An evaluation of the performance of Sea-Bird Scientific’s SeaFET™ autonomous pH sensor: considerations for the broader oceanographic community.
The commercially available Sea-Bird SeaFET™ provides an accessible way for a broad community of researchers to study ocean acidification and obtain robust measurements of seawater pH via the use of an in situ autonomous sensor. There are pitfalls, however, that have been detailed in previous best pr...
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ftdatacite:10.25607/obp-424 2023-05-15T17:51:58+02:00 An evaluation of the performance of Sea-Bird Scientific’s SeaFET™ autonomous pH sensor: considerations for the broader oceanographic community. Miller, Cale A. Pocock, Katie Evans, Wiley Kelley, Amanda L. 2018 pp.751–768 https://dx.doi.org/10.25607/obp-424 https://www.oceanbestpractices.net/handle/11329/877 unknown UNESCO/IOC Creative Commons Attribution 4.0 International Attribution 4.0 https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY pH Parameter DisciplineChemical oceanography Instrument Type VocabularypH sensors CreativeWork article 2018 ftdatacite https://doi.org/10.25607/obp-424 2021-11-05T12:55:41Z The commercially available Sea-Bird SeaFET™ provides an accessible way for a broad community of researchers to study ocean acidification and obtain robust measurements of seawater pH via the use of an in situ autonomous sensor. There are pitfalls, however, that have been detailed in previous best practices for sensor care, deployment, and data handling. Here, we took advantage of two distinctly different coastal settings to evaluate the Sea-Bird SeaFET™ and examine the multitude of scenarios in which problems may arise confounding the accuracy of measured pH. High-resolution temporal measurements of pH were obtained during 3- to 5-month field deployments in three separate locations (two in south-central Alaska, USA, and one in British Columbia, Canada) spanning a broad range of nearshore temperature and salinity conditions. Both the internal and external electrodes onboard the SeaFET™ were evaluated against robust benchtop measurements for accuracy using the factory calibration, an in situ single-point calibration, or an in situ multi-point calibration. In addition, two sensors deployed in parallel in Kasitsna Bay, Alaska, USA, were compared for inter-sensor variability in order to quantify other factors contributing to the sensor’s intrinsic inaccuracies. Based on our results, the multi-point calibration method provided the highest accuracy (< 0.025 difference in pH) of pH when compared against benchtop measurements. Spectral analysis of time series data showed that during spring in Alaskan waters, a range of tidal frequencies dominated pH variability, while seasonal oceanographic conditions were the dominant driver in Canadian waters. Further, it is suggested that spectral analysis performed on initial deployments may be able to act as an a posteriori method to better identify appropriate calibration regimes. Based on this evaluation, we provide a comprehensive assessment of the potential sources of uncertainty associated with accuracy andprecision of the SeaFET™ electrodes. Article in Journal/Newspaper Ocean acidification Alaska DataCite Metadata Store (German National Library of Science and Technology) Canada British Columbia ENVELOPE(-125.003,-125.003,54.000,54.000) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
pH Parameter DisciplineChemical oceanography Instrument Type VocabularypH sensors |
spellingShingle |
pH Parameter DisciplineChemical oceanography Instrument Type VocabularypH sensors Miller, Cale A. Pocock, Katie Evans, Wiley Kelley, Amanda L. An evaluation of the performance of Sea-Bird Scientific’s SeaFET™ autonomous pH sensor: considerations for the broader oceanographic community. |
topic_facet |
pH Parameter DisciplineChemical oceanography Instrument Type VocabularypH sensors |
description |
The commercially available Sea-Bird SeaFET™ provides an accessible way for a broad community of researchers to study ocean acidification and obtain robust measurements of seawater pH via the use of an in situ autonomous sensor. There are pitfalls, however, that have been detailed in previous best practices for sensor care, deployment, and data handling. Here, we took advantage of two distinctly different coastal settings to evaluate the Sea-Bird SeaFET™ and examine the multitude of scenarios in which problems may arise confounding the accuracy of measured pH. High-resolution temporal measurements of pH were obtained during 3- to 5-month field deployments in three separate locations (two in south-central Alaska, USA, and one in British Columbia, Canada) spanning a broad range of nearshore temperature and salinity conditions. Both the internal and external electrodes onboard the SeaFET™ were evaluated against robust benchtop measurements for accuracy using the factory calibration, an in situ single-point calibration, or an in situ multi-point calibration. In addition, two sensors deployed in parallel in Kasitsna Bay, Alaska, USA, were compared for inter-sensor variability in order to quantify other factors contributing to the sensor’s intrinsic inaccuracies. Based on our results, the multi-point calibration method provided the highest accuracy (< 0.025 difference in pH) of pH when compared against benchtop measurements. Spectral analysis of time series data showed that during spring in Alaskan waters, a range of tidal frequencies dominated pH variability, while seasonal oceanographic conditions were the dominant driver in Canadian waters. Further, it is suggested that spectral analysis performed on initial deployments may be able to act as an a posteriori method to better identify appropriate calibration regimes. Based on this evaluation, we provide a comprehensive assessment of the potential sources of uncertainty associated with accuracy andprecision of the SeaFET™ electrodes. |
format |
Article in Journal/Newspaper |
author |
Miller, Cale A. Pocock, Katie Evans, Wiley Kelley, Amanda L. |
author_facet |
Miller, Cale A. Pocock, Katie Evans, Wiley Kelley, Amanda L. |
author_sort |
Miller, Cale A. |
title |
An evaluation of the performance of Sea-Bird Scientific’s SeaFET™ autonomous pH sensor: considerations for the broader oceanographic community. |
title_short |
An evaluation of the performance of Sea-Bird Scientific’s SeaFET™ autonomous pH sensor: considerations for the broader oceanographic community. |
title_full |
An evaluation of the performance of Sea-Bird Scientific’s SeaFET™ autonomous pH sensor: considerations for the broader oceanographic community. |
title_fullStr |
An evaluation of the performance of Sea-Bird Scientific’s SeaFET™ autonomous pH sensor: considerations for the broader oceanographic community. |
title_full_unstemmed |
An evaluation of the performance of Sea-Bird Scientific’s SeaFET™ autonomous pH sensor: considerations for the broader oceanographic community. |
title_sort |
evaluation of the performance of sea-bird scientific’s seafet™ autonomous ph sensor: considerations for the broader oceanographic community. |
publisher |
UNESCO/IOC |
publishDate |
2018 |
url |
https://dx.doi.org/10.25607/obp-424 https://www.oceanbestpractices.net/handle/11329/877 |
long_lat |
ENVELOPE(-125.003,-125.003,54.000,54.000) |
geographic |
Canada British Columbia |
geographic_facet |
Canada British Columbia |
genre |
Ocean acidification Alaska |
genre_facet |
Ocean acidification Alaska |
op_rights |
Creative Commons Attribution 4.0 International Attribution 4.0 https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.25607/obp-424 |
_version_ |
1766159256834277376 |