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A climatology-based quality control procedure for profiling float oxygen data
Citation
Takeshita, Y and Martz, TR and Johnson, KS and Plant, JN and Gilbert, D and Riser, SC and Neill, C and Tilbrook, BD, A climatology-based quality control procedure for profiling float oxygen data, Journal of Geophysical Research, 118, (10) pp. 5640-5650. ISSN 2169-9291 (2013) [Refereed Article]
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Copyright Statement
Copyright 2013 American Geophysical Union
Abstract
Over 450 Argo profiling floats equipped with oxygen sensors have been deployed, but no quality control (QC) protocols have been adopted by the oceanographic community for use by Argo data centers. As a consequence, the growing float oxygen data set as a whole is not readily utilized for many types of biogeochemical studies. Here we present a simple procedure that can be used to correct first-order errors (offset and drift) in profiling float oxygen data by comparing float data to a monthly climatology (World Ocean Atlas 2009). Float specific correction terms for the entire array were calculated. This QC procedure was evaluated by (1) comparing the climatology-derived correction coefficients to those derived from discrete samples for 14 floats and (2) comparing correction coefficients for seven floats that had been calibrated twice prior to deployment (once in the factory and once in-house), with the second calibration ostensibly more accurate than the first. The corrections presented here constrain most float oxygen measurements to better than 3% at the surface.
Item Details
Item Type: | Refereed Article |
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Keywords: | dissolved oxygen, oxygen sensor, profiling float, quality control |
Research Division: | Earth Sciences |
Research Group: | Climate change science |
Research Field: | Climatology |
Objective Division: | Environmental Management |
Objective Group: | Air quality, atmosphere and weather |
Objective Field: | Air quality, atmosphere and weather not elsewhere classified |
UTAS Author: | Tilbrook, BD (Dr Bronte Tilbrook) |
ID Code: | 118959 |
Year Published: | 2013 |
Web of Science® Times Cited: | 66 |
Deposited By: | Zoology |
Deposited On: | 2017-07-24 |
Last Modified: | 2017-10-16 |
Downloads: | 129 View Download Statistics |
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