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dc.rights.licenseopenen_US
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorSWINGEDOUW, Didier
dc.contributor.authorIFEJIKA SPERANZA, Chinwe
dc.contributor.authorBARTSCH, Annett
dc.contributor.authorDURAND, Gael
hal.structure.identifierLaboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
dc.contributor.authorJAMET, Cedric
hal.structure.identifierLaboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
dc.contributor.authorBEAUGRAND, Gregory
dc.contributor.authorCONVERSI, Alessandra
dc.date.accessioned2024-01-17T17:07:19Z
dc.date.available2024-01-17T17:07:19Z
dc.date.issued2020-11
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/187309
dc.description.abstractEnIn this review paper, we explore latest results concerning a few key tipping elements of the Earth system in the ocean, cryosphere, and land realms, namely the Atlantic overturning circulation and the subpolar gyre system, the marine ecosystems, the permafrost, the Greenland and Antarctic ice sheets, and in terrestrial resource use systems. All these different tipping elements share common characteristics related to their nonlinear nature. They can also interact with each other leading to synergies that can lead to cascading tipping points. Even if the probability of each tipping event is low, they can happen relatively rapidly, involve multiple variables, and have large societal impacts. Therefore, adaptation measures and management in general should extend their focus beyond slow and continuous changes, into abrupt, nonlinear, possibly cascading, high impact phenomena. Remote sensing observations are found to be decisive in the understanding and determination of early warning signals of many tipping elements. Nevertheless, considerable research still remains to properly incorporate these data in the current generation of coupled Earth system models. This is a key prerequisite to correctly develop robust decadal prediction systems that may help to assess the risk of crossing thresholds potentially crucial for society. The prediction of tipping points remains difficult, notably due to stochastic resonance, i.e. the interaction between natural variability and anthropogenic forcing, asking for large ensembles of predictions to correctly assess the risks. Furthermore, evaluating the proximity to crucial thresholds using process-based understanding of each system remains a key aspect to be developed for an improved assessment of such risks. This paper finally proposes a few research avenues concerning the use of remote sensing data and the need for combining different sources of data, and having long and precise-enough time series of the key variables needed to monitor Earth system tipping elements.
dc.language.isoENen_US
dc.subject.enTipping point
dc.subject.enTipping element
dc.subject.enRemote sensing
dc.subject.enEarth observation
dc.subject.enAtlantic
dc.subject.enAMOC
dc.subject.enSPG
dc.subject.enMarine biology
dc.subject.enPermafrost
dc.subject.enAntarctic and Greenland ice sheets
dc.subject.enLand use
dc.subject.enTerrestrial resource use
dc.subject.enEarly warning
dc.subject.enBifurcation
dc.subject.enClimate dynamics
dc.title.enEarly Warning from Space for a Few Key Tipping Points in Physical, Biological, and Social-Ecological Systems
dc.typeN°spécial de revue/special issueen_US
dc.identifier.doi10.1007/s10712-020-09604-6en_US
dc.subject.halPlanète et Univers [physics]en_US
bordeaux.journalSurveys in Geophysicsen_US
bordeaux.page1237-1284en_US
bordeaux.volume41en_US
bordeaux.hal.laboratoriesEPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805en_US
bordeaux.issue6en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.teamPALEO
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierinsu-03664855
hal.version1
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
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