in Punta Arenas, Chile on January 25th, 2023. The cruise took place in the South Pacific and Southern Oceans aboard the R/V Roger Revelle (cruise ID RR2214) with a team of 34 scientists lead by Ben Twining (Chief Scientist), Jessica Fitzsimmons and Greg Cutter (Co-Chief Scientists). GP17 was planned as a two-leg expedition, with its first leg (GP17-OCE) as a southward extension of the 2018 GP15 Alaska-Tahiti expedition and a second leg (GP17-ANT; December 2023-January 2024) into coastal and shelf waters of Antarctica's Amundsen Sea.</p>
<p>The South Pacific and Southern Oceans sampled by GP17-OCE play critical roles in global water mass circulation and associated global transfer of heat, carbon, and nutrients. Specific oceanographic regions of interest for GP17-OCE included: the most oligotrophic gyre in the global ocean, the Antarctic Circumpolar Current (ACC) frontal region, the previously unexplored Pacific- Antarctic Ridge, the Pacific Deep Water (PDW) flow along the continental slope of South America, and the continental margin inputs potentially emanating from South America.</p>
<p>Further information is available on the <a href="https://usgeotraces.ldeo.columbia.edu/content/gp17-oce" target="_blank">US GEOTRACES website</a> and in the <a href="https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/rogerrevelle_rr2214.pdf" target="_blank">cruise report</a> (PDF).</p>
<p><em>NSF Project Title:</em> Collaborative Research: Management and Implementation of US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)</p>
<p><em>NSF Award Abstract:</em><br />
This award will support the management and implementation of a research expedition from Tahiti to Chile that will enable sampling for a broad suite of trace elements and isotopes (TEI) across oceanographic regions of importance to global nutrient and carbon cycling as part of the U.S. GEOTRACES program. GEOTRACES is a global effort in the field of Chemical Oceanography, the goal of which is to understand the distributions of trace elements and their isotopes in the ocean. Determining the distributions of these elements and isotopes will increase understanding of processes that shape their distributions, such as ocean currents and material fluxes, and also the processes that depend on these elements, such as the growth of phytoplankton and the support of ocean ecosystems. The proposed cruise will cross the South Pacific Gyre, the Antarctic Circumpolar Current, iron-limited Antarctic waters, and the Chilean margin. In combination with a proposed companion GEOTRACES expedition on a research icebreaker (GP17-ANT) that will be joined by two overlapping stations, the team of investigators will create an ocean section from the ocean's most nutrient-poor waters to its highly-productive Antarctic polar region - a region that plays an outsized role in modulating the global carbon cycle. The expedition will support and provide management infrastructure for additional participating science projects focused on measuring specific external fluxes and internal cycling of TEIs along this section.</p>
<p>The South Pacific Gyre and Pacific sector of the Southern Ocean play critical roles in global water mass circulation and associated global transfer of heat, carbon, and nutrients, but they are chronically understudied for TEIs due to their remote locale. These are regions of strong, dynamic fronts where sub-surface water masses upwell and subduct, and biological and chemical processes in these zones determine nutrient stoichiometries and tracer concentrations in waters exported to lower latitudes. The Pacific sector represents an end member of extremely low external TEI surface fluxes and thus an important region to constrain inputs from the rapidly-changing Antarctic continent. Compared to other ocean basins, TEI cycling in these regions is thought to be dominated by internal cycling processes such as biological uptake, regeneration, and scavenging, and these are poorly represented in global ocean models. The cruise will enable funded investigators to address research questions such as: 1) what are relative rates of external TEI fluxes to this region, including dust, sediment, hydrothermal, and cryospheric fluxes? 2) What are the (micro) nutrient regimes that support productivity, and what impacts do biomass accumulation, export, and regeneration have on TEI cycling and stoichiometries of exported material? 3) What are TEI and nutrient stoichiometries of subducting water masses, and how do scavenging and regeneration impact these during transport northward? This management project has several objectives: 1) plan and coordinate a 55-day research cruise in 2021-2022; 2) use both conventional and trace-metal 'clean' sampling systems to obtain TEI samples, as well as facilitate sampling for atmospheric aerosols and large volume particles and radionuclides; 3) acquire hydrographic data and samples for salinity, dissolved oxygen, algal pigments, and macro-nutrients; and deliver these data to relevant repositories; 4) ensure that proper QA/QC protocols, as well as GEOTRACES intercalibration protocols, are followed and reported; 5) prepare the final cruise report to be posted with data; 6) coordinate between all funded cruise investigators, as well as with leaders of proposed GP17-ANT cruise; and 7) conduct broader impact efforts that will engage the public in oceanographic research using immersive technology. The motivations for and at-sea challenges of this work will be communicated to the general public through creation of immersive 360/Virtual Reality experiences, via a collaboration with the Texas A&M University Visualization LIVE Lab. Through Virtual Reality, users will experience firsthand what life and TEI data collection at sea entail. Virtual reality/digital games and 360° experiences will be distributed through GEOTRACES outreach websites, through PI engagement with local schools, libraries, STEM summer camps, and adult service organizations, and through a collaboration with the National Academy of Sciences.</p>
GP17-OCE
largerWorkCitation
project
US GEOTRACES OCE: Measuring the distribution of stable carbon isotopes and estimating organic matter export rates
https://osprey.bco-dmo.org/project/987217
US GEOTRACES OCE: Measuring the distribution of stable carbon isotopes and estimating organic matter export rates
<p><em>NSF Award Abstract:</em><br />
The goal of this project is to measure the concentration of the rare isotope of carbon (13C) present in the carbon dioxide (CO2) molecules dissolved in seawater of the South Pacific Ocean. 13C atoms make up only 1% of the carbon atoms on earth whereas atoms with the common carbon isotope (12C) make up 99% of the carbon atoms. Variations in the concentration of 13C atoms are represented relative to the concentration of 12C atoms and expressed as the 13C/12C ratio. The utility of measuring spatial variations in the 13C/12C of CO2 in the ocean results from two observations. First, during photosynthesis the 13C/12C of the plant (phytoplankton in the ocean) is distinctly different from the 13C/12C of CO2 consumed during photosynthesis. Second, the 13C/12C of CO2 molecules produced during the combustion of fossil fuels (coal, oil, natural gas) is measurably different from the 13C/12C of CO2 in the atmosphere and ocean. As a result, measuring the spatial variations of 13C/12C of CO2 in the ocean can be used to estimate variations in the rate of photosynthesis and the rate at which CO2 produced by fossil fuel combustion is being adsorbed by the ocean. Estimating variations in these two rates are goals of this project.</p>
<p>The 13C/12C of CO2 in the ocean depends in large part on the rates of photosynthesis and respiration, which results in spatial covariations in the 13C/12C of CO2, concentrations of primary nutrients (nitrate and phosphate) and trace elements that are used by phytoplankton (e.g., Cadmium). In this project, the planned measurements of the 13C/12C of CO2, nutrients and trace elements during the GEOTRACES GP17 cruise will be used to determine how the north-south variations in biological productivity (photosynthesis and respiration), elemental composition of sinking particles and water mass mixing control the regional variations in the 13C/12C of CO2, nutrients and bioactive trace element distributions in the South Pacific Ocean. An improved understanding of the biological, chemical and physical processes that control spatial variations of 13C/12C of CO2, bioactive trace elements and nutrient distributions in the modern ocean will improve our ability to use 13C/12C and trace elements measurements on CaCO3 preserved in the sedimentary record to reconstruct past changes in the ocean circulation and CO2 cycling in the paleo ocean. The project will involve undergraduate students in the research activities and carry out public outreach through University of Washington, Program on Climate Change (PCC).</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>
GP17-OCE 13C-DIC
largerWorkCitation
project
eng; USA
oceans
Papeete, Tahiti to Punta Arenas, Chile
-152
-75.72
-67.02
27.13
2022-11-15
2023-01-23
From projects that focused on the following 2 locations: 1. Papeete, Tahiti to Punta Arenas, Chile 2. South Pacific and Southern Oceans
0
BCO-DMO catalogue of parameters from Underway net community production from the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the Pacific and Southern Oceans from November 2022 to January 2023
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
http://lod.bco-dmo.org/id/dataset-parameter/987622.rdf
Name: Date_1day
Units: unitless
Description: <p>Median UTC date of underway data within 1 day in ISO 8601 format</p>
http://lod.bco-dmo.org/id/dataset-parameter/987623.rdf
Name: Latitude_1day
Units: degrees North
Description: <p>Mean latitude of underway data within 1 day with north latitude represented by positive values</p>
http://lod.bco-dmo.org/id/dataset-parameter/987624.rdf
Name: Latitude_std_1day
Units: degrees North
Description: <p>Standard deviation of latitude of underway data within 1 day</p>
http://lod.bco-dmo.org/id/dataset-parameter/987625.rdf
Name: Longitude_1day
Units: degrees East
Description: <p>Mean longitude of underway data within 1 day with east longitude represented by positive values</p>
http://lod.bco-dmo.org/id/dataset-parameter/987626.rdf
Name: Longitude_std_1day
Units: degrees East
Description: <p>Standard deviation of longitude of underway data within 1 day</p>
http://lod.bco-dmo.org/id/dataset-parameter/987627.rdf
Name: Station_1day
Units: unitless
Description: <p>The CTD station number when the underway data were sampled at stations</p>
http://lod.bco-dmo.org/id/dataset-parameter/987628.rdf
Name: Temperature_1day
Units: degrees Celsius
Description: <p>Mean underway temperature within 1 day</p>
http://lod.bco-dmo.org/id/dataset-parameter/987629.rdf
Name: Temperature_std_1day
Units: degrees Celsius
Description: <p>Standard deviation of underway temperature within 1 day</p>
http://lod.bco-dmo.org/id/dataset-parameter/987630.rdf
Name: Salinity_1day
Units: PSU
Description: <p>Mean underway salinity within 1 day</p>
http://lod.bco-dmo.org/id/dataset-parameter/987631.rdf
Name: Salinity_std_1day
Units: PSU
Description: <p>Standard deviation of underway salinity within 1 day</p>
http://lod.bco-dmo.org/id/dataset-parameter/987632.rdf
Name: O2_1day
Units: micromoles per liter (umol L-1)
Description: <p>Mean underway O2 concentration within 1 day</p>
http://lod.bco-dmo.org/id/dataset-parameter/987633.rdf
Name: O2_std_1day
Units: micromoles per liter (umol L-1)
Description: <p>Standard deviation of underway O2 concentration within 1 day</p>
http://lod.bco-dmo.org/id/dataset-parameter/987634.rdf
Name: O2_saturation_1day
Units: micromoles per liter (umol L-1)
Description: <p>Mean underway O2 saturation concentration within 1 day</p>
http://lod.bco-dmo.org/id/dataset-parameter/987635.rdf
Name: O2_saturation_std_1day
Units: micromoles per liter (umol L-1)
Description: <p>Standard deviation of underway O2 saturation concentration within 1 day</p>
http://lod.bco-dmo.org/id/dataset-parameter/987636.rdf
Name: O2_saturation_anomaly_1day
Units: percent (%)
Description: <p>Mean underway O2 saturation anomaly within 1 day</p>
http://lod.bco-dmo.org/id/dataset-parameter/987637.rdf
Name: O2_saturation_anomaly_std_1day
Units: percent (%)
Description: <p>Standard deviation of underway O2 saturation anomaly within 1 day</p>
http://lod.bco-dmo.org/id/dataset-parameter/987638.rdf
Name: Phosphate_1day
Units: micromoles per kilogram (umol kg-1)
Description: <p>Mean surface phosphate concentration at the underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987639.rdf
Name: Phosphate_std_1day
Units: micromoles per kilogram (umol kg-1)
Description: <p>Standard deviation of surface phosphate concentration at the underway location</p>
http://lod.bco-dmo.org/id/dataset-parameter/987640.rdf
Name: Silicate_1day
Units: micromoles per kilogram (umol kg-1)
Description: <p>Mean surface silicate concentration at the underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987641.rdf
Name: Silicate_std_1day
Units: micromoles per kilogram (umol kg-1)
Description: <p>Standard deviation of surface silicate concentration at the underway location</p>
http://lod.bco-dmo.org/id/dataset-parameter/987642.rdf
Name: Chla_1day
Units: milligrams per cubic meter (mg m-3)
Description: <p>Mean surface satellite chlorophyll-a concentration at the underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987643.rdf
Name: Chla_std_1day
Units: milligrams per cubic meter (mg m-3)
Description: <p>Standard deviation of surface satellite chlorophyll-a concentration at the underway location</p>
http://lod.bco-dmo.org/id/dataset-parameter/987644.rdf
Name: NPP_VGPM_1day
Units: millimoles carbon per square meter per day (mmol C m-2 d-1)
Description: <p>Mean surface satellite net primary production derived from the VGPM algorithm at the underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987645.rdf
Name: NPP_VGPM_std_1day
Units: millimoles carbon per square meter per day (mmol C m-2 d-1)
Description: <p>Standard deviation of surface satellite net primary production derived from the VGPM algorithm at the underway location</p>
http://lod.bco-dmo.org/id/dataset-parameter/987646.rdf
Name: NPP_CBPM_1day
Units: millimoles carbon per square meter per day (mmol C m-2 d-1)
Description: <p>Mean surface satellite net primary production derived from the CBPM algorithm at the underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987647.rdf
Name: NPP_CBPM_std_1day
Units: millimoles carbon per square meter per day (mmol C m-2 d-1)
Description: <p>Standard deviation of surface satellite net primary production derived from the CBPM algorithm at the underway location</p>
http://lod.bco-dmo.org/id/dataset-parameter/987648.rdf
Name: FA_W_1day
Units: millimoles O2 per square meter per day (mmol O2 m-2 d-1)
Description: <p>Mean total air-sea O2 exchange flux at each underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987649.rdf
Name: FA_W_std_1day
Units: millimoles O2 per square meter per day (mmol O2 m-2 d-1)
Description: <p>Standard deviation of total air-sea O2 exchange flux at each underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987650.rdf
Name: Fkz_1day
Units: millimoles O2 per square meter per day (mmol O2 m-2 d-1)
Description: <p>Vertical diffusion flux of O2 at each underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987651.rdf
Name: Fkz_std_1day
Units: millimoles O2 per square meter per day (mmol O2 m-2 d-1)
Description: <p>Standard deviation of vertical diffusion flux of O2 at each underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987652.rdf
Name: Fw_1day
Units: millimoles O2 per square meter per day (mmol O2 m-2 d-1)
Description: <p>Vertical advection flux of O2 at each underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987653.rdf
Name: Fw_std_1day
Units: millimoles O2 per square meter per day (mmol O2 m-2 d-1)
Description: <p>Standard deviation of vertical advection flux of O2 at each underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987654.rdf
Name: Fh_1day
Units: millimoles O2 per square meter per day (mmol O2 m-2 d-1)
Description: <p>Horizontal advection flux of O2 at each underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987655.rdf
Name: Fh_std_1day
Units: millimoles O2 per square meter per day (mmol O2 m-2 d-1)
Description: <p>Standard deviation of horizontal advection flux of O2 at each underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987656.rdf
Name: Ftime_1day
Units: millimoles O2 per square meter per day (mmol O2 m-2 d-1)
Description: <p>Time rate of O2 change at each underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987657.rdf
Name: Ftime_std_1day
Units: millimoles O2 per square meter per day (mmol O2 m-2 d-1)
Description: <p>Standard deviation of time rate of O2 change at each underway location at daily resolution</p>
http://lod.bco-dmo.org/id/dataset-parameter/987658.rdf
Name: FNCP_MC_1day
Units: millimoles carbon per square meter per day (mmol C m-2 d-1)
Description: <p>Net community production at each underway location at daily resolution derived from a Monte Carlo simulation</p>
http://lod.bco-dmo.org/id/dataset-parameter/987659.rdf
Name: FNCP_MC_std_1day
Units: millimoles carbon per square meter per day (mmol C m-2 d-1)
Description: <p>Standard deviation of net community production at each underway location at daily resolution derived from a Monte Carlo simulation</p>
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.
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14220
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https://doi.org/10.26008/1912/bco-dmo.987524.1
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<p>Underway dissolved oxygen (O<sub>2</sub>) data were collected using the SBE 43 (Clark-type electrode) oxygen sensor in the hydrolab on R/V Roger Revelle. Underway temperature and salinity data were obtained from the thermosalinograph sensor mounted at the bow intake. We assume that the underway seawater intake was at around 5 decibars (db). All underway sensor data were calibrated with discrete surface samples collected within ±30 minutes in the upper 20 db during CTD stations. The median of calibrated underway data every hour was used to estimate different terms in the O<sub>2</sub> budget. The O<sub>2</sub> saturation concentration was corrected for the effect of water vapor, sea level pressure, and relative humidity (Garcia and Gordon, 1992; Dickson et al., 2007), using shipboard meteorological data collected alongside underway data.</p>
<p>To fully construct the O<sub>2</sub> budget, we combined in situ underway surface O<sub>2</sub> data with global data products of O<sub>2</sub> depth distribution and satellite data. Monthly O<sub>2</sub> data from the GOBAI-O<sub>2</sub> (Sharp et al., 2023) were interpolated temporally and spatially to the cruise track and used north of 64.5°S, while WOA23 monthly climatology (Garcia et al., 2024a) was employed south of 64.5°S. Net community production (NCP) was estimated as the residual term in the O<sub>2</sub> budget after accounting for the time rate of O<sub>2</sub> change and physical O<sub>2</sub> fluxes (Eq. 1; Emerson et al., 2008; Quay et al., 2020; Palevsky et al., 2016; Quay and Stephens, 2025). The air-sea O<sub>2</sub> gas exchange flux was calculated as the sum of diffusive and bubble O<sub>2</sub> fluxes (Emerson et al., 2019) and estimated using the <em>gas_toolbox</em> in MATLAB (Manning and Nicholson, 2022). Final O<sub>2</sub> flux and NCP values along the cruise track were presented as daily (24-hour) means with standard deviations derived from a Monte Carlo simulation.</p>
<p>Additional datasets used in this work include monthly satellite surface chlorophyll-a concentrations (Aqua-MODIS 4 km data product) and net primary production (Vertically Generalized Production Model and Carbon-Based Production Model algorithms), and surface phosphate and silicate concentrations derived from the WOA23 monthly climatology (Garcia et al., 2024b). All of these data were interpolated temporally and spatially to the cruise track using the MATLAB function <em>interpn</em>.</p>
Specified by the Principal Investigator(s)
<p>The surface O<sub>2</sub> budget is expressed as</p>
<p>MLD × ∂O<sub>2</sub>/∂t = F<sub>A-W</sub> + F<sub>Kz</sub> + F<sub>W</sub> + F<sub>H</sub> + NCP&nbsp; &nbsp;<em>(Eq. 1)</em></p>
<p>where MLD is the mixed layer depth at each location defined as the depth where the potential temperature is lower than the value at 10 meters (m) by 0.2°C (de Boyer Montegut et al., 2004), ∂O<sub>2</sub>/∂t is the time rate of change of O<sub>2</sub> concentration, F<sub>A-W</sub> is the total air-sea gas exchange flux across the air-water interface, F<sub>Kz</sub> is the vertical diffusion flux, F<sub>W</sub> is the vertical advection flux, and F<sub>H</sub> is the horizontal advection flux. All O<sub>2</sub> fluxes have the unit of mmol O<sub>2</sub> m<sup>–2</sup> d<sup>–1</sup>. A constant of 1.45 as the mean annual stoichiometric relationship between biologically produced oxygen and organic carbon (Hedges et al., 2002) was used to convert NCP into carbon units.</p>
<p><strong>- Time rate of O<sub>2</sub> change</strong><br />
The time rate of change of oxygen (MLD × ∂O<sub>2</sub>/∂t) was calculated using data products (GOBAI-O<sub>2</sub> and WOA23) as the difference in surface oxygen concentrations at each location between the time of the cruise and the previous month. We extracted oxygen data at the time and location along the cruise track at all 19 years from GOBAI (2004–2022) to constrain the interannual variability and, thereby, the uncertainty in O<sub>2</sub> time rate of change, and vertical and horizontal O<sub>2</sub> gradients</p>
<p><strong>- F<sub>A-W</sub></strong><br />
The air-sea O<sub>2</sub> gas exchange flux was estimated as the sum of diffusive and bubble O<sub>2</sub> fluxes (Ho et al., 2011; Liang et al., 2013; Emerson et al., 2019) using underway (O<sub>2</sub> and O<sub>2</sub> saturation concentrations) and satellite (wind speed, sea level pressure, and relative humidity) data, following a 60-day weighting scheme taking into account historical wind speed data (Reuer et al., 2007; Teeter et al., 2018). All calculations of the gas flux were performed using the <em>gas_toolbox</em> in MATLAB (Manning and Nicholson, 2022). We assigned a ±15% error for each component of F<sub>A-W</sub> (Bushinsky and Emerson, 2015, 2018).</p>
<p><strong>- F<sub>Kz</sub></strong><br />
The diffusion flux of O<sub>2</sub> across the base of the mixed layer was estimated as the product of vertical diffusion coefficient (K<sub>z</sub>) and the vertical oxygen gradient. K<sub>z</sub> was derived from the depth profiles of beryllium-7 measured at 11 stations during the GP17-OCE cruise, with the mean of 4.8±4.1×10<sup>–4</sup> m<sup>2</sup> s<sup>–1</sup> (Stephens, 2024). The mean K<sub>z</sub> was applied to underway data to estimate F<sub>Kz</sub> along the cruise track. O<sub>2</sub> profiles from data products (GOBAI-O<sub>2</sub>: north of 64.5˚S; WOA23: south of 64.5˚S), interpolated temporally and spatially to the cruise track, were used to estimate the vertical oxygen gradient. Uncertainty in the vertical diffusion coefficient was the standard deviation of <sup>7</sup>Be-based estimated K<sub>z</sub> along the GP17-OCE cruise track.</p>
<p><strong>- F<sub>W</sub></strong><br />
The vertical advection of O<sub>2</sub> across the base of the mixed layer was estimated as the product of the satellite-derived upwelling velocity and the O<sub>2</sub> concentration difference across the mixed layer. The upwelling velocity was derived from 7-day composite of the Metop-C ASCAT satellite interpolated to the cruise time and space. Like for F<sub>Kz</sub>, interpolated O<sub>2</sub> profiles from data products (GOBAI-O<sub>2</sub> and WOA23) were used to calculate the difference of O<sub>2</sub> across the mixed layer. We assigned a ±50% error for upwelling velocities (Palevsky et al., 2016; Bushinsky and Emerson, 2018).</p>
<p><strong>- F<sub>H</sub></strong><br />
The horizontal advection flux of O<sub>2</sub> was estimated using the satellite-derived surface current velocity and horizontal gradients of O<sub>2</sub>. The zonal and meridional gradients of O<sub>2</sub> concentrations at the surface were calculated using data products (GOBAI-O<sub>2</sub> and WOA23) over the distance traveled during the residence time of oxygen at each underway location (~10 days). We assigned a ±50% error for surface current velocities (Palevsky et al., 2016; Bushinsky and Emerson, 2018).</p>
<p><strong>- NCP</strong><br />
Net community production (NCP) was estimated as the residual term in the O<sub>2</sub> budget. Uncertainties for all hourly O<sub>2</sub> flux in the O<sub>2</sub> budget were estimated following rules of error propagation, whereas uncertainties of daily O<sub>2</sub> flux also accounted for temporal and spatial variability, represented by the standard deviation of all hourly data within a day. To ensure equal weighting of discrete sampling locations, median oxygen concentrations and fluxes at CTD stations (where the ship could remain stationary for up to 58 hours) were used to estimate daily means. Daily mean NCP values and their standard deviations along the cruise track were derived from a Monte Carlo simulation (N=10,000), assuming a normal distribution for each O<sub>2</sub> flux.</p>
Specified by the Principal Investigator(s)
For the primary (daily) data file:
- Imported original file "GP17_underway_hydro_O2_fluxes_NCP_1day_final.xlsx" into the BCO-DMO system.
- Marked "NaN" as a missing data value (missing data are empty/blank in the final CSV file).
- Renamed fields to comply with BCO-DMO naming conventions.
- Converted date-time field, "Date_1day", to ISO 8601 (UTC) format.
- Saved the final file as "987524_v1_gp17-oce_underway_daily_ncp.csv".
For the supplemental (hourly) data file:
- Imported original file "GP17_underway_hydro_O2_fluxes_NCP_1h_final_v2.xlsx" into the BCO-DMO system.
- Marked "NaN" as a missing data value (missing data are empty/blank in the final CSV file).
- Renamed fields to comply with BCO-DMO naming conventions.
- Converted date-time field, "Date_1day", to ISO 8601 (UTC) format.
- Saved the final file as "987524_v1_gp17-oce_underway_hourly_ncp.csv".
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Seabird SBE 43 dissolved oxygen sensor
Seabird SBE 43 dissolved oxygen sensor
PI Supplied Instrument Name: Seabird SBE 43 dissolved oxygen sensor PI Supplied Instrument Description:Used to measure underway O2 along the GP17-OCE cruise track Instrument Name: Sea-Bird SBE 43 Dissolved Oxygen Sensor Instrument Short Name:SBE-43 DO Instrument Description: The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. more information from Sea-Bird Electronics Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0036/
Seabird SBE 45 thermosalinograph sensor
Seabird SBE 45 thermosalinograph sensor
PI Supplied Instrument Name: Seabird SBE 45 thermosalinograph sensor PI Supplied Instrument Description:Used to measure underway temperature and salinity along the GP17-OCE cruise track Instrument Name: Sea-Bird SBE 45 MicroTSG Thermosalinograph Instrument Short Name:SBE 45 MicroTSG Instrument Description: A small externally powered, high-accuracy instrument, designed for shipboard determination of sea surface (pumped-water) conductivity and temperature. It is constructed of plastic and titanium to ensure long life with minimum maintenance. It may optionally be interfaced to an external SBE 38 hull temperature sensor.
Sea Bird SBE 45 MicroTSG (Thermosalinograph) Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0190/
Cruise: RR2214
RR2214
R/V Roger Revelle
Community Standard Description
International Council for the Exploration of the Sea
R/V Roger Revelle
vessel
RR2214
Benjamin Twining
Bigelow Laboratory for Ocean Sciences
https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/rogerrevelle_rr2214.pdf
Report describing RR2214
R/V Roger Revelle
Community Standard Description
International Council for the Exploration of the Sea
R/V Roger Revelle
vessel