EGU21-11445, updated on 04 Mar 2021
https://doi.org/10.5194/egusphere-egu21-11445
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Evaluation of key parameters controlling phenology-induced variability of surface fluxes in land surface models

Jan De Pue1, José Miguel Barrios1, Liyang Liu2, Philippe Ciais2, Alirio Arboleda1, Rafiq Hamdi1, Manuela Balzarolo3, Ivan Janssens3, Fabienne Maignan1, and Françoise Gellens-Meulenberghs1
Jan De Pue et al.
  • 1Royal Meteorological Institute of Belgium, Meteorological and Climatological Research, Brussels, Belgium (jan.depue@meteo.be)
  • 2Atomic Energy and Alternative Energies Commission, Laboratoire des Sciences du Climat et de l’Environnement, Gif-sur-Yvette, France
  • 3University of Antwerp, Department of Biology, Antwerp, Belgium

Over the past decades, land surface models have evolved into advanced tools which comprise detailed process descriptions and interactions at a broad range of scales. One of the challenges in these models is the accurate simulation of plant phenology. It is a key element at the nexus of the simulated hydrological and carbon cycle, where the leaf area index (LAI) plays a major role in flux partitioning, water balance and gross primary production.
In this study, three well-established models are used to simulate the intrinsically coupled fluxes of water, energy and carbon from terrestrial vegetation. ORCHIDEE, ISBA-CC and the LSA-SAF algorithm each have a different approach to represent plant phenology. Whereas ISBA-CC has a fairly simple biomass allocation scheme to represent the phenological cycle, ORCHIDEE relies on a dedicated phenology module, and LSA-SAF is driven by remote-sensed forcing variables, such as LAI. Simulations were performed for a wide range of hydro-climatic biomes and plant functional types at field scale. The simulated fluxes were validated using eddy-covariance measurements, and the simulated phenology was compared to remote-sensed observations.
These models are tools to extrapolate leaf-level processes to global scale climate predictions. The origin of the parameters controlling phenology-induced variability in these models ranges from plant-scale lab experiments to global-scale calibration. The aim of this study is to investigate the key parameters controlling phenology-induced variability in these models.

How to cite: De Pue, J., Barrios, J. M., Liu, L., Ciais, P., Arboleda, A., Hamdi, R., Balzarolo, M., Janssens, I., Maignan, F., and Gellens-Meulenberghs, F.: Evaluation of key parameters controlling phenology-induced variability of surface fluxes in land surface models, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-11445, https://doi.org/10.5194/egusphere-egu21-11445, 2021.

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