Biophysics and vegetation cover change: a process-based evaluation framework for confronting land surface models with satellite observations - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Earth System Science Data Année : 2018

Biophysics and vegetation cover change: a process-based evaluation framework for confronting land surface models with satellite observations

Résumé

Land use and land cover change (LULCC) alter the biophysical properties of the Earth's surface. The associated changes in vegetation cover can perturb the local surface energy balance, which in turn can affect the local climate. The sign and magnitude of this change in climate depends on the specific vegetation transition, its timing and its location, as well as on the background climate. Land surface models (LSMs) can be used to simulate such land-climate interactions and study their impact in past and future climates, but their capacity to model biophysical effects accurately across the globe remain unclear due to the complexity of the phenomena. Here we present a framework to evaluate the performance of such models with respect to a dedicated dataset derived from satellite remote sensing observations. Idealized simulations from four LSMs (JULES, ORCHIDEE, JSBACH and CLM) are combined with satellite observations to analyse the changes in radiative and turbulent fluxes caused by 15 specific vegetation cover transitions across geographic, seasonal and climatic gradients. The seasonal variation in net radiation associated with land cover change is the process that models capture best, whereas LSMs perform poorly when simulating spatial and climatic gradients of variation in latent, sensible and ground heat fluxes induced by land cover transitions. We expect that this analysis will help identify model limitations and prioritize efforts in model development as well as inform where consensus between model and observations is already met, ultimately helping to improve the robustness and consistency of model simulations to better inform land-based mitigation and adaptation policies. The dataset consisting of both harmonized model simulation and remote sensing estimations is available at https://doi.org/10.5281/zenodo.1182145.
Fichier principal
Vignette du fichier
essd-10-1265-2018.pdf (4.33 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-02903430 , version 1 (08-09-2020)

Licence

Paternité

Identifiants

Citer

Grégory Duveiller, Giovanni Forzieri, Eddy Robertson, Goran Georgievski, Peter Lawrence, et al.. Biophysics and vegetation cover change: a process-based evaluation framework for confronting land surface models with satellite observations. Earth System Science Data, 2018, 10 (3), pp.1265-1279. ⟨10.5194/essd-10-1265-2018⟩. ⟨hal-02903430⟩
100 Consultations
25 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More