Document Type
Data
Department/Program
Virginia Institute of Marine Science
Publication Date
2019
Data Access
Data files available below.
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, Journal Geophysical Research Oceans
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).
Recommended Citation
Shadwick, Elizabeth H. and De Meo, Olivia A., "High-frequency CO2-system observations from a moored sensor in the York River" (2019). Data. William & Mary.
https://doi.org/10.25773/63nx-vz39
