Dataset: Inter-comparison 2016: SAMI-CO2 pCO2

Name: A pCO2 time series from a SAMI-CO2 instrument during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016
Published: 2022-03-01
Keywords: oceans

Cite This Dataset

DOI:10.26008/1912/bco-dmo.870390.1

Temporal Extent: 2016-08-16 - 2016-08-27

Project:

A new tool for ocean carbon cycle and ocean acidification studies (Bermuda Biochem Timeseries)

Principal Investigator:

Michael DeGrandpre (University of Montana)

Co-Principal Investigator:

Todd R. Martz (University of California-San Diego, UCSD-SIO)

Student:

Qipei Shangguan (University of Montana)

Contact:

Qipei Shangguan (University of Montana)

BCO-DMO Data Manager:

Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2022-03-01

Restricted:

Validated:

Yes

Current State:

Final no updates expected

A pCO2 time series from a SAMI-CO2 instrument during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016

Abstract:

This dataset contains a pCO2 time series from a SAMI-CO2 instrument with a frequency of 15 min. These data were part of an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in August of 2016. These data were published in Shangguan et al. (2022).

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Archival Copy

Version Date	Archive	Persistent Identifier	Date Assigned
2022-03-01	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.26008/1912/bco-dmo.870390.1	2022-03-11

Methods & Sampling

An in situ sensor for pCO2 (Sunburst Sensors, LLC; SAMI-CO2) (DeGrandpre et al., 1995) was deployed at a 15-min measurement frequency.

Data Processing Description

Sensor data was processed by a custom-written Matlab script. MATLAB scripts convert raw data, which are optical intensities or voltages along with temperature and salinity, into their respective carbonate parameters.

BCO-DMO Data Manager Processing Notes:
* Data from source file "2016 SAMI-CO2.xlsx" Sheet1 were imported into the BCO-DMO data system.
* Parameters (column names) renamed to comply with BCO-DMO naming conventions. See https://www.bco-dmo.org/page/bco-dmo-data-processing-conventions

Data Files

File
sami_pco2.csv (Comma Separated Values (.csv), 25.87 KB) MD5:ba5e67a3cc227292213f1576872410e3 Primary data file for dataset ID 870390

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1459255

Deployments

None available yet

Instruments

pCO2 Sensor

Supplied Name: SAMI-CO2

Supplied Description:

An in situ sensor for pCO₂ (Sunburst Sensors, LLC; SAMI-CO₂) (DeGrandpre et al., 1995) was deployed at a 15-min measurement frequency. SAMI=Submersible Autonomous Moored Instrument

Instrument Type

Generic Name: pCO2 Sensor

Generic Description:

A sensor that measures the partial pressure of CO2 in water (pCO2)

Parameters

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

Supplied Name	Supplied description	Supplied Units	Standard Name
time	Timestamp with time zone (UTC) in ISO 8601 format YYYY-MM-DDThh:mmZ Format: %Y-%m-%dT%H:%MZ	unitless	ISO_DateTime_UTC
SAMI_CO2	O2 partial pressure from the SAMI-CO2 sensor	microatmospheres (uatm)	pCO2

Database

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Dataset: Inter-comparison 2016: SAMI-CO2 pCO2