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: 6,890 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
4,950
1,839
101
6,890
592
133
151
HTML: 4,950
PDF: 1,839
XML: 101
Total: 6,890
Supplement: 592
BibTeX: 133
EndNote: 151
Views and downloads (calculated since 23 Sep 2021)
Cumulative views and downloads
(calculated since 23 Sep 2021)
Total article views: 5,044 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
3,744
1,221
79
5,044
330
122
133
HTML: 3,744
PDF: 1,221
XML: 79
Total: 5,044
Supplement: 330
BibTeX: 122
EndNote: 133
Views and downloads (calculated since 19 Apr 2022)
Cumulative views and downloads
(calculated since 19 Apr 2022)
Total article views: 1,846 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,206
618
22
1,846
262
11
18
HTML: 1,206
PDF: 618
XML: 22
Total: 1,846
Supplement: 262
BibTeX: 11
EndNote: 18
Views and downloads (calculated since 23 Sep 2021)
Cumulative views and downloads
(calculated since 23 Sep 2021)
Viewed (geographical distribution)
Total article views: 6,890 (including HTML, PDF, and XML)
Thereof 6,587 with geography defined
and 303 with unknown origin.
Total article views: 5,044 (including HTML, PDF, and XML)
Thereof 4,855 with geography defined
and 189 with unknown origin.
Total article views: 1,846 (including HTML, PDF, and XML)
Thereof 1,732 with geography defined
and 114 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...