University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

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

Simple item page
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.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.date.accessioned2023-02-27T12:19:00Z
dc.date.available2023-02-27T12:19:00Z
dc.date.issued2023-04-01
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.description.statusPeer revieweden
dc.format.extent14
dc.format.extent4478356
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.doi10.1016/j.agrformet.2023.109365
dc.identifier.issn0168-1923
dc.identifier.otherORCID: /0000-0002-5978-9574/work/129952784
dc.identifier.urihttps://hdl.handle.net/2164/20181
dc.identifier.vol332en
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

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Zhu_etal_AFM_Gap_Filling_Carbon_VoR.pdf
Size:
4.27 MB
Format:
Adobe Portable Document Format
Download

Collections

All research