LPJ-GUESS/LSMv1.0: a next-generation land  surface model with high ecological realism

Martín Belda, David; Anthoni, Peter; Wårlind, David; Olin, Stefan; Schurgers, Guy; Tang, Jing; Smith, Benjamin; Arneth, Almut

doi:https://doi.org/10.5194/gmd-15-6709-2022

Articles | Volume 15, issue 17

https://doi.org/10.5194/gmd-15-6709-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-6709-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 17

Model description paper

|

06 Sep 2022

Model description paper |

| 06 Sep 2022

LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism

David Martín Belda, Peter Anthoni, David Wårlind, Stefan Olin, Guy Schurgers, Jing Tang, Benjamin Smith, and Almut Arneth

Supplement

https://doi.org/10.5194/gmd-15-6709-2022-supplement

Data sets

Forcing data, evaluation data, model output and analysis scripts used in LPJ-GUESS/LSM description paper [Data set] D. Martin-Belda https://doi.org/10.5281/zenodo.6856036

Short summary

We present a number of augmentations to the ecosystem model LPJ-GUESS, which will allow us to use it in studies of the interactions between the land biosphere and the climate. The new module enables calculation of fluxes of energy and water into the atmosphere that are consistent with the modelled vegetation processes. The modelled fluxes are in fair agreement with observations across 21 sites from the FLUXNET network.