Articles | Volume 13, issue 2
https://doi.org/10.5194/esd-13-833-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-13-833-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Apr 2022
Research article |
| 19 Apr 2022
| 19 Apr 2022
Divergent historical GPP trends among state-of-the-art multi-model simulations and satellite-based products
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
Ning Zeng
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
Matthew Joseph McGrath
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
Hanqin Tian
International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA
Atul K. Jain
Department of Atmospheric Science, University of Illinois, Urbana, IL, USA
Pengfei Han
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
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- Estimating global annual gross primary production based on satellite-derived phenology and maximal carbon uptake capacity X. Xu & D. Chen 10.1016/j.envres.2024.119063
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- Different trends of vegetation activity over northern extratropics during two multidecadal warming periods in the 20th century Z. Guo et al. 10.1016/j.gloplacha.2023.104181
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- Distinct impacts of the El Niño–Southern Oscillation and Indian Ocean Dipole on China's gross primary production R. Yan et al. 10.5194/bg-21-5027-2024
- Incorporating environmental stress improves estimation of photosynthesis from NIRvP in US Great Plains pasturelands and Midwest croplands L. Gao et al. 10.1016/j.rse.2024.114516
- A moving target: trade‐offs between maximizing carbon and minimizing hydraulic stress for plants in a changing climate G. Quetin et al. 10.1111/nph.20127
- Spatiotemporal Variability of Gross Primary Productivity in Türkiye: A Multi-Source and Multi-Method Assessment E. Başakın et al. 10.3390/rs16111994
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- Continuity of Global MODIS Terrestrial Primary Productivity Estimates in the VIIRS Era Using Model‐Data Fusion K. Endsley et al. 10.1029/2023JG007457
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Latest update: 13 Dec 2024
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.
We comprehensively investigate historical GPP trends based on five kinds of GPP datasets and...
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