Empirical algorithms to estimate water column pH in the Southern Ocean Public Deposited

http://ir.library.oregonstate.edu/concern/articles/ft848s17s

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.

To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The article is copyrighted by the American Geophysical Union and published by Joh Wiley & Sons, Inc. It can be found at:  http://agupubs.onlinelibrary.wiley.com/agu/journal/10.1002/%28ISSN%291944-8007/

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  • 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.
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  • Williams, N. L., Juranek, L. W., Johnson, K. S., Feely, R. A., Riser, S. C., Talley, L. D., ... & Wanninkhof, R. (2016). Empirical algorithms to estimate water column pH in the Southern Ocean. Geophysical Research Letters, 43(7), 3415-3422. doi:10.1002/2016GL068539
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2016-06-29T18:23:22Z (GMT) No. of bitstreams: 2 WilliamsEmpiricalAlgorithmstoEstimate.pdf: 690188 bytes, checksum: cee66d8888270ae0c0f4406ace8df8e6 (MD5) WilliamsEmpiricalAlgorithmstoEstimateSupportingInfo.pdf: 608927 bytes, checksum: a8af146f4387b392a7555c70c39e194f (MD5)
  • description.provenance : Made available in DSpace on 2016-06-29T18:23:22Z (GMT). No. of bitstreams: 2 WilliamsEmpiricalAlgorithmstoEstimate.pdf: 690188 bytes, checksum: cee66d8888270ae0c0f4406ace8df8e6 (MD5) WilliamsEmpiricalAlgorithmstoEstimateSupportingInfo.pdf: 608927 bytes, checksum: a8af146f4387b392a7555c70c39e194f (MD5) Previous issue date: 2016-04-16
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