Articles | Volume 10, issue 4
https://doi.org/10.5194/bg-10-2193-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-10-2193-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Spatially explicit regionalization of airborne flux measurements using environmental response functions
S. Metzger
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Atmospheric Environmental Research Division, Garmisch-Partenkirchen, Germany
Chinese Academy of Sciences, Institute of Atmospheric Physics, State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Beijing, China
now at: National Ecological Observatory Network, Fundamental Instrument Unit, Boulder, USA
now at: University of Colorado, Institute of Arctic and Alpine Research, Boulder, USA
W. Junkermann
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Atmospheric Environmental Research Division, Garmisch-Partenkirchen, Germany
M. Mauder
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Atmospheric Environmental Research Division, Garmisch-Partenkirchen, Germany
K. Butterbach-Bahl
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Atmospheric Environmental Research Division, Garmisch-Partenkirchen, Germany
B. Trancón y Widemann
University of Bayreuth, Chair of Ecological Modelling, Bayreuth, Germany
Member of Bayreuth Centre of Ecology and Ecosystem Research, Bayreuth, Germany
now at: Technical University of Ilmenau, Programming Languages and Compilers, Ilmenau, Germany
F. Neidl
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Atmospheric Environmental Research Division, Garmisch-Partenkirchen, Germany
K. Schäfer
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Atmospheric Environmental Research Division, Garmisch-Partenkirchen, Germany
S. Wieneke
University of Cologne, Institute of Geophysics and Meteorology, Cologne, Germany
X. H. Zheng
Chinese Academy of Sciences, Institute of Atmospheric Physics, State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Beijing, China
H. P. Schmid
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Atmospheric Environmental Research Division, Garmisch-Partenkirchen, Germany
University of Bayreuth, Department of Micrometeorology, Bayreuth, Germany
Member of Bayreuth Centre of Ecology and Ecosystem Research, Bayreuth, Germany
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- 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
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- Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites H. Chu et al. 10.1016/j.agrformet.2021.108350
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- Detecting Hot Spots of Methane Flux Using Footprint‐Weighted Flux Maps C. Rey‐Sanchez et al. 10.1029/2022JG006977
- 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
- Intercomparison of eddy-covariance software for urban tall-tower sites C. Lan et al. 10.5194/amt-17-2649-2024
- Methane efflux from an American bison herd P. Stoy et al. 10.5194/bg-18-961-2021
- 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
- Trade-Offs in Flux Disaggregation: A Large-Eddy Simulation Study M. Sühring et al. 10.1007/s10546-018-0387-x
- A Functional Approach to Vertical Turbulent Transport of Scalars in the Atmospheric Surface Layer R. Clement & J. Moncrieff 10.1007/s10546-019-00474-z
- 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
- 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
- Resolving heterogeneous fluxes from tundra halves the growing season carbon budget S. Ludwig et al. 10.5194/bg-21-1301-2024
- Strong geologic methane emissions from discontinuous terrestrial permafrost in the Mackenzie Delta, Canada K. Kohnert et al. 10.1038/s41598-017-05783-2
- 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
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- 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
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- A deep learning hybrid predictive modeling (HPM) approach for estimating evapotranspiration and ecosystem respiration J. Chen et al. 10.5194/hess-25-6041-2021
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