dc.contributor.author | Forzieri, G | |
dc.contributor.author | Duveiller, G | |
dc.contributor.author | Georgievski, G | |
dc.contributor.author | Li, W | |
dc.contributor.author | Robertson, E | |
dc.contributor.author | Kautz, M | |
dc.contributor.author | Lawrence, P | |
dc.contributor.author | Garcia San Martin, L | |
dc.contributor.author | Anthoni, P | |
dc.contributor.author | Ciais, P | |
dc.contributor.author | Pongratz, J | |
dc.contributor.author | Sitch, S | |
dc.contributor.author | Wiltshire, A | |
dc.contributor.author | Arneth, A | |
dc.contributor.author | Cescatti, A | |
dc.date.accessioned | 2018-10-24T13:32:57Z | |
dc.date.issued | 2018-04-06 | |
dc.description.abstract | 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 modeled surface fluxes and LAI changes have been analyzed 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, modeled 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. | en_GB |
dc.description.sponsorship | he study was funded by the FP7 LUC4C project (grant 603542). P. C. acknowledges support the European Research Council Synergy grant ERC‐2013‐SyG‐610028 IMBALANCE‐P. J.P. acknowledges support by the German Research Foundation's Emmy Noether Program. | en_GB |
dc.identifier.citation | Vol. 10 (5), pp. 1102 - 1126 | en_GB |
dc.identifier.doi | 10.1002/2018MS001284 | |
dc.identifier.uri | http://hdl.handle.net/10871/34421 | |
dc.language.iso | en | en_GB |
dc.publisher | American Geophysical Union (AGU) / Wiley | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/30034575 | en_GB |
dc.rights | © 2018. The Authors.
This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. | en_GB |
dc.subject | biophysics | en_GB |
dc.subject | land surface models | en_GB |
dc.subject | land‐atmosphere interactions | en_GB |
dc.subject | leaf area index | en_GB |
dc.subject | satellite data | en_GB |
dc.subject | surface energy balance | en_GB |
dc.title | Evaluating the Interplay Between Biophysical Processes and Leaf Area Changes in Land Surface Models | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2018-10-24T13:32:57Z | |
dc.identifier.issn | 1942-2466 | |
exeter.place-of-publication | United States | en_GB |
dc.description | This is the final version. Available on open access from AGU via the DOI in this record | en_GB |
dc.description | All information about the data used can be found in sections 2.1 and 2.2 | en_GB |
dc.identifier.journal | Journal of Advances in Modeling Earth Systems | en_GB |