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hal.structure.identifierPeking University [Beijing]
dc.contributor.authorCHEN, Yiying
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorRYDER, James
dc.contributor.authorBASTRIKOV, Vladislav
hal.structure.identifierEmerald Publishing
dc.contributor.authorMCGRATH, Matthew J.
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorNAUDTS, Kim
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorOTTO, Juliane
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
hal.structure.identifierModélisation des Surfaces et Interfaces Continentales [MOSAIC]
dc.contributor.authorOTTLE, Catherine
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
hal.structure.identifierModélisation des Surfaces et Interfaces Continentales [MOSAIC]
dc.contributor.authorPEYLIN, Philippe
hal.structure.identifierLaboratoire de Météorologie Dynamique (UMR 8539) [LMD]
dc.contributor.authorPOLCHER, Jan
dc.contributor.authorVALADE, Aude
hal.structure.identifierLand and Food Systems
dc.contributor.authorBLACK, Andrew
dc.contributor.authorELBERS, Jan A.
hal.structure.identifierAlterra [Wageningen] [ESS-CC]
dc.contributor.authorMOORS, Eddy
hal.structure.identifierBayCEER, Bayreuth Center of Ecology and Environmental Research
dc.contributor.authorFOKEN, Thomas
hal.structure.identifierCSIRO Marine and Atmospheric Research
dc.contributor.authorVAN GORSEL, Eva
hal.structure.identifierCommonwealth Scientific and Industrial Research Organisation (CSIRO)
dc.contributor.authorHAVERD, Vanessa
hal.structure.identifierGembloux Agro-Bio Tech [Gembloux]
dc.contributor.authorHEINESCH, Bernard
hal.structure.identifierJönköping University [Sweden]
dc.contributor.authorTIEDEMANN, Frank
hal.structure.identifierGeorg-August-University = Georg-August-Universität Göttingen
dc.contributor.authorKNOHL, Alexander
hal.structure.identifierHelsingin yliopisto = Helsingfors universitet = University of Helsinki
dc.contributor.authorLAUNIAINEN, Samuli
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorLOUSTAU, Denis
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorOGÉE, Jérôme
dc.contributor.authorVESSALA, Timo
hal.structure.identifierLaboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] [LSCE]
dc.contributor.authorLUYSSAERT, Sebastiaan
dc.date.accessioned2024-04-08T12:03:21Z
dc.date.available2024-04-08T12:03:21Z
dc.date.issued2016
dc.identifier.issn1991-9603
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196261
dc.description.abstractEnCanopy structure is one of the most important vegetation characteristics for land–atmosphere interactions, as it determines the energy and scalar exchanges between the land surface and the overlying air mass. In this study we evaluated the performance of a newly developed multi-layer energy budget in the ORCHIDEE-CAN v1.0 land surface model (Organising Carbon and Hydrology In Dynamic Ecosystems – CANopy), which simulates canopy structure and can be coupled to an atmospheric model using an implicit coupling procedure. We aim to provide a set of acceptable parameter values for a range of forest types. Top-canopy and sub-canopy flux observations from eight sites were collected in order to conduct this evaluation. The sites crossed climate zones from temperate to boreal and the vegetation types included deciduous, evergreen broad-leaved and evergreen needle-leaved forest with a maximum leaf area index (LAI; all-sided) ranging from 3.5 to 7.0. The parametrization approach proposed in this study was based on three selected physical processes – namely the diffusion, advection, and turbulent mixing within the canopy. Short-term sub-canopy observations and long-term surface fluxes were used to calibrate the parameters in the sub-canopy radiation, turbulence, and resistance modules with an automatic tuning process. The multi-layer model was found to capture the dynamics of sub-canopy turbulence, temperature, and energy fluxes. The performance of the new multi-layer model was further compared against the existing single-layer model. Although the multi-layer model simulation results showed few or no improvements to both the nighttime energy balance and energy partitioning during winter compared with a single-layer model simulation, the increased model complexity does provide a more detailed description of the canopy micrometeorology of various forest types. The multi-layer model links to potential future environmental and ecological studies such as the assessment of in-canopy species vulnerability to climate change, the climate effects of disturbance intensities and frequencies, and the consequences of biogenic volatile organic compound (BVOC) emissions from the terrestrial ecosystem.
dc.language.isoen
dc.publisherEuropean Geosciences Union
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.title.enEvaluating the performance of land surface model ORCHIDEE-CAN v1.0 on water and energy flux estimation with a single- and multi-layer energy budget scheme
dc.typeArticle de revue
dc.identifier.doi10.5194/gmd-9-2951-2016
dc.subject.halPlanète et Univers [physics]/Océan, Atmosphère
dc.subject.halPlanète et Univers [physics]/Interfaces continentales, environnement
bordeaux.journalGeoscientific Model Development
bordeaux.page2951 - 2972
bordeaux.volume9
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue9
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-01587561
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01587561v1
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