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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Cited
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- Insights into Canopy Escape Ratio from Canopy Structures: Correlations Uncovered through Sentinel-2 and Field Observation J. Lee et al. 10.3390/f15040665
- Assessment of Carbon Productivity Trends and Their Resilience to Drought Disturbances in the Middle East Based on Multi-Decadal Space-Based Datasets K. Alsafadi et al. 10.3390/rs14246237
- Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products J. Xu et al. 10.1080/17538947.2023.2239795
- Boreal–Arctic wetland methane emissions modulated by warming and vegetation activity K. Yuan et al. 10.1038/s41558-024-01933-3
- Vegetation growth due to CO2 fertilization is threatened by increasing vapor pressure deficit S. Li et al. 10.1016/j.jhydrol.2023.129292
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- Different Satellite Products Revealing Variable Trends in Global Gross Primary Production Y. Bai et al. 10.1029/2022JG006918
10 citations as recorded by crossref.
- High-Resolution Remote Sensing Images Can Better Estimate Changes in Carbon Assimilation of an Urban Forest Q. Huang et al. 10.3390/rs15010071
- An abrupt shift in gross primary productivity over Eastern China-Mongolia and its inter-model diversity in land surface models D. Lee et al. 10.1038/s41598-023-49763-1
- Insights into Canopy Escape Ratio from Canopy Structures: Correlations Uncovered through Sentinel-2 and Field Observation J. Lee et al. 10.3390/f15040665
- Assessment of Carbon Productivity Trends and Their Resilience to Drought Disturbances in the Middle East Based on Multi-Decadal Space-Based Datasets K. Alsafadi et al. 10.3390/rs14246237
- Variability and trends in land surface longwave radiation fluxes from six satellite and reanalysis products J. Xu et al. 10.1080/17538947.2023.2239795
- Boreal–Arctic wetland methane emissions modulated by warming and vegetation activity K. Yuan et al. 10.1038/s41558-024-01933-3
- Vegetation growth due to CO2 fertilization is threatened by increasing vapor pressure deficit S. Li et al. 10.1016/j.jhydrol.2023.129292
- Divergent trajectories of future global gross primary productivity and evapotranspiration of terrestrial vegetation in Shared Socioeconomic Pathways X. Zhou et al. 10.1016/j.scitotenv.2024.170580
- 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
- Continuity of Global MODIS Terrestrial Primary Productivity Estimates in the VIIRS Era Using Model‐Data Fusion K. Endsley et al. 10.1029/2023JG007457
1 citations as recorded by crossref.
Discussed (final revised paper)
Latest update: 23 Apr 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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