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

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LPJ-GUESS/LSMv1.0 : a next-generation land surface model with high ecological realism. / Belda, David Martín; Anthoni, Peter; Wårlind, David; Olin, Stefan; Schurgers, Guy; Tang, Jing; Smith, Benjamin; Arneth, Almut.

I: Geoscientific Model Development, Bind 15, Nr. 17, 2022, s. 6709-6745.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Belda, DM, Anthoni, P, Wårlind, D, Olin, S, Schurgers, G, Tang, J, Smith, B & Arneth, A 2022, 'LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism', Geoscientific Model Development, bind 15, nr. 17, s. 6709-6745. https://doi.org/10.5194/gmd-15-6709-2022

APA

Belda, D. M., Anthoni, P., Wårlind, D., Olin, S., Schurgers, G., Tang, J., Smith, B., & Arneth, A. (2022). LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism. Geoscientific Model Development, 15(17), 6709-6745. https://doi.org/10.5194/gmd-15-6709-2022

Vancouver

Belda DM, Anthoni P, Wårlind D, Olin S, Schurgers G, Tang J o.a. LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism. Geoscientific Model Development. 2022;15(17):6709-6745. https://doi.org/10.5194/gmd-15-6709-2022

Author

Belda, David Martín ; Anthoni, Peter ; Wårlind, David ; Olin, Stefan ; Schurgers, Guy ; Tang, Jing ; Smith, Benjamin ; Arneth, Almut. / LPJ-GUESS/LSMv1.0 : a next-generation land surface model with high ecological realism. I: Geoscientific Model Development. 2022 ; Bind 15, Nr. 17. s. 6709-6745.

Bibtex

@article{66c7655ed30c4c30a9d4cd6b7fc5eedf,
title = "LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism",
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 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.",
keywords = "CARBON-CYCLE FEEDBACK, LPJ-GUESS V4.0, STOMATAL CONDUCTANCE, VEGETATION DYNAMICS, FUTURE CLIMATE, TERRESTRIAL VEGETATION, ATMOSPHERIC CHEMISTRY, EUROPEAN CLIMATE, USE EFFICIENCY, COVER CHANGES",
author = "Belda, {David Mart{\'i}n} and Peter Anthoni and David W{\aa}rlind and Stefan Olin and Guy Schurgers and Jing Tang and Benjamin Smith and Almut Arneth",
note = "CENPERMOA[2022]",
year = "2022",
doi = "10.5194/gmd-15-6709-2022",
language = "English",
volume = "15",
pages = "6709--6745",
journal = "Geoscientific Model Development",
issn = "1991-959X",
publisher = "Copernicus GmbH",
number = "17",

}

RIS

TY - JOUR

T1 - LPJ-GUESS/LSMv1.0

T2 - a next-generation land surface model with high ecological realism

AU - Belda, David Martín

AU - Anthoni, Peter

AU - Wårlind, David

AU - Olin, Stefan

AU - Schurgers, Guy

AU - Tang, Jing

AU - Smith, Benjamin

AU - Arneth, Almut

N1 - CENPERMOA[2022]

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - CARBON-CYCLE FEEDBACK

KW - LPJ-GUESS V4.0

KW - STOMATAL CONDUCTANCE

KW - VEGETATION DYNAMICS

KW - FUTURE CLIMATE

KW - TERRESTRIAL VEGETATION

KW - ATMOSPHERIC CHEMISTRY

KW - EUROPEAN CLIMATE

KW - USE EFFICIENCY

KW - COVER CHANGES

U2 - 10.5194/gmd-15-6709-2022

DO - 10.5194/gmd-15-6709-2022

M3 - Journal article

VL - 15

SP - 6709

EP - 6745

JO - Geoscientific Model Development

JF - Geoscientific Model Development

SN - 1991-959X

IS - 17

ER -

ID: 319794463