Zhu, SongyanMcCalmont, JonCardenas, LauraCunliffe, AndrewOlde, LouiseSignori Müller, CarolineLitvak, MarcyHill, Timothy C.2023-02-272023-02-272023-04-01Zhu, 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.2023.1093650168-1923ORCID: /0000-0002-5978-9574/work/129952784https://hdl.handle.net/2164/20181Acknowledgements 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/).144478356engSDG 15 - Life on LandEddy covarianceGap-fillingmanaged & low-flux ecosystemsERA5 driversQH301 BiologyBiotechnology and Biological Sciences Research Council (BBSRC)BBS/E/C/000I0320BBS/E/C/000J0100Supplementary DataQH301Journal article10.1016/j.agrformet.2023.109365332