Articles | Volume 13, issue 2
https://doi.org/10.5194/esd-13-833-2022
https://doi.org/10.5194/esd-13-833-2022
Research article
 | 
19 Apr 2022
Research article |  | 19 Apr 2022

Divergent historical GPP trends among state-of-the-art multi-model simulations and satellite-based products

Ruqi Yang, Jun Wang, Ning Zeng, Stephen Sitch, Wenhan Tang, Matthew Joseph McGrath, Qixiang Cai, Di Liu, Danica Lombardozzi, Hanqin Tian, Atul K. Jain, and Pengfei Han

Viewed

Total article views: 5,422 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,903 1,449 70 5,422 438 80 81
  • HTML: 3,903
  • PDF: 1,449
  • XML: 70
  • Total: 5,422
  • Supplement: 438
  • BibTeX: 80
  • EndNote: 81
Views and downloads (calculated since 23 Sep 2021)
Cumulative views and downloads (calculated since 23 Sep 2021)

Viewed (geographical distribution)

Total article views: 5,422 (including HTML, PDF, and XML) Thereof 5,126 with geography defined and 296 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 04 Oct 2024
Download
Short summary
We comprehensively investigate historical GPP trends based on five kinds of GPP datasets and analyze the causes for any discrepancies among them. Results show contrasting behaviors between modeled and satellite-based GPP trends, and their inconsistencies are likely caused by the contrasting performance between satellite-derived and modeled leaf area index (LAI). Thus, the uncertainty in satellite-based GPP induced by LAI undermines its role in assessing the performance of DGVM simulations.
Altmetrics
Final-revised paper
Preprint