Articles | Volume 16, issue 21
https://doi.org/10.5194/acp-16-13417-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-13417-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Non-stomatal exchange in ammonia dry deposition models: comparison of two state-of-the-art approaches
Frederik Schrader
CORRESPONDING AUTHOR
Thünen Institute of Climate-Smart Agriculture, Braunschweig,
Germany
Christian Brümmer
Thünen Institute of Climate-Smart Agriculture, Braunschweig,
Germany
Chris R. Flechard
Instiute National de la Recherche Agronomique (INRA), Agrocampus
Ouest, UMR1069 SAS, Rennes, France
Roy J. Wichink Kruit
National Institute for Public Health and the Environment (RIVM),
Bilthoven, the Netherlands
Margreet C. van Zanten
National Institute for Public Health and the Environment (RIVM),
Bilthoven, the Netherlands
Undine Zöll
Thünen Institute of Climate-Smart Agriculture, Braunschweig,
Germany
Arjan Hensen
Energy Research Centre of the Netherlands (ECN), Petten, the
Netherlands
Jan Willem Erisman
Cluster Earth and Climate, Department of Earth Sciences, Vrije
Universiteit Amsterdam, Amsterdam, the Netherlands
Louis Bolk Institute, Driebergen, the Netherlands
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Cited
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- Temporal variability of ammonia emission potentials for six plant species in an evergreen subtropical forest in southwest China J. Cui et al. 10.1007/s11356-017-8650-0
- Unraveling the diurnal atmospheric ammonia budget of a prototypical convective boundary layer R. Schulte et al. 10.1016/j.atmosenv.2020.118153
- Towards a coupled paradigm of NH3‐CO2 biosphere–atmosphere exchange modelling F. Schrader et al. 10.1111/gcb.15184
- Multiple gap-filling for eddy covariance datasets A. Lucas-Moffat et al. 10.1016/j.agrformet.2022.109114
- Multiple Gap-Filling for Eddy Covariance Datasets A. Lucas-Moffat et al. 10.2139/ssrn.4065277
- Ammonia Cycling and Emerging Secondary Aerosols from Arable Agriculture: A European and Irish Perspective V. Pohl et al. 10.3390/air1010003
- Reviewing global estimates of surface reactive nitrogen concentration and deposition using satellite retrievals L. Liu et al. 10.5194/acp-20-8641-2020
- Reactive nitrogen fluxes over peatland and forest ecosystems using micrometeorological measurement techniques C. Brümmer et al. 10.5194/essd-14-743-2022
- 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
- Conception and parameterization of field-scale models for simulating ammonia loss from fertilized lands: a review L. Horváth et al. 10.1007/s40808-024-02037-9
- Modelling effects of type of trees on urban air pollution with a computational fluid dynamics model R. San Jose & J. Perez-Camanyo 10.1007/s41207-022-00321-7
- The hidden cost of using low-resolution concentration data in the estimation of NH3 dry deposition fluxes F. Schrader et al. 10.1038/s41598-017-18021-6
- Measuring atmospheric ammonia with remote sensing campaign: Part 1 – Characterisation of vertical ammonia concentration profile in the centre of The Netherlands E. Dammers et al. 10.1016/j.atmosenv.2017.08.067
- Surface–atmosphere exchange of ammonia over peatland using QCL-based eddy-covariance measurements and inferential modeling U. Zöll et al. 10.5194/acp-16-11283-2016
14 citations as recorded by crossref.
- Satellite-derived leaf area index and roughness length information for surface–atmosphere exchange modelling: a case study for reactive nitrogen deposition in north-western Europe using LOTOS-EUROS v2.0 S. van der Graaf et al. 10.5194/gmd-13-2451-2020
- Temporal variability of ammonia emission potentials for six plant species in an evergreen subtropical forest in southwest China J. Cui et al. 10.1007/s11356-017-8650-0
- Unraveling the diurnal atmospheric ammonia budget of a prototypical convective boundary layer R. Schulte et al. 10.1016/j.atmosenv.2020.118153
- Towards a coupled paradigm of NH3‐CO2 biosphere–atmosphere exchange modelling F. Schrader et al. 10.1111/gcb.15184
- Multiple gap-filling for eddy covariance datasets A. Lucas-Moffat et al. 10.1016/j.agrformet.2022.109114
- Multiple Gap-Filling for Eddy Covariance Datasets A. Lucas-Moffat et al. 10.2139/ssrn.4065277
- Ammonia Cycling and Emerging Secondary Aerosols from Arable Agriculture: A European and Irish Perspective V. Pohl et al. 10.3390/air1010003
- Reviewing global estimates of surface reactive nitrogen concentration and deposition using satellite retrievals L. Liu et al. 10.5194/acp-20-8641-2020
- Reactive nitrogen fluxes over peatland and forest ecosystems using micrometeorological measurement techniques C. Brümmer et al. 10.5194/essd-14-743-2022
- 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
- Conception and parameterization of field-scale models for simulating ammonia loss from fertilized lands: a review L. Horváth et al. 10.1007/s40808-024-02037-9
- Modelling effects of type of trees on urban air pollution with a computational fluid dynamics model R. San Jose & J. Perez-Camanyo 10.1007/s41207-022-00321-7
- The hidden cost of using low-resolution concentration data in the estimation of NH3 dry deposition fluxes F. Schrader et al. 10.1038/s41598-017-18021-6
- Measuring atmospheric ammonia with remote sensing campaign: Part 1 – Characterisation of vertical ammonia concentration profile in the centre of The Netherlands E. Dammers et al. 10.1016/j.atmosenv.2017.08.067
Latest update: 14 Dec 2024
Short summary
We found a systematic mismatch of modeled and measured NH3 fluxes using two state-of-the-art dry deposition models and data from five sites in Europe. Results of our analysis indicate a too large minimum non-stomatal resistance and too strong temperature response in the parameterization of a unidirectional surface–atmosphere exchange scheme, as well as room for improvement on the emission potential parameterization of a bidirectional model, both directly impacting predicted NH3 exchange fluxes.
We found a systematic mismatch of modeled and measured NH3 fluxes using two state-of-the-art dry...
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