33 citations as recorded by crossref.

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11. Testing the suitability of Marginal Distribution Sampling as a gap‐filling method using some meteorological data from seven sites in West Africa D. Koukoui et al. 10.1002/met.2152
12. Spatial and temporal variation of three Eddy-Covariance flux footprints in a Tropical Dry Forest M. Abdaki et al. 10.1016/j.agrformet.2023.109863
13. Air–sea interactions in stable atmospheric conditions: lessons from the desert semi-enclosed Gulf of Eilat (Aqaba) S. Abir et al. 10.5194/acp-24-6177-2024
14. A comparative analysis of machine learning approaches to gap filling meteorological datasets B. Lalic et al. 10.1007/s12665-024-11982-8
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20. Spatiotemporal lagging of predictors improves machine learning estimates of atmosphere–forest CO2 exchange M. Kämäräinen et al. 10.5194/bg-20-897-2023
21. A physical full-factorial scheme for gap-filling of eddy covariance measurements of daytime evapotranspiration Y. Jiang et al. 10.1016/j.agrformet.2022.109087
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26. Multiple Gap-Filling for Eddy Covariance Datasets A. Lucas-Moffat et al. 10.2139/ssrn.4065277
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28. Trading a little water for substantial carbon gains during the first years of a Eucalyptus globulus plantation M. Silva et al. 10.1016/j.agrformet.2022.108910
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31. Commercial forest carbon protocol over-credit bias delimited by zero-threshold carbon accounting B. Marino & N. Bautista 10.1016/j.tfp.2021.100171
32. Drainage effects on carbon budgets of degraded peatlands in the north of the Netherlands T. Nijman et al. 10.1016/j.scitotenv.2024.172882
33. Technical note: Uncertainties in eddy covariance CO2 fluxes in a semiarid sagebrush ecosystem caused by gap-filling approaches J. Yao et al. 10.5194/acp-21-15589-2021