Articles | Volume 11, issue 23
https://doi.org/10.5194/bg-11-6985-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-11-6985-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Dec 2014
Research article |
| 11 Dec 2014
Using atmospheric observations to evaluate the spatiotemporal variability of CO2 fluxes simulated by terrestrial biospheric models
Y. Fang
CORRESPONDING AUTHOR
Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA
A. M. Michalak
Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA
Y. P. Shiga
Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA
Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA
V. Yadav
Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA
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Cited
16 citations as recorded by crossref.
- Atmospheric CO2 Observations Reveal Strong Correlation Between Regional Net Biospheric Carbon Uptake and Solar‐Induced Chlorophyll Fluorescence Y. Shiga et al. 10.1002/2017GL076630
- Midwest US Croplands Determine Model Divergence in North American Carbon Fluxes W. Sun et al. 10.1029/2020AV000310
- Multiscale assessment of North American terrestrial carbon balance K. Foster et al. 10.5194/bg-21-869-2024
- A multiyear estimate of methane fluxes in Alaska from CARVE atmospheric observations S. Miller et al. 10.1002/2016GB005419
- Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
- Evaluation of wetland methane emissions across North America using atmospheric data and inverse modeling S. Miller et al. 10.5194/bg-13-1329-2016
- Characterizing biospheric carbon balance using CO<sub>2</sub> observations from the OCO-2 satellite S. Miller et al. 10.5194/acp-18-6785-2018
- 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
- Atmospheric observations inform CO2 flux responses to enviroclimatic drivers Y. Fang & A. Michalak 10.1002/2014GB005034
- The impact of improved satellite retrievals on estimates of biospheric carbon balance S. Miller & A. Michalak 10.5194/acp-20-323-2020
- Solar‐Induced Fluorescence Helps Constrain Global Patterns in Net Biosphere Exchange, as Estimated Using Atmospheric CO2 Observations M. Zhang et al. 10.1029/2023JG007703
- Siting Background Towers to Characterize Incoming Air for Urban Greenhouse Gas Estimation: A Case Study in the Washington, DC/Baltimore Area K. Mueller et al. 10.1002/2017JD027364
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
- Biome-scale temperature sensitivity of ecosystem respiration revealed by atmospheric CO2 observations W. Sun et al. 10.1038/s41559-023-02093-x
- Spatio‐temporally Resolved Methane Fluxes From the Los Angeles Megacity V. Yadav et al. 10.1029/2018JD030062
- A statistical approach for isolating fossil fuel emissions in atmospheric inverse problems V. Yadav et al. 10.1002/2016JD025642
15 citations as recorded by crossref.
- Atmospheric CO2 Observations Reveal Strong Correlation Between Regional Net Biospheric Carbon Uptake and Solar‐Induced Chlorophyll Fluorescence Y. Shiga et al. 10.1002/2017GL076630
- Midwest US Croplands Determine Model Divergence in North American Carbon Fluxes W. Sun et al. 10.1029/2020AV000310
- Multiscale assessment of North American terrestrial carbon balance K. Foster et al. 10.5194/bg-21-869-2024
- A multiyear estimate of methane fluxes in Alaska from CARVE atmospheric observations S. Miller et al. 10.1002/2016GB005419
- Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
- Evaluation of wetland methane emissions across North America using atmospheric data and inverse modeling S. Miller et al. 10.5194/bg-13-1329-2016
- Characterizing biospheric carbon balance using CO<sub>2</sub> observations from the OCO-2 satellite S. Miller et al. 10.5194/acp-18-6785-2018
- 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
- Atmospheric observations inform CO2 flux responses to enviroclimatic drivers Y. Fang & A. Michalak 10.1002/2014GB005034
- The impact of improved satellite retrievals on estimates of biospheric carbon balance S. Miller & A. Michalak 10.5194/acp-20-323-2020
- Solar‐Induced Fluorescence Helps Constrain Global Patterns in Net Biosphere Exchange, as Estimated Using Atmospheric CO2 Observations M. Zhang et al. 10.1029/2023JG007703
- Siting Background Towers to Characterize Incoming Air for Urban Greenhouse Gas Estimation: A Case Study in the Washington, DC/Baltimore Area K. Mueller et al. 10.1002/2017JD027364
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
- Biome-scale temperature sensitivity of ecosystem respiration revealed by atmospheric CO2 observations W. Sun et al. 10.1038/s41559-023-02093-x
- Spatio‐temporally Resolved Methane Fluxes From the Los Angeles Megacity V. Yadav et al. 10.1029/2018JD030062
1 citations as recorded by crossref.
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Latest update: 13 Dec 2024
Short summary
Terrestrial biospheric models (TBMs) are used to assess carbon--climate interactions. We present a new and complementary approach for evaluating the spatiotemporal patterns, rather than magnitudes, of biosphere--atmosphere carbon exchange predicted by TBMs, based on atmospheric observations. Experiments demonstrate that the performance of TBMs varies substantially across seasons and biomes, with best performance during the growing season and more limited skill during transition seasons.
Terrestrial biospheric models (TBMs) are used to assess carbon--climate interactions. We present...
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