dc.contributor.author | Zhu, Songyan | |
dc.contributor.author | McCalmont, Jon | |
dc.contributor.author | Cardenas, Laura | |
dc.contributor.author | Cunliffe, Andrew | |
dc.contributor.author | Olde, Louise | |
dc.contributor.author | Signori Müller, Caroline | |
dc.contributor.author | Litvak, Marcy | |
dc.contributor.author | Hill, Timothy C. | |
dc.date.accessioned | 2023-02-27T12:19:00Z | |
dc.date.available | 2023-02-27T12:19:00Z | |
dc.date.issued | 2023-04-01 | |
dc.identifier.citation | Zhu , 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.2023.109365 | en |
dc.identifier.issn | 0168-1923 | |
dc.identifier.other | PURE: 228565768 | |
dc.identifier.other | PURE UUID: afab00a6-6769-460b-97c4-6a76e1096a43 | |
dc.identifier.other | ORCID: /0000-0002-5978-9574/work/129952784 | |
dc.identifier.other | Scopus: 85149068139 | |
dc.identifier.uri | https://hdl.handle.net/2164/20181 | |
dc.description | Acknowledgements 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.extent | 14 | |
dc.language.iso | eng | |
dc.relation.ispartof | Agricultural and Forest Meteorology | en |
dc.rights | © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) | en |
dc.subject | SDG 15 - Life on Land | en |
dc.subject | Eddy covariance | en |
dc.subject | Gap-filling | en |
dc.subject | managed & low-flux ecosystems | en |
dc.subject | ERA5 drivers | en |
dc.subject | QH301 Biology | en |
dc.subject | Biotechnology and Biological Sciences Research Council (BBSRC) | en |
dc.subject | BBS/E/C/000I0320 | en |
dc.subject | BBS/E/C/000J0100 | en |
dc.subject | Supplementary Data | en |
dc.subject.lcc | QH301 | en |
dc.title | Gap-filling carbon dioxide, water, energy, and methane fluxes in challenging ecosystems : comparing between methods, drivers, and gap-lengths | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Biological Sciences | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Publisher PDF | en |
dc.identifier.doi | https://doi.org/10.1016/j.agrformet.2023.109365 | |
dc.identifier.vol | 332 | en |