13 citations as recorded by crossref.

1. The high-frequency response correction of eddy covariance fluxes – Part 2: An experimental approach for analysing noisy measurements of small fluxes T. Aslan et al. 10.5194/amt-14-5089-2021
2. Reactive nitrogen fluxes over peatland and forest ecosystems using micrometeorological measurement techniques C. Brümmer et al. 10.5194/essd-14-743-2022
3. Forest–atmosphere exchange of reactive nitrogen in a remote region – Part II: Modeling annual budgets P. Wintjen et al. 10.5194/bg-19-5287-2022
4. Forest–atmosphere exchange of reactive nitrogen in a remote region – Part I: Measuring temporal dynamics P. Wintjen et al. 10.5194/bg-19-389-2022
5. High-frequency attenuation in eddy covariance measurements from the LI-7200 IRGA with various heating and filter configurations – a spectral correction approach J. Smidt et al. 10.1016/j.agrformet.2024.110312
6. Multiple Gap-Filling for Eddy Covariance Datasets A. Lucas-Moffat et al. 10.2139/ssrn.4065277
7. Reactive N emissions from cropland and their mitigation in the North China Plain J. Wang et al. 10.1016/j.envres.2022.114015
8. The high-frequency response correction of eddy covariance fluxes – Part 1: An experimental approach and its interdependence with the time-lag estimation O. Peltola et al. 10.5194/amt-14-5071-2021
9. Validation of a short-range dispersion and deposition model using field-scale ammonia and methane release experiments C. Häni et al. 10.1016/j.agrformet.2024.110041
10. Eddy covariance with slow-response greenhouse gas analysers on tall towers: bridging atmospheric and ecosystem greenhouse gas networks P. Herig Coimbra et al. 10.5194/amt-17-6625-2024
11. Multiple gap-filling for eddy covariance datasets A. Lucas-Moffat et al. 10.1016/j.agrformet.2022.109114
12. Limitations of an Eddy-Covariance System in Measuring Low Ammonia Fluxes R. Ferrara et al. 10.1007/s10546-021-00612-6
13. Field comparison of two novel open-path instruments that measure dry deposition and emission of ammonia using flux-gradient and eddy covariance methods D. Swart et al. 10.5194/amt-16-529-2023