WilliamsEmpiricalAlgorithmstoEstimateSupportingInfo.pdf

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, R² , are 0.98 for pH from ni...

Full description

Bibliographic Details
Main Authors: 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.
Language:unknown
Subjects:
Online Access:https://ir.library.oregonstate.edu/concern/articles/mg74qn82w
id ftoregonstate:ir.library.oregonstate.edu:mg74qn82w
record_format openpolar
spelling ftoregonstate:ir.library.oregonstate.edu:mg74qn82w 2024-04-14T08:19:53+00:00 WilliamsEmpiricalAlgorithmstoEstimateSupportingInfo.pdf 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. https://ir.library.oregonstate.edu/concern/articles/mg74qn82w unknown https://ir.library.oregonstate.edu/concern/articles/mg74qn82w Copyright Not Evaluated ftoregonstate 2024-03-21T15:49:07Z 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, R² , 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. Other/Unknown Material Southern Ocean ScholarsArchive@OSU (Oregon State University) Southern Ocean Pacific
institution Open Polar
collection ScholarsArchive@OSU (Oregon State University)
op_collection_id ftoregonstate
language unknown
description 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, R² , 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.
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.
spellingShingle 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.
WilliamsEmpiricalAlgorithmstoEstimateSupportingInfo.pdf
author_facet 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.
author_sort Williams, N. L.
title WilliamsEmpiricalAlgorithmstoEstimateSupportingInfo.pdf
title_short WilliamsEmpiricalAlgorithmstoEstimateSupportingInfo.pdf
title_full WilliamsEmpiricalAlgorithmstoEstimateSupportingInfo.pdf
title_fullStr WilliamsEmpiricalAlgorithmstoEstimateSupportingInfo.pdf
title_full_unstemmed WilliamsEmpiricalAlgorithmstoEstimateSupportingInfo.pdf
title_sort williamsempiricalalgorithmstoestimatesupportinginfo.pdf
url https://ir.library.oregonstate.edu/concern/articles/mg74qn82w
geographic Southern Ocean
Pacific
geographic_facet Southern Ocean
Pacific
genre Southern Ocean
genre_facet Southern Ocean
op_relation https://ir.library.oregonstate.edu/concern/articles/mg74qn82w
op_rights Copyright Not Evaluated
_version_ 1796298030092124160