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

Website: https://www.bco-dmo.org/dataset/987524
Data Type: Cruise Results
Version: 1
Version Date: 2025-10-21

Project
» US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE) (GP17-OCE)
» US GEOTRACES OCE: Measuring the distribution of stable carbon isotopes and estimating organic matter export rates (GP17-OCE 13C-DIC)

Program
» U.S. GEOTRACES (U.S. GEOTRACES)
ContributorsAffiliationRole
Xiang, YangUniversity of Washington (UW)Principal Investigator, Contact
Fassbender, Andrea J.National Oceanic and Atmospheric Administration (NOAA-PMEL)Co-Principal Investigator
Quay, PaulUniversity of Washington (UW)Co-Principal Investigator
Sonnerup, RolfUniversity of Washington (UW)Co-Principal Investigator
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
These data include underway temperature, salinity, dissolved oxygen (O2), satellite-derived chlorophyll a and net primary production, and budget-derived net community production (NCP) collected during the US GEOTRACES GP17-OCE cruise from San Diego to Punta Arenas in the Pacific and Southern Oceans. By integrating underway O2 measurements with global O2 data products and satellite data, all components of the surface oxygen budget were constrained, with NCP estimated as the residual term. Our results not only significantly advance understanding of the ocean's biological pump (BP) across diverse biogeochemical regimes but also help validate export estimates from satellite-based productivity algorithms. Since underway O2 data are commonly collected on most research ships, such as during the Global Ship-Based Hydrographic Investigations Program (GO-SHIP), our method for estimating NCP can be applied on a global scale, which contributes to a more comprehensive understanding of the regional variations of the strength of the BP, especially at sub-seasonal time scales.


Coverage

Location: Pacific and Southern Oceans
Spatial Extent: N:27.13 E:-75.72 S:-67.02 W:-152
Temporal Extent: 2022-11-15 - 2023-01-23

Methods & Sampling

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.


Data Processing Description

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.


BCO-DMO Processing Description

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".


Problem Description

Extreme outliers of O2 sometimes appeared as a result of bubbles in the intake line and episodic winds. We removed outliers using historical O2 data from the Global Ocean Data Analysis Project (GLODAP) (Key et al., 2015; Olsen et al., 2016; Lauvset et al., 2024) and the MATLAB outlier detection function (rmoutliers). Overall, these two steps removed 3.6% of O2 data. The remaining 96.4% of underway O2 data were used to estimate hourly and daily mean O2 fluxes and NCP.

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Data Files

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.

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Supplemental Files

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").

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Related Publications

Bushinsky, S. M., & Emerson, S. (2015). Marine biological production from in situ oxygen measurements on a profiling float in the subarctic Pacific Ocean. Global Biogeochemical Cycles, 29(12), 2050–2060. Portico. https://doi.org/10.1002/2015GB005251
Methods
Bushinsky, S. M., & Emerson, S. R. (2018). Biological and physical controls on the oxygen cycle in the Kuroshio Extension from an array of profiling floats. Deep Sea Research Part I: Oceanographic Research Papers, 141, 51–70. https://doi.org/10.1016/j.dsr.2018.09.005
Methods
De Boyer Montégut, C. (2004). Mixed layer depth over the global ocean: An examination of profile data and a profile-based climatology. Journal of Geophysical Research, 109(C12). doi:10.1029/2004JC002378
Methods
Dickson, A.G.; Sabine, C.L. and Christian, J.R. (eds) (2007) Guide to best practices for ocean CO2 measurement. Sidney, British Columbia, North Pacific Marine Science Organization, 191pp. (PICES Special Publication 3; IOCCP Report 8). DOI: https://doi.org/10.25607/OBP-1342
Methods
Emerson, S., Stump, C., & Nicholson, D. (2008). Net biological oxygen production in the ocean: Remote in situ measurements of O2 and N2 in surface waters. Global Biogeochemical Cycles, 22(3). Portico. https://doi.org/10.1029/2007GB003095
Methods
Emerson, S., Yang, B., White, M., & Cronin, M. (2019). Air‐Sea Gas Transfer: Determining Bubble Fluxes With In Situ N2 Observations. Journal of Geophysical Research: Oceans, 124(4), 2716–2727. Portico. https://doi.org/10.1029/2018JC014786
Methods
Garcia, H. E., & Gordon, L. I. (1992). Oxygen solubility in seawater: Better fitting equations. Limnology and Oceanography, 37(6), 1307–1312. doi:10.4319/lo.1992.37.6.1307
Methods
Garcia, H. E., Bouchard, C., Cross, S. L., Paver, C. R., Reagan, J. R., Boyer, T. P., Locarnini, R. A., Mishonov, A. V., Baranova, O. K., Seidov, D., Wang, Z., & Dukhovskoy, D. (2024). World Ocean Atlas 2023, Volume 4: Dissolved Inorganic Nutrients (phosphate, nitrate and nitrate+nitrite, silicate). NOAA National Centers for Environmental Information. https://doi.org/10.25923/39qw-7j08
Methods
Garcia, H. E., Wang, Z., Bouchard, C., Cross, S. L., Paver, C. R., Reagan, J. R., Boyer, T. P., Locarnini, R. A., Mishonov, A. V., Baranova, O. K., Seidov, D., & Dukhovskoy, D. (2024). World Ocean Atlas 2023, Volume 3: Dissolved Oxygen, Apparent Oxygen Utilization, and Dissolved Oxygen Saturation. NOAA National Centers for Environmental Information. https://doi.org/10.25923/rb67-ns53
Methods
Hedges, J. I., Baldock, J. A., Gélinas, Y., Lee, C., Peterson, M. L., & Wakeham, S. G. (2002). The biochemical and elemental compositions of marine plankton: A NMR perspective. Marine Chemistry, 78(1), 47–63. doi:10.1016/S0304-4203(02)00009-9
Methods
Ho, D. T., Wanninkhof, R., Schlosser, P., Ullman, D. S., Hebert, D., & Sullivan, K. F. (2011). Toward a universal relationship between wind speed and gas exchange: Gas transfer velocities measured with3He/SF6during the Southern Ocean Gas Exchange Experiment. Journal of Geophysical Research, 116. https://doi.org/10.1029/2010JC006854
Methods
Liang, J.-H., Deutsch, C., McWilliams, J. C., Baschek, B., Sullivan, P. P., & Chiba, D. (2013). Parameterizing bubble-mediated air-sea gas exchange and its effect on ocean ventilation. Global Biogeochemical Cycles, 27(3), 894–905. doi:10.1002/gbc.20080
Methods
Manning, C. C. M., & Nicholson, D. P. (2022). dnicholson/gas_toolbox: MATLAB code for calculating gas fluxes (Version v1.0.6) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.6126685
Methods
Palevsky, H. I., Quay, P. D., Lockwood, D. E., & Nicholson, D. P. (2016). The annual cycle of gross primary production, net community production, and export efficiency across the North Pacific Ocean. Global Biogeochemical Cycles, 30(2), 361–380. Portico. https://doi.org/10.1002/2015GB005318
Methods
Quay, P., & Stephens, M. (2025). Regional Patterns of Organic Matter Export Rates Along the GEOTRACES Pacific Meridional Transect GP15. Global Biogeochemical Cycles, 39(2). Portico. https://doi.org/10.1029/2024GB008277
Methods
Quay, P., Emerson, S., & Palevsky, H. (2020). Regional Pattern of the Ocean’s Biological Pump Based on Geochemical Observations. Geophysical Research Letters, 47(14). Portico. https://doi.org/10.1029/2020GL088098
Methods
Reuer, M. K., Barnett, B. A., Bender, M. L., Falkowski, P. G., & Hendricks, M. B. (2007). New estimates of Southern Ocean biological production rates from O2/Ar ratios and the triple isotope composition of O2. Deep Sea Research Part I: Oceanographic Research Papers, 54(6), 951–974. doi:10.1016/j.dsr.2007.02.007
Methods
Sharp, J. D., Fassbender, A. J., Carter, B. R., Johnson, G. C., Schultz, C., & Dunne, J. P. (2023). GOBAI-O2: temporally and spatially resolved fields of ocean interior dissolved oxygen over nearly 2 decades. Earth System Science Data, 15(10), 4481–4518. https://doi.org/10.5194/essd-15-4481-2023
Methods
Teeter, L., Hamme, R. C., Ianson, D., & Bianucci, L. (2018). Accurate Estimation of Net Community Production From O2/Ar Measurements. Global Biogeochemical Cycles, 32(8), 1163–1181. Portico. https://doi.org/10.1029/2017GB005874
Methods
Xiang, Y., Quay, P. D., Fassbender, A. J., & Sonnerup, R. E. Regional patterns of net community production in the Pacific and Southern Oceans during the U.S. GEOTRACES GP17-OCE transect. In prep for Global Biogeochemical Cycles.
Results

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Related Datasets

IsRelatedTo
Stephens, M. (2024). Aerosol and seawater beryllium-7 concentrations from the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from December 2022 to January 2023 (Version 1) [Data set]. Biological and Chemical Oceanography Data Management Office (BCO-DMO). https://doi.org/10.26008/1912/BCO-DMO.927107.1
Twining, B., Cutter, G. A., & Fitzsimmons, J. N. (2025). Bottle data from CTD profiles from the ODF rosette deployed on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023 (Version 2) [Data set]. Biological and Chemical Oceanography Data Management Office (BCO-DMO). https://doi.org/10.26008/1912/BCO-DMO.955717.2

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Parameters

ParameterDescriptionUnits
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)


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Instruments

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)


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Deployments

RR2214

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


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Project Information

US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE) (GP17-OCE)


Coverage: Papeete, Tahiti to Punta Arenas, Chile


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.


US GEOTRACES OCE: Measuring the distribution of stable carbon isotopes and estimating organic matter export rates (GP17-OCE 13C-DIC)

Coverage: South Pacific and Southern Oceans


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.



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Program Information

U.S. GEOTRACES (U.S. GEOTRACES)


Coverage: Global


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.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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