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description Publicationkeyboard_double_arrow_right Other literature type , Article 2016 France, France, United Kingdom, France, France, France, GermanyPublisher:Copernicus GmbH Funded by:FCT | H21, AKA | Kara-Arctic Monitoring an..., AKA | Variation of Antarctic se... +2 projectsFCT| H21 ,AKA| Kara-Arctic Monitoring and Operation Planning Platform / Consortium: KAMON ,AKA| Variation of Antarctic sea ice thickness and its effect on the load level of ice navigating / Consortium: ANTLOAD ,NSF| INSPIRE: Nonequilibrium Statistical Mechanics of Natural Climate Variability: Sea-Surface Temperature and Ocean Heat Content ,NSF| CAREER: Ready to Resolve: Subgridscale Physics for Mesoscale Ocean Large Eddy SimulationsStephen M. Griffies; Gokhan Danabasoglu; Paul J. Durack; Alistair Adcroft; Venkatramani Balaji; Claus W. Böning; Eric P. Chassignet; Enrique N. Curchitser; Julie Deshayes; Helge Drange; Baylor Fox-Kemper; Peter J. Gleckler; Jonathan M. Gregory; Helmuth Haak; Robert Hallberg; Patrick Heimbach; Helene T. Hewitt; David M. Holland; Tatiana Ilyina; Johann H. Jungclaus; Yoshiki Komuro; John P. Krasting; William G. Large; Simon J. Marsland; Simona Masina; Trevor J. McDougall; A. J. George Nurser; James C. Orr; Anna Pirani; Fangli Qiao; Ronald J. Stouffer; Karl E. Taylor; Anne-Marie Tréguier; Hiroyuki Tsujino; Petteri Uotila; Maria Valdivieso; Qiang Wang; Michael Winton; Stephen Yeager;Abstract. The Ocean Model Intercomparison Project (OMIP) is an endorsed project in the Coupled Model Intercomparison Project Phase 6 (CMIP6). OMIP addresses CMIP6 science questions, investigating the origins and consequences of systematic model biases. It does so by providing a framework for evaluating (including assessment of systematic biases), understanding, and improving ocean, sea-ice, tracer, and biogeochemical components of climate and earth system models contributing to CMIP6. Among the WCRP Grand Challenges in climate science (GCs), OMIP primarily contributes to the regional sea level change and near-term (climate/decadal) prediction GCs.OMIP provides (a) an experimental protocol for global ocean/sea-ice models run with a prescribed atmospheric forcing; and (b) a protocol for ocean diagnostics to be saved as part of CMIP6. We focus here on the physical component of OMIP, with a companion paper (Orr et al., 2016) detailing methods for the inert chemistry and interactive biogeochemistry. The physical portion of the OMIP experimental protocol follows the interannual Coordinated Ocean-ice Reference Experiments (CORE-II). Since 2009, CORE-I (Normal Year Forcing) and CORE-II (Interannual Forcing) have become the standard methods to evaluate global ocean/sea-ice simulations and to examine mechanisms for forced ocean climate variability. The OMIP diagnostic protocol is relevant for any ocean model component of CMIP6, including the DECK (Diagnostic, Evaluation and Characterization of Klima experiments), historical simulations, FAFMIP (Flux Anomaly Forced MIP), C4MIP (Coupled Carbon Cycle Climate MIP), DAMIP (Detection and Attribution MIP), DCPP (Decadal Climate Prediction Project), ScenarioMIP, HighResMIP (High Resolution MIP), as well as the ocean/sea-ice OMIP simulations.
CORE (RIOXX-UK Aggre... arrow_drop_down Geoscientific Model Development; NERC Open Research ArchiveArticle . 2016 . Peer-reviewedLicense: CC BYGeoscientific Model Development (GMD)Other literature type . 2018Data sources: Copernicus PublicationsElectronic Publication Information CenterArticle . 2016Data sources: Electronic Publication Information CenterArchiMer - Institutional Archive of IfremerOther literature type . 2016Data sources: ArchiMer - Institutional Archive of IfremerMémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRD; HAL-UPMCArticle . 2016License: CC BY NDFull-Text: https://hal.science/hal-01491453/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 198 citations 198 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 30visibility views 30 download downloads 173 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Geoscientific Model Development; NERC Open Research ArchiveArticle . 2016 . Peer-reviewedLicense: CC BYGeoscientific Model Development (GMD)Other literature type . 2018Data sources: Copernicus PublicationsElectronic Publication Information CenterArticle . 2016Data sources: Electronic Publication Information CenterArchiMer - Institutional Archive of IfremerOther literature type . 2016Data sources: ArchiMer - Institutional Archive of IfremerMémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRD; HAL-UPMCArticle . 2016License: CC BY NDFull-Text: https://hal.science/hal-01491453/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 Germany, Netherlands, Austria, France, United Kingdom, Belgium, France, United Kingdom, United Kingdom, Germany, United States, BelgiumPublisher:Springer Science and Business Media LLC Funded by:AKA | The impact of Antarctic I..., EC | PROTECT, NSF | The Management and Operat... +6 projectsAKA| The impact of Antarctic Ice Sheet - Southern Ocean interactions on marine ice sheet stability and ocean circulation/ Consortium: COLD ,EC| PROTECT ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR) ,ARC| Special Research Initiatives - Grant ID: SR140300001 ,EC| TiPACCs ,EC| CONSTRAIN ,EC| ERA-PLANET ,AKA| Simulating Antarctic marine ice sheet stability and multi-century contributions to sea level rise ,UKRI| Understanding rising seas and ice by linking coupled models and past climatesTamsin L. Edwards; Sophie Nowicki; Ben Marzeion; Regine Hock; Heiko Goelzer; Helene Seroussi; Nicolas C. Jourdain; Donald Slater; Fiona Turner; Christopher J. Smith; Christine M. McKenna; Erika Simon; Ayako Abe-Ouchi; Jonathan M. Gregory; Eric Larour; William H. Lipscomb; Antony J. Payne; Andrew Shepherd; Cécile Agosta; Patrick Alexander; Torsten Albrecht; Brian Anderson; Xylar Asay-Davis; Andy Aschwanden; Alice Barthel; Andrew Bliss; Reinhard Calov; Christopher Chambers; Nicolas Champollion; Youngmin Choi; Richard I. Cullather; J. K. Cuzzone; Christophe Dumas; Denis Felikson; Xavier Fettweis; Koji Fujita; Benjamin K. Galton-Fenzi; Rupert Gladstone; Nicholas R. Golledge; Ralf Greve; Tore Hattermann; Matthew J. Hoffman; Angelika Humbert; Matthias Huss; Philippe Huybrechts; Walter W. Immerzeel; Thomas Kleiner; Philip Kraaijenbrink; Sébastien Le clec'h; Victoria Lee; Gunter R. Leguy; Christopher M. Little; Daniel P. Lowry; Jan Hendrik Malles; Daniel F. Martin; Fabien Maussion; Mathieu Morlighem; James F. O’Neill; Isabel Nias; Frank Pattyn; Tyler Pelle; Stephen Price; Aurélien Quiquet; Valentina Radić; Ronja Reese; David R. Rounce; Martin Rückamp; Akiko Sakai; Courtney Shafer; Nicole Schlegel; Sarah Shannon; Robin S. Smith; Fiammetta Straneo; Sainan Sun; Lev Tarasov; Luke D. Trusel; Jonas Van Breedam; Roderik S. W. van de Wal; Michiel R. van den Broeke; Ricarda Winkelmann; Harry Zekollari; Cheng Zhao; Tong Zhang; Thomas Zwinger;pmid: 33953415
The land ice contribution to global mean sea level rise has not yet been predicted1 using ice sheet and glacier models for the latest set of socio-economic scenarios, nor using coordinated exploration of uncertainties arising from the various computer models involved. Two recent international projects generated a large suite of projections using multiple models2–8, but primarily used previous-generation scenarios9 and climate models10, and could not fully explore known uncertainties. Here we estimate probability distributions for these projections under the new scenarios11,12 using statistical emulation of the ice sheet and glacier models. We find that limiting global warming to 1.5 degrees Celsius would halve the land ice contribution to twenty-first-century sea level rise, relative to current emissions pledges. The median decreases from 25 to 13 centimetres sea level equivalent (SLE) by 2100, with glaciers responsible for half the sea level contribution. The projected Antarctic contribution does not show a clear response to the emissions scenario, owing to uncertainties in the competing processes of increasing ice loss and snowfall accumulation in a warming climate. However, under risk-averse (pessimistic) assumptions, Antarctic ice loss could be five times higher, increasing the median land ice contribution to 42 centimetres SLE under current policies and pledges, with the 95th percentile projection exceeding half a metre even under 1.5 degrees Celsius warming. This would severely limit the possibility of mitigating future coastal flooding. Given this large range (between 13 centimetres SLE using the main projections under 1.5 degrees Celsius warming and 42 centimetres SLE using risk-averse projections under current pledges), adaptation planning for twenty-first-century sea level rise must account for a factor-of-three uncertainty in the land ice contribution until climate policies and the Antarctic response are further constrained. Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Mathematical Geodesy and Positioning
NARCIS; Nature; TU D... arrow_drop_down NARCIS; Nature; TU Delft RepositoryArticle . 2021Vrije Universiteit Brussel Research PortalOther literature type . 2021Data sources: Vrije Universiteit Brussel Research PortaleScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaSt Andrews Research RepositoryArticle . 2021 . Peer-reviewedData sources: St Andrews Research RepositoryElectronic Publication Information CenterArticle . 2021Data sources: Electronic Publication Information CenterOceanRep; NatureOther literature type . Article . 2021 . Peer-reviewedLicense: Springer Nature TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 173 citations 173 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 229visibility views 229 download downloads 458 Powered bymore_vert NARCIS; Nature; TU D... arrow_drop_down NARCIS; Nature; TU Delft RepositoryArticle . 2021Vrije Universiteit Brussel Research PortalOther literature type . 2021Data sources: Vrije Universiteit Brussel Research PortaleScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaSt Andrews Research RepositoryArticle . 2021 . Peer-reviewedData sources: St Andrews Research RepositoryElectronic Publication Information CenterArticle . 2021Data sources: Electronic Publication Information CenterOceanRep; NatureOther literature type . Article . 2021 . Peer-reviewedLicense: Springer Nature TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Netherlands, Denmark, Belgium, Germany, Finland, Norway, United Kingdom, Norway, France, FrancePublisher:American Meteorological Society Funded by:AKA | ICOS - Integrated Carbon ..., EC | VERIFY, SNSF | ICOS-CH: Integrated Carbo... +6 projectsAKA| ICOS - Integrated Carbon Observation System: ICOS-ERIC Head Office ,EC| VERIFY ,SNSF| ICOS-CH: Integrated Carbon Observation System in Switzerland ,SNSF| ICOS-CH Phase 2 ,AKA| ICOS - Integrated Carbon Observation System; ICOS-Finland ,AKA| Integrated Carbon Observation System-European Research Infrastructure Consortium ,EC| CoCO2 ,EC| ICOS ,EC| RINGOHeiskanen, Jouni; Brümmer, Christian; Buchmann, Nina; Calfapietra, Carlo; Chen, Huilin; Gielen, Bert; Gkritzalis, Thanos; Hammer, Samuel; Hartman, Susan; Herbst, Mathias; Janssens, Ivan,; Jordan, Armin; Juurola, Eija; Karstens, Ute; Kasurinen, Ville; Kruijt, Bart; Lankreijer, Harry; Levin, Ingeborg; Linderson, Maj-Lena; Loustau, Denis; Merbold, Lutz; Myhre, Cathrine Lund; Papale, Dario; Pavelka, Marian; Pilegaard, Kim; Ramonet, Michel; Rebmann, Corinna; Rinne, Janne; Rivier, Léonard; Saltikoff, Elena; Sanders, Richard; Steinbacher, Martin; Steinhoff, Tobias; Watson, Andrew; Vermeulen, Alex,; Vesala, Timo; Vítková, Gabriela; Kutsch, Werner; Myhre, Cathrine,;Abstract Since 1750, land-use change and fossil fuel combustion has led to a 46% increase in the atmospheric carbon dioxide (CO2) concentrations, causing global warming with substantial societal consequences. The Paris Agreement aims to limit global temperature increases to well below 2°C above preindustrial levels. Increasing levels of CO2 and other greenhouse gases (GHGs), such as methane (CH4) and nitrous oxide (N2O), in the atmosphere are the primary cause of climate change. Approximately half of the carbon emissions to the atmosphere are sequestered by ocean and land sinks, leading to ocean acidification but also slowing the rate of global warming. However, there are significant uncertainties in the future global warming scenarios due to uncertainties in the size, nature, and stability of these sinks. Quantifying and monitoring the size and timing of natural sinks and the impact of climate change on ecosystems are important information to guide policy-makers’ decisions and strategies on reductions in emissions. Continuous, long-term observations are required to quantify GHG emissions, sinks, and their impacts on Earth systems. The Integrated Carbon Observation System (ICOS) was designed as the European in situ observation and information system to support science and society in their efforts to mitigate climate change. It provides standardized and open data currently from over 140 measurement stations across 12 European countries. The stations observe GHG concentrations in the atmosphere and carbon and GHG fluxes between the atmosphere, land surface, and the oceans. This article describes how ICOS fulfills its mission to harmonize these observations, ensure the related long-term financial commitments, provide easy access to well-documented and reproducible high-quality data and related protocols and tools for scientific studies, and deliver information and GHG-related products to stakeholders in society and policy.
NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WUROther literature type . Article . 2022License: CC BYFull-Text: https://edepot.wur.nl/569214OceanRep; Bulletin of the American Meteorological Society; NERC Open Research ArchiveArticle . 2022 . Peer-reviewedNORCE Research Archive; Norwegian Open Research ArchivesArticle . 2021 . Peer-reviewedOnline Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiInstitutional Repository Universiteit AntwerpenArticle . 2022Data sources: Institutional Repository Universiteit Antwerpenadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 4visibility views 4 download downloads 2 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WUROther literature type . Article . 2022License: CC BYFull-Text: https://edepot.wur.nl/569214OceanRep; Bulletin of the American Meteorological Society; NERC Open Research ArchiveArticle . 2022 . Peer-reviewedNORCE Research Archive; Norwegian Open Research ArchivesArticle . 2021 . Peer-reviewedOnline Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiInstitutional Repository Universiteit AntwerpenArticle . 2022Data sources: Institutional Repository Universiteit Antwerpenadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2017 Finland, Germany, United Kingdom, Germany, France EnglishPublisher:Karlsruhe Funded by:AKA | Climate and Solar Particl..., AKA | Sun-Earth Connection Thro..., EC | SPECS +2 projectsAKA| Climate and Solar Particle Forcing ,AKA| Sun-Earth Connection Through Ion Chemistry ,EC| SPECS ,EC| SOLID ,AKA| Climate and Solar Particle Forcing - CLASPMatthes, K; Funke, B; Andersson, ME; Barnard, L; Beer, J; Charbonneau, P; Clilverd, MA; De Wit, T; Haberreiter, M; Hendry, A; Jackman, CH; Kretzschmar, M; Kruschke, T; Kunze, M; Langematz, U; Marsh, DR; Maycock, AC; Misios, S; Rodger, CJ; Scaife, AA; Seppälä, A; Shangguan, M; Sinnhuber, M; Tourpali, K; Usoskin, I; Van De Kamp, M; Verronen, PT; Versick, S;This paper describes the recommended solar forcing dataset for CMIP6 and highlights changes with respect to CMIP5. The solar forcing is provided for radiative properties, namely total solar irradiance (TSI), solar spectral irradiance (SSI), and the F10.7 index as well as particle forcing, including geomagnetic indices Ap and Kp, and ionization rates to account for effects of solar protons, electrons, and galactic cosmic rays. This is the first time that a recommendation for solar-driven particle forcing has been provided for a CMIP exercise. The solar forcing datasets are provided at daily and monthly resolution separately for the CMIP6 preindustrial control, historical (1850–2014), and future (2015–2300) simulations. For the preindustrial control simulation, both constant and time-varying solar forcing components are provided, with the latter including variability on 11-year and shorter timescales but no long-term changes. For the future, we provide a realistic scenario of what solar behavior could be, as well as an additional extreme Maunder-minimum-like sensitivity scenario. This paper describes the forcing datasets and also provides detailed recommendations as to their implementation in current climate models.For the historical simulations, the TSI and SSI time series are defined as the average of two solar irradiance models that are adapted to CMIP6 needs: an empirical one (NRLTSI2–NRLSSI2) and a semi-empirical one (SATIRE). A new and lower TSI value is recommended: the contemporary solar-cycle average is now 1361.0 W m−2. The slight negative trend in TSI over the three most recent solar cycles in the CMIP6 dataset leads to only a small global radiative forcing of −0.04 W m−2. In the 200–400 nm wavelength range, which is important for ozone photochemistry, the CMIP6 solar forcing dataset shows a larger solar-cycle variability contribution to TSI than in CMIP5 (50 % compared to 35 %).We compare the climatic effects of the CMIP6 solar forcing dataset to its CMIP5 predecessor by using time-slice experiments of two chemistry–climate models and a reference radiative transfer model. The differences in the long-term mean SSI in the CMIP6 dataset, compared to CMIP5, impact on climatological stratospheric conditions (lower shortwave heating rates of −0.35 K day−1 at the stratopause), cooler stratospheric temperatures (−1.5 K in the upper stratosphere), lower ozone abundances in the lower stratosphere (−3 %), and higher ozone abundances (+1.5 % in the upper stratosphere and lower mesosphere). Between the maximum and minimum phases of the 11-year solar cycle, there is an increase in shortwave heating rates (+0.2 K day−1 at the stratopause), temperatures ( ∼ 1 K at the stratopause), and ozone (+2.5 % in the upper stratosphere) in the tropical upper stratosphere using the CMIP6 forcing dataset. This solar-cycle response is slightly larger, but not statistically significantly different from that for the CMIP5 forcing dataset.CMIP6 models with a well-resolved shortwave radiation scheme are encouraged to prescribe SSI changes and include solar-induced stratospheric ozone variations, in order to better represent solar climate variability compared to models that only prescribe TSI and/or exclude the solar-ozone response. We show that monthly-mean solar-induced ozone variations are implicitly included in the SPARC/CCMI CMIP6 Ozone Database for historical simulations, which is derived from transient chemistry–climate model simulations and has been developed for climate models that do not calculate ozone interactively. CMIP6 models without chemistry that perform a preindustrial control simulation with time-varying solar forcing will need to use a modified version of the SPARC/CCMI Ozone Database that includes solar variability. CMIP6 models with interactive chemistry are also encouraged to use the particle forcing datasets, which will allow the potential long-term effects of particles to be addressed for the first time. The consideration of particle forcing has been shown to significantly improve the representation of reactive nitrogen and ozone variability in the polar middle atmosphere, eventually resulting in further improvements in the representation of solar climate variability in global models.
OceanRep arrow_drop_down University of Oulu Repository - JultikaArticle . 2017License: CC BYData sources: University of Oulu Repository - JultikaOxford University Research ArchiveOther literature type . 2019License: CC BYData sources: Oxford University Research ArchiveGeoscientific Model Development (GMD)Other literature type . 2018Data sources: Copernicus PublicationsMémoires en Sciences de l'Information et de la CommunicationArticle . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 53visibility views 53 download downloads 584 Powered bymore_vert OceanRep arrow_drop_down University of Oulu Repository - JultikaArticle . 2017License: CC BYData sources: University of Oulu Repository - JultikaOxford University Research ArchiveOther literature type . 2019License: CC BYData sources: Oxford University Research ArchiveGeoscientific Model Development (GMD)Other literature type . 2018Data sources: Copernicus PublicationsMémoires en Sciences de l'Information et de la CommunicationArticle . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5445/ir/1000071026&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2019 FrancePublisher:SAGE Publications Funded by:AKA | Multilevel traffic simula..., UKRI | TRANSITION: Transport saf..., ANR | AutoConductAKA| Multilevel traffic simulation with cognitive basis / Consortium: MULSIMCO ,UKRI| TRANSITION: Transport safety in automated vehicles ,ANR| AutoConductMole, CD; Lappi, O; Giles, O; Markkula, G; Mars, F; Wilkie, RM;pmid: 30840514
Objective: To present a structured, narrative review highlighting research into human perceptual-motor coordination that can be applied to automated vehicle (AV)–human transitions. Background: Manual control of vehicles is made possible by the coordination of perceptual-motor behaviors (gaze and steering actions), where active feedback loops enable drivers to respond rapidly to ever-changing environments. AVs will change the nature of driving to periods of monitoring followed by the human driver taking over manual control. The impact of this change is currently poorly understood. Method: We outline an explanatory framework for understanding control transitions based on models of human steering control. This framework can be summarized as a perceptual-motor loop that requires (a) calibration and (b) gaze and steering coordination. A review of the current experimental literature on transitions is presented in the light of this framework. Results: The success of transitions are often measured using reaction times, however, the perceptual-motor mechanisms underpinning steering quality remain relatively unexplored. Conclusion: Modeling the coordination of gaze and steering and the calibration of perceptual-motor control will be crucial to ensure safe and successful transitions out of automated driving. Application: This conclusion poses a challenge for future research on AV-human transitions. Future studies need to provide an understanding of human behavior that will be sufficient to capture the essential characteristics of drivers reengaging control of their vehicle. The proposed framework can provide a guide for investigating specific components of human control of steering and potential routes to improving manual control recovery.
CORE (RIOXX-UK Aggre... arrow_drop_down Human Factors The Journal of the Human Factors and Ergonomics SocietyArticleData sources: UnpayWallHuman Factors The Journal of the Human Factors and Ergonomics SocietyArticle . 2019 . Peer-reviewedLicense: SAGE TDMData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2019Full-Text: https://hal.science/hal-02108005/documentHuman Factors The Journal of the Human Factors and Ergonomics SocietyArticle . 2019Data sources: Europe PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesbronze 39 citations 39 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 30visibility views 30 download downloads 568 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Human Factors The Journal of the Human Factors and Ergonomics SocietyArticleData sources: UnpayWallHuman Factors The Journal of the Human Factors and Ergonomics SocietyArticle . 2019 . Peer-reviewedLicense: SAGE TDMData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2019Full-Text: https://hal.science/hal-02108005/documentHuman Factors The Journal of the Human Factors and Ergonomics SocietyArticle . 2019Data sources: Europe PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2020 Germany, Netherlands, Belgium, Germany, France, France, BelgiumPublisher:Copernicus GmbH Funded by:EC | TiPACCs, AKA | The impact of Antarctic I..., NSF | The Management and Operat... +8 projectsEC| TiPACCs ,AKA| The impact of Antarctic Ice Sheet - Southern Ocean interactions on marine ice sheet stability and ocean circulation/ Consortium: COLD ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR) ,NWO| Perturbations of System Earth: Reading the Past to Project the Future - A proposal to create the Netherlands Earth System Science Centre (ESSC) ,NWO| Quality assured industrial scale production of eave tube inserts for malaria control in Africa ,AKA| Simulating Antarctic marine ice sheet stability and multi-century contributions to sea level rise ,NSF| NSF-NERC: PROcesses, drivers, Predictions: Modeling the response of Thwaites Glacier over the next Century using Ice/Ocean Coupled Models (PROPHET) ,EC| ERA-PLANET ,ANR| TROIS-AS ,NSF| RAPID: Ocean Forcing for Ice Sheet Models for the IPCC Sixth Assessment Report ,ARC| Special Research Initiatives - Grant ID: SR140300001H. Seroussi; S. Nowicki; A. J. Payne; H. Goelzer; H. Goelzer; W. H. Lipscomb; A. Abe-Ouchi; C. Agosta; T. Albrecht; X. Asay-Davis; A. Barthel; R. Calov; R. Cullather; C. Dumas; B. K. Galton-Fenzi; R. Gladstone; N. R. Golledge; J. M. Gregory; J. M. Gregory; R. Greve; R. Greve; T. Hattermann; T. Hattermann; M. J. Hoffman; A. Humbert; A. Humbert; P. Huybrechts; N. C. Jourdain; T. Kleiner; E. Larour; G. R. Leguy; D. P. Lowry; C. M. Little; M. Morlighem; F. Pattyn; T. Pelle; S. F. Price; A. Quiquet; R. Reese; N.-J. Schlegel; A. Shepherd; E. Simon; R. S. Smith; F. Straneo; S. Sun; L. D. Trusel; J. Van Breedam; R. S. W. van de Wal; R. S. W. van de Wal; R. Winkelmann; R. Winkelmann; C. Zhao; T. Zhang; T. Zwinger;Abstract. Ice flow models of the Antarctic ice sheet are commonly used to simulate its future evolution inresponse to different climate scenarios and assess the mass loss that would contribute tofuture sea level rise. However, there is currently no consensus on estimates of the future massbalance of the ice sheet, primarily because of differences in the representation of physicalprocesses, forcings employed and initial states of ice sheet models. This study presentsresults from ice flow model simulations from 13 international groups focusing on the evolutionof the Antarctic ice sheet during the period 2015–2100 as part of the Ice Sheet ModelIntercomparison for CMIP6 (ISMIP6). They are forced with outputs from a subset of models from theCoupled Model Intercomparison Project Phase 5 (CMIP5), representative of the spread in climatemodel results. Simulations of the Antarctic ice sheet contribution to sea level rise in responseto increased warming during this period varies between −7.8 and 30.0 cm of sea level equivalent(SLE) under Representative ConcentrationPathway (RCP) 8.5 scenario forcing. These numbers are relative to a control experiment withconstant climate conditions and should therefore be added to the mass loss contribution underclimate conditions similar to present-day conditions over the same period. The simulated evolution of theWest Antarctic ice sheet varies widely among models, with an overall mass loss, up to 18.0 cm SLE, in response to changes in oceanic conditions. East Antarctica mass change varies between −6.1 and8.3 cm SLE in the simulations, with a significant increase in surface mass balance outweighingthe increased ice discharge under most RCP 8.5 scenario forcings. The inclusion of ice shelfcollapse, here assumed to be caused by large amounts of liquid water ponding at the surface ofice shelves, yields an additional simulated mass loss of 28 mm compared to simulations without iceshelf collapse. The largest sources of uncertainty come from the climate forcing, the ocean-induced melt rates, thecalibration of these melt rates based on oceanic conditions taken outside of ice shelf cavitiesand the ice sheet dynamic response to these oceanic changes. Results under RCP 2.6 scenario basedon two CMIP5 climate models show an additional mass loss of 0 and 3 cm of SLE on average compared tosimulations done under present-day conditions for the two CMIP5 forcings used and displaylimited mass gain in East Antarctica. info:eu-repo/semantics/published
Vrije Universiteit B... arrow_drop_down Vrije Universiteit Brussel Research Portal; The Cryosphere; The Cryosphere (TC)Other literature type . Article . 2020 . Peer-reviewedLicense: CC BYNARCIS; Utrecht University RepositoryArticle . 2020Electronic Publication Information CenterArticle . 2020Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 188 citations 188 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 5visibility views 5 download downloads 22 Powered bymore_vert Vrije Universiteit B... arrow_drop_down Vrije Universiteit Brussel Research Portal; The Cryosphere; The Cryosphere (TC)Other literature type . Article . 2020 . Peer-reviewedLicense: CC BYNARCIS; Utrecht University RepositoryArticle . 2020Electronic Publication Information CenterArticle . 2020Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type , Review 2017 Netherlands, United States, Netherlands, Finland, Germany, Denmark, FrancePublisher:Copernicus GmbH Funded by:FWF | Carbonyl sulfide exchange..., AKA | Carbon Balance under Chan..., AKA | Biosphere-Atmosphere Feed... +7 projectsFWF| Carbonyl sulfide exchange between terrestrial ecosystems and the atmosphere ,AKA| Carbon Balance under Changing Processes of Arctic and Subarctic Cryosphere (CARB-ARC) / Consortium: CARB-ARC ,AKA| Biosphere-Atmosphere Feedbacks and Carbon-Water Cycles ,AKA| Biosphere-Atmosphere Feedbacks and Carbon-Water Cycles ,NSF| Collaborative Research: A 1500m Ice Core from South Pole ,NSF| CAREER: Disentangling CO2 Fluxes in a Tropical Rainforest Using Carbonyl Sulfide ,NSF| AGS-PRF: Soil Exchange of Carbonyl Sulfide (COS): Towards an Independent Proxy for Terrestrial Gross Primary Production (GPP) ,EC| SOLCA ,EC| USIFlux ,AKA| Centre of Excellence in Atmospheric Science From Molecular and Biolocigal processes to The Global ClimateM. E. Whelan; M. E. Whelan; S. T. Lennartz; T. E. Gimeno; R. Wehr; G. Wohlfahrt; Y. Wang; L. M. J. Kooijmans; T. W. Hilton; S. Belviso; P. Peylin; R. Commane; W. Sun; H. Chen; L. Kuai; I. Mammarella; K. Maseyk; M. Berkelhammer; K.-F. Li; D. Yakir; A. Zumkehr; Y. Katayama; J. Ogée; F. M. Spielmann; F. Kitz; B. Rastogi; J. Kesselmeier; J. Marshall; K.-M. Erkkilä; L. Wingate; L. K. Meredith; W. He; R. Bunk; T. Launois; T. Vesala; T. Vesala; T. Vesala; J. A. Schmidt; C. G. Fichot; U. Seibt; S. Saleska; E. S. Saltzman; S. A. Montzka; J. A. Berry; J. E. Campbell;For the past decade, observations of carbonyl sulfide (OCS or COS) have been investigated as a proxy for carbon uptake by plants. OCS is destroyed by enzymes that interact with CO2 during photosynthesis, namely carbonic anhydrase (CA) and RuBisCO, where CA is the more important one. The majority of sources of OCS to the atmosphere are geographically separated from this large plant sink, whereas the sources and sinks of CO2 are co-located in ecosystems. The drawdown of OCS can therefore be related to the uptake of CO2 without the added complication of co-located emissions comparable in magnitude. Here we review the state of our understanding of the global OCS cycle and its applications to ecosystem carbon cycle science. OCS uptake is correlated well to plant carbon uptake, especially at the regional scale. OCS can be used in conjunction with other independent measures of ecosystem function, like solar-induced fluorescence and carbon and water isotope studies. More work needs to be done to generate global coverage for OCS observations and to link this powerful atmospheric tracer to systems where fundamental questions concerning the carbon and water cycle remain.
OceanRep arrow_drop_down eScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaCopenhagen University Research Information SystemArticle . 2018Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaHELDA - Digital Repository of the University of HelsinkiReview . 2018 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiMémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . 2018License: CC BYFull-Text: https://hal.science/hal-02104411/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 94 citations 94 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!download 91download downloads 91 Powered bymore_vert OceanRep arrow_drop_down eScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaCopenhagen University Research Information SystemArticle . 2018Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaHELDA - Digital Repository of the University of HelsinkiReview . 2018 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiMémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . 2018License: CC BYFull-Text: https://hal.science/hal-02104411/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Other literature type , Article 2016 France, France, United Kingdom, France, France, France, GermanyPublisher:Copernicus GmbH Funded by:FCT | H21, AKA | Kara-Arctic Monitoring an..., AKA | Variation of Antarctic se... +2 projectsFCT| H21 ,AKA| Kara-Arctic Monitoring and Operation Planning Platform / Consortium: KAMON ,AKA| Variation of Antarctic sea ice thickness and its effect on the load level of ice navigating / Consortium: ANTLOAD ,NSF| INSPIRE: Nonequilibrium Statistical Mechanics of Natural Climate Variability: Sea-Surface Temperature and Ocean Heat Content ,NSF| CAREER: Ready to Resolve: Subgridscale Physics for Mesoscale Ocean Large Eddy SimulationsStephen M. Griffies; Gokhan Danabasoglu; Paul J. Durack; Alistair Adcroft; Venkatramani Balaji; Claus W. Böning; Eric P. Chassignet; Enrique N. Curchitser; Julie Deshayes; Helge Drange; Baylor Fox-Kemper; Peter J. Gleckler; Jonathan M. Gregory; Helmuth Haak; Robert Hallberg; Patrick Heimbach; Helene T. Hewitt; David M. Holland; Tatiana Ilyina; Johann H. Jungclaus; Yoshiki Komuro; John P. Krasting; William G. Large; Simon J. Marsland; Simona Masina; Trevor J. McDougall; A. J. George Nurser; James C. Orr; Anna Pirani; Fangli Qiao; Ronald J. Stouffer; Karl E. Taylor; Anne-Marie Tréguier; Hiroyuki Tsujino; Petteri Uotila; Maria Valdivieso; Qiang Wang; Michael Winton; Stephen Yeager;Abstract. The Ocean Model Intercomparison Project (OMIP) is an endorsed project in the Coupled Model Intercomparison Project Phase 6 (CMIP6). OMIP addresses CMIP6 science questions, investigating the origins and consequences of systematic model biases. It does so by providing a framework for evaluating (including assessment of systematic biases), understanding, and improving ocean, sea-ice, tracer, and biogeochemical components of climate and earth system models contributing to CMIP6. Among the WCRP Grand Challenges in climate science (GCs), OMIP primarily contributes to the regional sea level change and near-term (climate/decadal) prediction GCs.OMIP provides (a) an experimental protocol for global ocean/sea-ice models run with a prescribed atmospheric forcing; and (b) a protocol for ocean diagnostics to be saved as part of CMIP6. We focus here on the physical component of OMIP, with a companion paper (Orr et al., 2016) detailing methods for the inert chemistry and interactive biogeochemistry. The physical portion of the OMIP experimental protocol follows the interannual Coordinated Ocean-ice Reference Experiments (CORE-II). Since 2009, CORE-I (Normal Year Forcing) and CORE-II (Interannual Forcing) have become the standard methods to evaluate global ocean/sea-ice simulations and to examine mechanisms for forced ocean climate variability. The OMIP diagnostic protocol is relevant for any ocean model component of CMIP6, including the DECK (Diagnostic, Evaluation and Characterization of Klima experiments), historical simulations, FAFMIP (Flux Anomaly Forced MIP), C4MIP (Coupled Carbon Cycle Climate MIP), DAMIP (Detection and Attribution MIP), DCPP (Decadal Climate Prediction Project), ScenarioMIP, HighResMIP (High Resolution MIP), as well as the ocean/sea-ice OMIP simulations.
CORE (RIOXX-UK Aggre... arrow_drop_down Geoscientific Model Development; NERC Open Research ArchiveArticle . 2016 . Peer-reviewedLicense: CC BYGeoscientific Model Development (GMD)Other literature type . 2018Data sources: Copernicus PublicationsElectronic Publication Information CenterArticle . 2016Data sources: Electronic Publication Information CenterArchiMer - Institutional Archive of IfremerOther literature type . 2016Data sources: ArchiMer - Institutional Archive of IfremerMémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRD; HAL-UPMCArticle . 2016License: CC BY NDFull-Text: https://hal.science/hal-01491453/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-9-3231-2016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 198 citations 198 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 30visibility views 30 download downloads 173 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Geoscientific Model Development; NERC Open Research ArchiveArticle . 2016 . Peer-reviewedLicense: CC BYGeoscientific Model Development (GMD)Other literature type . 2018Data sources: Copernicus PublicationsElectronic Publication Information CenterArticle . 2016Data sources: Electronic Publication Information CenterArchiMer - Institutional Archive of IfremerOther literature type . 2016Data sources: ArchiMer - Institutional Archive of IfremerMémoires en Sciences de l'Information et de la Communication; HAL-CEA; HAL-IRD; HAL-UPMCArticle . 2016License: CC BY NDFull-Text: https://hal.science/hal-01491453/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-9-3231-2016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 Germany, Netherlands, Austria, France, United Kingdom, Belgium, France, United Kingdom, United Kingdom, Germany, United States, BelgiumPublisher:Springer Science and Business Media LLC Funded by:AKA | The impact of Antarctic I..., EC | PROTECT, NSF | The Management and Operat... +6 projectsAKA| The impact of Antarctic Ice Sheet - Southern Ocean interactions on marine ice sheet stability and ocean circulation/ Consortium: COLD ,EC| PROTECT ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR) ,ARC| Special Research Initiatives - Grant ID: SR140300001 ,EC| TiPACCs ,EC| CONSTRAIN ,EC| ERA-PLANET ,AKA| Simulating Antarctic marine ice sheet stability and multi-century contributions to sea level rise ,UKRI| Understanding rising seas and ice by linking coupled models and past climatesTamsin L. Edwards; Sophie Nowicki; Ben Marzeion; Regine Hock; Heiko Goelzer; Helene Seroussi; Nicolas C. Jourdain; Donald Slater; Fiona Turner; Christopher J. Smith; Christine M. McKenna; Erika Simon; Ayako Abe-Ouchi; Jonathan M. Gregory; Eric Larour; William H. Lipscomb; Antony J. Payne; Andrew Shepherd; Cécile Agosta; Patrick Alexander; Torsten Albrecht; Brian Anderson; Xylar Asay-Davis; Andy Aschwanden; Alice Barthel; Andrew Bliss; Reinhard Calov; Christopher Chambers; Nicolas Champollion; Youngmin Choi; Richard I. Cullather; J. K. Cuzzone; Christophe Dumas; Denis Felikson; Xavier Fettweis; Koji Fujita; Benjamin K. Galton-Fenzi; Rupert Gladstone; Nicholas R. Golledge; Ralf Greve; Tore Hattermann; Matthew J. Hoffman; Angelika Humbert; Matthias Huss; Philippe Huybrechts; Walter W. Immerzeel; Thomas Kleiner; Philip Kraaijenbrink; Sébastien Le clec'h; Victoria Lee; Gunter R. Leguy; Christopher M. Little; Daniel P. Lowry; Jan Hendrik Malles; Daniel F. Martin; Fabien Maussion; Mathieu Morlighem; James F. O’Neill; Isabel Nias; Frank Pattyn; Tyler Pelle; Stephen Price; Aurélien Quiquet; Valentina Radić; Ronja Reese; David R. Rounce; Martin Rückamp; Akiko Sakai; Courtney Shafer; Nicole Schlegel; Sarah Shannon; Robin S. Smith; Fiammetta Straneo; Sainan Sun; Lev Tarasov; Luke D. Trusel; Jonas Van Breedam; Roderik S. W. van de Wal; Michiel R. van den Broeke; Ricarda Winkelmann; Harry Zekollari; Cheng Zhao; Tong Zhang; Thomas Zwinger;pmid: 33953415
The land ice contribution to global mean sea level rise has not yet been predicted1 using ice sheet and glacier models for the latest set of socio-economic scenarios, nor using coordinated exploration of uncertainties arising from the various computer models involved. Two recent international projects generated a large suite of projections using multiple models2–8, but primarily used previous-generation scenarios9 and climate models10, and could not fully explore known uncertainties. Here we estimate probability distributions for these projections under the new scenarios11,12 using statistical emulation of the ice sheet and glacier models. We find that limiting global warming to 1.5 degrees Celsius would halve the land ice contribution to twenty-first-century sea level rise, relative to current emissions pledges. The median decreases from 25 to 13 centimetres sea level equivalent (SLE) by 2100, with glaciers responsible for half the sea level contribution. The projected Antarctic contribution does not show a clear response to the emissions scenario, owing to uncertainties in the competing processes of increasing ice loss and snowfall accumulation in a warming climate. However, under risk-averse (pessimistic) assumptions, Antarctic ice loss could be five times higher, increasing the median land ice contribution to 42 centimetres SLE under current policies and pledges, with the 95th percentile projection exceeding half a metre even under 1.5 degrees Celsius warming. This would severely limit the possibility of mitigating future coastal flooding. Given this large range (between 13 centimetres SLE using the main projections under 1.5 degrees Celsius warming and 42 centimetres SLE using risk-averse projections under current pledges), adaptation planning for twenty-first-century sea level rise must account for a factor-of-three uncertainty in the land ice contribution until climate policies and the Antarctic response are further constrained. Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Mathematical Geodesy and Positioning
NARCIS; Nature; TU D... arrow_drop_down NARCIS; Nature; TU Delft RepositoryArticle . 2021Vrije Universiteit Brussel Research PortalOther literature type . 2021Data sources: Vrije Universiteit Brussel Research PortaleScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaSt Andrews Research RepositoryArticle . 2021 . Peer-reviewedData sources: St Andrews Research RepositoryElectronic Publication Information CenterArticle . 2021Data sources: Electronic Publication Information CenterOceanRep; NatureOther literature type . Article . 2021 . Peer-reviewedLicense: Springer Nature TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 173 citations 173 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 229visibility views 229 download downloads 458 Powered bymore_vert NARCIS; Nature; TU D... arrow_drop_down NARCIS; Nature; TU Delft RepositoryArticle . 2021Vrije Universiteit Brussel Research PortalOther literature type . 2021Data sources: Vrije Universiteit Brussel Research PortaleScholarship - University of CaliforniaArticle . 2021Data sources: eScholarship - University of CaliforniaSt Andrews Research RepositoryArticle . 2021 . Peer-reviewedData sources: St Andrews Research RepositoryElectronic Publication Information CenterArticle . 2021Data sources: Electronic Publication Information CenterOceanRep; NatureOther literature type . Article . 2021 . Peer-reviewedLicense: Springer Nature TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Netherlands, Denmark, Belgium, Germany, Finland, Norway, United Kingdom, Norway, France, FrancePublisher:American Meteorological Society Funded by:AKA | ICOS - Integrated Carbon ..., EC | VERIFY, SNSF | ICOS-CH: Integrated Carbo... +6 projectsAKA| ICOS - Integrated Carbon Observation System: ICOS-ERIC Head Office ,EC| VERIFY ,SNSF| ICOS-CH: Integrated Carbon Observation System in Switzerland ,SNSF| ICOS-CH Phase 2 ,AKA| ICOS - Integrated Carbon Observation System; ICOS-Finland ,AKA| Integrated Carbon Observation System-European Research Infrastructure Consortium ,EC| CoCO2 ,EC| ICOS ,EC| RINGOHeiskanen, Jouni; Brümmer, Christian; Buchmann, Nina; Calfapietra, Carlo; Chen, Huilin; Gielen, Bert; Gkritzalis, Thanos; Hammer, Samuel; Hartman, Susan; Herbst, Mathias; Janssens, Ivan,; Jordan, Armin; Juurola, Eija; Karstens, Ute; Kasurinen, Ville; Kruijt, Bart; Lankreijer, Harry; Levin, Ingeborg; Linderson, Maj-Lena; Loustau, Denis; Merbold, Lutz; Myhre, Cathrine Lund; Papale, Dario; Pavelka, Marian; Pilegaard, Kim; Ramonet, Michel; Rebmann, Corinna; Rinne, Janne; Rivier, Léonard; Saltikoff, Elena; Sanders, Richard; Steinbacher, Martin; Steinhoff, Tobias; Watson, Andrew; Vermeulen, Alex,; Vesala, Timo; Vítková, Gabriela; Kutsch, Werner; Myhre, Cathrine,;Abstract Since 1750, land-use change and fossil fuel combustion has led to a 46% increase in the atmospheric carbon dioxide (CO2) concentrations, causing global warming with substantial societal consequences. The Paris Agreement aims to limit global temperature increases to well below 2°C above preindustrial levels. Increasing levels of CO2 and other greenhouse gases (GHGs), such as methane (CH4) and nitrous oxide (N2O), in the atmosphere are the primary cause of climate change. Approximately half of the carbon emissions to the atmosphere are sequestered by ocean and land sinks, leading to ocean acidification but also slowing the rate of global warming. However, there are significant uncertainties in the future global warming scenarios due to uncertainties in the size, nature, and stability of these sinks. Quantifying and monitoring the size and timing of natural sinks and the impact of climate change on ecosystems are important information to guide policy-makers’ decisions and strategies on reductions in emissions. Continuous, long-term observations are required to quantify GHG emissions, sinks, and their impacts on Earth systems. The Integrated Carbon Observation System (ICOS) was designed as the European in situ observation and information system to support science and society in their efforts to mitigate climate change. It provides standardized and open data currently from over 140 measurement stations across 12 European countries. The stations observe GHG concentrations in the atmosphere and carbon and GHG fluxes between the atmosphere, land surface, and the oceans. This article describes how ICOS fulfills its mission to harmonize these observations, ensure the related long-term financial commitments, provide easy access to well-documented and reproducible high-quality data and related protocols and tools for scientific studies, and deliver information and GHG-related products to stakeholders in society and policy.
NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WUROther literature type . Article . 2022License: CC BYFull-Text: https://edepot.wur.nl/569214OceanRep; Bulletin of the American Meteorological Society; NERC Open Research ArchiveArticle . 2022 . Peer-reviewedNORCE Research Archive; Norwegian Open Research ArchivesArticle . 2021 . Peer-reviewedOnline Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiInstitutional Repository Universiteit AntwerpenArticle . 2022Data sources: Institutional Repository Universiteit Antwerpenadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 4visibility views 4 download downloads 2 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down NARCIS; Research@WUROther literature type . Article . 2022License: CC BYFull-Text: https://edepot.wur.nl/569214OceanRep; Bulletin of the American Meteorological Society; NERC Open Research ArchiveArticle . 2022 . Peer-reviewedNORCE Research Archive; Norwegian Open Research ArchivesArticle . 2021 . Peer-reviewedOnline Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2022 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiInstitutional Repository Universiteit AntwerpenArticle . 2022Data sources: Institutional Repository Universiteit Antwerpenadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2017 Finland, Germany, United Kingdom, Germany, France EnglishPublisher:Karlsruhe Funded by:AKA | Climate and Solar Particl..., AKA | Sun-Earth Connection Thro..., EC | SPECS +2 projectsAKA| Climate and Solar Particle Forcing ,AKA| Sun-Earth Connection Through Ion Chemistry ,EC| SPECS ,EC| SOLID ,AKA| Climate and Solar Particle Forcing - CLASPMatthes, K; Funke, B; Andersson, ME; Barnard, L; Beer, J; Charbonneau, P; Clilverd, MA; De Wit, T; Haberreiter, M; Hendry, A; Jackman, CH; Kretzschmar, M; Kruschke, T; Kunze, M; Langematz, U; Marsh, DR; Maycock, AC; Misios, S; Rodger, CJ; Scaife, AA; Seppälä, A; Shangguan, M; Sinnhuber, M; Tourpali, K; Usoskin, I; Van De Kamp, M; Verronen, PT; Versick, S;This paper describes the recommended solar forcing dataset for CMIP6 and highlights changes with respect to CMIP5. The solar forcing is provided for radiative properties, namely total solar irradiance (TSI), solar spectral irradiance (SSI), and the F10.7 index as well as particle forcing, including geomagnetic indices Ap and Kp, and ionization rates to account for effects of solar protons, electrons, and galactic cosmic rays. This is the first time that a recommendation for solar-driven particle forcing has been provided for a CMIP exercise. The solar forcing datasets are provided at daily and monthly resolution separately for the CMIP6 preindustrial control, historical (1850–2014), and future (2015–2300) simulations. For the preindustrial control simulation, both constant and time-varying solar forcing components are provided, with the latter including variability on 11-year and shorter timescales but no long-term changes. For the future, we provide a realistic scenario of what solar behavior could be, as well as an additional extreme Maunder-minimum-like sensitivity scenario. This paper describes the forcing datasets and also provides detailed recommendations as to their implementation in current climate models.For the historical simulations, the TSI and SSI time series are defined as the average of two solar irradiance models that are adapted to CMIP6 needs: an empirical one (NRLTSI2–NRLSSI2) and a semi-empirical one (SATIRE). A new and lower TSI value is recommended: the contemporary solar-cycle average is now 1361.0 W m−2. The slight negative trend in TSI over the three most recent solar cycles in the CMIP6 dataset leads to only a small global radiative forcing of −0.04 W m−2. In the 200–400 nm wavelength range, which is important for ozone photochemistry, the CMIP6 solar forcing dataset shows a larger solar-cycle variability contribution to TSI than in CMIP5 (50 % compared to 35 %).We compare the climatic effects of the CMIP6 solar forcing dataset to its CMIP5 predecessor by using time-slice experiments of two chemistry–climate models and a reference radiative transfer model. The differences in the long-term mean SSI in the CMIP6 dataset, compared to CMIP5, impact on climatological stratospheric conditions (lower shortwave heating rates of −0.35 K day−1 at the stratopause), cooler stratospheric temperatures (−1.5 K in the upper stratosphere), lower ozone abundances in the lower stratosphere (−3 %), and higher ozone abundances (+1.5 % in the upper stratosphere and lower mesosphere). Between the maximum and minimum phases of the 11-year solar cycle, there is an increase in shortwave heating rates (+0.2 K day−1 at the stratopause), temperatures ( ∼ 1 K at the stratopause), and ozone (+2.5 % in the upper stratosphere) in the tropical upper stratosphere using the CMIP6 forcing dataset. This solar-cycle response is slightly larger, but not statistically significantly different from that for the CMIP5 forcing dataset.CMIP6 models with a well-resolved shortwave radiation scheme are encouraged to prescribe SSI changes and include solar-induced stratospheric ozone variations, in order to better represent solar climate variability compared to models that only prescribe TSI and/or exclude the solar-ozone response. We show that monthly-mean solar-induced ozone variations are implicitly included in the SPARC/CCMI CMIP6 Ozone Database for historical simulations, which is derived from transient chemistry–climate model simulations and has been developed for climate models that do not calculate ozone interactively. CMIP6 models without chemistry that perform a preindustrial control simulation with time-varying solar forcing will need to use a modified version of the SPARC/CCMI Ozone Database that includes solar variability. CMIP6 models with interactive chemistry are also encouraged to use the particle forcing datasets, which will allow the potential long-term effects of particles to be addressed for the first time. The consideration of particle forcing has been shown to significantly improve the representation of reactive nitrogen and ozone variability in the polar middle atmosphere, eventually resulting in further improvements in the representation of solar climate variability in global models.
OceanRep arrow_drop_down University of Oulu Repository - JultikaArticle . 2017License: CC BYData sources: University of Oulu Repository - JultikaOxford University Research ArchiveOther literature type . 2019License: CC BYData sources: Oxford University Research ArchiveGeoscientific Model Development (GMD)Other literature type . 2018Data sources: Copernicus PublicationsMémoires en Sciences de l'Information et de la CommunicationArticle . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5445/ir/1000071026&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 53visibility views 53 download downloads 584 Powered bymore_vert OceanRep arrow_drop_down University of Oulu Repository - JultikaArticle . 2017License: CC BYData sources: University of Oulu Repository - JultikaOxford University Research ArchiveOther literature type . 2019License: CC BYData sources: Oxford University Research ArchiveGeoscientific Model Development (GMD)Other literature type . 2018Data sources: Copernicus PublicationsMémoires en Sciences de l'Information et de la CommunicationArticle . 2017add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5445/ir/1000071026&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2019 FrancePublisher:SAGE Publications Funded by:AKA | Multilevel traffic simula..., UKRI | TRANSITION: Transport saf..., ANR | AutoConductAKA| Multilevel traffic simulation with cognitive basis / Consortium: MULSIMCO ,UKRI| TRANSITION: Transport safety in automated vehicles ,ANR| AutoConductMole, CD; Lappi, O; Giles, O; Markkula, G; Mars, F; Wilkie, RM;pmid: 30840514
Objective: To present a structured, narrative review highlighting research into human perceptual-motor coordination that can be applied to automated vehicle (AV)–human transitions. Background: Manual control of vehicles is made possible by the coordination of perceptual-motor behaviors (gaze and steering actions), where active feedback loops enable drivers to respond rapidly to ever-changing environments. AVs will change the nature of driving to periods of monitoring followed by the human driver taking over manual control. The impact of this change is currently poorly understood. Method: We outline an explanatory framework for understanding control transitions based on models of human steering control. This framework can be summarized as a perceptual-motor loop that requires (a) calibration and (b) gaze and steering coordination. A review of the current experimental literature on transitions is presented in the light of this framework. Results: The success of transitions are often measured using reaction times, however, the perceptual-motor mechanisms underpinning steering quality remain relatively unexplored. Conclusion: Modeling the coordination of gaze and steering and the calibration of perceptual-motor control will be crucial to ensure safe and successful transitions out of automated driving. Application: This conclusion poses a challenge for future research on AV-human transitions. Future studies need to provide an understanding of human behavior that will be sufficient to capture the essential characteristics of drivers reengaging control of their vehicle. The proposed framework can provide a guide for investigating specific components of human control of steering and potential routes to improving manual control recovery.
CORE (RIOXX-UK Aggre... arrow_drop_down Human Factors The Journal of the Human Factors and Ergonomics SocietyArticleData sources: UnpayWallHuman Factors The Journal of the Human Factors and Ergonomics SocietyArticle . 2019 . Peer-reviewedLicense: SAGE TDMData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2019Full-Text: https://hal.science/hal-02108005/documentHuman Factors The Journal of the Human Factors and Ergonomics SocietyArticle . 2019Data sources: Europe PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1177/0018720819829594&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 39 citations 39 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 30visibility views 30 download downloads 568 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Human Factors The Journal of the Human Factors and Ergonomics SocietyArticleData sources: UnpayWallHuman Factors The Journal of the Human Factors and Ergonomics SocietyArticle . 2019 . Peer-reviewedLicense: SAGE TDMData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2019Full-Text: https://hal.science/hal-02108005/documentHuman Factors The Journal of the Human Factors and Ergonomics SocietyArticle . 2019Data sources: Europe PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1177/0018720819829594&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2020 Germany, Netherlands, Belgium, Germany, France, France, BelgiumPublisher:Copernicus GmbH Funded by:EC | TiPACCs, AKA | The impact of Antarctic I..., NSF | The Management and Operat... +8 projectsEC| TiPACCs ,AKA| The impact of Antarctic Ice Sheet - Southern Ocean interactions on marine ice sheet stability and ocean circulation/ Consortium: COLD ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR) ,NWO| Perturbations of System Earth: Reading the Past to Project the Future - A proposal to create the Netherlands Earth System Science Centre (ESSC) ,NWO| Quality assured industrial scale production of eave tube inserts for malaria control in Africa ,AKA| Simulating Antarctic marine ice sheet stability and multi-century contributions to sea level rise ,NSF| NSF-NERC: PROcesses, drivers, Predictions: Modeling the response of Thwaites Glacier over the next Century using Ice/Ocean Coupled Models (PROPHET) ,EC| ERA-PLANET ,ANR| TROIS-AS ,NSF| RAPID: Ocean Forcing for Ice Sheet Models for the IPCC Sixth Assessment Report ,ARC| Special Research Initiatives - Grant ID: SR140300001H. Seroussi; S. Nowicki; A. J. Payne; H. Goelzer; H. Goelzer; W. H. Lipscomb; A. Abe-Ouchi; C. Agosta; T. Albrecht; X. Asay-Davis; A. Barthel; R. Calov; R. Cullather; C. Dumas; B. K. Galton-Fenzi; R. Gladstone; N. R. Golledge; J. M. Gregory; J. M. Gregory; R. Greve; R. Greve; T. Hattermann; T. Hattermann; M. J. Hoffman; A. Humbert; A. Humbert; P. Huybrechts; N. C. Jourdain; T. Kleiner; E. Larour; G. R. Leguy; D. P. Lowry; C. M. Little; M. Morlighem; F. Pattyn; T. Pelle; S. F. Price; A. Quiquet; R. Reese; N.-J. Schlegel; A. Shepherd; E. Simon; R. S. Smith; F. Straneo; S. Sun; L. D. Trusel; J. Van Breedam; R. S. W. van de Wal; R. S. W. van de Wal; R. Winkelmann; R. Winkelmann; C. Zhao; T. Zhang; T. Zwinger;Abstract. Ice flow models of the Antarctic ice sheet are commonly used to simulate its future evolution inresponse to different climate scenarios and assess the mass loss that would contribute tofuture sea level rise. However, there is currently no consensus on estimates of the future massbalance of the ice sheet, primarily because of differences in the representation of physicalprocesses, forcings employed and initial states of ice sheet models. This study presentsresults from ice flow model simulations from 13 international groups focusing on the evolutionof the Antarctic ice sheet during the period 2015–2100 as part of the Ice Sheet ModelIntercomparison for CMIP6 (ISMIP6). They are forced with outputs from a subset of models from theCoupled Model Intercomparison Project Phase 5 (CMIP5), representative of the spread in climatemodel results. Simulations of the Antarctic ice sheet contribution to sea level rise in responseto increased warming during this period varies between −7.8 and 30.0 cm of sea level equivalent(SLE) under Representative ConcentrationPathway (RCP) 8.5 scenario forcing. These numbers are relative to a control experiment withconstant climate conditions and should therefore be added to the mass loss contribution underclimate conditions similar to present-day conditions over the same period. The simulated evolution of theWest Antarctic ice sheet varies widely among models, with an overall mass loss, up to 18.0 cm SLE, in response to changes in oceanic conditions. East Antarctica mass change varies between −6.1 and8.3 cm SLE in the simulations, with a significant increase in surface mass balance outweighingthe increased ice discharge under most RCP 8.5 scenario forcings. The inclusion of ice shelfcollapse, here assumed to be caused by large amounts of liquid water ponding at the surface ofice shelves, yields an additional simulated mass loss of 28 mm compared to simulations without iceshelf collapse. The largest sources of uncertainty come from the climate forcing, the ocean-induced melt rates, thecalibration of these melt rates based on oceanic conditions taken outside of ice shelf cavitiesand the ice sheet dynamic response to these oceanic changes. Results under RCP 2.6 scenario basedon two CMIP5 climate models show an additional mass loss of 0 and 3 cm of SLE on average compared tosimulations done under present-day conditions for the two CMIP5 forcings used and displaylimited mass gain in East Antarctica. info:eu-repo/semantics/published
Vrije Universiteit B... arrow_drop_down Vrije Universiteit Brussel Research Portal; The Cryosphere; The Cryosphere (TC)Other literature type . Article . 2020 . Peer-reviewedLicense: CC BYNARCIS; Utrecht University RepositoryArticle . 2020Electronic Publication Information CenterArticle . 2020Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/tc-14-3033-2020&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 188 citations 188 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 5visibility views 5 download downloads 22 Powered bymore_vert Vrije Universiteit B... arrow_drop_down Vrije Universiteit Brussel Research Portal; The Cryosphere; The Cryosphere (TC)Other literature type . Article . 2020 . Peer-reviewedLicense: CC BYNARCIS; Utrecht University RepositoryArticle . 2020Electronic Publication Information CenterArticle . 2020Data sources: Electronic Publication Information Centeradd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/tc-14-3033-2020&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type , Review 2017 Netherlands, United States, Netherlands, Finland, Germany, Denmark, FrancePublisher:Copernicus GmbH Funded by:FWF | Carbonyl sulfide exchange..., AKA | Carbon Balance under Chan..., AKA | Biosphere-Atmosphere Feed... +7 projectsFWF| Carbonyl sulfide exchange between terrestrial ecosystems and the atmosphere ,AKA| Carbon Balance under Changing Processes of Arctic and Subarctic Cryosphere (CARB-ARC) / Consortium: CARB-ARC ,AKA| Biosphere-Atmosphere Feedbacks and Carbon-Water Cycles ,AKA| Biosphere-Atmosphere Feedbacks and Carbon-Water Cycles ,NSF| Collaborative Research: A 1500m Ice Core from South Pole ,NSF| CAREER: Disentangling CO2 Fluxes in a Tropical Rainforest Using Carbonyl Sulfide ,NSF| AGS-PRF: Soil Exchange of Carbonyl Sulfide (COS): Towards an Independent Proxy for Terrestrial Gross Primary Production (GPP) ,EC| SOLCA ,EC| USIFlux ,AKA| Centre of Excellence in Atmospheric Science From Molecular and Biolocigal processes to The Global ClimateM. E. Whelan; M. E. Whelan; S. T. Lennartz; T. E. Gimeno; R. Wehr; G. Wohlfahrt; Y. Wang; L. M. J. Kooijmans; T. W. Hilton; S. Belviso; P. Peylin; R. Commane; W. Sun; H. Chen; L. Kuai; I. Mammarella; K. Maseyk; M. Berkelhammer; K.-F. Li; D. Yakir; A. Zumkehr; Y. Katayama; J. Ogée; F. M. Spielmann; F. Kitz; B. Rastogi; J. Kesselmeier; J. Marshall; K.-M. Erkkilä; L. Wingate; L. K. Meredith; W. He; R. Bunk; T. Launois; T. Vesala; T. Vesala; T. Vesala; J. A. Schmidt; C. G. Fichot; U. Seibt; S. Saleska; E. S. Saltzman; S. A. Montzka; J. A. Berry; J. E. Campbell;For the past decade, observations of carbonyl sulfide (OCS or COS) have been investigated as a proxy for carbon uptake by plants. OCS is destroyed by enzymes that interact with CO2 during photosynthesis, namely carbonic anhydrase (CA) and RuBisCO, where CA is the more important one. The majority of sources of OCS to the atmosphere are geographically separated from this large plant sink, whereas the sources and sinks of CO2 are co-located in ecosystems. The drawdown of OCS can therefore be related to the uptake of CO2 without the added complication of co-located emissions comparable in magnitude. Here we review the state of our understanding of the global OCS cycle and its applications to ecosystem carbon cycle science. OCS uptake is correlated well to plant carbon uptake, especially at the regional scale. OCS can be used in conjunction with other independent measures of ecosystem function, like solar-induced fluorescence and carbon and water isotope studies. More work needs to be done to generate global coverage for OCS observations and to link this powerful atmospheric tracer to systems where fundamental questions concerning the carbon and water cycle remain.
OceanRep arrow_drop_down eScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaCopenhagen University Research Information SystemArticle . 2018Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaHELDA - Digital Repository of the University of HelsinkiReview . 2018 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiMémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . 2018License: CC BYFull-Text: https://hal.science/hal-02104411/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-2017-427&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 94 citations 94 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!download 91download downloads 91 Powered bymore_vert OceanRep arrow_drop_down eScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaCopenhagen University Research Information SystemArticle . 2018Data sources: Copenhagen University Research Information SystemeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaeScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of CaliforniaHELDA - Digital Repository of the University of HelsinkiReview . 2018 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiMémoires en Sciences de l'Information et de la Communication; HAL-CEAArticle . 2018License: CC BYFull-Text: https://hal.science/hal-02104411/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-2017-427&type=result"></script>'); --> </script>
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