Richard A. Wood, Jonathan A. Baker, Grégory Beaugrand, Jacqueline Boutin, Alessandra Conversi, Reik V. Donner, Ivy Frenger, Eric Goberville, Hakase Hayashida, Wolfgang Koeve, Karin Kvale, Angela Landolfi, Wieslaw Maslowski, Andreas Oschlies, Anastasia Romanou, Christopher J. Somes, Thomas F. Stocker, Didier Swingedouw
{"title":"地球观测为海洋临界点风险管理提供信息的机会","authors":"Richard A. Wood, Jonathan A. Baker, Grégory Beaugrand, Jacqueline Boutin, Alessandra Conversi, Reik V. Donner, Ivy Frenger, Eric Goberville, Hakase Hayashida, Wolfgang Koeve, Karin Kvale, Angela Landolfi, Wieslaw Maslowski, Andreas Oschlies, Anastasia Romanou, Christopher J. Somes, Thomas F. Stocker, Didier Swingedouw","doi":"10.1007/s10712-024-09859-3","DOIUrl":null,"url":null,"abstract":"<p>As climate change continues, the likelihood of passing critical thresholds or tipping points increases. Hence, there is a need to advance the science for detecting such thresholds. In this paper, we assess the needs and opportunities for Earth Observation (EO, here understood to refer to satellite observations) to inform society in responding to the risks associated with ten potential large-scale ocean tipping elements: Atlantic Meridional Overturning Circulation; Atlantic Subpolar Gyre; Beaufort Gyre; Arctic halocline; Kuroshio Large Meander; deoxygenation; phytoplankton; zooplankton; higher level ecosystems (including fisheries); and marine biodiversity. We review current scientific understanding and identify specific EO and related modelling needs for each of these tipping elements. We draw out some generic points that apply across several of the elements. These common points include the importance of maintaining long-term, consistent time series; the need to combine EO data consistently with in situ data types (including subsurface), for example through data assimilation; and the need to reduce or work with current mismatches in resolution (in both directions) between climate models and EO datasets. Our analysis shows that developing EO, modelling and prediction systems together, with understanding of the strengths and limitations of each, provides many promising paths towards monitoring and early warning systems for tipping, and towards the development of the next generation of climate models.</p>","PeriodicalId":49458,"journal":{"name":"Surveys in Geophysics","volume":"79 1","pages":""},"PeriodicalIF":4.9000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Opportunities for Earth Observation to Inform Risk Management for Ocean Tipping Points\",\"authors\":\"Richard A. Wood, Jonathan A. Baker, Grégory Beaugrand, Jacqueline Boutin, Alessandra Conversi, Reik V. Donner, Ivy Frenger, Eric Goberville, Hakase Hayashida, Wolfgang Koeve, Karin Kvale, Angela Landolfi, Wieslaw Maslowski, Andreas Oschlies, Anastasia Romanou, Christopher J. Somes, Thomas F. Stocker, Didier Swingedouw\",\"doi\":\"10.1007/s10712-024-09859-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>As climate change continues, the likelihood of passing critical thresholds or tipping points increases. Hence, there is a need to advance the science for detecting such thresholds. In this paper, we assess the needs and opportunities for Earth Observation (EO, here understood to refer to satellite observations) to inform society in responding to the risks associated with ten potential large-scale ocean tipping elements: Atlantic Meridional Overturning Circulation; Atlantic Subpolar Gyre; Beaufort Gyre; Arctic halocline; Kuroshio Large Meander; deoxygenation; phytoplankton; zooplankton; higher level ecosystems (including fisheries); and marine biodiversity. We review current scientific understanding and identify specific EO and related modelling needs for each of these tipping elements. We draw out some generic points that apply across several of the elements. These common points include the importance of maintaining long-term, consistent time series; the need to combine EO data consistently with in situ data types (including subsurface), for example through data assimilation; and the need to reduce or work with current mismatches in resolution (in both directions) between climate models and EO datasets. Our analysis shows that developing EO, modelling and prediction systems together, with understanding of the strengths and limitations of each, provides many promising paths towards monitoring and early warning systems for tipping, and towards the development of the next generation of climate models.</p>\",\"PeriodicalId\":49458,\"journal\":{\"name\":\"Surveys in Geophysics\",\"volume\":\"79 1\",\"pages\":\"\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Surveys in Geophysics\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1007/s10712-024-09859-3\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surveys in Geophysics","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s10712-024-09859-3","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
Opportunities for Earth Observation to Inform Risk Management for Ocean Tipping Points
As climate change continues, the likelihood of passing critical thresholds or tipping points increases. Hence, there is a need to advance the science for detecting such thresholds. In this paper, we assess the needs and opportunities for Earth Observation (EO, here understood to refer to satellite observations) to inform society in responding to the risks associated with ten potential large-scale ocean tipping elements: Atlantic Meridional Overturning Circulation; Atlantic Subpolar Gyre; Beaufort Gyre; Arctic halocline; Kuroshio Large Meander; deoxygenation; phytoplankton; zooplankton; higher level ecosystems (including fisheries); and marine biodiversity. We review current scientific understanding and identify specific EO and related modelling needs for each of these tipping elements. We draw out some generic points that apply across several of the elements. These common points include the importance of maintaining long-term, consistent time series; the need to combine EO data consistently with in situ data types (including subsurface), for example through data assimilation; and the need to reduce or work with current mismatches in resolution (in both directions) between climate models and EO datasets. Our analysis shows that developing EO, modelling and prediction systems together, with understanding of the strengths and limitations of each, provides many promising paths towards monitoring and early warning systems for tipping, and towards the development of the next generation of climate models.
期刊介绍:
Surveys in Geophysics publishes refereed review articles on the physical, chemical and biological processes occurring within the Earth, on its surface, in its atmosphere and in the near-Earth space environment, including relations with other bodies in the solar system. Observations, their interpretation, theory and modelling are covered in papers dealing with any of the Earth and space sciences.