| Contributors | Affiliation | Role |
|---|---|---|
| Xiang, Yang | University of Washington (UW) | Principal Investigator, Contact |
| Fassbender, Andrea J. | National Oceanic and Atmospheric Administration (NOAA-PMEL) | Co-Principal Investigator |
| Quay, Paul | University of Washington (UW) | Co-Principal Investigator |
| Sonnerup, Rolf | University of Washington (UW) | Co-Principal Investigator |
| Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Underway dissolved oxygen (O2) 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 O2 budget. The O2 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.
To fully construct the O2 budget, we combined in situ underway surface O2 data with global data products of O2 depth distribution and satellite data. Monthly O2 data from the GOBAI-O2 (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 O2 budget after accounting for the time rate of O2 change and physical O2 fluxes (Eq. 1; Emerson et al., 2008; Quay et al., 2020; Palevsky et al., 2016; Quay and Stephens, 2025). The air-sea O2 gas exchange flux was calculated as the sum of diffusive and bubble O2 fluxes (Emerson et al., 2019) and estimated using the gas_toolbox in MATLAB (Manning and Nicholson, 2022). Final O2 flux and NCP values along the cruise track were presented as daily (24-hour) means with standard deviations derived from a Monte Carlo simulation.
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 interpn.
The surface O2 budget is expressed as
MLD × ∂O2/∂t = FA-W + FKz + FW + FH + NCP (Eq. 1)
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), ∂O2/∂t is the time rate of change of O2 concentration, FA-W is the total air-sea gas exchange flux across the air-water interface, FKz is the vertical diffusion flux, FW is the vertical advection flux, and FH is the horizontal advection flux. All O2 fluxes have the unit of mmol O2 m–2 d–1. 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.
- Time rate of O2 change
The time rate of change of oxygen (MLD × ∂O2/∂t) was calculated using data products (GOBAI-O2 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 O2 time rate of change, and vertical and horizontal O2 gradients
- FA-W
The air-sea O2 gas exchange flux was estimated as the sum of diffusive and bubble O2 fluxes (Ho et al., 2011; Liang et al., 2013; Emerson et al., 2019) using underway (O2 and O2 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 gas_toolbox in MATLAB (Manning and Nicholson, 2022). We assigned a ±15% error for each component of FA-W (Bushinsky and Emerson, 2015, 2018).
- FKz
The diffusion flux of O2 across the base of the mixed layer was estimated as the product of vertical diffusion coefficient (Kz) and the vertical oxygen gradient. Kz was derived from the depth profiles of beryllium-7 measured at 11 stations during the GP17-OCE cruise, with the mean of 4.8±4.1×10–4 m2 s–1 (Stephens, 2024). The mean Kz was applied to underway data to estimate FKz along the cruise track. O2 profiles from data products (GOBAI-O2: 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 7Be-based estimated Kz along the GP17-OCE cruise track.
- FW
The vertical advection of O2 across the base of the mixed layer was estimated as the product of the satellite-derived upwelling velocity and the O2 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 FKz, interpolated O2 profiles from data products (GOBAI-O2 and WOA23) were used to calculate the difference of O2 across the mixed layer. We assigned a ±50% error for upwelling velocities (Palevsky et al., 2016; Bushinsky and Emerson, 2018).
- FH
The horizontal advection flux of O2 was estimated using the satellite-derived surface current velocity and horizontal gradients of O2. The zonal and meridional gradients of O2 concentrations at the surface were calculated using data products (GOBAI-O2 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).
- NCP
Net community production (NCP) was estimated as the residual term in the O2 budget. Uncertainties for all hourly O2 flux in the O2 budget were estimated following rules of error propagation, whereas uncertainties of daily O2 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 O2 flux.
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".
| File |
|---|
987524_v1_gp17-oce_underway_daily_ncp.csv (Comma Separated Values (.csv), 13.89 KB) MD5:65a6b069940be6772522e5fe55add859 Primary data file for dataset ID 987524, version 1. Contains underway O2 flux and net community production at daily resolution along the cruise track. |
| File |
|---|
987524_v1_gp17-oce_underway_hourly_ncp.csv (Comma Separated Values (.csv), 208.49 KB) MD5:340e33c026ec85554d4c75835ae3196f Supplemental file for dataset ID 987524, version 1. Contains underway O2 flux and net community production at hourly resolution along the cruise track. |
987524_v1_hourly_data_parameter_descriptions.pdf (Portable Document Format (.pdf), 621.05 KB) MD5:ed4b9c66e7a89fecb5ef834c58bab3e7 Supplemental file for dataset ID 987524, version 1. This file contains descriptions and units of the parameters (columns) in the hourly data (file "987524_v1_gp17-oce_underway_hourly_ncp.csv"). |
| Parameter | Description | Units |
| Date_1day | Median UTC date of underway data within 1 day in ISO 8601 format | unitless |
| Latitude_1day | Mean latitude of underway data within 1 day with north latitude represented by positive values | degrees North |
| Latitude_std_1day | Standard deviation of latitude of underway data within 1 day | degrees North |
| Longitude_1day | Mean longitude of underway data within 1 day with east longitude represented by positive values | degrees East |
| Longitude_std_1day | Standard deviation of longitude of underway data within 1 day | degrees East |
| Station_1day | The CTD station number when the underway data were sampled at stations | unitless |
| Temperature_1day | Mean underway temperature within 1 day | degrees Celsius |
| Temperature_std_1day | Standard deviation of underway temperature within 1 day | degrees Celsius |
| Salinity_1day | Mean underway salinity within 1 day | PSU |
| Salinity_std_1day | Standard deviation of underway salinity within 1 day | PSU |
| O2_1day | Mean underway O2 concentration within 1 day | micromoles per liter (umol L-1) |
| O2_std_1day | Standard deviation of underway O2 concentration within 1 day | micromoles per liter (umol L-1) |
| O2_saturation_1day | Mean underway O2 saturation concentration within 1 day | micromoles per liter (umol L-1) |
| O2_saturation_std_1day | Standard deviation of underway O2 saturation concentration within 1 day | micromoles per liter (umol L-1) |
| O2_saturation_anomaly_1day | Mean underway O2 saturation anomaly within 1 day | percent (%) |
| O2_saturation_anomaly_std_1day | Standard deviation of underway O2 saturation anomaly within 1 day | percent (%) |
| Phosphate_1day | Mean surface phosphate concentration at the underway location at daily resolution | micromoles per kilogram (umol kg-1) |
| Phosphate_std_1day | Standard deviation of surface phosphate concentration at the underway location | micromoles per kilogram (umol kg-1) |
| Silicate_1day | Mean surface silicate concentration at the underway location at daily resolution | micromoles per kilogram (umol kg-1) |
| Silicate_std_1day | Standard deviation of surface silicate concentration at the underway location | micromoles per kilogram (umol kg-1) |
| Chla_1day | Mean surface satellite chlorophyll-a concentration at the underway location at daily resolution | milligrams per cubic meter (mg m-3) |
| Chla_std_1day | Standard deviation of surface satellite chlorophyll-a concentration at the underway location | milligrams per cubic meter (mg m-3) |
| NPP_VGPM_1day | Mean surface satellite net primary production derived from the VGPM algorithm at the underway location at daily resolution | millimoles carbon per square meter per day (mmol C m-2 d-1) |
| NPP_VGPM_std_1day | Standard deviation of surface satellite net primary production derived from the VGPM algorithm at the underway location | millimoles carbon per square meter per day (mmol C m-2 d-1) |
| NPP_CBPM_1day | Mean surface satellite net primary production derived from the CBPM algorithm at the underway location at daily resolution | millimoles carbon per square meter per day (mmol C m-2 d-1) |
| NPP_CBPM_std_1day | Standard deviation of surface satellite net primary production derived from the CBPM algorithm at the underway location | millimoles carbon per square meter per day (mmol C m-2 d-1) |
| FA_W_1day | Mean total air-sea O2 exchange flux at each underway location at daily resolution | millimoles O2 per square meter per day (mmol O2 m-2 d-1) |
| FA_W_std_1day | Standard deviation of total air-sea O2 exchange flux at each underway location at daily resolution | millimoles O2 per square meter per day (mmol O2 m-2 d-1) |
| Fkz_1day | Vertical diffusion flux of O2 at each underway location at daily resolution | millimoles O2 per square meter per day (mmol O2 m-2 d-1) |
| Fkz_std_1day | Standard deviation of vertical diffusion flux of O2 at each underway location at daily resolution | millimoles O2 per square meter per day (mmol O2 m-2 d-1) |
| Fw_1day | Vertical advection flux of O2 at each underway location at daily resolution | millimoles O2 per square meter per day (mmol O2 m-2 d-1) |
| Fw_std_1day | Standard deviation of vertical advection flux of O2 at each underway location at daily resolution | millimoles O2 per square meter per day (mmol O2 m-2 d-1) |
| Fh_1day | Horizontal advection flux of O2 at each underway location at daily resolution | millimoles O2 per square meter per day (mmol O2 m-2 d-1) |
| Fh_std_1day | Standard deviation of horizontal advection flux of O2 at each underway location at daily resolution | millimoles O2 per square meter per day (mmol O2 m-2 d-1) |
| Ftime_1day | Time rate of O2 change at each underway location at daily resolution | millimoles O2 per square meter per day (mmol O2 m-2 d-1) |
| Ftime_std_1day | Standard deviation of time rate of O2 change at each underway location at daily resolution | millimoles O2 per square meter per day (mmol O2 m-2 d-1) |
| FNCP_MC_1day | Net community production at each underway location at daily resolution derived from a Monte Carlo simulation | millimoles carbon per square meter per day (mmol C m-2 d-1) |
| FNCP_MC_std_1day | Standard deviation of net community production at each underway location at daily resolution derived from a Monte Carlo simulation | millimoles carbon per square meter per day (mmol C m-2 d-1) |
| Dataset-specific Instrument Name | Seabird SBE 43 dissolved oxygen sensor |
| Generic Instrument Name | Sea-Bird SBE 43 Dissolved Oxygen Sensor |
| Dataset-specific Description | Used to measure underway O2 along the GP17-OCE cruise track |
| Generic 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 |
| Dataset-specific Instrument Name | Seabird SBE 45 thermosalinograph sensor |
| Generic Instrument Name | Sea-Bird SBE 45 MicroTSG Thermosalinograph |
| Dataset-specific Description | Used to measure underway temperature and salinity along the GP17-OCE cruise track |
| Generic 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) |
| Website | |
| Platform | R/V Roger Revelle |
| Report | |
| Start Date | 2022-12-01 |
| End Date | 2023-01-25 |
| Description | 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 with a team of 34 scientists led 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.
The GP17-OCE section encompassed three major transects:
(1) a southbound pseudo-meridional section (~152-135 degrees West) from 20 degrees South to 67 degrees South;
(2) an eastbound zonal transect from 135 degrees West to 100 degrees West;
(3) and a northbound section returning to Chile (100-75 degrees West).
Additional cruise information is available from the following sources:
R2R: https://www.rvdata.us/search/cruise/RR2214
CCHDO: https://cchdo.ucsd.edu/cruise/33RR20221201
More information can also be found at: https://usgeotraces.ldeo.columbia.edu/content/gp17-oce |
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.
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.
Further information is available on the US GEOTRACES website and in the cruise report (PDF).
NSF Project Title: Collaborative Research: Management and Implementation of US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)
NSF Award Abstract:
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.
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.
NSF Award Abstract:
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.
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).
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.
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.
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |