Articles | Volume 15, issue 21
https://doi.org/10.5194/bg-15-6713-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-6713-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Nov 2018
Research article |
| 12 Nov 2018
| 12 Nov 2018
Assessing biotic contributions to CO2 fluxes in northern China using the Vegetation, Photosynthesis and Respiration Model (VPRM-CHINA) and observations from 2005 to 2009
Department of Earth and Planetary Sciences, Harvard University,
Cambridge, 02138, USA
School of Engineering and Applied Sciences, Harvard University,
Cambridge, 02138, USA
J. William Munger
School of Engineering and Applied Sciences, Harvard University,
Cambridge, 02138, USA
Steven C. Wofsy
Department of Earth and Planetary Sciences, Harvard University,
Cambridge, 02138, USA
School of Engineering and Applied Sciences, Harvard University,
Cambridge, 02138, USA
Yuxuan Wang
Department of Earth and Atmospheric Sciences, University of Houston,
Houston, 77204, USA
Department of Earth System Sciences, Tsinghua University, Beijing,
100084, People's Republic of China
Thomas Nehrkorn
Atmospheric and Environmental Research, Inc., Lexington, 02421, USA
Yu Zhao
School of the Environment, University of Nanjing, Nanjing, 210023,
People's Republic of China
Michael B. McElroy
School of Engineering and Applied Sciences, Harvard University,
Cambridge, 02138, USA
Chris P. Nielsen
School of Engineering and Applied Sciences, Harvard University,
Cambridge, 02138, USA
Kristina Luus
Centre for Applied Data Analytics (CeADAR), Dublin 4, Ireland
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Cited
14 citations as recorded by crossref.
- Responses of the Key Phenological Characteristics and Carbon Flux of Winter Wheat to Climatic Time-Lag Effects and Crop Management on the North China Plain J. Yang et al. 10.1007/s42106-024-00292-5
- A review of applied research on low-carbon urban design: based on scientific knowledge mapping G. Wang et al. 10.1007/s11356-023-29490-w
- Linking global terrestrial CO<sub>2</sub> fluxes and environmental drivers: inferences from the Orbiting Carbon Observatory 2 satellite and terrestrial biospheric models Z. Chen et al. 10.5194/acp-21-6663-2021
- Analysis of CO<sub>2</sub> spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. 10.5194/acp-21-7217-2021
- Assessing atmospheric CO2 concentrations and contributions from biogenic and anthropogenic sources in the Pearl River Delta region B. Mai et al. 10.1016/j.uclim.2024.101864
- The Synergistic Effect of the Same Climatic Factors on Water Use Efficiency Varies between Daily and Monthly Scales G. Li et al. 10.3390/su16208925
- Century‐long variations of growing‐season compound dry–hot extremes and their links with large‐scale climate patterns in China S. Guo et al. 10.1002/joc.8275
- On the Large Variation in Atmospheric CO2 Concentration at Shangdianzi GAW Station during Two Dust Storm Events in March 2021 X. Li et al. 10.3390/atmos14091348
- Effect of atmospheric conditions and VPRM parameters on high-resolution regional CO2 simulations over East Asia M. Seo et al. 10.1007/s00704-023-04663-2
- Very high-resolution Net Ecosystem Exchange over India using Vegetation Photosynthesis and Respiration Model (VPRM) simulations A. Raju et al. 10.1016/j.ecolmodel.2023.110340
- Implementation of Improved Parameterization of Terrestrial Flux in WRF‐VPRM Improves the Simulation of Nighttime CO2 Peaks and a Daytime CO2 Band Ahead of a Cold Front X. Hu et al. 10.1029/2020JD034362
- Evidence of Carbon Uptake Associated with Vegetation Greening Trends in Eastern China Z. He et al. 10.3390/rs12040718
- Evaluating China's anthropogenic CO<sub>2</sub> emissions inventories: a northern China case study using continuous surface observations from 2005 to 2009 A. Dayalu et al. 10.5194/acp-20-3569-2020
- Listening to the Forest: An Artificial Neural Network‐Based Model of Carbon Uptake at Harvard Forest G. Eshel et al. 10.1029/2018JG004791
13 citations as recorded by crossref.
- Responses of the Key Phenological Characteristics and Carbon Flux of Winter Wheat to Climatic Time-Lag Effects and Crop Management on the North China Plain J. Yang et al. 10.1007/s42106-024-00292-5
- A review of applied research on low-carbon urban design: based on scientific knowledge mapping G. Wang et al. 10.1007/s11356-023-29490-w
- Linking global terrestrial CO<sub>2</sub> fluxes and environmental drivers: inferences from the Orbiting Carbon Observatory 2 satellite and terrestrial biospheric models Z. Chen et al. 10.5194/acp-21-6663-2021
- Analysis of CO<sub>2</sub> spatio-temporal variations in China using a weather–biosphere online coupled model X. Dong et al. 10.5194/acp-21-7217-2021
- Assessing atmospheric CO2 concentrations and contributions from biogenic and anthropogenic sources in the Pearl River Delta region B. Mai et al. 10.1016/j.uclim.2024.101864
- The Synergistic Effect of the Same Climatic Factors on Water Use Efficiency Varies between Daily and Monthly Scales G. Li et al. 10.3390/su16208925
- Century‐long variations of growing‐season compound dry–hot extremes and their links with large‐scale climate patterns in China S. Guo et al. 10.1002/joc.8275
- On the Large Variation in Atmospheric CO2 Concentration at Shangdianzi GAW Station during Two Dust Storm Events in March 2021 X. Li et al. 10.3390/atmos14091348
- Effect of atmospheric conditions and VPRM parameters on high-resolution regional CO2 simulations over East Asia M. Seo et al. 10.1007/s00704-023-04663-2
- Very high-resolution Net Ecosystem Exchange over India using Vegetation Photosynthesis and Respiration Model (VPRM) simulations A. Raju et al. 10.1016/j.ecolmodel.2023.110340
- Implementation of Improved Parameterization of Terrestrial Flux in WRF‐VPRM Improves the Simulation of Nighttime CO2 Peaks and a Daytime CO2 Band Ahead of a Cold Front X. Hu et al. 10.1029/2020JD034362
- Evidence of Carbon Uptake Associated with Vegetation Greening Trends in Eastern China Z. He et al. 10.3390/rs12040718
- Evaluating China's anthropogenic CO<sub>2</sub> emissions inventories: a northern China case study using continuous surface observations from 2005 to 2009 A. Dayalu et al. 10.5194/acp-20-3569-2020
1 citations as recorded by crossref.
Latest update: 14 Dec 2024
Short summary
Accounting for the vegetation signal is critical for comprehensive CO2 budget assessment in China. We model and evaluate hourly vegetation carbon dioxide (CO2) exchange (mass per unit area per unit time) in northern China from 2005 to 2009. The model is driven by satellite and meteorological data, is linked to ground-level ecosystem observations, and is applicable to other time periods. We find vegetation uptake of CO2 in summer is comparable to emissions from fossil fuels in northern China.
Accounting for the vegetation signal is critical for comprehensive CO2 budget assessment in...
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