EGU General Assembly 2020
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Phenology-induced energy and carbon fluxes in land surface models

Jan De Pue1, José Miguel Barrios1, Fabienne Maignan2, Liyang Liu2, Philippe Ciais2, Alirio Arboleda1, Rafiq Hamdi1, Manuela Balzarolo3, and Françoise Gellens-Meulenberghs1
Jan De Pue et al.
  • 1Royal Meteorological Institute of Belgium, Meteorological and Climatological Research, Belgium (
  • 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

The annual phenological cycle is of key importance for the carbon and energy fluxes in terrestrial ecosystems. Although the processes controlling budburst and leaf senescence are fairly well known, the connection between plant phenology and the carbon fluxes remains a challenging aspect in land surface modelling (LSM). In this study, the modelling strategies of three well stablished LSM are compared. The LSM considered in this study were: ORCHIDEE, ISBA-A-gs and the model driving the LSA-SAF evapotranspiration product ( The latter model does not simulate the carbon fluxes but focuses on the computation of evapotranspiration and energy fluxes.
The phenological cycle is simulated explicitly in the ORCHIDEE model, using empirical relations based on temperature sum, water availability, and other variables. In the ISBA-A-gs model, phenology and LAI development is fully photosynthesis-driven. The phenology in the LSA-SAF model is driven by remote sensing forcing variables, such as LAI observations. Alternatively, the assimilation of remote sensing LAI products is a convenient method to improve the simulated phenological cycle in land surface models. A dedicated module for this operation is available in ISBA-A-gs.
Simulations were performed over a wide range of climatological conditions and plant functional types. The results were then validated with in-situ measurements conducted at Fluxnet stations. In addition to the comparison between measured and modelled carbon fluxes, the validation in this study included the intra-annual variation in the simulated phenological cycle.

How to cite: De Pue, J., Barrios, J. M., Maignan, F., Liu, L., Ciais, P., Arboleda, A., Hamdi, R., Balzarolo, M., and Gellens-Meulenberghs, F.: Phenology-induced energy and carbon fluxes in land surface models, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-17702,, 2020