Empirical algorithms to estimate water column pH in the Southern Ocean

Persistent Link:
http://hdl.handle.net/10150/614732
Title:
Empirical algorithms to estimate water column pH in the Southern Ocean
Author:
Williams, N. L.; Juranek, L. W.; Johnson, K. S.; Feely, R. A.; Riser, S. C.; Talley, L. D.; Russell, J. L.; Sarmiento, J. L.; Wanninkhof, R.
Affiliation:
Univ Arizona, Dept Geosci
Issue Date:
2016-04-16
Publisher:
AMER GEOPHYSICAL UNION
Citation:
Empirical algorithms to estimate water column pH in the Southern Ocean 2016, 43 (7):3415 Geophysical Research Letters
Journal:
Geophysical Research Letters
Rights:
©2016. American Geophysical Union. All Rights Reserved.
Collection Information:
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
Abstract:
Empirical algorithms are developed using high-quality GO-SHIP hydrographic measurements of commonly measured parameters (temperature, salinity, pressure, nitrate, and oxygen) that estimate pH in the Pacific sector of the Southern Ocean. The coefficients of determination, R-2, are 0.98 for pH from nitrate (pH(N)) and 0.97 for pH from oxygen (pH(Ox)) with RMS errors of 0.010 and 0.008, respectively. These algorithms are applied to Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) biogeochemical profiling floats, which include novel sensors (pH, nitrate, oxygen, fluorescence, and backscatter). These algorithms are used to estimate pH on floats with no pH sensors and to validate and adjust pH sensor data from floats with pH sensors. The adjusted float data provide, for the first time, seasonal cycles in surface pH on weekly resolution that range from 0.05 to 0.08 on weekly resolution for the Pacific sector of the Southern Ocean.
Note:
Embargo "Publisher's version/PDF must be used in Institutional Repository 6 months after publication."
ISSN:
00948276
DOI:
10.1002/2016GL068539
Keywords:
ANTHROPOGENIC CARBON; SEAWATER; CO2; ACIDIFICATION; ACIDIFICATION; ALKALINITY
Version:
Final published version
Sponsors:
The measurement methods, calibration, and quality control for all discrete bottle data used in this study are available at http://cchdo.ucsd.edu, and all SOCCOM float data are available at http://soccom.princeton.edu/soccomviz.php. This work was sponsored by the U.S. National Science Foundation's Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Project under the NSF Award PLR-1425989. Logistical support for this project in Antarctic waters was provided by the U.S. National Science Foundation through the U.S. Antarctic Program. Additionally, we acknowledge support from U.S. Argo through NOAA/JISAO grant NA17RJ1232 to the University of Washington. Nancy Williams is also supported by the ARCS Foundation Portland Chapter. This is PMEL contribution 4417.
Additional Links:
http://doi.wiley.com/10.1002/2016GL068539

Full metadata record

DC FieldValue Language
dc.contributor.authorWilliams, N. L.en
dc.contributor.authorJuranek, L. W.en
dc.contributor.authorJohnson, K. S.en
dc.contributor.authorFeely, R. A.en
dc.contributor.authorRiser, S. C.en
dc.contributor.authorTalley, L. D.en
dc.contributor.authorRussell, J. L.en
dc.contributor.authorSarmiento, J. L.en
dc.contributor.authorWanninkhof, R.en
dc.date.accessioned2016-06-24T22:17:04Z-
dc.date.available2016-06-24T22:17:04Z-
dc.date.issued2016-04-16-
dc.identifier.citationEmpirical algorithms to estimate water column pH in the Southern Ocean 2016, 43 (7):3415 Geophysical Research Lettersen
dc.identifier.issn00948276-
dc.identifier.doi10.1002/2016GL068539-
dc.identifier.urihttp://hdl.handle.net/10150/614732-
dc.description.abstractEmpirical algorithms are developed using high-quality GO-SHIP hydrographic measurements of commonly measured parameters (temperature, salinity, pressure, nitrate, and oxygen) that estimate pH in the Pacific sector of the Southern Ocean. The coefficients of determination, R-2, are 0.98 for pH from nitrate (pH(N)) and 0.97 for pH from oxygen (pH(Ox)) with RMS errors of 0.010 and 0.008, respectively. These algorithms are applied to Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) biogeochemical profiling floats, which include novel sensors (pH, nitrate, oxygen, fluorescence, and backscatter). These algorithms are used to estimate pH on floats with no pH sensors and to validate and adjust pH sensor data from floats with pH sensors. The adjusted float data provide, for the first time, seasonal cycles in surface pH on weekly resolution that range from 0.05 to 0.08 on weekly resolution for the Pacific sector of the Southern Ocean.en
dc.description.sponsorshipThe measurement methods, calibration, and quality control for all discrete bottle data used in this study are available at http://cchdo.ucsd.edu, and all SOCCOM float data are available at http://soccom.princeton.edu/soccomviz.php. This work was sponsored by the U.S. National Science Foundation's Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Project under the NSF Award PLR-1425989. Logistical support for this project in Antarctic waters was provided by the U.S. National Science Foundation through the U.S. Antarctic Program. Additionally, we acknowledge support from U.S. Argo through NOAA/JISAO grant NA17RJ1232 to the University of Washington. Nancy Williams is also supported by the ARCS Foundation Portland Chapter. This is PMEL contribution 4417.en
dc.language.isoenen
dc.publisherAMER GEOPHYSICAL UNIONen
dc.relation.urlhttp://doi.wiley.com/10.1002/2016GL068539en
dc.rights©2016. American Geophysical Union. All Rights Reserved.en
dc.subjectANTHROPOGENIC CARBONen
dc.subjectSEAWATERen
dc.subjectCO2en
dc.subjectACIDIFICATIONen
dc.subjectACIDIFICATIONen
dc.subjectALKALINITYen
dc.titleEmpirical algorithms to estimate water column pH in the Southern Oceanen
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Dept Geoscien
dc.identifier.journalGeophysical Research Lettersen
dc.description.noteEmbargo "Publisher's version/PDF must be used in Institutional Repository 6 months after publication."en
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
dc.contributor.institutionCollege of Earth, Ocean, and Atmospheric Sciences; Oregon State University; Corvallis Oregon USA-
dc.contributor.institutionCollege of Earth, Ocean, and Atmospheric Sciences; Oregon State University; Corvallis Oregon USA-
dc.contributor.institutionMonterey Bay Aquarium Research Institute; Moss Landing California USA-
dc.contributor.institutionPacific Marine Environmental Laboratory; National Oceanic and Atmospheric Administration; Seattle Washington USA-
dc.contributor.institutionSchool of Oceanography; University of Washington; Seattle Washington USA-
dc.contributor.institutionScripps Institution of Oceanography; University of California, San Diego; La Jolla California USA-
dc.contributor.institutionDepartment of Geosciences; University of Arizona; Tucson Arizona USA-
dc.contributor.institutionProgram in Atmospheric and Oceanic Sciences; Princeton University; Princeton New Jersey USA-
dc.contributor.institutionAtlantic Oceanographic and Meteorological Laboratory; National Oceanic and Atmospheric Administration; Miami Florida USA-
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