Dataset: Discrete carbonate data from Narragansett Bay in 2022 and 2023

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.961940.1Version 1 (2025-05-14)Dataset Type:Other Field Results

Principal Investigator: Hongjie Wang (University of Rhode Island)

Co-Principal Investigator: Andrew Davies (University of Rhode Island)

Scientist: Kristofer Gomes (University of Rhode Island)

Scientist: Shuai Gu (Texas A&M University)

Scientist: Heather Stoffel (University of Rhode Island)

Student: Georgia Ahumada (University of Miami)

Student: Abigail Baskind (University of Rhode Island)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)


Project: Drivers of ocean acidification in a temperate urbanized estuary undergoing nutrient loading reductions (OA Drivers in an Urbanized Estuary)


Abstract

This dataset contains discrete carbonate data (TA, DIC, pH, Temperature, Salinity), collected as part of the study described below. See the "Related Publications" section for autonomously collected pH data from this study. Study description: The increase in atmospheric carbon dioxide (CO2) over the last 200 years has largely been mitigated by the ocean’s function as a carbon sink. However, this continuous absorption of CO2 by seawater triggers ocean acidification (OA), a process in which w...

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This dataset contains discrete carbonate data (TA, DIC, pH, Temperature, Salinity). See the "Related Publications" section for autonomously collected pH data also described in this methodology.

The Mount View (MV) and Quonset Point (QP) sensors are maintained by the Narragansett Bay Fixed Station Monitoring Network (NBFSMN). Each sensor measures pH, along with temperature, salinity, and DO in the surface, every 15 and were deployed only from spring to fall.  Complete documentation provided by the Rhode Island Department of Environmental Management (RIDEM, 2020; https://dem.ri.gov/sites/g/files/xkgbur861/files/programs/benviron/water/quality/surfwq/pdfs/nbfsmn.pdf).

The Conanicut Hydrocat 620 and Potowomut Hydrocat 720 sensors are maintained by the Rhode Island Consortium for Coastal Ecology Assessment, Innovation, and Modeling (RI C-AIM; https://data-explorer.riddc.brown.edu/dataset/buoy-telemetry/summary) and Rhode Island Sea Grant. Each sensor measures pH, along with temperature, salinity, and DO, every 15 minutes approximately 1 meter below the surface (RI C-AIM, 2024). The hydrocat sensors were deployed year-round and were recovered every 2 to 4 weeks, weather permitting, for maintenance at which point the flow path and the conductivity cell are flushed with 1% Triton detergent followed by vigorous flushing with DI water.

Discrete bottle samples were collected to verify the sensor data. Samples for the southern region of the bay (i.e. near QP and Conanicut buoy) were collected weekly as part of the Narragansett Bay Long Term Phytoplankton Time Series (PLT), which is located just off the Conanicut buoy. The time series typically collects samples on Monday mornings at approximately 7:30am, barring weeks when inclement weather conditions delayed or canceled sampling. Samples for the northern region of the bay (i.e. Greenwich Bay near MV and Potowomut buoy) were collected approximately once a month. After collection, samples were poisoned with 100 uM  of saturated mercuric chloride solution and stored in the refrigerator until analysis for DIC and TA. DIC and TA were measured according to Dickson et al. (2007) using the Apollo SciTech Model AS-C6L Dissolved Inorganic Carbon Analyzer and the Apollo SciTech Model AS-ALK3 Total Alkalinity Titrator. Instruments were calibrated to Certified Reference Material (CRM) from Scripps Institute of Oceanography at room temperature (21 - 22° C). For DIC analysis, a sample of CRM was run prior to and at the end of sample analysis for quality control. TA analysis was calibrated to CRM, and either a sample of CRM or aged open ocean water was run at beginning of daily analysis and end of daily analysis for quality control. Lab-based measurements carry a ±0.2% uncertainty for alkalinity and ±0.1% uncertainty for DIC.

Instruments:
(additional context to accompany the list in the "Instruments" section)

The Mount View (MV; EXO V2) and Quonset Point (QP; 6600EDS) sensors are YSI brand multi-parameter sondes maintained by the Narragansett Bay Fixed Station Monitoring Network (NBFSMN). Both sondes were equipped to measure temperature, salinity, dissolved oxygen, pH [NBS], depth, and chlorophyll. The surface equipment was housed in a tube on a monitoring buoy station with the instrument depth about 1 meter from surface. All NBFSMN data were subject to quality assurance measures including verification of calibrations and consistency among multiple instruments, corrections for sensor drift and biases due to biofouling, removal of outliers, and interpolation across selected intervals of missing data, in accordance with the NBFSMN’s EPA approved Quality Assurance Project Plan (RIDEM, 2020). To keep consistency among instruments, servicing protocols consist of swapping the deployed instruments with newly calibrated instruments on a 2-week interval to minimize biofouling. All data are verified through a three-point comparison: data from the retrieved sonde are compared to the newly calibrated sonde, as well as an independent profiling sonde, all at the deployment depth. Outliers and data errors are removed based on criteria set in the NBFSMN’s Quality Assurance Project Plan. Data correction and gaps in coverage on average affect up to 6% of the record at an individual station for an annual assessment. Corrections were filled using linear interpolation and/or sensor offsets following Quality Assurance and Quality Control (QA/QC) protocols detailed in the NBFSMN’s Quality Assurance Project Plan.

The Conanicut Hydrocat 620 and Potowomut Hydrocat 720 sensors were equipped with Seabird Hydrocat-EP CTD sensors (model number# HC-EP.1011S), equipped with a Seabird Hydrocat-EP pH Module (model#802532). Hydrocat-EPs collected multiple parameters including temperature, salinity, pH, dissolved oxygen. The hydrocat sensors were deployed year-round and were recovered every 2 to 4 weeks, weather permitting, for maintenance at which point the flow path and the conductivity cell are flushed with 1% Triton detergent followed by vigorous flushing with DI water. Following the cleaning, conductivity checks with conductivity standards (1413 μS,10,000 μS) ensures proper function, as well as a three point pH calibration of the pH Module (pH 4,7,10). pH calibrations were performed in Seabird's UCI software using their pH calibration wizard. Sensors were sent back to Seabird Scientific for yearly manufacturer calibrations. QA/QC was conducted in R using the R package OCE (Kelley & Richards, 2024), following QA/QC tests established by OOIO (NSF Ocean Observatories Initiative, 2012) including, a stuck value test, despiking, and a range test against global values for measured parameters provided by OOIO and local values in Narragansett Bay provided by the Narragansett Bay Long-Term Plankton Time Series (https://web.uri.edu/gso/research/plankton/).

DIC and TA in discrete samples were measured according to Dickson et al. (2007) using the Apollo SciTech Model AS-C6L Dissolved Inorganic Carbon Analyzer and the Apollo SciTech Model AS-ALK3 Total Alkalinity Titrator. Instruments were calibrated to Certified Reference Material (CRM) from Scripps Institute of Oceanography at room temperature (21 - 22° C). For DIC analysis, a sample of CRM was run prior to and at the end of sample analysis for quality control. TA analysis was calibrated to CRM, and either a sample of CRM or aged open ocean water was run at beginning of daily analysis and end of daily analysis for quality control. Lab-based measurements carry a ±0.2% uncertainty for alkalinity and ±0.1% uncertainty for DIC.

Temperature and salinity in the discrete carbonate data were measured with the Seabird instruments (analogous sites in the autonomous dataset).  Seabird Hydrocat-EP CTD sensors (model number# HC-EP.1011S), equipped with a Seabird Hydrocat-EP pH Module (model#802532). Hydrocat-EPs collected multiple parameters, including temperature, salinity, pH, and dissolved oxygen. 


Related Datasets

IsRelatedTo

Dataset: Autonomous pH
Relationship Description: Data collected as part of the same study to be published in Baskind et al. (2025, doi: 10.3389/fmars.2025.1552350).
Baskind, A., Ahumada, G., Gomes, K., Stoffel, H., Gu, S., Davies, A., Wang, H. (2025) Autonomously collected pH data from Narragansett Bay in 2022 and 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-05-14 doi:10.26008/1912/bco-dmo.961920.1

Related Publications

Results

Baskind A, Ahumada G, Gomes K, Stoffel H, Gu S, Davies A and Wang H (2025) Unraveling natural carbonate variability in Narragansett Bay, RI using multiple high temporal resolution pH time series. Front. Mar. Sci. 12:1552350. doi: 10.3389/fmars.2025.1552350
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

McDougall, T. J., & Barker, P. M. (2011). Getting started with TEOS-10 and the Gibbs Seawater (GSW) oceanographic toolbox. Scor/iapso WG, 127(532), 1-28. ISBN: 978-0-646-55621-5
Methods

NSF Ocean Observatories Initiative. (2012). Data product specification for pH of seawater (Version 1-00). Retrieved from
Methods

RIDEM. (2020). Quality assurance project plan: Narragansett Bay fixed site water quality monitoring network seasonal monitoring. Rhode Island Department of Environmental Managament. Retrieved from https://dem.ri.gov/sites/g/files/xkgbur861/files/programs/benviron/water/quality/surfwq/pdfs/nbfsmn.pdf