pH time-series from SAMI-pH and SeapHOx instruments during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016

Website: https://www.bco-dmo.org/dataset/870379
Data Type: Other Field Results, experimental
Version: 1
Version Date: 2022-03-01

Project
» A new tool for ocean carbon cycle and ocean acidification studies (Bermuda Biochem Timeseries)
ContributorsAffiliationRole
DeGrandpre, MichaelUniversity of MontanaPrincipal Investigator
Martz, Todd R.University of California-San Diego (UCSD-SIO)Co-Principal Investigator
Shangguan, QipeiUniversity of MontanaStudent, Contact
York, Amber D.Woods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This dataset contains pH time series simultaneously recorded by 4 pH sensors. Two of them were SAMI-pH, and the other two were SeapHOx. Data interval was 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).


Coverage

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

Methods & Sampling

This study used sensors (see Instrument description below) with quality control bottle samples. For bottle sample data and bottle analysis description, see Dataset "Inter-comparison 2016: Bottle Sample TA pH DIC" https://www.bco-dmo.org/dataset/870368

Instrument description:
This dataset has data from two SAMI-pHs (Sunburst Sensors, LLC; p66 and p87) (Seidel et al., 2008), two SeapHOx sensors (SP020 and SP032) (Bresnahan et al., 2014).
pH data have an interval of 15  mins.

 


Data Processing Description

Each sensor data was processed by its own 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 pH sensor.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


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Data Files

File
sami_seaphox_ph_2016.csv
(Comma Separated Values (.csv), 50.14 KB)
MD5:4629f59f0ba90d4f4a269cb3fd33eeea
Primary data file for dataset ID 870379

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Related Publications

Bresnahan, P. J., Martz, T. R., Takeshita, Y., Johnson, K. S., & LaShomb, M. (2014). Best practices for autonomous measurement of seawater pH with the Honeywell Durafet. Methods in Oceanography, 9, 44–60. doi:10.1016/j.mio.2014.08.003
Methods
Seidel, M. P., DeGrandpre, M. D., & Dickson, A. G. (2008). A sensor for in situ indicator-based measurements of seawater pH. Marine Chemistry, 109(1–2), 18–28. https://doi.org/10.1016/j.marchem.2007.11.013
Methods
Shangguan, Q., Prody, A., Wirth, T. S., Briggs, E. M., Martz, T. R., & DeGrandpre, M. D. (2022). An inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions. Marine Chemistry, 240, 104085. https://doi.org/10.1016/j.marchem.2022.104085
Results

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Related Datasets

IsRelatedTo
Shangguan, Q., DeGrandpre, M., Martz, T. R. (2022) 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. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-03-01 doi:10.26008/1912/bco-dmo.870390.1 [view at BCO-DMO]
Relationship Description: Data from different sensors in the same inter-comparison study of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions.
Shangguan, Q., DeGrandpre, M., Martz, T. R. (2022) A pCO2 time series from a SuperCO2 benchtop 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. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-03-01 doi:10.26008/1912/bco-dmo.870401.1 [view at BCO-DMO]
Relationship Description: Data from different sensors in the same inter-comparison study of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions.
Shangguan, Q., DeGrandpre, M., Martz, T. R. (2022) Bottle sample TA, pH, and DIC collected during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-03-01 doi:10.26008/1912/bco-dmo.870368.1 [view at BCO-DMO]
Relationship Description: Data from different sensors in the same inter-comparison study of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions.
Shangguan, Q., DeGrandpre, M., Martz, T. R. (2022) Temperature and salinity by a MicroCAT CTD during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-03-01 doi:10.26008/1912/bco-dmo.870412.1 [view at BCO-DMO]
Relationship Description: Data from different sensors in the same inter-comparison study of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions.
Shangguan, Q., DeGrandpre, M., Martz, T. R. (2022) Total alkalinity from SAMI-alks during an inter-comparison of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions at Scripps Institution of Oceanography in 2016. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-03-01 doi:10.26008/1912/bco-dmo.870352.1 [view at BCO-DMO]
Relationship Description: Data from different sensors in the same inter-comparison study of autonomous in situ instruments for ocean CO2 measurements under laboratory-controlled conditions.

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Parameters

ParameterDescriptionUnits
timeTimestamp with time zone (UTC) in ISO 8601 format YYYY-MM-DDThh:mmZ unitless
SAMIpH_p66pH from the SAMI-pH sensor unitless
SAMIpH_p87pH from the SAMI-pH sensor unitless
SeapHOx_SP032pH from the SeapHOx sensor unitless
SeapHOx_SP020pH from the SeapHOx sensor unitless


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Instruments

Dataset-specific Instrument Name
SAMI-pHs
Generic Instrument Name
pH Sensor
Dataset-specific Description
This table has data from two SAMI-pHs (Sunburst Sensors, LLC; p66 and p87) (Seidel et al., 2008).  SAMI=Submersible Autonomous Moored Instrument
Generic Instrument Description
An instrument that measures the hydrogen ion activity in solutions. The overall concentration of hydrogen ions is inversely related to its pH.  The pH scale ranges from 0 to 14 and indicates whether acidic (more H+) or basic (less H+). 

Dataset-specific Instrument Name
SeapHOx
Generic Instrument Name
pH Sensor
Dataset-specific Description
SeapHOx sensors (SP020 and SP032) (Bresnahan et al., 2014)
Generic Instrument Description
An instrument that measures the hydrogen ion activity in solutions. The overall concentration of hydrogen ions is inversely related to its pH.  The pH scale ranges from 0 to 14 and indicates whether acidic (more H+) or basic (less H+). 


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Project Information

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

Coverage: Bermuda


NSF abstract:
The ocean inorganic carbon system is of great interest to marine scientists, and indeed all people, because it contains important information about ocean productivity, the sources and sinks of anthropogenic carbon dioxide, and ocean acidification. Total alkalinity is one of the critical inorganic carbon parameters and has been widely measured through ship and laboratory-based methodologies. At this time, there are no commercially-available in situ sensors for total alkalinity. In this project, researchers at the University of Montana will further develop and test a new autonomous system, known as the SAMI-alk, for measuring total alkalinity. This new system will expand understanding of total alkalinity and the inorganic carbon cycle by making near continuous measurements in locations not frequented by ships. The development of this instrument will have important broader implications for the oceanographic community and ocean acidification research by providing a novel instrument for ocean research. This project will also provide training opportunities to graduate and undergraduate students, and will continue to support public outreach on ocean acidification through a university-affiliated museum.

Studies focused on the marine carbon cycle and ocean acidification pose a number of measurement challenges. While pH is the ocean acidification "smoking gun" and partial pressure of CO2 is critical for gas exchange calculations, the full inorganic carbon system must be quantified for most inorganic carbon studies. Using autonomous sensors to accurately and precisely quantify all of the inorganic carbon species has been a long-standing objective for marine biogeochemists, but full characterization of the inorganic carbon system has, until recently, been limited to ship and laboratory-based measurements. Total alkalinity is one such parameter as its research has been limited by the lack of instrument capable of making in situ measurements. This research will address this problem and advance inorganic carbon studies through the further development of an autonomous, in situ system to measure seawater total alkalinity, known as the submersible autonomous moored instrument for total alkalinity (SAMI-alk). Preliminary testing of the instrument showed great promise, and through this project, researchers will conduct lab experiments to improve its performance. Two new prototype instruments will be tested in laboratory and field evaluations.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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