Clustering to Characterize Extreme Marine Conditions for the Benthic Region of the Northeastern Pacific Continental Margin
Abstract Anthropogenic CO2 emissions lead to ocean warming, deoxygenation and acidification. Superimposed on long‐term trends are episodic extremes of temperature, oxygen, and acidity. Here we present an innovative method for assessing single and compound extremes using a high‐resolution regional mo...
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| Format: | Article |
| Language: | English |
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Wiley
2025-05-01
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| Series: | Geophysical Research Letters |
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| Online Access: | https://doi.org/10.1029/2024GL112591 |
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| author | Amber M. Holdsworth Andrew Shao James R. Christian |
| author_facet | Amber M. Holdsworth Andrew Shao James R. Christian |
| author_sort | Amber M. Holdsworth |
| collection | DOAJ |
| description | Abstract Anthropogenic CO2 emissions lead to ocean warming, deoxygenation and acidification. Superimposed on long‐term trends are episodic extremes of temperature, oxygen, and acidity. Here we present an innovative method for assessing single and compound extremes using a high‐resolution regional model of the Northeastern Pacific Ocean. We use an unsupervised clustering approach to identify regions with similar habitat characteristics near the seafloor, define extreme thresholds seasonally using a fixed baseline (1996–2020) within each cluster, and quantify the fraction of ocean waters that exceed these thresholds for both single and compound stressors. Compound extremes (most commonly of O2 and acidification) are rare but show an increasing trend in some clusters. Potential predictability of occurrence of extremes is demonstrated by correlation with basin‐scale climate variability. |
| format | Article |
| id | doaj-art-cfe2fc389395421d95e4bf04ded5e44c |
| institution | Kabale University |
| issn | 0094-8276 1944-8007 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geophysical Research Letters |
| spelling | doaj-art-cfe2fc389395421d95e4bf04ded5e44c2025-08-20T03:26:38ZengWileyGeophysical Research Letters0094-82761944-80072025-05-015210n/an/a10.1029/2024GL112591Clustering to Characterize Extreme Marine Conditions for the Benthic Region of the Northeastern Pacific Continental MarginAmber M. Holdsworth0Andrew Shao1James R. Christian2Fisheries and Oceans Canada Victoria BC CanadaHewlett Packard Enterprise Victoria BC CanadaFisheries and Oceans Canada Victoria BC CanadaAbstract Anthropogenic CO2 emissions lead to ocean warming, deoxygenation and acidification. Superimposed on long‐term trends are episodic extremes of temperature, oxygen, and acidity. Here we present an innovative method for assessing single and compound extremes using a high‐resolution regional model of the Northeastern Pacific Ocean. We use an unsupervised clustering approach to identify regions with similar habitat characteristics near the seafloor, define extreme thresholds seasonally using a fixed baseline (1996–2020) within each cluster, and quantify the fraction of ocean waters that exceed these thresholds for both single and compound stressors. Compound extremes (most commonly of O2 and acidification) are rare but show an increasing trend in some clusters. Potential predictability of occurrence of extremes is demonstrated by correlation with basin‐scale climate variability.https://doi.org/10.1029/2024GL112591ocean modelingextremesPacific oceanmachine learningacidificationdeoxygenation |
| spellingShingle | Amber M. Holdsworth Andrew Shao James R. Christian Clustering to Characterize Extreme Marine Conditions for the Benthic Region of the Northeastern Pacific Continental Margin Geophysical Research Letters ocean modeling extremes Pacific ocean machine learning acidification deoxygenation |
| title | Clustering to Characterize Extreme Marine Conditions for the Benthic Region of the Northeastern Pacific Continental Margin |
| title_full | Clustering to Characterize Extreme Marine Conditions for the Benthic Region of the Northeastern Pacific Continental Margin |
| title_fullStr | Clustering to Characterize Extreme Marine Conditions for the Benthic Region of the Northeastern Pacific Continental Margin |
| title_full_unstemmed | Clustering to Characterize Extreme Marine Conditions for the Benthic Region of the Northeastern Pacific Continental Margin |
| title_short | Clustering to Characterize Extreme Marine Conditions for the Benthic Region of the Northeastern Pacific Continental Margin |
| title_sort | clustering to characterize extreme marine conditions for the benthic region of the northeastern pacific continental margin |
| topic | ocean modeling extremes Pacific ocean machine learning acidification deoxygenation |
| url | https://doi.org/10.1029/2024GL112591 |
| work_keys_str_mv | AT ambermholdsworth clusteringtocharacterizeextrememarineconditionsforthebenthicregionofthenortheasternpacificcontinentalmargin AT andrewshao clusteringtocharacterizeextrememarineconditionsforthebenthicregionofthenortheasternpacificcontinentalmargin AT jamesrchristian clusteringtocharacterizeextrememarineconditionsforthebenthicregionofthenortheasternpacificcontinentalmargin |