63 citations as recorded by crossref.

1. Optimization of an enclosed gas analyzer sampling system for measuring eddy covariance fluxes of H<sub>2</sub>O and CO<sub>2</sub> S. Metzger et al. 10.5194/amt-9-1341-2016
2. Quantifying the impact of emission outbursts and non-stationary flow on eddy-covariance CH<sub>4</sub> flux measurements using wavelet techniques M. Göckede et al. 10.5194/bg-16-3113-2019
3. Airborne flux measurements of ammonia over the southern Great Plains using chemical ionization mass spectrometry S. Schobesberger et al. 10.5194/amt-16-247-2023
4. VOC emission rates over London and South East England obtained by airborne eddy covariance A. Vaughan et al. 10.1039/C7FD00002B
5. Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites H. Chu et al. 10.1016/j.agrformet.2021.108350
6. The SCALEX Campaign: Scale-Crossing Land Surface and Boundary Layer Processes in the TERENO-preAlpine Observatory B. Wolf et al. 10.1175/BAMS-D-15-00277.1
7. Arctic regional methane fluxes by ecotope as derived using eddy covariance from a low-flying aircraft D. Sayres et al. 10.5194/acp-17-8619-2017
8. Detecting Hot Spots of Methane Flux Using Footprint‐Weighted Flux Maps C. Rey‐Sanchez et al. 10.1029/2022JG006977
9. Combining eddy-covariance and chamber measurements to determine the methane budget from a small, heterogeneous urban floodplain wetland park T. Morin et al. 10.1016/j.agrformet.2017.01.022
10. Intercomparison of eddy-covariance software for urban tall-tower sites C. Lan et al. 10.5194/amt-17-2649-2024
11. Methane efflux from an American bison herd P. Stoy et al. 10.5194/bg-18-961-2021
12. New calibration procedures for airborne turbulence measurements and accuracy of the methane fluxes during the AirMeth campaigns J. Hartmann et al. 10.5194/amt-11-4567-2018
13. Trade-Offs in Flux Disaggregation: A Large-Eddy Simulation Study M. Sühring et al. 10.1007/s10546-018-0387-x
14. A Functional Approach to Vertical Turbulent Transport of Scalars in the Atmospheric Surface Layer R. Clement & J. Moncrieff 10.1007/s10546-019-00474-z
15. Toward understanding the contribution of waterbodies to the methane emissions of a permafrost landscape on a regional scale—A case study from the Mackenzie Delta, Canada K. Kohnert et al. 10.1111/gcb.14289
16. eddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5 S. Metzger et al. 10.5194/gmd-10-3189-2017
17. Resolving heterogeneous fluxes from tundra halves the growing season carbon budget S. Ludwig et al. 10.5194/bg-21-1301-2024
18. Strong geologic methane emissions from discontinuous terrestrial permafrost in the Mackenzie Delta, Canada K. Kohnert et al. 10.1038/s41598-017-05783-2
19. Construction of a spatially gridded heat flux map based on airborne flux Measurements using remote sensing and machine learning methods Y. Sun et al. 10.1016/j.agrformet.2023.109424
20. Airborne flux measurements of biogenic isoprene over California P. Misztal et al. 10.5194/acp-14-10631-2014
21. Point-to-Grid Conversion in Flux Footprints: Implications of Method Choice and Spatial Resolution for Regional-Scale Studies A. McCombs et al. 10.1007/s10546-019-00455-2
22. Estimating Random Uncertainty in Airborne Flux Measurements over Alaskan Tundra: Update on the Flux Fragment Method R. Dobosy et al. 10.1175/JTECH-D-16-0187.1
23. Pandemic restrictions in 2020 highlight the significance of non-road NOx sources in central London S. Cliff et al. 10.5194/acp-23-2315-2023
24. From NEON Field Sites to Data Portal: A Community Resource for Surface–Atmosphere Research Comes Online S. Metzger et al. 10.1175/BAMS-D-17-0307.1
25. Intercomparison of Six Upscaling Evapotranspiration Methods: From Site to the Satellite Pixel X. Li et al. 10.1029/2018JD028422
26. Eddy covariance for quantifying trace gas fluxes from soils W. Eugster & L. Merbold 10.5194/soil-1-187-2015
27. Near-field variability of evaposublimation in a montane conifer forest S. Drake et al. 10.3389/feart.2023.1249113
28. Connecting Land–Atmosphere Interactions to Surface Heterogeneity in CHEESEHEAD19 B. Butterworth et al. 10.1175/BAMS-D-19-0346.1
29. Temperature-dependent emissions dominate aerosol and ozone formation in Los Angeles E. Pfannerstill et al. 10.1126/science.adg8204
30. Remote sensing northern lake methane ebullition M. Engram et al. 10.1038/s41558-020-0762-8
31. High-Resolution Observations of Transport and Exchange Processes in Mountainous Terrain S. Emeis et al. 10.3390/atmos9120457
32. Towards Energy-Balance Closure with a Model of Dispersive Heat Fluxes L. Wanner et al. 10.1007/s10546-024-00868-8
33. Spatially resolved flux measurements of NOxfrom London suggest significantly higher emissions than predicted by inventories A. Vaughan et al. 10.1039/C5FD00170F
34. Can Data Mining Help Eddy Covariance See the Landscape? A Large-Eddy Simulation Study K. Xu et al. 10.1007/s10546-020-00513-0
35. Multi‐Sensor Approach for High Space and Time Resolution Land Surface Temperature A. Desai et al. 10.1029/2021EA001842
36. Space‐Scale Resolved Surface Fluxes Across a Heterogeneous, Mid‐Latitude Forested Landscape S. Paleri et al. 10.1029/2022JD037138
37. Surface-atmosphere exchange in a box: Making the control volume a suitable representation for in-situ observations S. Metzger 10.1016/j.agrformet.2017.08.037
38. Upscaling tower-observed turbulent exchange at fine spatio-temporal resolution using environmental response functions K. Xu et al. 10.1016/j.agrformet.2016.07.019
39. Surface-atmosphere exchange in a box: Space-time resolved storage and net vertical fluxes from tower-based eddy covariance K. Xu et al. 10.1016/j.agrformet.2017.10.011
40. The NASA Carbon Airborne Flux Experiment (CARAFE): instrumentation and methodology G. Wolfe et al. 10.5194/amt-11-1757-2018
41. 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
42. Ultrafine Particles in the Lower Troposphere: Major Sources, Invisible Plumes, and Meteorological Transport Processes W. Junkermann & J. Hacker 10.1175/BAMS-D-18-0075.1
43. Optimizing Window Length for Turbulent Heat Flux Calculations from Airborne Eddy Covariance Measurements under Near Neutral to Unstable Atmospheric Stability Conditions Y. Sun et al. 10.3390/rs10050670
44. Flux measurements by the NRC Twin Otter atmospheric research aircraft: 1987–2011 R. Desjardins et al. 10.5194/asr-13-43-2016
45. Airborne flux measurements of methane and volatile organic compounds over the Haynesville and Marcellus shale gas production regions B. Yuan et al. 10.1002/2015JD023242
46. Spatial heterogeneity in CO2, CH4, and energy fluxes: insights from airborne eddy covariance measurements over the Mid-Atlantic region R. Hannun et al. 10.1088/1748-9326/ab7391
47. Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia J. Shaw et al. 10.1029/2021GB007261
48. Airborne Measurements of Scale‐Dependent Latent Heat Flux Impacted by Water Vapor and Vertical Velocity Over Heterogeneous Land Surfaces During the CHEESEHEAD19 Campaign G. Lin et al. 10.1029/2023JD039586
49. The value of soil respiration measurements for interpreting and modeling terrestrial carbon cycling C. Phillips et al. 10.1007/s11104-016-3084-x
50. Contributions of landscape heterogeneity within the footprint of eddy-covariance towers to flux measurements V. Giannico et al. 10.1016/j.agrformet.2018.06.004
51. The challenge of reconciling bottom-up agricultural methane emissions inventories with top-down measurements R. Desjardins et al. 10.1016/j.agrformet.2017.09.003
52. Upscaling surface energy fluxes over the North Slope of Alaska using airborne eddy-covariance measurements and environmental response functions A. Serafimovich et al. 10.5194/acp-18-10007-2018
53. Quantifying the Natural Climate Solution Potential of Agricultural Systems by Combining Eddy Covariance and Remote Sensing S. Wiesner et al. 10.1029/2022JG006895
54. Drivers of Decadal Carbon Fluxes Across Temperate Ecosystems A. Desai et al. 10.1029/2022JG007014
55. Evaluating Different Machine Learning Methods for Upscaling Evapotranspiration from Flux Towers to the Regional Scale T. Xu et al. 10.1029/2018JD028447
56. Utility-based regression and meta-learning techniques for modeling actual ET: Comparison to (METRIC-EEFLUX) model F. Abu Salem et al. 10.1016/j.aiia.2024.11.001
57. Novel approach to observing system simulation experiments improves information gain of surface–atmosphere field measurements S. Metzger et al. 10.5194/amt-14-6929-2021
58. Measurement report: Airborne measurements of NOx fluxes over Los Angeles during the RECAP-CA 2021 campaign C. Nussbaumer et al. 10.5194/acp-23-13015-2023
59. Spatially and temporally resolved measurements of NO<sub><i>x</i></sub> fluxes by airborne eddy covariance over Greater London A. Vaughan et al. 10.5194/acp-21-15283-2021
60. Comparison of sensible and latent heat fluxes from optical-microwave scintillometers and eddy covariance systems with respect to surface energy balance closure C. Zheng et al. 10.1016/j.agrformet.2023.109345
61. Performance of a mobile car platform for mean wind and turbulence measurements D. Belušić et al. 10.5194/amt-7-1825-2014
62. A deep learning hybrid predictive modeling (HPM) approach for estimating evapotranspiration and ecosystem respiration J. Chen et al. 10.5194/hess-25-6041-2021
63. Airborne Flux Measurements of BVOCs above Californian Oak Forests: Experimental Investigation of Surface and Entrainment Fluxes, OH Densities, and Damköhler Numbers T. Karl et al. 10.1175/JAS-D-13-054.1