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Gap-filling carbon dioxide, water, energy, and methane fluxes in challenging ecosystems : comparing between methods, drivers, and gap-lengths

dc.contributor.authorZhu, Songyan
dc.contributor.authorMcCalmont, Jon
dc.contributor.authorCardenas, Laura
dc.contributor.authorCunliffe, Andrew
dc.contributor.authorOlde, Louise
dc.contributor.authorSignori Müller, Caroline
dc.contributor.authorLitvak, Marcy
dc.contributor.authorHill, Timothy C.
dc.date.accessioned2024-02-25T00:13:26Z
dc.date.available2024-02-25T00:13:26Z
dc.date.issued2023-04-01
dc.identifier228565768
dc.identifierafab00a6-6769-460b-97c4-6a76e1096a43
dc.identifier85149068139
dc.identifier.citationZhu , S , McCalmont , J , Cardenas , L , Cunliffe , A , Olde , L , Signori Müller , C , Litvak , M & Hill , T C 2023 , ' Gap-filling carbon dioxide, water, energy, and methane fluxes in challenging ecosystems : comparing between methods, drivers, and gap-lengths ' , Agricultural and Forest Meteorology , vol. 332 , 109365 . https://doi.org/10.1016/j.agrformet.2023.109365en
dc.identifier.issn0168-1923
dc.identifier.otherORCID: /0000-0002-5978-9574/work/129952784
dc.identifier.urihttp://aura-test.abdn.ac.uk/handle/2164/20181
dc.descriptionAcknowledgements The authors thank the FLUXNET-CH4 research groups for providing the CC-BY-4.0 (Tier one) open-access eddy covariance data (https://fluxnet.org/data/fluxnet-ch4-community-product/) and ERA5 (https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5) for providing meteorology reanalysis data. They also thank the ReddyProc (https://cran.r-project.org/web/packages/R EddyProc/index.html) team, scikit-learn (https://scikit-learn.org/s table/install.html) team, and Xgboost team (https://xgboost.readthedocs.io/en/stable/python/python_api.html) for the packages that help the implementation and validation for gap-filling approaches. SZ and TH would like to acknowledge funding from Shell to support the PhD studentship. Rothamsted thanks BBSRC grants BBS/E/C/000I0320 and BBS/E/C/000J0100. The Eddy Covariance equipment deployed in this work was funded by CIEL (https://www.cielivestock.co.uk/) and the raw data is available on the Farm Platform Portal (https://nwfp.rothamsted.ac.uk/).en
dc.format.extent14
dc.format.extent4478356
dc.language.isoeng
dc.relation.ispartofAgricultural and Forest Meteorologyen
dc.subjectSDG 15 - Life on Landen
dc.subjectEddy covarianceen
dc.subjectGap-fillingen
dc.subjectmanaged & low-flux ecosystemsen
dc.subjectERA5 driversen
dc.subjectQH301 Biologyen
dc.subjectBiotechnology and Biological Sciences Research Council (BBSRC)en
dc.subjectBBS/E/C/000I0320en
dc.subjectBBS/E/C/000J0100en
dc.subjectSupplementary Dataen
dc.subject.lccQH301en
dc.titleGap-filling carbon dioxide, water, energy, and methane fluxes in challenging ecosystems : comparing between methods, drivers, and gap-lengthsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.description.statusPeer revieweden
dc.identifier.doihttps://doi.org/10.1016/j.agrformet.2023.109365
dc.identifier.vol332en


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