Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model

Beaudor, Maureen; Vuichard, Nicolas; Lathière, Juliette; Evangeliou, Nikolaos; Van Damme, Martin; Clarisse, Lieven; Hauglustaine, Didier

doi:https://doi.org/10.5194/gmd-16-1053-2023

Articles | Volume 16, issue 3

https://doi.org/10.5194/gmd-16-1053-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-16-1053-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 3

Model description paper

|

09 Feb 2023

Model description paper |

| 09 Feb 2023

Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model

Maureen Beaudor, Nicolas Vuichard, Juliette Lathière, Nikolaos Evangeliou, Martin Van Damme, Lieven Clarisse, and Didier Hauglustaine

Supplement

https://doi.org/10.5194/gmd-16-1053-2023-supplement

Data sets

Global agricultural ammonia emissions simulated with the ORCHIDEE land surface model : Model Ouput Data Maureen Beaudor, Nicolas Vuichard, Juliette Lathière, Nikolaos Evangeliou, Martin Van Damme, Lieven Clarisse, and Didier Hauglustaine https://doi.org/10.5281/zenodo.6818373

Flow of Agricultural Nitrogen, version 2 (FANv2): Model input and output data (Revised May 2020) Julius Vira, Peter Hess, Jeff Melkonian, and William Wieder https://doi.org/10.5281/zenodo.3841723

Model code and software

ORCHIDEE CAMEO 2022 Version Maureen Beaudor, Nicolas Vuichard, Juliette Lathière, Nikolaos Evangeliou, Martin Van Damme, Lieven Clarisse, and Didier Hauglustaine https://doi.org/10.14768/db1cf5ce-6fd2-4b4c-a3d1-598e2283c19d

Short summary

Ammonia mainly comes from the agricultural sector, and its volatilization relies on environmental variables. Our approach aims at benefiting from an Earth system model framework to estimate it. By doing so, we represent a consistent spatial distribution of the emissions' response to environmental changes. We greatly improved the seasonal cycle of emissions compared with previous work. In addition, our model includes natural soil emissions (that are rarely represented in modeling approaches).