Articles | Volume 17, issue 9
https://doi.org/10.5194/acp-17-5561-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-5561-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 May 2017
Research article |
| 03 May 2017
How can mountaintop CO2 observations be used to constrain regional carbon fluxes?
Department of Atmospheric Sciences, University of Utah, Salt Lake
City, Utah 84112, USA
Derek V. Mallia
Department of Atmospheric Sciences, University of Utah, Salt Lake
City, Utah 84112, USA
Department of Atmospheric Sciences, University of Utah, Salt Lake
City, Utah 84112, USA
Britton B. Stephens
Earth Observing Laboratory, National Center for Atmospheric Research,
Boulder, Colorado 80301, USA
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Cited
19 citations as recorded by crossref.
- Modelling CO<sub>2</sub> weather – why horizontal resolution matters A. Agustí-Panareda et al. 10.5194/acp-19-7347-2019
- Enhanced North American carbon uptake associated with El Niño L. Hu et al. 10.1126/sciadv.aaw0076
- Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model–data fusion framework S. Stettz et al. 10.5194/bg-19-541-2022
- Wintertime Nitrous Oxide Emissions in the San Joaquin Valley of California Estimated from Aircraft Observations S. Herrera et al. 10.1021/acs.est.0c08418
- An Interpolation Method to Reduce the Computational Time in the Stochastic Lagrangian Particle Dispersion Modeling of Spatially Dense XCO 2 Retrievals D. Roten et al. 10.1029/2020EA001343
- Sustained Nonphotochemical Quenching Shapes the Seasonal Pattern of Solar‐Induced Fluorescence at a High‐Elevation Evergreen Forest B. Raczka et al. 10.1029/2018JG004883
- Midwest US Croplands Determine Model Divergence in North American Carbon Fluxes W. Sun et al. 10.1029/2020AV000310
- Wind-Blown Dust Modeling Using a Backward-Lagrangian Particle Dispersion Model D. Mallia et al. 10.1175/JAMC-D-16-0351.1
- A study of the combined impact of boundary layer height and near-surface meteorology on the CO diurnal cycle at a low mountaintop site using simultaneous lidar and in-situ observations S. Pal et al. 10.1016/j.atmosenv.2017.05.041
- Optimizing Smoke and Plume Rise Modeling Approaches at Local Scales D. Mallia et al. 10.3390/atmos9050166
- A Lagrangian approach towards extracting signals of urban CO<sub>2</sub> emissions from satellite observations of atmospheric column CO<sub>2</sub> (XCO<sub>2</sub>): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) D. Wu et al. 10.5194/gmd-11-4843-2018
- Atmospheric CO 2 Observations Reveal Strong Correlation Between Regional Net Biospheric Carbon Uptake and Solar‐Induced Chlorophyll Fluorescence Y. Shiga et al. 10.1002/2017GL076630
- The Impact of the Afternoon Planetary Boundary-Layer Height on the Diurnal Cycle of CO and $$\hbox {CO}_{2}$$ Mixing Ratios at a Low-Altitude Mountaintop T. Lee et al. 10.1007/s10546-018-0343-9
- Detecting Urban Emissions Changes and Events With a Near‐Real‐Time‐Capable Inversion System J. Ware et al. 10.1029/2018JD029224
- Observations of Thermally Driven Circulations in the Pyrenees: Comparison of Detection Methods and Impact on Atmospheric Composition Measured at a Mountaintop M. Hulin et al. 10.1175/JAMC-D-17-0268.1
- Improving CLM5.0 Biomass and Carbon Exchange Across the Western United States Using a Data Assimilation System B. Raczka et al. 10.1029/2020MS002421
- The effects of horizontal grid spacing on simulated daytime boundary layer depths in an area of complex terrain in Utah G. Duine & S. De Wekker 10.1007/s10652-017-9547-7
- CH4 uptake along a successional gradient in temperate alpine soils C. Brachmann et al. 10.1007/s10533-019-00630-0
- How can biosphere models simulate enough vegetation biomass in the mountains of the western United States? Implications of meteorological forcing H. Duarte et al. 10.1016/j.envsoft.2021.105288
19 citations as recorded by crossref.
- Modelling CO<sub>2</sub> weather – why horizontal resolution matters A. Agustí-Panareda et al. 10.5194/acp-19-7347-2019
- Enhanced North American carbon uptake associated with El Niño L. Hu et al. 10.1126/sciadv.aaw0076
- Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model–data fusion framework S. Stettz et al. 10.5194/bg-19-541-2022
- Wintertime Nitrous Oxide Emissions in the San Joaquin Valley of California Estimated from Aircraft Observations S. Herrera et al. 10.1021/acs.est.0c08418
- An Interpolation Method to Reduce the Computational Time in the Stochastic Lagrangian Particle Dispersion Modeling of Spatially Dense XCO 2 Retrievals D. Roten et al. 10.1029/2020EA001343
- Sustained Nonphotochemical Quenching Shapes the Seasonal Pattern of Solar‐Induced Fluorescence at a High‐Elevation Evergreen Forest B. Raczka et al. 10.1029/2018JG004883
- Midwest US Croplands Determine Model Divergence in North American Carbon Fluxes W. Sun et al. 10.1029/2020AV000310
- Wind-Blown Dust Modeling Using a Backward-Lagrangian Particle Dispersion Model D. Mallia et al. 10.1175/JAMC-D-16-0351.1
- A study of the combined impact of boundary layer height and near-surface meteorology on the CO diurnal cycle at a low mountaintop site using simultaneous lidar and in-situ observations S. Pal et al. 10.1016/j.atmosenv.2017.05.041
- Optimizing Smoke and Plume Rise Modeling Approaches at Local Scales D. Mallia et al. 10.3390/atmos9050166
- A Lagrangian approach towards extracting signals of urban CO<sub>2</sub> emissions from satellite observations of atmospheric column CO<sub>2</sub> (XCO<sub>2</sub>): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”) D. Wu et al. 10.5194/gmd-11-4843-2018
- Atmospheric CO 2 Observations Reveal Strong Correlation Between Regional Net Biospheric Carbon Uptake and Solar‐Induced Chlorophyll Fluorescence Y. Shiga et al. 10.1002/2017GL076630
- The Impact of the Afternoon Planetary Boundary-Layer Height on the Diurnal Cycle of CO and $$\hbox {CO}_{2}$$ Mixing Ratios at a Low-Altitude Mountaintop T. Lee et al. 10.1007/s10546-018-0343-9
- Detecting Urban Emissions Changes and Events With a Near‐Real‐Time‐Capable Inversion System J. Ware et al. 10.1029/2018JD029224
- Observations of Thermally Driven Circulations in the Pyrenees: Comparison of Detection Methods and Impact on Atmospheric Composition Measured at a Mountaintop M. Hulin et al. 10.1175/JAMC-D-17-0268.1
- Improving CLM5.0 Biomass and Carbon Exchange Across the Western United States Using a Data Assimilation System B. Raczka et al. 10.1029/2020MS002421
- The effects of horizontal grid spacing on simulated daytime boundary layer depths in an area of complex terrain in Utah G. Duine & S. De Wekker 10.1007/s10652-017-9547-7
- CH4 uptake along a successional gradient in temperate alpine soils C. Brachmann et al. 10.1007/s10533-019-00630-0
- How can biosphere models simulate enough vegetation biomass in the mountains of the western United States? Implications of meteorological forcing H. Duarte et al. 10.1016/j.envsoft.2021.105288
Latest update: 27 Mar 2023
Short summary
Mountainous areas can potentially serve as regions where the key greenhouse gas, carbon dioxide (CO2), can be absorbed from the atmosphere by vegetation, through photosynthesis. Variations in atmospheric CO2 can be used to understand the amount of biospheric fluxes in general. However, CO2 measured in mountains can be difficult to interpret due to the impact from complex atmospheric flows. We show how mountaintop CO2 data can be interpreted by carrying out a series of atmospheric simulations.
Mountainous areas can potentially serve as regions where the key greenhouse gas, carbon dioxide...
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