WilliamsEmpiricalAlgorithmstoEstimate.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...

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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.
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Online Access:https://ir.library.oregonstate.edu/concern/articles/dv13zw082
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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.
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.
collection ScholarsArchive@OSU (Oregon State University)
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.
genre Southern Ocean
genre_facet Southern Ocean
geographic Pacific
Southern Ocean
geographic_facet Pacific
Southern Ocean
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institution Open Polar
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op_collection_id ftoregonstate
op_relation https://ir.library.oregonstate.edu/concern/articles/dv13zw082
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spelling ftoregonstate:ir.library.oregonstate.edu:dv13zw082 2025-04-13T14:27:06+00:00 WilliamsEmpiricalAlgorithmstoEstimate.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/dv13zw082 unknown https://ir.library.oregonstate.edu/concern/articles/dv13zw082 Copyright Not Evaluated ftoregonstate 2025-03-18T01:59:21Z 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) Pacific Southern Ocean
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.
WilliamsEmpiricalAlgorithmstoEstimate.pdf
title WilliamsEmpiricalAlgorithmstoEstimate.pdf
title_full WilliamsEmpiricalAlgorithmstoEstimate.pdf
title_fullStr WilliamsEmpiricalAlgorithmstoEstimate.pdf
title_full_unstemmed WilliamsEmpiricalAlgorithmstoEstimate.pdf
title_short WilliamsEmpiricalAlgorithmstoEstimate.pdf
title_sort williamsempiricalalgorithmstoestimate.pdf
url https://ir.library.oregonstate.edu/concern/articles/dv13zw082