An official website of the European Union How do you know?      
European Commission logo
JRC Publications Repository Menu

Evaluating the interplay between biophysical processes and leaf area changes in Land Surface Models

cover
Land Surface Models (LSMs) are essential to reproduce biophysical processes modulated by vegetation and to predict the future evolution of the land-climate system. To assess the performance of an ensemble of LSMs (JSBACH, JULES, ORCHIDEE, CLM and LPJ-GUESS) a consistent set of land surface energy fluxes and leaf area index (LAI) has been generated. Relationships of interannual variations of modelled surface fluxes and LAI changes have been analysed at global scale across climatological gradients and compared with those obtained from satellite-based products. Model-specific strengths and deficiencies were diagnosed for tree and grass biomes. Results show that the responses of grasses are generally well represented in models with respect to the observed interplay between turbulent fluxes and LAI, increasing the confidence on how the LAI-dependent partition of net radiation into latent and sensible heat are simulated. On the contrary, modelled forest responses are characterized by systematic bias in the relation between the year-to-year variability in LAI and net radiation in cold and temperate climates, ultimately affecting the amount of absorbed radiation due to LAI-related effects on surface albedo. In addition, for tree biomes the relationships between LAI and turbulent fluxes appear to contradict the experimental evidences. The dominance of the transpiration-driven over the observed albedo-driven effects might suggest that LSMs have the incorrect balance of these two processes. Such mismatches shed light on the limitations of our current understanding and process representation of the vegetation control on the surface energy balance and help to identify critical areas for model improvement.
2018-07-10
AMER GEOPHYSICAL UNION
JRC111700
1942-2466,   
https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2018MS001284,    https://publications.jrc.ec.europa.eu/repository/handle/JRC111700,   
10.1002/2018MS001284,   
Language Citation
NameCountryCityType
Datasets
IDTitlePublic URL
Dataset collections
IDAcronymTitlePublic URL
Scripts / source codes
DescriptionPublic URL
Additional supporting files
File nameDescriptionFile type 
Show metadata record  Copy citation url to clipboard  Download BibTeX
Items published in the JRC Publications Repository are protected by copyright, with all rights reserved, unless otherwise indicated. Additional information: https://ec.europa.eu/info/legal-notice_en#copyright-notice