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dc.contributor.authorNAUDTS Kimen_GB
dc.contributor.authorRYDER Jamesen_GB
dc.contributor.authorMCGRATH Matthewen_GB
dc.contributor.authorOTTO Jullianeen_GB
dc.contributor.authorCHEN Yijingen_GB
dc.contributor.authorVALADE Audeen_GB
dc.contributor.authorBELLASEN Valentinen_GB
dc.contributor.authorBERHONGARAY Gonzaloen_GB
dc.contributor.authorBONISCH Gerharden_GB
dc.contributor.authorCAMPIOLI Matteoen_GB
dc.contributor.authorGHATTAS Josefineen_GB
dc.contributor.authorDE GROOTE Toonen_GB
dc.contributor.authorHAVERD Vanessaen_GB
dc.contributor.authorKATTGE Jensen_GB
dc.contributor.authorMACBEAN Natashaen_GB
dc.contributor.authorMAIGNAN F.en_GB
dc.contributor.authorMERILÄ Paivien_GB
dc.contributor.authorPENUELAS J.en_GB
dc.contributor.authorPEYLIN Pen_GB
dc.contributor.authorPINTY Bernarden_GB
dc.contributor.authorPRETZSCH Hansen_GB
dc.contributor.authorSCHULZE Ernest Detlefen_GB
dc.contributor.authorSOLYGA Didieren_GB
dc.contributor.authorVUICHARD N.en_GB
dc.contributor.authorYANG Yanen_GB
dc.contributor.authorLUYSSAERTS Sebastiaanen_GB
dc.date.accessioned2015-10-01T00:29:23Z-
dc.date.available2015-09-30en_GB
dc.date.available2015-10-01T00:29:23Z-
dc.date.created2015-09-23en_GB
dc.date.issued2015en_GB
dc.date.submitted2015-06-12en_GB
dc.identifier.citationGEOSCIENTIFIC MODEL DEVELOPMENT vol. 8 no. 7 p. 2035–2065en_GB
dc.identifier.issn1991-959Xen_GB
dc.identifier.urihttp://www.geosci-model-dev.net/8/2035/2015/gmd-8-2035-2015.htmlen_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC96416-
dc.description.abstractSince 70% of global forests are managed and forests impact the global carbon cycle and the energy exchange with the overlying atmosphere, forest management has the potential to mitigate climate change. Yet, none of the land surface models used in Earth system models, and therefore none of today’s predictions of future climate, account for the interactions between climate and forest management. We addressed this gap in modelling capability by developing and parametrizing a version of the land surface model ORCHIDEE to simulate the biogeochemical and biophysical effects of forest management. The most significant changes between the new branch called ORCHIDEE-CAN (SVN r2290) and the trunk version of ORCHIDEE (SVN r2243) are the allometric-based allocation of carbon to leaf, root, wood, fruit and reserve pools; the transmittance, absorbance and reflectance of radiation within the canopy; and the vertical discretisation of the energy budget calculations. In addition, conceptual changes were introduced towards a better process representation for the interaction of radiation with snow, the hydraulic architecture of plants, the representation of forest management and a numerical solution for the photosynthesis formalism of Farquhar, von Caemmerer and Berry. For consistency reasons, these changes were extensively linked throughout the code. Parametrization was revisited after introducing twelve new parameter sets that represent specific tree species or genera rather than a group of often distantly related or even unrelated species, as is the case in widely used plant functional types. Performance of the new model was compared against the trunk and validated against independent spatially explicit data for basal area, tree height, canopy strucure, GPP, albedo and evapotranspiration over Europe. For all tested variables ORCHIDEE-CAN outperformed the trunk regarding its ability to reproduce large-scale spatial patterns as well as their inter-annual variability over Europe. Depending on the data stream, ORCHIDEE-CAN had a 67% to 92% chance to reproduce the spatial and temporal variability of the validation data.en_GB
dc.description.sponsorshipJRC.H.5-Land Resources Managementen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherCOPERNICUS GESELLSCHAFT MBHen_GB
dc.relation.ispartofseriesJRC96416en_GB
dc.titleA vertically discretised canopy description for ORCHIDEE (SVN r2290) and the modifications to the energy, water and carbon fluxesen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.5194/gmd-8-2035-2015en_GB
JRC Directorate:Sustainable Resources

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