Articles | Volume 13, issue 2
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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (25 Feb 2022) by Somnath Baidya Roy
AR by Ruqi Yang on behalf of the Authors (28 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (04 Mar 2022) by Somnath Baidya Roy
RR by Anonymous Referee #2 (14 Mar 2022)
ED: Publish as is (14 Mar 2022) by Somnath Baidya Roy
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.
Final-revised paper