Articles | Volume 14, issue 4
Geosci. Model Dev., 14, 2029–2039, 2021
https://doi.org/10.5194/gmd-14-2029-2021
Geosci. Model Dev., 14, 2029–2039, 2021
https://doi.org/10.5194/gmd-14-2029-2021

Model experiment description paper 20 Apr 2021

Model experiment description paper | 20 Apr 2021

How to reconstruct aerosol-induced diffuse radiation scenario for simulating GPP in land surface models? An evaluation of reconstruction methods with ORCHIDEE_DFv1.0_DFforc

Yuan Zhang et al.

Data sets

CRU JRA v1.1: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data I. Harris https://doi.org/10.5285/13f3635174794bb98cf8ac4b0ee8f4ed

Diffuse fraction distributions 1901-2017 in support of carbon cycle modelling N. Bellouin, M. O'Sullivan, and S. Sitch https://doi.org/10.6084/m9.figshare.14423690

Diffuse fraction distributions 1901-2017 in support of carbon cycle modelling: Constant aerosols N. Bellouin, M. O'Sullivan, and S. Sitch https://doi.org/10.6084/m9.figshare.14428160

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Short summary
We investigated different methods to reconstruct spatiotemporal distribution of the fraction of diffuse radiation (Fdf) to qualify the aerosol impacts on GPP using the ORCHIDEE_DF land surface model. We find that climatological-averaging methods which dampen the variability of Fdf can cause significant bias in the modeled diffuse radiation impacts on GPP. Better methods to reconstruct Fdf are recommended.