LPJ-GUESS/LSMv1.0 : A next-generation land surface model with high ecological realism
Martín Belda, David ; Anthoni, Peter LU ; Wårlind, David LU
; Olin, Stefan
LU
; Schurgers, Guy
LU
; Tang, Jing
LU
; Smith, Benjamin
LU
and Arneth, Almut
LU
(2022)
In Geoscientific Model Development
15(17).
p.6709-6745
- Abstract
Land biosphere processes are of central importance to the climate system. Specifically, ecosystems interact with the atmosphere through a variety of feedback loops that modulate energy, water, and CO2 fluxes between the land surface and the atmosphere across a wide range of temporal and spatial scales. Human land use and land cover modification add a further level of complexity to land-atmosphere interactions. Dynamic global vegetation models (DGVMs) attempt to capture land ecosystem processes and are increasingly incorporated into Earth system models (ESMs), which makes it possible to study the coupled dynamics of the land biosphere and the climate. In this work we describe a number of modifications to the LPJ-GUESS DGVM, aimed at... (More)
Land biosphere processes are of central importance to the climate system. Specifically, ecosystems interact with the atmosphere through a variety of feedback loops that modulate energy, water, and CO2 fluxes between the land surface and the atmosphere across a wide range of temporal and spatial scales. Human land use and land cover modification add a further level of complexity to land-atmosphere interactions. Dynamic global vegetation models (DGVMs) attempt to capture land ecosystem processes and are increasingly incorporated into Earth system models (ESMs), which makes it possible to study the coupled dynamics of the land biosphere and the climate. In this work we describe a number of modifications to the LPJ-GUESS DGVM, aimed at enabling direct integration into an ESM. These include energy balance closure, the introduction of a sub-daily time step, a new radiative transfer scheme, and improved soil physics. The implemented modifications allow the model (LPJ-GUESS/LSM) to simulate the diurnal exchange of energy, water, and CO2 between the land ecosystem and the atmosphere and thus provide surface boundary conditions to an atmospheric model over land. A site-based evaluation against FLUXNET2015 data shows reasonable agreement between observed and modelled sensible and latent heat fluxes. Differences in predicted ecosystem function between standard LPJ-GUESS and LPJ-GUESS/LSM vary across land cover types. We find that the emerging ecosystem composition and carbon fluxes are sensitive to both the choice of stomatal conductance model and the response of plant water uptake to soil moisture. The new implementation described in this work lays the foundation for using the well-established LPJ-GUESS DGVM as an alternative land surface model (LSM) in coupled land-biosphere-climate studies, where an accurate representation of ecosystem processes is essential.
(Less)
- author
- Martín Belda, David
; Anthoni, Peter
LU
; Wårlind, David
LU
; Olin, Stefan
LU
; Schurgers, Guy
LU
; Tang, Jing
LU
; Smith, Benjamin
LU
and Arneth, Almut
LU
- organization
- publishing date
- 2022-09
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Geoscientific Model Development
- volume
- 15
- issue
- 17
- pages
- 37 pages
- publisher
- Copernicus GmbH
- external identifiers
-
- scopus:85140409045
- ISSN
- 1991-959X
- DOI
- 10.5194/gmd-15-6709-2022
- language
- English
- LU publication?
- yes
- id
- 196a87e6-7282-4a6e-9c07-b1efb7f767e7
- date added to LUP
- 2022-12-16 11:30:12
- date last changed
- 2023-05-10 09:59:24
@article{196a87e6-7282-4a6e-9c07-b1efb7f767e7,
abstract = {{<p>Land biosphere processes are of central importance to the climate system. Specifically, ecosystems interact with the atmosphere through a variety of feedback loops that modulate energy, water, and CO2 fluxes between the land surface and the atmosphere across a wide range of temporal and spatial scales. Human land use and land cover modification add a further level of complexity to land-atmosphere interactions. Dynamic global vegetation models (DGVMs) attempt to capture land ecosystem processes and are increasingly incorporated into Earth system models (ESMs), which makes it possible to study the coupled dynamics of the land biosphere and the climate. In this work we describe a number of modifications to the LPJ-GUESS DGVM, aimed at enabling direct integration into an ESM. These include energy balance closure, the introduction of a sub-daily time step, a new radiative transfer scheme, and improved soil physics. The implemented modifications allow the model (LPJ-GUESS/LSM) to simulate the diurnal exchange of energy, water, and CO2 between the land ecosystem and the atmosphere and thus provide surface boundary conditions to an atmospheric model over land. A site-based evaluation against FLUXNET2015 data shows reasonable agreement between observed and modelled sensible and latent heat fluxes. Differences in predicted ecosystem function between standard LPJ-GUESS and LPJ-GUESS/LSM vary across land cover types. We find that the emerging ecosystem composition and carbon fluxes are sensitive to both the choice of stomatal conductance model and the response of plant water uptake to soil moisture. The new implementation described in this work lays the foundation for using the well-established LPJ-GUESS DGVM as an alternative land surface model (LSM) in coupled land-biosphere-climate studies, where an accurate representation of ecosystem processes is essential.</p>}},
author = {{Martín Belda, David and Anthoni, Peter and Wårlind, David and Olin, Stefan and Schurgers, Guy and Tang, Jing and Smith, Benjamin and Arneth, Almut}},
issn = {{1991-959X}},
language = {{eng}},
number = {{17}},
pages = {{6709--6745}},
publisher = {{Copernicus GmbH}},
series = {{Geoscientific Model Development}},
title = {{LPJ-GUESS/LSMv1.0 : A next-generation land surface model with high ecological realism}},
url = {{http://dx.doi.org/10.5194/gmd-15-6709-2022}},
doi = {{10.5194/gmd-15-6709-2022}},
volume = {{15}},
year = {{2022}},
}