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dc.contributor.authorPeylin, Phillippe
dc.contributor.authorBacour, Cedric
dc.contributor.authorMacBean, Natasha
dc.contributor.authorLeonard, Sebastian
dc.contributor.authorRayner, Peter
dc.contributor.authorKuppel, Sylvain
dc.contributor.authorKoffi, Ernest
dc.contributor.authorKane, Abdou
dc.contributor.authorMaignan, Fabienne
dc.contributor.authorChevallier, Frederic
dc.contributor.authorCiais, Phillippe
dc.contributor.authorPrunet, Pascal
dc.date.accessioned2016-10-26T16:30:31Z
dc.date.available2016-10-26T16:30:31Z
dc.date.issued2016-09-20
dc.identifier68926330
dc.identifierab0567e3-8a1e-4040-8cab-a28a37ebc1c9
dc.identifier84988695358
dc.identifier.citationPeylin , P , Bacour , C , MacBean , N , Leonard , S , Rayner , P , Kuppel , S , Koffi , E , Kane , A , Maignan , F , Chevallier , F , Ciais , P & Prunet , P 2016 , ' A new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycle ' , Geoscientific Model Development , vol. 9 , no. 9 , pp. 3321-3346 . https://doi.org/10.5194/gmd-9-3321-2016en
dc.identifier.issn1991-959X
dc.identifier.urihttp://hdl.handle.net/2164/7600
dc.descriptionAcknowledgements. This work was mainly funded by the EU FP7 CARBONES project (contracts FP7-SPACE-2009-1-242316), with also a small contribution from GEOCARBON project (ENV.2011.4.1.1-1-283080). This work used eddy covariance data acquired by the FLUXNET community and in particular by the following networks: AmeriFlux (U.S. Department of Energy, Biological and Environmental Research, Terrestrial Carbon Program; DE-FG02-04ER63917 and DE-FG02-04ER63911), AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada (supported by CFCAS, NSERC, BIOCAP, Environment Canada, and NRCan), GreenGrass, KoFlux, LBA, NECC, OzFlux, TCOS-Siberia, USCCC. We acknowledge the financial support to the eddy covariance data harmonization provided by CarboEuropeIP, FAO-GTOS-TCO, iLEAPS, Max Planck Institute for Biogeochemistry, National Science Foundation, University of Tuscia, Université Laval and Environment Canada and US Department of Energy and the database development and technical support from Berkeley Water Center, Lawrence Berkeley National Laboratory, Microsoft Research eScience, Oak Ridge National Laboratory, University of California-Berkeley, University of Virginia. Philippe Ciais acknowledges support from the European Research Council through Synergy grant ERC-2013-SyG-610028 “IMBALANCE-P”. The authors wish to thank M. Jung for providing access to the GPP MTE data, which were downloaded from the GEOCARBON data portal (https://www.bgc-jena.mpg.de/geodb/projects/Data.php). The authors are also grateful to computing support and resources provided at LSCE and to the overall ORCHIDEE project that coordinate the development of the code (http://labex.ipsl.fr/orchidee/index.php/about-the-team).en
dc.format.extent26
dc.format.extent8266624
dc.language.isoeng
dc.relation.ispartofGeoscientific Model Developmenten
dc.subjectSDG 15 - Life on Landen
dc.subjectGE Environmental Sciencesen
dc.subjectEuropean Research Councilen
dc.subjectERC-2013-SyG-610028en
dc.subject.lccGEen
dc.titleA new stepwise carbon cycle data assimilation system using multiple data streams to constrain the simulated land surface carbon cycleen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Geography & Environmenten
dc.description.statusPeer revieweden
dc.identifier.doi10.5194/gmd-9-3321-2016


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