Citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the Red Sea

Dive computers have the potential to provide depth resolved temperature data that is often lacking especially in close to shore, but spatiotemporal assessment of the robustness of this citizen science approach has not been done. In this study, we provide this assessment for the Red Sea, one of the m...

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Published in:Frontiers in Marine Science
Main Authors: Marlowe, Celia, Hyder, Kieran, Sayer, Martin D. J., Kaiser, Jan
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:https://ueaeprints.uea.ac.uk/id/eprint/91986/
https://ueaeprints.uea.ac.uk/id/eprint/91986/1/fmars_09_976771.pdf
https://doi.org/10.3389/fmars.2022.976771
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spelling ftuniveastangl:oai:ueaeprints.uea.ac.uk:91986 2023-06-11T04:16:36+02:00 Citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the Red Sea Marlowe, Celia Hyder, Kieran Sayer, Martin D. J. Kaiser, Jan 2022-09-29 application/pdf https://ueaeprints.uea.ac.uk/id/eprint/91986/ https://ueaeprints.uea.ac.uk/id/eprint/91986/1/fmars_09_976771.pdf https://doi.org/10.3389/fmars.2022.976771 en eng https://ueaeprints.uea.ac.uk/id/eprint/91986/1/fmars_09_976771.pdf Marlowe, Celia, Hyder, Kieran, Sayer, Martin D. J. and Kaiser, Jan (2022) Citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the Red Sea. Frontiers in Marine Science, 9. ISSN 2296-7745 doi:10.3389/fmars.2022.976771 cc_by Article PeerReviewed 2022 ftuniveastangl https://doi.org/10.3389/fmars.2022.976771 2023-05-04T22:31:47Z Dive computers have the potential to provide depth resolved temperature data that is often lacking especially in close to shore, but spatiotemporal assessment of the robustness of this citizen science approach has not been done. In this study, we provide this assessment for the Red Sea, one of the most dived areas in the world. A comparison was conducted between 17 years of minimum water temperatures collected from SCUBA dive computers in the northern Red Sea (23–30° N, 32–39.4° E), satellite-derived sea surface temperatures from the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) optimal interpolation product, and depth-banded monthly mean in-situ temperature from the TEMPERSEA dataset, which incorporates data originating from several in-situ recording platforms (including Argo floats, ships and gliders). We show that dive computer temperature data clearly resolve seasonal patterns, which are in good agreement in both phase and amplitude with OSTIA and TEMPERSEA. On average, dive computer temperatures had an overall negative bias of (–0.5 ± 1.1) °C compared with OSTIA and (–0.2 ± 1.4) °C compared with TEMPERSEA. As may be expected, increased depth-related biases were found to be associated with stratified periods and shallower mixed layer depths, i.e., stronger vertical temperature gradients. A south-north temperature gradient consistent with values reported in the literature was also identifiable. Bias remains consistent even when subsampling just 1% of the total 9310 dive computer datapoints. We conclude that dive computers offer potential as an alternative source of depth-resolved temperatures to complement existing in situ and satellite SST data sources. Article in Journal/Newspaper Sea ice University of East Anglia: UEA Digital Repository Frontiers in Marine Science 9
institution Open Polar
collection University of East Anglia: UEA Digital Repository
op_collection_id ftuniveastangl
language English
description Dive computers have the potential to provide depth resolved temperature data that is often lacking especially in close to shore, but spatiotemporal assessment of the robustness of this citizen science approach has not been done. In this study, we provide this assessment for the Red Sea, one of the most dived areas in the world. A comparison was conducted between 17 years of minimum water temperatures collected from SCUBA dive computers in the northern Red Sea (23–30° N, 32–39.4° E), satellite-derived sea surface temperatures from the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) optimal interpolation product, and depth-banded monthly mean in-situ temperature from the TEMPERSEA dataset, which incorporates data originating from several in-situ recording platforms (including Argo floats, ships and gliders). We show that dive computer temperature data clearly resolve seasonal patterns, which are in good agreement in both phase and amplitude with OSTIA and TEMPERSEA. On average, dive computer temperatures had an overall negative bias of (–0.5 ± 1.1) °C compared with OSTIA and (–0.2 ± 1.4) °C compared with TEMPERSEA. As may be expected, increased depth-related biases were found to be associated with stratified periods and shallower mixed layer depths, i.e., stronger vertical temperature gradients. A south-north temperature gradient consistent with values reported in the literature was also identifiable. Bias remains consistent even when subsampling just 1% of the total 9310 dive computer datapoints. We conclude that dive computers offer potential as an alternative source of depth-resolved temperatures to complement existing in situ and satellite SST data sources.
format Article in Journal/Newspaper
author Marlowe, Celia
Hyder, Kieran
Sayer, Martin D. J.
Kaiser, Jan
spellingShingle Marlowe, Celia
Hyder, Kieran
Sayer, Martin D. J.
Kaiser, Jan
Citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the Red Sea
author_facet Marlowe, Celia
Hyder, Kieran
Sayer, Martin D. J.
Kaiser, Jan
author_sort Marlowe, Celia
title Citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the Red Sea
title_short Citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the Red Sea
title_full Citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the Red Sea
title_fullStr Citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the Red Sea
title_full_unstemmed Citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the Red Sea
title_sort citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the red sea
publishDate 2022
url https://ueaeprints.uea.ac.uk/id/eprint/91986/
https://ueaeprints.uea.ac.uk/id/eprint/91986/1/fmars_09_976771.pdf
https://doi.org/10.3389/fmars.2022.976771
genre Sea ice
genre_facet Sea ice
op_relation https://ueaeprints.uea.ac.uk/id/eprint/91986/1/fmars_09_976771.pdf
Marlowe, Celia, Hyder, Kieran, Sayer, Martin D. J. and Kaiser, Jan (2022) Citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the Red Sea. Frontiers in Marine Science, 9. ISSN 2296-7745
doi:10.3389/fmars.2022.976771
op_rights cc_by
op_doi https://doi.org/10.3389/fmars.2022.976771
container_title Frontiers in Marine Science
container_volume 9
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