Observation-based Sea surface temperature trends in Atlantic large marine ecosystems
Variations in Sea Surface Temperature (SST) are an important driver of marine species abundance in Large Marine Ecosystems (LMEs). Studies concerned with climate change induced SST trends within these LMEs have so far been relying on satellite data and reanalysis products, with the disadvantages of...
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ftnorce:oai:norceresearch.brage.unit.no:11250/3061115 2023-05-15T17:31:38+02:00 Observation-based Sea surface temperature trends in Atlantic large marine ecosystems Kessler, Augustin Goris, Nadine Lauvset, Siv Kari 2022 application/pdf https://hdl.handle.net/11250/3061115 https://doi.org/10.1016/j.pocean.2022.102902 eng eng EC/H2020/863034 urn:issn:0079-6611 https://hdl.handle.net/11250/3061115 https://doi.org/10.1016/j.pocean.2022.102902 cristin:2055737 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © 2022 The Author(s) Progress in Oceanography 208 Marine økosystemfunkjoner Marine ecosystem functions VDP::Matematikk og naturvitenskap: 400 VDP::Mathematics and natural scienses: 400 Peer reviewed Journal article 2022 ftnorce https://doi.org/10.1016/j.pocean.2022.102902 2023-04-05T22:47:56Z Variations in Sea Surface Temperature (SST) are an important driver of marine species abundance in Large Marine Ecosystems (LMEs). Studies concerned with climate change induced SST trends within these LMEs have so far been relying on satellite data and reanalysis products, with the disadvantages of only having short time-periods available and having to rely on the ability of the models to correctly simulate SST-dynamics, respectively. Here, we provide for the first time a long-term trend analysis of SST for 17 LMEs of the Atlantic Ocean over two different time-periods (1957–2020 and 1980–2020) based on in-situ data gathered from three data collections. We sort our results according to warming categories that were established in an earlier study, i.e., “cooling” (below 0 °C/dec), “slow” (0–0.07 °C/dec), “moderate” (0.07–0.14 °C/dec), “fast” (0.14–0.21 °C/dec) and “superfast” (above 0.21 °C/dec). Our results show a persistent “slow” to “superfast” warming in all considered LMEs. However, the sparse data coverage induces large uncertainties, so that many LMEs cannot uniquely be assigned to one warming category only. We detect no systematic changes in the seasonal SST amplitude of the considered LMEs. We find that the LMEs of the North Atlantic warm faster than those of the South Atlantic and that this difference is increasing with time. Out of the North Atlantic LMEs, the Norwegian Sea, North Sea, Celtic-Biscay Shelf, Gulf of Mexico and the Northeast U.S. Continental Shelf belong exclusively to the superfast warming category for the period 1980–2020. publishedVersion Article in Journal/Newspaper North Atlantic Norwegian Sea NORCE vitenarkiv (Norwegian Research Centre) Norwegian Sea Progress in Oceanography 208 102902 |
institution |
Open Polar |
collection |
NORCE vitenarkiv (Norwegian Research Centre) |
op_collection_id |
ftnorce |
language |
English |
topic |
Marine økosystemfunkjoner Marine ecosystem functions VDP::Matematikk og naturvitenskap: 400 VDP::Mathematics and natural scienses: 400 |
spellingShingle |
Marine økosystemfunkjoner Marine ecosystem functions VDP::Matematikk og naturvitenskap: 400 VDP::Mathematics and natural scienses: 400 Kessler, Augustin Goris, Nadine Lauvset, Siv Kari Observation-based Sea surface temperature trends in Atlantic large marine ecosystems |
topic_facet |
Marine økosystemfunkjoner Marine ecosystem functions VDP::Matematikk og naturvitenskap: 400 VDP::Mathematics and natural scienses: 400 |
description |
Variations in Sea Surface Temperature (SST) are an important driver of marine species abundance in Large Marine Ecosystems (LMEs). Studies concerned with climate change induced SST trends within these LMEs have so far been relying on satellite data and reanalysis products, with the disadvantages of only having short time-periods available and having to rely on the ability of the models to correctly simulate SST-dynamics, respectively. Here, we provide for the first time a long-term trend analysis of SST for 17 LMEs of the Atlantic Ocean over two different time-periods (1957–2020 and 1980–2020) based on in-situ data gathered from three data collections. We sort our results according to warming categories that were established in an earlier study, i.e., “cooling” (below 0 °C/dec), “slow” (0–0.07 °C/dec), “moderate” (0.07–0.14 °C/dec), “fast” (0.14–0.21 °C/dec) and “superfast” (above 0.21 °C/dec). Our results show a persistent “slow” to “superfast” warming in all considered LMEs. However, the sparse data coverage induces large uncertainties, so that many LMEs cannot uniquely be assigned to one warming category only. We detect no systematic changes in the seasonal SST amplitude of the considered LMEs. We find that the LMEs of the North Atlantic warm faster than those of the South Atlantic and that this difference is increasing with time. Out of the North Atlantic LMEs, the Norwegian Sea, North Sea, Celtic-Biscay Shelf, Gulf of Mexico and the Northeast U.S. Continental Shelf belong exclusively to the superfast warming category for the period 1980–2020. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Kessler, Augustin Goris, Nadine Lauvset, Siv Kari |
author_facet |
Kessler, Augustin Goris, Nadine Lauvset, Siv Kari |
author_sort |
Kessler, Augustin |
title |
Observation-based Sea surface temperature trends in Atlantic large marine ecosystems |
title_short |
Observation-based Sea surface temperature trends in Atlantic large marine ecosystems |
title_full |
Observation-based Sea surface temperature trends in Atlantic large marine ecosystems |
title_fullStr |
Observation-based Sea surface temperature trends in Atlantic large marine ecosystems |
title_full_unstemmed |
Observation-based Sea surface temperature trends in Atlantic large marine ecosystems |
title_sort |
observation-based sea surface temperature trends in atlantic large marine ecosystems |
publishDate |
2022 |
url |
https://hdl.handle.net/11250/3061115 https://doi.org/10.1016/j.pocean.2022.102902 |
geographic |
Norwegian Sea |
geographic_facet |
Norwegian Sea |
genre |
North Atlantic Norwegian Sea |
genre_facet |
North Atlantic Norwegian Sea |
op_source |
Progress in Oceanography 208 |
op_relation |
EC/H2020/863034 urn:issn:0079-6611 https://hdl.handle.net/11250/3061115 https://doi.org/10.1016/j.pocean.2022.102902 cristin:2055737 |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no © 2022 The Author(s) |
op_doi |
https://doi.org/10.1016/j.pocean.2022.102902 |
container_title |
Progress in Oceanography |
container_volume |
208 |
container_start_page |
102902 |
_version_ |
1766129298756861952 |