Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 4
Articles | Volume 14, issue 4
https://doi.org/10.5194/gmd-14-2029-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-2029-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 4
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, Olivier Boucher, Philippe Ciais, Laurent Li, and Nicolas Bellouin

Viewed

Total article views: 2,666 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,778 814 74 2,666 123 95 91
  • HTML: 1,778
  • PDF: 814
  • XML: 74
  • Total: 2,666
  • Supplement: 123
  • BibTeX: 95
  • EndNote: 91
Views and downloads (calculated since 14 Oct 2020)
Cumulative views and downloads (calculated since 14 Oct 2020)

Viewed (geographical distribution)

Total article views: 2,666 (including HTML, PDF, and XML) Thereof 2,440 with geography defined and 226 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Apr 2025
Download
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.
Read more
Share