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description Publicationkeyboard_double_arrow_right Article , Preprint 2021 FrancePublisher:Royal Society of Chemistry (RSC) Authors: Riccardo Artoni; Michele Larcher; James T. Jenkins; Patrick Richard;Riccardo Artoni; Michele Larcher; James T. Jenkins; Patrick Richard;pmid: 33523071
We report on measurements of self-diffusion coefficients in discrete numerical simulations of steady, homogeneous, collisional shearing flows of nearly identical, frictional, inelastic spheres. We focus on a range of relatively high solid volume fractions that are important in those terrestrial gravitational shearing flows that are dominated by collisional interactions. Diffusion over this range of solid fraction has not been well characterized in previous studies. We first compare the measured values with an empirical scaling based on shear rate previously proposed in the literature, and highlight the presence of anisotropy and the solid fraction dependence. We then compare the numerical measurements with those predicted by the kinetic theory for shearing flows of inelastic spheres and offer an explanation for why the measured and predicted values differ. Comment: Published in Soft Matterhttps://pubs.rsc.org/en/content/articlelanding/2021/sm/d0sm01846e\#!divAbstract
Soft Matter arrow_drop_down Soft MatterArticle . 2021 . Peer-reviewedLicense: Royal Society of Chemistry Licence to PublishData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2021Full-Text: https://hal.science/hal-03185847/documenthttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Soft Matter arrow_drop_down Soft MatterArticle . 2021 . Peer-reviewedLicense: Royal Society of Chemistry Licence to PublishData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2021Full-Text: https://hal.science/hal-03185847/documenthttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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 , Preprint , Other literature type 2019 Norway, France, France, United Kingdom, Netherlands, France, Germany, Germany, Germany, Norway, Germany, France, Switzerland, Norway, SwitzerlandPublisher:Copernicus GmbH Publicly fundedFunded by:NSF | Understanding Fire-Human ..., EC | AtlantOS, NSF | The Management and Operat... +11 projectsNSF| Understanding Fire-Human Dynamics Along a Forest-Steppe Ecotone ,EC| AtlantOS ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR) ,EC| QUINCY ,EC| VERIFY ,EC| 4C ,EC| RINGO ,EC| GEOCARBON ,EC| CRESCENDO ,NWO| The distribution and evolution of inert and reactant scalars: from the atmospheric boundary layer to continental scales ,EC| IMBALANCE-P ,EC| CHE ,NSF| INFEWS: U.S.-China: Integrated systems modeling for sustainable FEW nexus under multi-factor global changes: Innovative comparison between Yellow River and Mississippi River Basins ,UKRI| Amazon Integrated Carbon Analysis / AMAZONICAP. Friedlingstein; P. Friedlingstein; M. W. Jones; M. O'Sullivan; R. M. Andrew; J. Hauck; G. P. Peters; W. Peters; W. Peters; J. Pongratz; J. Pongratz; S. Sitch; C. Le Quéré; D. C. E. Bakker; J. G. Canadell; P. Ciais; R. B. Jackson; P. Anthoni; L. Barbero; L. Barbero; A. Bastos; V. Bastrikov; M. Becker; M. Becker; L. Bopp; E. Buitenhuis; N. Chandra; F. Chevallier; L. P. Chini; K. I. Currie; R. A. Feely; M. Gehlen; D. Gilfillan; T. Gkritzalis; D. S. Goll; N. Gruber; S. Gutekunst; I. Harris; V. Haverd; R. A. Houghton; G. Hurtt; T. Ilyina; A. K. Jain; E. Joetzjer; J. O. Kaplan; E. Kato; K. Klein Goldewijk; K. Klein Goldewijk; J. I. Korsbakken; P. Landschützer; S. K. Lauvset; S. K. Lauvset; N. Lefèvre; A. Lenton; A. Lenton; S. Lienert; D. Lombardozzi; G. Marland; P. C. McGuire; J. R. Melton; N. Metzl; D. R. Munro; J. E. M. S. Nabel; S.-I. Nakaoka; C. Neill; A. M. Omar; A. M. Omar; T. Ono; A. Peregon; A. Peregon; D. Pierrot; D. Pierrot; B. Poulter; G. Rehder; L. Resplandy; E. Robertson; C. Rödenbeck; R. Séférian; J. Schwinger; J. Schwinger; N. Smith; N. Smith; P. P. Tans; H. Tian; B. Tilbrook; B. Tilbrook; F. N. Tubiello; G. R. van der Werf; A. J. Wiltshire; S. Zaehle;Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFF) are based on energy statistics and cement production data, while emissions from land use change (ELUC), mainly deforestation, are based on land use and land use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2009–2018), EFF was 9.5±0.5 GtC yr−1, ELUC 1.5±0.7 GtC yr−1, GATM 4.9±0.02 GtC yr−1 (2.3±0.01 ppm yr−1), SOCEAN 2.5±0.6 GtC yr−1, and SLAND 3.2±0.6 GtC yr−1, with a budget imbalance BIM of 0.4 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For the year 2018 alone, the growth in EFF was about 2.1 % and fossil emissions increased to 10.0±0.5 GtC yr−1, reaching 10 GtC yr−1 for the first time in history, ELUC was 1.5±0.7 GtC yr−1, for total anthropogenic CO2 emissions of 11.5±0.9 GtC yr−1 (42.5±3.3 GtCO2). Also for 2018, GATM was 5.1±0.2 GtC yr−1 (2.4±0.1 ppm yr−1), SOCEAN was 2.6±0.6 GtC yr−1, and SLAND was 3.5±0.7 GtC yr−1, with a BIM of 0.3 GtC. The global atmospheric CO2 concentration reached 407.38±0.1 ppm averaged over 2018. For 2019, preliminary data for the first 6–10 months indicate a reduced growth in EFF of +0.6 % (range of −0.2 % to 1.5 %) based on national emissions projections for China, the USA, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. Overall, the mean and trend in the five components of the global carbon budget are consistently estimated over the period 1959–2018, but discrepancies of up to 1 GtC yr−1 persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations shows (1) no consensus in the mean and trend in land use change emissions over the last decade, (2) a persistent low agreement between the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent underestimation of the CO2 variability by ocean models outside the tropics. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding of the global carbon cycle compared with previous publications of this data set (Le Quéré et al., 2018a, b, 2016, 2015a, b, 2014, 2013). The data generated by this work are available at https://doi.org/10.18160/gcp-2019 (Friedlingstein et al., 2019). Earth System Science Data, 11 (4) ISSN:1866-3508 ISSN:1866-3516
NARCIS; Earth System... arrow_drop_down NARCIS; Earth System Science Data (ESSD)Article . 2019University of East Anglia digital repositoryArticle . 2019 . Peer-reviewedData sources: University of East Anglia digital repositoryResearch@WUR; Earth System Science Data (ESSD); Earth System Science DataOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYhttps://doi.org/10.5194/essd-2...Preprint . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefBergen Open Research Archive - UiBArticle . 2019 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBArchiMer - Institutional Archive of IfremerOther literature type . 2019Data sources: ArchiMer - Institutional Archive of IfremerElectronic Publication Information CenterArticle . 2019Data sources: Electronic Publication Information CenterBern Open Repository and Information System (BORIS)Article . 2019 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)add 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 1K citations 1,070 popularity Top 0.01% influence Top 1% impulse Top 0.01% Powered by BIP!visibility 2visibility views 2 download downloads 19 Powered bymore_vert NARCIS; Earth System... arrow_drop_down NARCIS; Earth System Science Data (ESSD)Article . 2019University of East Anglia digital repositoryArticle . 2019 . Peer-reviewedData sources: University of East Anglia digital repositoryResearch@WUR; Earth System Science Data (ESSD); Earth System Science DataOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYhttps://doi.org/10.5194/essd-2...Preprint . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefBergen Open Research Archive - UiBArticle . 2019 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBArchiMer - Institutional Archive of IfremerOther literature type . 2019Data sources: ArchiMer - Institutional Archive of IfremerElectronic Publication Information CenterArticle . 2019Data sources: Electronic Publication Information CenterBern Open Repository and Information System (BORIS)Article . 2019 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)add 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 , Preprint , Other literature type 2019 France, France, Germany, France, Norway, France, SpainPublisher:Copernicus GmbH Publicly fundedFunded by:EC | AtlantOS, NSF | Support for International..., EC | RINGOEC| AtlantOS ,NSF| Support for International Ocean Science Activities Through SCOR ,EC| RINGOAre Olsen; Nico Lange; Robert M. Key; Toste Tanhua; Marta Álvarez; Susan Becker; Henry C. Bittig; Brendan R. Carter; Leticia Cotrim da Cunha; Richard A. Feely; Steven van Heuven; Mario Hoppema; Masao Ishii; Emil Jeansson; Steve D Jones; Sara Jutterström; Maren K. Karlsen; Alex Kozyr; Siv K. Lauvset; Claire Lo Monaco; Akihiko Murata; Fiz F. Pérez; Benjamin Pfeil; Carsten Schirnick; Reiner Steinfeldt; Toru Suzuki; Maciej Telszewski; Bronte Tilbrook; Anton Velo; Rik Wanninkhof;handle: 10261/192282
The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface to bottom ocean biogeochemical data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of water samples. This update of GLODAPv2, v2.2019, adds data from 116 cruises to the previous version, extending its coverage in time from 2013 to 2017, while also adding some data from prior years. GLODAPv2.2019 includes measurements from more than 1.1 million water samples from the global oceans collected on 840 cruises. The data for the 12 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, CFC-11, CFC-12, CFC-113, and CCl4) have undergone extensive quality control, especially systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but updated to WOCE exchange format and (ii) as a merged data product with adjustments applied to minimize bias. These adjustments were derived by comparing the data from the 116 new cruises with the data from the 724 quality-controlled cruises of the GLODAPv2 data product. They correct for errors related to measurement, calibration, and data handling practices, taking into account any known or likely time trends or variations. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1% in oxygen, 2% in nitrate, 2% in silicate, 2% in phosphate, 4 μmol kg1 in dissolved inorganic carbon, 4 μmol kg1 in total alkalinity, 0.01–0.02 in pH, and 5% in the halogenated transient tracers. The compilation also includes data for several other variables, such as isotopic tracers. These were not subjected to bias comparison or adjustments. The original data, their documentation and DOI codes are available in the Ocean Carbon Data System of NOAA NCEI (https://www.nodc.noaa.gov/ocads/oceans/GLODAPv2_2019/, last access: 17 September 2019). This site also provides access to the merged data product, which is provided as a single global file and as four regional ones – the Arctic, Atlantic, Indian, and Pacific oceans – under https://doi.org/10.25921/xnme-wr20 (Olsen et al., 2019). The product files also include significant ancillary and approximated data. These were obtained by interpolation of, or calculation from, measured data. This paper documents the GLODAPv2.2019 methods and provides a broad overview of the secondary quality control procedures and results. This research has been supported by the Horizon 2020 (AtlantOS (grant no. 633211)), the National Science Foundation (grant no. OCE-1840868), and the National Oceanic and Atmospheric Administration (grant nos. NA14OAR4320106 and N8R3CEAPDM). 25 pages, 9 figures, 8 tables.-- This work is distributed under the Creative Commons Attribution 4.0 License. Peer reviewed
Earth System Science... arrow_drop_down Earth System Science Data (ESSD)Other literature type . Article . 2019 . Peer-reviewedLicense: CC BYRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2019 . Peer-reviewedhttps://doi.org/10.5194/essd-2...Preprint . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefArchiMer - Institutional Archive of IfremerOther literature type . 2019Data sources: ArchiMer - Institutional Archive of IfremerElectronic Publication Information CenterArticle . 2019Data 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 109 citations 109 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 28visibility views 28 download downloads 93 Powered bymore_vert Earth System Science... arrow_drop_down Earth System Science Data (ESSD)Other literature type . Article . 2019 . Peer-reviewedLicense: CC BYRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2019 . Peer-reviewedhttps://doi.org/10.5194/essd-2...Preprint . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefArchiMer - Institutional Archive of IfremerOther literature type . 2019Data sources: ArchiMer - Institutional Archive of IfremerElectronic Publication Information CenterArticle . 2019Data 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2016 Switzerland, United Kingdom, France, United Kingdom, France, France, Germany, France, France, France, Norway, Netherlands, Germany, Germany, NorwayPublisher:Copernicus GmbH Publicly fundedFunded by:EC | IMBALANCE-P, EC | QUINCY, NWO | The distribution and evol... +5 projectsEC| IMBALANCE-P ,EC| QUINCY ,NWO| The distribution and evolution of inert and reactant scalars: from the atmospheric boundary layer to continental scales ,EC| AtlantOS ,EC| LUC4C ,EC| CRESCENDO ,NSF| Collaborative Research: Improved Regional and Decadal Predictions of the Carbon Cycle ,NSF| Collaborative Research: High-Resolution Underway Air-Sea Observations in Drake Passage for Climate ScienceCorinne Le Quéré; Robbie M. Andrew; Josep G. Canadell; Stephen Sitch; Jan Ivar Korsbakken; Glen P. Peters; Andrew C. Manning; Thomas A. Boden; Pieter P. Tans; Richard A. Houghton; Ralph F. Keeling; Simone R. Alin; Oliver Andrews; Peter Anthoni; Leticia Barbero; Laurent Bopp; Frédéric Chevallier; Louise Chini; Philippe Ciais; Kim I. Currie; Christine Delire; Scott C. Doney; Pierre Friedlingstein; Thanos Gkritzalis; Ian Harris; Judith Hauck; Vanessa Haverd; Mario Hoppema; Kees Klein Goldewijk; Atul K. Jain; Etsushi Kato; Arne Körtzinger; Peter Landschützer; Nathalie Lefèvre; Andrew Lenton; Sebastian Lienert; Danica Lombardozzi; Joe R. Melton; Nicolas Metzl; Frank J. Millero; Pedro M. S. Monteiro; David R. Munro; Julia E. M. S. Nabel; Shin-Ichiro Nakaoka; K. O'Brien; Are Olsen; Abdirahman M Omar; Tsuneo Ono; Denis Pierrot; Benjamin Poulter; Christian Rödenbeck; Joe Salisbury; Ute Schuster; Jörg Schwinger; Roland Séférian; Ingunn Skjelvan; Benjamin D. Stocker; Adrienne J. Sutton; Taro Takahashi; Hanqin Tian; Bronte Tilbrook; Ingrid T. van der Laan-Luijkx; Guido R. van der Werf; Nicolas Viovy; Anthony P. Walker; Andy Wiltshire; Sönke Zaehle;Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates and consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models. We compare the mean land and ocean fluxes and their variability to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as ±1σ, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2006–2015), EFF was 9.3 ± 0.5 GtC yr−1, ELUC 1.0 ± 0.5 GtC yr−1, GATM 4.5 ± 0.1 GtC yr−1, SOCEAN 2.6 ± 0.5 GtC yr−1, and SLAND 3.1 ± 0.9 GtC yr−1. For year 2015 alone, the growth in EFF was approximately zero and emissions remained at 9.9 ± 0.5 GtC yr−1, showing a slowdown in growth of these emissions compared to the average growth of 1.8 % yr−1 that took place during 2006–2015. Also, for 2015, ELUC was 1.3 ± 0.5 GtC yr−1, GATM was 6.3 ± 0.2 GtC yr−1, SOCEAN was 3.0 ± 0.5 GtC yr−1, and SLAND was 1.9 ± 0.9 GtC yr−1. GATM was higher in 2015 compared to the past decade (2006–2015), reflecting a smaller SLAND for that year. The global atmospheric CO2 concentration reached 399.4 ± 0.1 ppm averaged over 2015. For 2016, preliminary data indicate the continuation of low growth in EFF with +0.2 % (range of −1.0 to +1.8 %) based on national emissions projections for China and USA, and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. In spite of the low growth of EFF in 2016, the growth rate in atmospheric CO2 concentration is expected to be relatively high because of the persistence of the smaller residual terrestrial sink (SLAND) in response to El Niño conditions of 2015–2016. From this projection of EFF and assumed constant ELUC for 2016, cumulative emissions of CO2 will reach 565 ± 55 GtC (2075 ± 205 GtCO2) for 1870–2016, about 75 % from EFF and 25 % from ELUC. This living data update documents changes in the methods and data sets used in this new carbon budget compared with previous publications of this data set (Le Quéré et al., 2015b, a, 2014, 2013). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_2016).
NARCIS; Utrecht Univ... arrow_drop_down NARCIS; Utrecht University RepositoryArticle . 2016Research@WUR; Earth System Science Data (ESSD); Earth System Science DataOther literature type . Article . 2016 . Peer-reviewedLicense: CC BYUniversity of East Anglia digital repositoryArticle . 2016 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2016 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Electronic Publication Information CenterArticle . 2016Data sources: Electronic Publication Information CenterArchiMer - Institutional Archive of IfremerOther literature type . 2016Data sources: ArchiMer - Institutional Archive of IfremerBergen Open Research Archive - UiBArticle . 2016 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBhttps://doi.org/10.5194/essd-2...Preprint . 2016 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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 847 citations 847 popularity Top 0.1% influence Top 1% impulse Top 0.01% Powered by BIP!visibility 4visibility views 4 download downloads 184 Powered bymore_vert NARCIS; Utrecht Univ... arrow_drop_down NARCIS; Utrecht University RepositoryArticle . 2016Research@WUR; Earth System Science Data (ESSD); Earth System Science DataOther literature type . Article . 2016 . Peer-reviewedLicense: CC BYUniversity of East Anglia digital repositoryArticle . 2016 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2016 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Electronic Publication Information CenterArticle . 2016Data sources: Electronic Publication Information CenterArchiMer - Institutional Archive of IfremerOther literature type . 2016Data sources: ArchiMer - Institutional Archive of IfremerBergen Open Research Archive - UiBArticle . 2016 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBhttps://doi.org/10.5194/essd-2...Preprint . 2016 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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 Other literature type , Article , Preprint 2012 France, France, France, Germany, FrancePublisher:Copernicus GmbH Publicly fundedFunded by:ANR | DUNE, EC | DAPOPANR| DUNE ,EC| DAPOPKathrin Wuttig; Thibaut Wagener; Matthieu Bressac; Anna Dammshäuser; Peter Streu; Cécile Guieu; Peter Croot;Abstract. The deposition of atmospheric dust is the primary process supplying trace elements abundant in crustal rocks (e.g. Al, Mn and Fe) to the surface ocean. Upon deposition, the residence time in surface waters for each of these elements differs according to their chemical speciation and biological utilization. Presently, however, the chemical and physical processes occurring after atmospheric deposition are poorly constrained, principally because of the difficulty in following natural dust events in situ. In the present work we examined the temporal changes in the biogeochemistry of crustal metals (in particular Al, Mn and Fe) after an artificial dust deposition event. The experiment was contained inside trace metal clean mesocosms (0–12.5 m depths) deployed in the surface waters of the northwestern Mediterranean, close to the coast of Corsica within the frame of the DUNE project (a DUst experiment in a low Nutrient, low chlorophyll Ecosystem). Two consecutive artificial dust deposition events, each mimicking a wet deposition of 10 g m−2 of dust, were performed during the course of this DUNE-2 experiment. The changes in dissolved manganese (Mn), iron (Fe) and aluminum (Al) concentrations were followed immediately after the seeding with dust and over the following week. The Mn, Fe and Al inventories and loss or dissolution rates were determined. The evolution of the inventories after the two consecutive additions of dust showed distinct behaviors for dissolved Mn, Al and Fe. Even though the mixing conditions differed from one seeding to the other, Mn and Al showed clear increases directly after both seedings due to dissolution processes. Three days after the dust additions, Al concentrations decreased as a consequence of scavenging on sinking particles. Al appeared to be highly affected by the concentrations of biogenic particles, with an order of magnitude difference in its loss rates related to the increase of biomass after the addition of dust. In the case of dissolved Fe, it appears that the first dust addition resulted in a decrease as it was scavenged by sinking dust particles, whereas the second seeding induced dissolution of Fe from the dust particles due to the excess Fe binding ligand concentrations present at that time. This difference, which might be related to a change in Fe binding ligand concentration in the mesocosms, highlights the complex processes that control the solubility of Fe. Based on the inventories at the mesocosm scale, the estimations of the fractional solubility of metals from dust particles in seawater were 1.44 &pm; 0.19% and 0.91 ± 0.83% for Al and 41 ± 9% and 27 ± 19% for Mn for the first and the second dust addition. These values are in good agreement with laboratory-based estimates. For Fe no fractional solubility was obtained after the first seeding, but 0.12 ± 0.03% was estimated after the second seeding. Overall, the trace metal dataset presented here makes a significant contribution to enhancing our knowledge on the processes influencing trace metal release from Saharan dust and the subsequent processes of bio-uptake and scavenging in a low nutrient, low chlorophyll area.
OceanRep arrow_drop_down HAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-IRD; HAL-UPMCArticle . 2013License: CC BYFull-Text: https://hal.science/hal-01830195/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/bgd-9-13857-2012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 50 citations 50 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert OceanRep arrow_drop_down HAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-IRD; HAL-UPMCArticle . 2013License: CC BYFull-Text: https://hal.science/hal-01830195/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/bgd-9-13857-2012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2012 France, France, IrelandPublisher:Elsevier BV Publicly fundedFunded by:IRCIRCAisling Ní Annaidh; Karine Bruyere; Michel Destrade; Michael D. Gilchrist; Mélanie Ottenio;The mechanical properties of skin are important for a number of applications including surgery, dermatology, impact biomechanics and forensic science. In this study, we have investigated the influence of location and orientation on the deformation characteristics of 56 samples of excised human skin. Uniaxial tensile tests were carried out at a strain rate of 0.012 s−1 on skin from the back. Digital Image Correlation was used for 2D strain measurement and a histological examination of the dermis was also performed. The mean ultimate tensile strength (UTS) was 21.6±8.4 MPa, the mean failure strain 54%±17%, the mean initial slope 1.18±0.88 MPa, the mean elastic modulus 83.3±34.9 MPa and the mean strain energy was 3.6±1.6 MJ/m3. A multivariate analysis of variance has shown that these mechanical properties of skin are dependent upon the orientation of the Langer lines (P<0.0001−P=0.046). The location of specimens on the back was also found to have a significant effect on the UTS (P=0.0002), the elastic modulus (P=0.001) and the strain energy (P=0.0052). The histological investigation concluded that there is a definite correlation between the orientation of the Langer lines and the preferred orientation of collagen fibres in the dermis (P<0.001). The data obtained in this study will provide essential information for those wishing to model the skin using a structural constitutive model. Deposited by bulk import TS 27.09.13
Access to Research a... arrow_drop_down Access to Research at National University of Ireland, GalwayArticle . 2012 . Peer-reviewedJournal of the Mechanical Behavior of Biomedical MaterialsArticle . 2012 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2013License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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=10.1016/j.jmbbm.2011.08.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 532 citations 532 popularity Top 0.1% influence Top 1% impulse Top 1% Powered by BIP!more_vert Access to Research a... arrow_drop_down Access to Research at National University of Ireland, GalwayArticle . 2012 . Peer-reviewedJournal of the Mechanical Behavior of Biomedical MaterialsArticle . 2012 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2013License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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 Article , Preprint 2021 FrancePublisher:Royal Society of Chemistry (RSC) Authors: Riccardo Artoni; Michele Larcher; James T. Jenkins; Patrick Richard;Riccardo Artoni; Michele Larcher; James T. Jenkins; Patrick Richard;pmid: 33523071
We report on measurements of self-diffusion coefficients in discrete numerical simulations of steady, homogeneous, collisional shearing flows of nearly identical, frictional, inelastic spheres. We focus on a range of relatively high solid volume fractions that are important in those terrestrial gravitational shearing flows that are dominated by collisional interactions. Diffusion over this range of solid fraction has not been well characterized in previous studies. We first compare the measured values with an empirical scaling based on shear rate previously proposed in the literature, and highlight the presence of anisotropy and the solid fraction dependence. We then compare the numerical measurements with those predicted by the kinetic theory for shearing flows of inelastic spheres and offer an explanation for why the measured and predicted values differ. Comment: Published in Soft Matterhttps://pubs.rsc.org/en/content/articlelanding/2021/sm/d0sm01846e\#!divAbstract
Soft Matter arrow_drop_down Soft MatterArticle . 2021 . Peer-reviewedLicense: Royal Society of Chemistry Licence to PublishData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2021Full-Text: https://hal.science/hal-03185847/documenthttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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=10.1039/d0sm01846e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Soft Matter arrow_drop_down Soft MatterArticle . 2021 . Peer-reviewedLicense: Royal Society of Chemistry Licence to PublishData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2021Full-Text: https://hal.science/hal-03185847/documenthttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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=10.1039/d0sm01846e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2019 Norway, France, France, United Kingdom, Netherlands, France, Germany, Germany, Germany, Norway, Germany, France, Switzerland, Norway, SwitzerlandPublisher:Copernicus GmbH Publicly fundedFunded by:NSF | Understanding Fire-Human ..., EC | AtlantOS, NSF | The Management and Operat... +11 projectsNSF| Understanding Fire-Human Dynamics Along a Forest-Steppe Ecotone ,EC| AtlantOS ,NSF| The Management and Operation of the National Center for Atmoshperic Research (NCAR) ,EC| QUINCY ,EC| VERIFY ,EC| 4C ,EC| RINGO ,EC| GEOCARBON ,EC| CRESCENDO ,NWO| The distribution and evolution of inert and reactant scalars: from the atmospheric boundary layer to continental scales ,EC| IMBALANCE-P ,EC| CHE ,NSF| INFEWS: U.S.-China: Integrated systems modeling for sustainable FEW nexus under multi-factor global changes: Innovative comparison between Yellow River and Mississippi River Basins ,UKRI| Amazon Integrated Carbon Analysis / AMAZONICAP. Friedlingstein; P. Friedlingstein; M. W. Jones; M. O'Sullivan; R. M. Andrew; J. Hauck; G. P. Peters; W. Peters; W. Peters; J. Pongratz; J. Pongratz; S. Sitch; C. Le Quéré; D. C. E. Bakker; J. G. Canadell; P. Ciais; R. B. Jackson; P. Anthoni; L. Barbero; L. Barbero; A. Bastos; V. Bastrikov; M. Becker; M. Becker; L. Bopp; E. Buitenhuis; N. Chandra; F. Chevallier; L. P. Chini; K. I. Currie; R. A. Feely; M. Gehlen; D. Gilfillan; T. Gkritzalis; D. S. Goll; N. Gruber; S. Gutekunst; I. Harris; V. Haverd; R. A. Houghton; G. Hurtt; T. Ilyina; A. K. Jain; E. Joetzjer; J. O. Kaplan; E. Kato; K. Klein Goldewijk; K. Klein Goldewijk; J. I. Korsbakken; P. Landschützer; S. K. Lauvset; S. K. Lauvset; N. Lefèvre; A. Lenton; A. Lenton; S. Lienert; D. Lombardozzi; G. Marland; P. C. McGuire; J. R. Melton; N. Metzl; D. R. Munro; J. E. M. S. Nabel; S.-I. Nakaoka; C. Neill; A. M. Omar; A. M. Omar; T. Ono; A. Peregon; A. Peregon; D. Pierrot; D. Pierrot; B. Poulter; G. Rehder; L. Resplandy; E. Robertson; C. Rödenbeck; R. Séférian; J. Schwinger; J. Schwinger; N. Smith; N. Smith; P. P. Tans; H. Tian; B. Tilbrook; B. Tilbrook; F. N. Tubiello; G. R. van der Werf; A. J. Wiltshire; S. Zaehle;Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFF) are based on energy statistics and cement production data, while emissions from land use change (ELUC), mainly deforestation, are based on land use and land use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2009–2018), EFF was 9.5±0.5 GtC yr−1, ELUC 1.5±0.7 GtC yr−1, GATM 4.9±0.02 GtC yr−1 (2.3±0.01 ppm yr−1), SOCEAN 2.5±0.6 GtC yr−1, and SLAND 3.2±0.6 GtC yr−1, with a budget imbalance BIM of 0.4 GtC yr−1 indicating overestimated emissions and/or underestimated sinks. For the year 2018 alone, the growth in EFF was about 2.1 % and fossil emissions increased to 10.0±0.5 GtC yr−1, reaching 10 GtC yr−1 for the first time in history, ELUC was 1.5±0.7 GtC yr−1, for total anthropogenic CO2 emissions of 11.5±0.9 GtC yr−1 (42.5±3.3 GtCO2). Also for 2018, GATM was 5.1±0.2 GtC yr−1 (2.4±0.1 ppm yr−1), SOCEAN was 2.6±0.6 GtC yr−1, and SLAND was 3.5±0.7 GtC yr−1, with a BIM of 0.3 GtC. The global atmospheric CO2 concentration reached 407.38±0.1 ppm averaged over 2018. For 2019, preliminary data for the first 6–10 months indicate a reduced growth in EFF of +0.6 % (range of −0.2 % to 1.5 %) based on national emissions projections for China, the USA, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. Overall, the mean and trend in the five components of the global carbon budget are consistently estimated over the period 1959–2018, but discrepancies of up to 1 GtC yr−1 persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations shows (1) no consensus in the mean and trend in land use change emissions over the last decade, (2) a persistent low agreement between the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent underestimation of the CO2 variability by ocean models outside the tropics. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding of the global carbon cycle compared with previous publications of this data set (Le Quéré et al., 2018a, b, 2016, 2015a, b, 2014, 2013). The data generated by this work are available at https://doi.org/10.18160/gcp-2019 (Friedlingstein et al., 2019). Earth System Science Data, 11 (4) ISSN:1866-3508 ISSN:1866-3516
NARCIS; Earth System... arrow_drop_down NARCIS; Earth System Science Data (ESSD)Article . 2019University of East Anglia digital repositoryArticle . 2019 . Peer-reviewedData sources: University of East Anglia digital repositoryResearch@WUR; Earth System Science Data (ESSD); Earth System Science DataOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYhttps://doi.org/10.5194/essd-2...Preprint . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefBergen Open Research Archive - UiBArticle . 2019 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBArchiMer - Institutional Archive of IfremerOther literature type . 2019Data sources: ArchiMer - Institutional Archive of IfremerElectronic Publication Information CenterArticle . 2019Data sources: Electronic Publication Information CenterBern Open Repository and Information System (BORIS)Article . 2019 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)add 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/essd-2019-183&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1K citations 1,070 popularity Top 0.01% influence Top 1% impulse Top 0.01% Powered by BIP!visibility 2visibility views 2 download downloads 19 Powered bymore_vert NARCIS; Earth System... arrow_drop_down NARCIS; Earth System Science Data (ESSD)Article . 2019University of East Anglia digital repositoryArticle . 2019 . Peer-reviewedData sources: University of East Anglia digital repositoryResearch@WUR; Earth System Science Data (ESSD); Earth System Science DataOther literature type . Article . 2019 . Peer-reviewedLicense: CC BYhttps://doi.org/10.5194/essd-2...Preprint . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefBergen Open Research Archive - UiBArticle . 2019 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBArchiMer - Institutional Archive of IfremerOther literature type . 2019Data sources: ArchiMer - Institutional Archive of IfremerElectronic Publication Information CenterArticle . 2019Data sources: Electronic Publication Information CenterBern Open Repository and Information System (BORIS)Article . 2019 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)add 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/essd-2019-183&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2019 France, France, Germany, France, Norway, France, SpainPublisher:Copernicus GmbH Publicly fundedFunded by:EC | AtlantOS, NSF | Support for International..., EC | RINGOEC| AtlantOS ,NSF| Support for International Ocean Science Activities Through SCOR ,EC| RINGOAre Olsen; Nico Lange; Robert M. Key; Toste Tanhua; Marta Álvarez; Susan Becker; Henry C. Bittig; Brendan R. Carter; Leticia Cotrim da Cunha; Richard A. Feely; Steven van Heuven; Mario Hoppema; Masao Ishii; Emil Jeansson; Steve D Jones; Sara Jutterström; Maren K. Karlsen; Alex Kozyr; Siv K. Lauvset; Claire Lo Monaco; Akihiko Murata; Fiz F. Pérez; Benjamin Pfeil; Carsten Schirnick; Reiner Steinfeldt; Toru Suzuki; Maciej Telszewski; Bronte Tilbrook; Anton Velo; Rik Wanninkhof;handle: 10261/192282
The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface to bottom ocean biogeochemical data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of water samples. This update of GLODAPv2, v2.2019, adds data from 116 cruises to the previous version, extending its coverage in time from 2013 to 2017, while also adding some data from prior years. GLODAPv2.2019 includes measurements from more than 1.1 million water samples from the global oceans collected on 840 cruises. The data for the 12 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, CFC-11, CFC-12, CFC-113, and CCl4) have undergone extensive quality control, especially systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but updated to WOCE exchange format and (ii) as a merged data product with adjustments applied to minimize bias. These adjustments were derived by comparing the data from the 116 new cruises with the data from the 724 quality-controlled cruises of the GLODAPv2 data product. They correct for errors related to measurement, calibration, and data handling practices, taking into account any known or likely time trends or variations. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1% in oxygen, 2% in nitrate, 2% in silicate, 2% in phosphate, 4 μmol kg1 in dissolved inorganic carbon, 4 μmol kg1 in total alkalinity, 0.01–0.02 in pH, and 5% in the halogenated transient tracers. The compilation also includes data for several other variables, such as isotopic tracers. These were not subjected to bias comparison or adjustments. The original data, their documentation and DOI codes are available in the Ocean Carbon Data System of NOAA NCEI (https://www.nodc.noaa.gov/ocads/oceans/GLODAPv2_2019/, last access: 17 September 2019). This site also provides access to the merged data product, which is provided as a single global file and as four regional ones – the Arctic, Atlantic, Indian, and Pacific oceans – under https://doi.org/10.25921/xnme-wr20 (Olsen et al., 2019). The product files also include significant ancillary and approximated data. These were obtained by interpolation of, or calculation from, measured data. This paper documents the GLODAPv2.2019 methods and provides a broad overview of the secondary quality control procedures and results. This research has been supported by the Horizon 2020 (AtlantOS (grant no. 633211)), the National Science Foundation (grant no. OCE-1840868), and the National Oceanic and Atmospheric Administration (grant nos. NA14OAR4320106 and N8R3CEAPDM). 25 pages, 9 figures, 8 tables.-- This work is distributed under the Creative Commons Attribution 4.0 License. Peer reviewed
Earth System Science... arrow_drop_down Earth System Science Data (ESSD)Other literature type . Article . 2019 . Peer-reviewedLicense: CC BYRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2019 . Peer-reviewedhttps://doi.org/10.5194/essd-2...Preprint . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefArchiMer - Institutional Archive of IfremerOther literature type . 2019Data sources: ArchiMer - Institutional Archive of IfremerElectronic Publication Information CenterArticle . 2019Data 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/essd-2019-66&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 109 citations 109 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!visibility 28visibility views 28 download downloads 93 Powered bymore_vert Earth System Science... arrow_drop_down Earth System Science Data (ESSD)Other literature type . Article . 2019 . Peer-reviewedLicense: CC BYRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2019 . Peer-reviewedhttps://doi.org/10.5194/essd-2...Preprint . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefArchiMer - Institutional Archive of IfremerOther literature type . 2019Data sources: ArchiMer - Institutional Archive of IfremerElectronic Publication Information CenterArticle . 2019Data 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/essd-2019-66&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2016 Switzerland, United Kingdom, France, United Kingdom, France, France, Germany, France, France, France, Norway, Netherlands, Germany, Germany, NorwayPublisher:Copernicus GmbH Publicly fundedFunded by:EC | IMBALANCE-P, EC | QUINCY, NWO | The distribution and evol... +5 projectsEC| IMBALANCE-P ,EC| QUINCY ,NWO| The distribution and evolution of inert and reactant scalars: from the atmospheric boundary layer to continental scales ,EC| AtlantOS ,EC| LUC4C ,EC| CRESCENDO ,NSF| Collaborative Research: Improved Regional and Decadal Predictions of the Carbon Cycle ,NSF| Collaborative Research: High-Resolution Underway Air-Sea Observations in Drake Passage for Climate ScienceCorinne Le Quéré; Robbie M. Andrew; Josep G. Canadell; Stephen Sitch; Jan Ivar Korsbakken; Glen P. Peters; Andrew C. Manning; Thomas A. Boden; Pieter P. Tans; Richard A. Houghton; Ralph F. Keeling; Simone R. Alin; Oliver Andrews; Peter Anthoni; Leticia Barbero; Laurent Bopp; Frédéric Chevallier; Louise Chini; Philippe Ciais; Kim I. Currie; Christine Delire; Scott C. Doney; Pierre Friedlingstein; Thanos Gkritzalis; Ian Harris; Judith Hauck; Vanessa Haverd; Mario Hoppema; Kees Klein Goldewijk; Atul K. Jain; Etsushi Kato; Arne Körtzinger; Peter Landschützer; Nathalie Lefèvre; Andrew Lenton; Sebastian Lienert; Danica Lombardozzi; Joe R. Melton; Nicolas Metzl; Frank J. Millero; Pedro M. S. Monteiro; David R. Munro; Julia E. M. S. Nabel; Shin-Ichiro Nakaoka; K. O'Brien; Are Olsen; Abdirahman M Omar; Tsuneo Ono; Denis Pierrot; Benjamin Poulter; Christian Rödenbeck; Joe Salisbury; Ute Schuster; Jörg Schwinger; Roland Séférian; Ingunn Skjelvan; Benjamin D. Stocker; Adrienne J. Sutton; Taro Takahashi; Hanqin Tian; Bronte Tilbrook; Ingrid T. van der Laan-Luijkx; Guido R. van der Werf; Nicolas Viovy; Anthony P. Walker; Andy Wiltshire; Sönke Zaehle;Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere – the “global carbon budget” – is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics, and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates and consistency within and among components, alongside methodology and data limitations. CO2 emissions from fossil fuels and industry (EFF) are based on energy statistics and cement production data, respectively, while emissions from land-use change (ELUC), mainly deforestation, are based on combined evidence from land-cover change data, fire activity associated with deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the annual changes in concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. The variability in SOCEAN is evaluated with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of independent dynamic global vegetation models. We compare the mean land and ocean fluxes and their variability to estimates from three atmospheric inverse methods for three broad latitude bands. All uncertainties are reported as ±1σ, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2006–2015), EFF was 9.3 ± 0.5 GtC yr−1, ELUC 1.0 ± 0.5 GtC yr−1, GATM 4.5 ± 0.1 GtC yr−1, SOCEAN 2.6 ± 0.5 GtC yr−1, and SLAND 3.1 ± 0.9 GtC yr−1. For year 2015 alone, the growth in EFF was approximately zero and emissions remained at 9.9 ± 0.5 GtC yr−1, showing a slowdown in growth of these emissions compared to the average growth of 1.8 % yr−1 that took place during 2006–2015. Also, for 2015, ELUC was 1.3 ± 0.5 GtC yr−1, GATM was 6.3 ± 0.2 GtC yr−1, SOCEAN was 3.0 ± 0.5 GtC yr−1, and SLAND was 1.9 ± 0.9 GtC yr−1. GATM was higher in 2015 compared to the past decade (2006–2015), reflecting a smaller SLAND for that year. The global atmospheric CO2 concentration reached 399.4 ± 0.1 ppm averaged over 2015. For 2016, preliminary data indicate the continuation of low growth in EFF with +0.2 % (range of −1.0 to +1.8 %) based on national emissions projections for China and USA, and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. In spite of the low growth of EFF in 2016, the growth rate in atmospheric CO2 concentration is expected to be relatively high because of the persistence of the smaller residual terrestrial sink (SLAND) in response to El Niño conditions of 2015–2016. From this projection of EFF and assumed constant ELUC for 2016, cumulative emissions of CO2 will reach 565 ± 55 GtC (2075 ± 205 GtCO2) for 1870–2016, about 75 % from EFF and 25 % from ELUC. This living data update documents changes in the methods and data sets used in this new carbon budget compared with previous publications of this data set (Le Quéré et al., 2015b, a, 2014, 2013). All observations presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_2016).
NARCIS; Utrecht Univ... arrow_drop_down NARCIS; Utrecht University RepositoryArticle . 2016Research@WUR; Earth System Science Data (ESSD); Earth System Science DataOther literature type . Article . 2016 . Peer-reviewedLicense: CC BYUniversity of East Anglia digital repositoryArticle . 2016 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2016 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Electronic Publication Information CenterArticle . 2016Data sources: Electronic Publication Information CenterArchiMer - Institutional Archive of IfremerOther literature type . 2016Data sources: ArchiMer - Institutional Archive of IfremerBergen Open Research Archive - UiBArticle . 2016 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBhttps://doi.org/10.5194/essd-2...Preprint . 2016 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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/essd-2016-51&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 847 citations 847 popularity Top 0.1% influence Top 1% impulse Top 0.01% Powered by BIP!visibility 4visibility views 4 download downloads 184 Powered bymore_vert NARCIS; Utrecht Univ... arrow_drop_down NARCIS; Utrecht University RepositoryArticle . 2016Research@WUR; Earth System Science Data (ESSD); Earth System Science DataOther literature type . Article . 2016 . Peer-reviewedLicense: CC BYUniversity of East Anglia digital repositoryArticle . 2016 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2016 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Electronic Publication Information CenterArticle . 2016Data sources: Electronic Publication Information CenterArchiMer - Institutional Archive of IfremerOther literature type . 2016Data sources: ArchiMer - Institutional Archive of IfremerBergen Open Research Archive - UiBArticle . 2016 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBhttps://doi.org/10.5194/essd-2...Preprint . 2016 . Peer-reviewedLicense: CC BYData sources: Crossrefadd 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/essd-2016-51&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article , Preprint 2012 France, France, France, Germany, FrancePublisher:Copernicus GmbH Publicly fundedFunded by:ANR | DUNE, EC | DAPOPANR| DUNE ,EC| DAPOPKathrin Wuttig; Thibaut Wagener; Matthieu Bressac; Anna Dammshäuser; Peter Streu; Cécile Guieu; Peter Croot;Abstract. The deposition of atmospheric dust is the primary process supplying trace elements abundant in crustal rocks (e.g. Al, Mn and Fe) to the surface ocean. Upon deposition, the residence time in surface waters for each of these elements differs according to their chemical speciation and biological utilization. Presently, however, the chemical and physical processes occurring after atmospheric deposition are poorly constrained, principally because of the difficulty in following natural dust events in situ. In the present work we examined the temporal changes in the biogeochemistry of crustal metals (in particular Al, Mn and Fe) after an artificial dust deposition event. The experiment was contained inside trace metal clean mesocosms (0–12.5 m depths) deployed in the surface waters of the northwestern Mediterranean, close to the coast of Corsica within the frame of the DUNE project (a DUst experiment in a low Nutrient, low chlorophyll Ecosystem). Two consecutive artificial dust deposition events, each mimicking a wet deposition of 10 g m−2 of dust, were performed during the course of this DUNE-2 experiment. The changes in dissolved manganese (Mn), iron (Fe) and aluminum (Al) concentrations were followed immediately after the seeding with dust and over the following week. The Mn, Fe and Al inventories and loss or dissolution rates were determined. The evolution of the inventories after the two consecutive additions of dust showed distinct behaviors for dissolved Mn, Al and Fe. Even though the mixing conditions differed from one seeding to the other, Mn and Al showed clear increases directly after both seedings due to dissolution processes. Three days after the dust additions, Al concentrations decreased as a consequence of scavenging on sinking particles. Al appeared to be highly affected by the concentrations of biogenic particles, with an order of magnitude difference in its loss rates related to the increase of biomass after the addition of dust. In the case of dissolved Fe, it appears that the first dust addition resulted in a decrease as it was scavenged by sinking dust particles, whereas the second seeding induced dissolution of Fe from the dust particles due to the excess Fe binding ligand concentrations present at that time. This difference, which might be related to a change in Fe binding ligand concentration in the mesocosms, highlights the complex processes that control the solubility of Fe. Based on the inventories at the mesocosm scale, the estimations of the fractional solubility of metals from dust particles in seawater were 1.44 &pm; 0.19% and 0.91 ± 0.83% for Al and 41 ± 9% and 27 ± 19% for Mn for the first and the second dust addition. These values are in good agreement with laboratory-based estimates. For Fe no fractional solubility was obtained after the first seeding, but 0.12 ± 0.03% was estimated after the second seeding. Overall, the trace metal dataset presented here makes a significant contribution to enhancing our knowledge on the processes influencing trace metal release from Saharan dust and the subsequent processes of bio-uptake and scavenging in a low nutrient, low chlorophyll area.
OceanRep arrow_drop_down HAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-IRD; HAL-UPMCArticle . 2013License: CC BYFull-Text: https://hal.science/hal-01830195/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/bgd-9-13857-2012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 50 citations 50 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert OceanRep arrow_drop_down HAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-IRD; HAL-UPMCArticle . 2013License: CC BYFull-Text: https://hal.science/hal-01830195/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/bgd-9-13857-2012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2012 France, France, IrelandPublisher:Elsevier BV Publicly fundedFunded by:IRCIRCAisling Ní Annaidh; Karine Bruyere; Michel Destrade; Michael D. Gilchrist; Mélanie Ottenio;The mechanical properties of skin are important for a number of applications including surgery, dermatology, impact biomechanics and forensic science. In this study, we have investigated the influence of location and orientation on the deformation characteristics of 56 samples of excised human skin. Uniaxial tensile tests were carried out at a strain rate of 0.012 s−1 on skin from the back. Digital Image Correlation was used for 2D strain measurement and a histological examination of the dermis was also performed. The mean ultimate tensile strength (UTS) was 21.6±8.4 MPa, the mean failure strain 54%±17%, the mean initial slope 1.18±0.88 MPa, the mean elastic modulus 83.3±34.9 MPa and the mean strain energy was 3.6±1.6 MJ/m3. A multivariate analysis of variance has shown that these mechanical properties of skin are dependent upon the orientation of the Langer lines (P<0.0001−P=0.046). The location of specimens on the back was also found to have a significant effect on the UTS (P=0.0002), the elastic modulus (P=0.001) and the strain energy (P=0.0052). The histological investigation concluded that there is a definite correlation between the orientation of the Langer lines and the preferred orientation of collagen fibres in the dermis (P<0.001). The data obtained in this study will provide essential information for those wishing to model the skin using a structural constitutive model. Deposited by bulk import TS 27.09.13
Access to Research a... arrow_drop_down Access to Research at National University of Ireland, GalwayArticle . 2012 . Peer-reviewedJournal of the Mechanical Behavior of Biomedical MaterialsArticle . 2012 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2013License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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=10.1016/j.jmbbm.2011.08.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 532 citations 532 popularity Top 0.1% influence Top 1% impulse Top 1% Powered by BIP!more_vert Access to Research a... arrow_drop_down Access to Research at National University of Ireland, GalwayArticle . 2012 . Peer-reviewedJournal of the Mechanical Behavior of Biomedical MaterialsArticle . 2012 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2013License: arXiv Non-Exclusive DistributionData sources: Dataciteadd 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=10.1016/j.jmbbm.2011.08.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu