Articles | Volume 19, issue 20
https://doi.org/10.5194/acp-19-13267-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-13267-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals
Sajeev Philip
CORRESPONDING AUTHOR
NASA Ames Research Center, Moffett Field, CA 94035, USA
NASA Postdoctoral Program administered by Universities Space Research
Association, Columbia, MD 21046, USA
now at: NASA Academic Mission Services by Universities Space
Research Association, Mountain View, CA 94043, USA
Matthew S. Johnson
CORRESPONDING AUTHOR
NASA Ames Research Center, Moffett Field, CA 94035, USA
Christopher Potter
NASA Ames Research Center, Moffett Field, CA 94035, USA
Vanessa Genovesse
School of Natural Sciences, California State University, Monterey Bay, CA 93955, USA
NASA Ames Research Center, Moffett Field, CA 94035, USA
David F. Baker
NOAA Earth System Research Laboratory, Global Monitoring Division,
Boulder, CO 80305-3337, USA
Cooperative Institute for Research in the Atmosphere, Colorado State
University, Fort Collins, CO 80521, USA
Katherine D. Haynes
Department of Atmospheric Science, Colorado State University, Fort
Collins, CO 80523, USA
Daven K. Henze
Department of Mechanical Engineering, University of Colorado at
Boulder, Boulder, CO 80309, USA
Junjie Liu
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Benjamin Poulter
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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30 citations as recorded by crossref.
- OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia S. Philip et al. 10.1029/2021JD035035
- A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO2 retrievals (GCAS2021) F. Jiang et al. 10.5194/essd-14-3013-2022
- A New Method for Top-Down Inversion Estimation of Carbon Dioxide Flux Based on Deep Learning H. Wang et al. 10.3390/rs16193694
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- Re-Evaluating the Value of Ecosystem Based on Carbon Benefit: A Case Study in Chengdu, China M. Dong et al. 10.3390/land12081605
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- Spatiotemporal Variations and Uncertainty in Crop Residue Burning Emissions over North China Plain: Implication for Atmospheric CO2 Simulation Y. Fu et al. 10.3390/rs13193880
- Impacts of different biomass burning emission inventories: Simulations of atmospheric CO2 concentrations based on GEOS-Chem M. Su et al. 10.1016/j.scitotenv.2023.162825
- Functional analysis of variance (ANOVA) for carbon flux estimates from remote sensing data J. Hobbs et al. 10.5194/gmd-17-1133-2024
- A Robust Estimate of Continental‐Scale Terrestrial Carbon Sinks Using GOSAT XCO2 Retrievals L. Zhang et al. 10.1029/2023GL102815
- Satellite-detected large CO2 release in southwestern North America during the 2020–2021 drought and associated wildfires H. Chen et al. 10.1088/1748-9326/ad3cf7
- WOMBAT v1.0: a fully Bayesian global flux-inversion framework A. Zammit-Mangion et al. 10.5194/gmd-15-45-2022
- A model for urban biogenic CO<sub>2</sub> fluxes: Solar-Induced Fluorescence for Modeling Urban biogenic Fluxes (SMUrF v1) D. Wu et al. 10.5194/gmd-14-3633-2021
- An Improved CH4 Profile Retrieving Method for Ground-Based Differential Absorption Lidar L. Fan et al. 10.3390/atmos15080937
- Improving CO₂ Concentration Profile Measurements From a Ground-Based CO₂-DIAL Through Conditional Adjustment T. Shi et al. 10.1109/LGRS.2020.3024230
- An inversion model based on GEOS-Chem for estimating global and China's terrestrial carbon fluxes in 2019 C. Wu et al. 10.1016/j.accre.2023.01.001
- Changes in the net primary production of ecosystems across Western Europe from 2015 to 2022 in response to historic drought events C. Potter & S. Pass 10.1186/s13021-024-00279-9
- Neutral Tropical African CO2 Exchange Estimated From Aircraft and Satellite Observations B. Gaubert et al. 10.1029/2023GB007804
- Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals W. He et al. 10.1029/2022JD037773
- Evaluating Global Atmospheric Inversions of Terrestrial Net Ecosystem Exchange CO2 Over North America on Seasonal and Sub‐Continental Scales Y. Cui et al. 10.1029/2022GL100147
- Multi‐Season Evaluation of CO2 Weather in OCO‐2 MIP Models L. Zhang et al. 10.1029/2021JD035457
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- Impact of Prior Terrestrial Carbon Fluxes on Simulations of Atmospheric CO2 Concentrations Y. Fu et al. 10.1029/2021JD034794
- National CO2budgets (2015–2020) inferred from atmospheric CO2observations in support of the global stocktake B. Byrne et al. 10.5194/essd-15-963-2023
- Four years of global carbon cycle observed from the Orbiting Carbon Observatory 2 (OCO-2) version 9 and in situ data and comparison to OCO-2 version 7 H. Peiro et al. 10.5194/acp-22-1097-2022
- Optimizing 4 years of CO2 biospheric fluxes from OCO-2 and in situ data in TM5: fire emissions from GFED and inferred from MOPITT CO data H. Peiro et al. 10.5194/acp-22-15817-2022
- Improved Constraints on Northern Extratropical CO2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO2 Measurements B. Byrne et al. 10.1029/2019JD032029
- Joint CO2 Mole Fraction and Flux Analysis Confirms Missing Processes in CASA Terrestrial Carbon Uptake Over North America S. Feng et al. 10.1029/2020GB006914
- Estimated regional CO2flux and uncertainty based on an ensemble of atmospheric CO2inversions N. Chandra et al. 10.5194/acp-22-9215-2022
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Latest update: 01 Nov 2024
Short summary
This research was conducted to quantify the impact of different prior global biosphere models on the estimate of terrestrial CO2 fluxes when assimilating Orbiting Carbon Observatory-2 (OCO-2) satellite observations. To determine the prior model impact, we apply observing system simulation experiments (OSSEs). Even with the substantial spatiotemporal coverage of OCO-2 data, residual differences in posterior CO2 flux estimates remain due to the choice of prior flux mean and uncertainties.
This research was conducted to quantify the impact of different prior global biosphere models on...
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