A high-resolution synthesis dataset for multistressor analyses along the US West Coast
25 pages, 7 figures, 2 tables, supplement https://doi.org/10.5194/essd-16-219-2024.-- Data availability: The full Multistressor Observations of Coastal Hypoxia and Acidification dataset, parameter metadata, and dataset metadata tables are publicly available for download at NCEI as accession 0277984...
| Autores: | , , , , , , , , , , , , , , , , , , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/356129 |
| Acesso em linha: | http://hdl.handle.net/10261/356129 |
| Access Level: | acceso abierto |
| Palavra-chave: | http://metadata.un.org/sdg/13 Take urgent action to combat climate change and its impacts |
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A high-resolution synthesis dataset for multistressor analyses along the US West Coast |
| title |
A high-resolution synthesis dataset for multistressor analyses along the US West Coast |
| spellingShingle |
A high-resolution synthesis dataset for multistressor analyses along the US West Coast Kennedy, Esther G. http://metadata.un.org/sdg/13 Take urgent action to combat climate change and its impacts |
| title_short |
A high-resolution synthesis dataset for multistressor analyses along the US West Coast |
| title_full |
A high-resolution synthesis dataset for multistressor analyses along the US West Coast |
| title_fullStr |
A high-resolution synthesis dataset for multistressor analyses along the US West Coast |
| title_full_unstemmed |
A high-resolution synthesis dataset for multistressor analyses along the US West Coast |
| title_sort |
A high-resolution synthesis dataset for multistressor analyses along the US West Coast |
| dc.creator.none.fl_str_mv |
Kennedy, Esther G. Zulian, Meghan Hamilton, Sara L. Hill, Tessa M. Delgado, Manuel Fish, Carina R. Gaylord, Brian Kroeker, Kristy J. Palmer, Hannah M. Ricart, Aurora M. Sanford, Eric Spalding, Ana K. Ward, Melissa Carrasco, Guadalupe Elliott, Meredith Grisby, Genece V. Harris, Evan Jahncke, Jaime Rocheleau, Catherine N. Westerink, Sebastian Wilmot, Maddie I. |
| author |
Kennedy, Esther G. |
| author_facet |
Kennedy, Esther G. Zulian, Meghan Hamilton, Sara L. Hill, Tessa M. Delgado, Manuel Fish, Carina R. Gaylord, Brian Kroeker, Kristy J. Palmer, Hannah M. Ricart, Aurora M. Sanford, Eric Spalding, Ana K. Ward, Melissa Carrasco, Guadalupe Elliott, Meredith Grisby, Genece V. Harris, Evan Jahncke, Jaime Rocheleau, Catherine N. Westerink, Sebastian Wilmot, Maddie I. |
| author_role |
author |
| author2 |
Zulian, Meghan Hamilton, Sara L. Hill, Tessa M. Delgado, Manuel Fish, Carina R. Gaylord, Brian Kroeker, Kristy J. Palmer, Hannah M. Ricart, Aurora M. Sanford, Eric Spalding, Ana K. Ward, Melissa Carrasco, Guadalupe Elliott, Meredith Grisby, Genece V. Harris, Evan Jahncke, Jaime Rocheleau, Catherine N. Westerink, Sebastian Wilmot, Maddie I. |
| author2_role |
author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
California Ocean Protection Council National Oceanic and Atmospheric Administration (US) National Park Service (US) National Science Foundation (US) Agencia Estatal de Investigación (España) Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
http://metadata.un.org/sdg/13 Take urgent action to combat climate change and its impacts |
| topic |
http://metadata.un.org/sdg/13 Take urgent action to combat climate change and its impacts |
| description |
25 pages, 7 figures, 2 tables, supplement https://doi.org/10.5194/essd-16-219-2024.-- Data availability: The full Multistressor Observations of Coastal Hypoxia and Acidification dataset, parameter metadata, and dataset metadata tables are publicly available for download at NCEI as accession 0277984 at https://doi.org/10.25921/2vve-fh39 (Kennedy et al., 2023). The downloadable content includes the full MOCHA dataset available as a text file, the daily summarized dataset discussed extensively above available as a text file (aggregated_daily_dataset.csv), standard NCEI accession parameter metadata which provide an overview for each variable included in the text files (“SubmissionForm_carbon_v1_428.xlsx”), and a bespoke dataset metadata table describing each included dataset with citations and links to reference papers (MOCHA_dataset_metadata_table_v2.csv). This data package is discoverable via the NOAA Ocean Acidification Portal, NCEI Geoportal (https://www.ncei.noaa.gov/metadata/geoportal/#searchPanel, last access: 30 April 2023) and other online discovery tools. The dataset metadata table is also available in the Supplement.-- Code availability: Code for performing carbonate system calculations with the formatted dataset, creating a summarized dataset aggregated by day and making all included figures, is available on GitHub at https://doi.org/10.5281/zenodo.10408321 (Kennedy, 2023) |
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2024 |
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2024 2024 2024 |
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info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10261/356129 |
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http://hdl.handle.net/10261/356129 |
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Inglés |
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Inglés |
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https://doi.org/10.5194/essd-16-219-2024 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Copernicus Publications |
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Copernicus Publications |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869414052335190016 |
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A high-resolution synthesis dataset for multistressor analyses along the US West CoastKennedy, Esther G.Zulian, MeghanHamilton, Sara L.Hill, Tessa M.Delgado, ManuelFish, Carina R.Gaylord, BrianKroeker, Kristy J.Palmer, Hannah M.Ricart, Aurora M.Sanford, EricSpalding, Ana K.Ward, MelissaCarrasco, GuadalupeElliott, MeredithGrisby, Genece V.Harris, EvanJahncke, JaimeRocheleau, Catherine N.Westerink, SebastianWilmot, Maddie I.http://metadata.un.org/sdg/13Take urgent action to combat climate change and its impacts25 pages, 7 figures, 2 tables, supplement https://doi.org/10.5194/essd-16-219-2024.-- Data availability: The full Multistressor Observations of Coastal Hypoxia and Acidification dataset, parameter metadata, and dataset metadata tables are publicly available for download at NCEI as accession 0277984 at https://doi.org/10.25921/2vve-fh39 (Kennedy et al., 2023). The downloadable content includes the full MOCHA dataset available as a text file, the daily summarized dataset discussed extensively above available as a text file (aggregated_daily_dataset.csv), standard NCEI accession parameter metadata which provide an overview for each variable included in the text files (“SubmissionForm_carbon_v1_428.xlsx”), and a bespoke dataset metadata table describing each included dataset with citations and links to reference papers (MOCHA_dataset_metadata_table_v2.csv). This data package is discoverable via the NOAA Ocean Acidification Portal, NCEI Geoportal (https://www.ncei.noaa.gov/metadata/geoportal/#searchPanel, last access: 30 April 2023) and other online discovery tools. The dataset metadata table is also available in the Supplement.-- Code availability: Code for performing carbonate system calculations with the formatted dataset, creating a summarized dataset aggregated by day and making all included figures, is available on GitHub at https://doi.org/10.5281/zenodo.10408321 (Kennedy, 2023)Global trends of ocean warming, deoxygenation, and acidification are not easily extrapolated to coastal environments. Local factors, including intricate hydrodynamics, high primary productivity, freshwater inputs, and pollution, can exacerbate or attenuate global trends and produce complex mosaics of physiologically stressful or favorable conditions for organisms. In the California Current System (CCS), coastal oceanographic monitoring programs document some of this complexity; however, data fragmentation and limited data availability constrain our understanding of when and where intersecting stressful temperatures, carbonate system conditions, and reduced oxygen availability manifest. Here, we undertake a large data synthesis to compile, format, and quality-control publicly available oceanographic data from the US West Coast to create an accessible database for coastal CCS climate risk mapping, available from the National Centers for Environmental Information (accession 0277984) at https://doi.org/10.25921/2vve-fh39 (Kennedy et al., 2023). With this synthesis, we combine publicly available observations and data contributed by the author team from synoptic oceanographic cruises, autonomous sensors, and shore samples with relevance to coastal ocean acidification and hypoxia (OAH) risk. This large-scale compilation includes 13.7 million observations from 66 sources and spans 1949 to 2020. Here, we discuss the quality and composition of the synthesized dataset, the spatial and temporal distribution of available data, and examples of potential analyses. This dataset will provide a valuable tool for scientists supporting policy- and management-relevant investigations including assessing regional and local climate risk, evaluating the efficacy and completeness of CCS monitoring efforts, and elucidating spatiotemporal scales of coastal oceanographic variabilityThis research has been supported by the California Ocean Protection Council (grant no. R/OPCOAH-04), the NOAA Ocean Acidification Program (grant no. 2906368), the National Park Service (grant no. P17AC01416), and the National Science Foundation (grant no. 1734999)With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S)Peer reviewedCopernicus PublicationsCalifornia Ocean Protection CouncilNational Oceanic and Atmospheric Administration (US)National Park Service (US)National Science Foundation (US)Agencia Estatal de Investigación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/356129reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.5194/essd-16-219-2024Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3561292026-05-22T06:33:51Z |
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15.812455 |