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: 2,392 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,545 777 70 2,392 110 80 78
  • HTML: 1,545
  • PDF: 777
  • XML: 70
  • Total: 2,392
  • Supplement: 110
  • BibTeX: 80
  • EndNote: 78
Views and downloads (calculated since 14 Oct 2020)
Cumulative views and downloads (calculated since 14 Oct 2020)

Viewed (geographical distribution)

Total article views: 2,392 (including HTML, PDF, and XML) Thereof 2,177 with geography defined and 215 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
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