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...
Published in: | Frontiers in Marine Science |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://pure.uhi.ac.uk/en/publications/efc8a823-fc2c-4d22-acc5-0331d836e16c https://doi.org/10.3389/fmars.2022.976771 https://pureadmin.uhi.ac.uk/ws/files/26819949/fmars_09_976771_1.pdf https://www.frontiersin.org/articles/10.3389/fmars.2022.976771/full |
id |
ftuhipublicatio:oai:pure.atira.dk:publications/efc8a823-fc2c-4d22-acc5-0331d836e16c |
---|---|
record_format |
openpolar |
spelling |
ftuhipublicatio:oai:pure.atira.dk:publications/efc8a823-fc2c-4d22-acc5-0331d836e16c 2024-01-28T10:09:07+01:00 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://pure.uhi.ac.uk/en/publications/efc8a823-fc2c-4d22-acc5-0331d836e16c https://doi.org/10.3389/fmars.2022.976771 https://pureadmin.uhi.ac.uk/ws/files/26819949/fmars_09_976771_1.pdf https://www.frontiersin.org/articles/10.3389/fmars.2022.976771/full eng eng info:eu-repo/semantics/openAccess Marlowe , C , Hyder , K , Sayer , M D J & Kaiser , J 2022 , ' Citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the Red Sea ' , Frontiers in Marine Science , vol. 9 , 976771 . https://doi.org/10.3389/fmars.2022.976771 citizen science dive computer sea temperature Red Sea satellite in situ comparison article 2022 ftuhipublicatio https://doi.org/10.3389/fmars.2022.976771 2024-01-04T23:21:30Z 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 the Highlands and Islands: Research Database of UHI Frontiers in Marine Science 9 |
institution |
Open Polar |
collection |
University of the Highlands and Islands: Research Database of UHI |
op_collection_id |
ftuhipublicatio |
language |
English |
topic |
citizen science dive computer sea temperature Red Sea satellite in situ comparison |
spellingShingle |
citizen science dive computer sea temperature Red Sea satellite in situ comparison Marlowe, Celia Hyder, Kieran Sayer, Martin D. J. Kaiser, Jan Citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the Red Sea |
topic_facet |
citizen science dive computer sea temperature Red Sea satellite in situ comparison |
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 |
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://pure.uhi.ac.uk/en/publications/efc8a823-fc2c-4d22-acc5-0331d836e16c https://doi.org/10.3389/fmars.2022.976771 https://pureadmin.uhi.ac.uk/ws/files/26819949/fmars_09_976771_1.pdf https://www.frontiersin.org/articles/10.3389/fmars.2022.976771/full |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Marlowe , C , Hyder , K , Sayer , M D J & Kaiser , J 2022 , ' Citizen scientists’ dive computers resolve seasonal and interannual temperature variations in the Red Sea ' , Frontiers in Marine Science , vol. 9 , 976771 . https://doi.org/10.3389/fmars.2022.976771 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3389/fmars.2022.976771 |
container_title |
Frontiers in Marine Science |
container_volume |
9 |
_version_ |
1789338705376313344 |