Evaluating 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

Yiying Chen (1) , James Ryder (2) , Vladislav Bastrikov , Matthew J. Mcgrath (3) , Kim Naudts (2) , Juliane Otto (2) , Catherine Ottle (2, 4) , Philippe Peylin (2, 4) , Jan Polcher (5) , Aude Valade , Andrew Black (6) , Jan A. Elbers , Eddy Moors (7) , Thomas Foken (8) , Eva van Gorsel (9) , Vanessa Haverd (10) , Bernard Heinesch (11) , Frank Tiedemann (12) , Alexander Knohl (13) , Samuli Launiainen (14) , Denis Loustau (15) , Jérôme Ogée (15) , Timo Vessala , Sebastiaan Luyssaert (2)

1 Peking University [Beijing]
2 LSCE - Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette]
3 Emerald Publishing
4 MOSAIC - Modélisation des Surfaces et Interfaces Continentales
5 LMD - Laboratoire de Météorologie Dynamique (UMR 8539)
6 Land and Food Systems
7 ESS-CC - Alterra [Wageningen]
8 BayCEER, Bayreuth Center of Ecology and Environmental Research
9 CSIRO Marine and Atmospheric Research
10 Commonwealth Scientific and Industrial Research Organisation (CSIRO)
11 Gembloux Agro-Bio Tech [Gembloux]
12 Jönköping University [Sweden]
13 Georg-August-University = Georg-August-Universität Göttingen
14 Helsingin yliopisto = Helsingfors universitet = University of Helsinki
15 UMR ISPA - Interactions Sol Plante Atmosphère

Canopy 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.

Domaines: Océan, Atmosphère; Interfaces continentales, environnement

Yiying Chen, James Ryder, Vladislav Bastrikov, Matthew J. Mcgrath, Kim Naudts, et al.. Evaluating 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. Geoscientific Model Development, 2016, 9 (9), pp.2951 - 2972. ⟨10.5194/gmd-9-2951-2016⟩. ⟨hal-01587561⟩