Dataset: High-Frequency CO2-system observations from a moored sensor in the York River

Name: High-Frequency CO2-system observations from a moored sensor in the York River
Published: 2023-02-27
Keywords: CO2-system, pH, estuarine acidification, SeapHOx, oceans

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Spatial Extent: N:37.2 E:-76.27 S:37.2 W:-76.27

Temporal Extent: 2016-11 - 2018-06

Project:

Collaborative Research: Multiple Stressors in the Estuarine Environment: What drives changes in the Carbon Dioxide system? (Estuarine Stressors)

Principal Investigator:

Marjorie A.M. Friedrichs (Virginia Institute of Marine Science, VIMS)

Co-Principal Investigator:

Olivia De Meo (Virginia Institute of Marine Science, VIMS)

Raymond Najjar (Pennsylvania State University, PSU)

Elizabeth Shadwick (Virginia Institute of Marine Science, VIMS)

Contact:

Marjorie A.M. Friedrichs (Virginia Institute of Marine Science, VIMS)

BCO-DMO Data Manager:

Karen Soenen (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2023-02-27

Restricted:

Validated:

Current State:

Preliminary and in progress

Abstract:

These are CO2-system data from a moored sensor in the York River, a tributary of the Chesapeake Bay. Temperature, salinity and pH were acquired hourly over two deployments lasting several months. Sensor data were then averaged to 24-hour resolution. Data were calibrated with discrete dissolved inorganic carbon (TCO2) and alkalinity samples analyzed at the Virginia Institute of Marine Science, following standard procedures. The pH sensor data were then combined with salinity data, and a relationship between alkalinity and salinity, to compute the remaining CO2-system parameters (TCO2, CO2 partial pressure (pCO2), and saturation state of aragonite. There is one file for each deployment (D1, and D2); the data are in a comma-separated (csv) format. Hourly measured temperature, salinity, and pH are given, as well as derived alkalinity, TCO2, pCO2, and saturation state of aragonite are included. Units are in the first row of each file.

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Methods & Sampling

A SeapHOx sensor was deployed at the National Oceanic and Atmospheric Administration Chesapeake Bay Interpretive Buoy SystemYork River Buoy (latitude: 37.20°N, longitude 76.27°W) with roughly 8-m water depth. Two deployments can be found in the dataset: Deployment 1 (D1) between November 2016 and April 2017 and Deployment 2 (D2) between December 2017 and June 2018.

Temperature, salinity and pH were acquired hourly over two deployments lasting several months.

Data Processing Description

Sensor data were then averaged to 24-hour resolution. Data were calibrated with discrete dissolved inorganic carbon (TCO2) and alkalinity samples analyzed at the Virginia Institute of Marine Science, following standard procedures. The pH sensor data were then combined with salinity data, and a relationship between alkalinity and salinity, to compute the remaining CO2-system parameters (TCO2, CO2 partial pressure (pCO2), and saturation state of aragonite.

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1537013
NSF Division of Ocean Sciences	OCE-1536996

Deployments

None available yet

Instruments

SeapHOx/SeaFET

Supplied Name: SeapHOx sensor

Supplied Description:

SeapHOx uses an integrated sensor package that consists of a Sea-Bird SBE-37 conductivity and temperature sensor, an Aanderaa oxygen optode, and a modified Honeywell Durafet pH electrode

Instrument Type

Generic Name: SeapHOx/SeaFET

Generic Description:

The SeapHOx and SeaFET are autonomous sensors originally designed and developed by the Todd Martz Lab at Scripps Institution of Oceanography. The SeaFET was designed to measure pH and temperature. The SeapHOx, designed later, combined the SeaFET with additional integrated sensors for dissolved oxygen and conductivity. Refer to Martz et al. 2010 (doi:10.4319/lom.2010.8.172).

The SeapHOx package is now produced by Sea-Bird Scientific and allows for integrated data collection of pH, temperature, salinity, and oxygen. Refer to Sea-Bird for specific model information.

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
Date_Matlab	Matlab date in unknown format	unitless	date
DateTime	DateTime in ISO format, UTC Zone Format: %Y-%m-%dT%H:%M:%SZ	unitless	ISO_DateTime_UTC
Latitude	Latitude sampling location, south is negative	decimal degrees	lat
Longitude	Longitude sampling location, west is negative	decimal degrees	lon
Temp_degC	Water temperature	degrees Celsius (°C)	temp
Salinity	Salinity	unitless	sal
pH_total	Total pH	unitless	pH
alkalinity_umol_kg	Alkalinity	micromole per Kilogram (umol/kg)	TALK
TCO2_umol_kg	Total dissolved inorganic carbon	micromole per Kilogram (umol/kg)	TCO2
pCO2_uatm	CO2 partial pressure	microatmospheres (uatm)	pCO2
War	Saturation state of aragonite	unitless	OM_ar
Deployment	Deployment 1 or deployment 2	unitless	deployno

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Dataset: High-Frequency CO2-system observations from a moored sensor in the York River