Document Type

Data

Department/Program

Virginia Institute of Marine Science

Publication Date

2019

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.

DOI

https://doi.org/10.25773/63nx-vz39

Keywords

CO2-system; pH; estuarine acidification; SeapHOx

Associated Publications

Shadwick, E.H., Friedrichs, M.A.M., Najjar, R.G., De Meo, O.A., Friedman, J.R., Da, F. and Reay, W.G (2019) High-frequency CO2-system variability over the winter-to-spring transition in a large coastal plain estuary, J. Geophys. Res. – Oceans – in revision August 2019.

Funding

This research was funded by the National Science Foundation (grant #OCE-1537013 and OCE-1536996) and supported by the NOAA Chesapeake Bay Office and the Chesapeake Bay Interpretive Buoy System (CBIBS).

YR_buoy_D1.csv (19 kB)
Deployment 1 data

YR_buoy_D2.csv (19 kB)
Deployment 2 data

Included in

Oceanography Commons

Share

COinS