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
Ruqi Yang
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, Jiangsu, China
Frontiers Science Center for Critical Earth Material Cycling, Nanjing University, Nanjing, Jiangsu, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
Department of Atmospheric and Oceanic Science, and Earth System
Science Interdisciplinary Center, University of Maryland, College Park,
MD, USA
Stephen Sitch
College of Life and Environmental Sciences, University of Exeter, Exeter, UK
Wenhan Tang
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China
Laboratoire des Sciences du Climat et de l'Environnement/Institut
Pierre Simon Laplace, Commissariat à l'Énergie, Atomique et aux Énergies Alternatives–CNRS– Université de Versailles Saint-Quentin,
Université Paris-Saclay, Gif-sur-Yvette, France
Qixiang Cai
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
Di Liu
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
Danica Lombardozzi
National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, Boulder, CO, USA
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Viewed
Total article views: 7,228 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
5,149
1,967
112
7,228
621
144
167
HTML: 5,149
PDF: 1,967
XML: 112
Total: 7,228
Supplement: 621
BibTeX: 144
EndNote: 167
Views and downloads (calculated since 23 Sep 2021)
Cumulative views and downloads
(calculated since 23 Sep 2021)
Total article views: 5,336 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,918
1,329
89
5,336
347
132
148
HTML: 3,918
PDF: 1,329
XML: 89
Total: 5,336
Supplement: 347
BibTeX: 132
EndNote: 148
Views and downloads (calculated since 19 Apr 2022)
Cumulative views and downloads
(calculated since 19 Apr 2022)
Total article views: 1,892 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,231
638
23
1,892
274
12
19
HTML: 1,231
PDF: 638
XML: 23
Total: 1,892
Supplement: 274
BibTeX: 12
EndNote: 19
Views and downloads (calculated since 23 Sep 2021)
Cumulative views and downloads
(calculated since 23 Sep 2021)
Viewed (geographical distribution)
Total article views: 7,228 (including HTML, PDF, and XML)
Thereof 6,909 with geography defined
and 319 with unknown origin.
Total article views: 5,336 (including HTML, PDF, and XML)
Thereof 5,132 with geography defined
and 204 with unknown origin.
Total article views: 1,892 (including HTML, PDF, and XML)
Thereof 1,777 with geography defined
and 115 with unknown origin.
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.
We comprehensively investigate historical GPP trends based on five kinds of GPP datasets and...
