Sensitivity analysis of a source partitioning method for H$_{\textrm{2}}$O and CO$_{\textrm{2}}$ fluxes based on high frequency eddy covariance data: Findings from field data and large eddy simulations. Klosterhalfen, A., Moene, A., Schmidt, M., Scanlon, T., Vereecken, H., & Graf, A. Agricultural and Forest Meteorology, 265:152–170, February, 2019. ![Sensitivity analysis of a source partitioning method for H$_{\textrm{2}}$O and CO$_{\textrm{2}}$ fluxes based on high frequency eddy covariance data: Findings from field data and large eddy simulations [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @article{klosterhalfen_sensitivity_2019,
title = {Sensitivity analysis of a source partitioning method for {H}$_{\textrm{2}}${O} and {CO}$_{\textrm{2}}$ fluxes based on high frequency eddy covariance data: {Findings} from field data and large eddy simulations},
volume = {265},
issn = {01681923},
shorttitle = {Sensitivity analysis of a source partitioning method for {H2O} and {CO2} fluxes based on high frequency eddy covariance data},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0168192318303496},
doi = {10.1016/j.agrformet.2018.11.003},
language = {en},
urldate = {2022-11-17},
journal = {Agricultural and Forest Meteorology},
author = {Klosterhalfen, A. and Moene, A.F. and Schmidt, M. and Scanlon, T.M. and Vereecken, H. and Graf, A.},
month = feb,
year = {2019},
pages = {152--170},
}
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