Articles | Volume 13, issue 14
https://doi.org/10.5194/bg-13-4271-2016
© Author(s) 2016. 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-13-4271-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Technical note: 3-hourly temporal downscaling of monthly global terrestrial biosphere model net ecosystem exchange
Jet Propulsion Laboratory, California Institute of Technology, 4800
Oak Grove Drive, Pasadena, CA 91109, USA
Munish Sikka
Jet Propulsion Laboratory, California Institute of Technology, 4800
Oak Grove Drive, Pasadena, CA 91109, USA
Deborah N. Huntzinger
School of Earth Sciences and Environmental Sustainability, Northern
Arizona University, 527 S. Beaver St., Flagstaff, AZ 86011-5694, USA
Christopher Schwalm
Woods Hole Research Center, Falmouth, MA 02540, USA
Junjie Liu
Jet Propulsion Laboratory, California Institute of Technology, 4800
Oak Grove Drive, Pasadena, CA 91109, USA
Viewed
Total article views: 2,730 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Mar 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,475 | 921 | 334 | 2,730 | 113 | 132 |
- HTML: 1,475
- PDF: 921
- XML: 334
- Total: 2,730
- BibTeX: 113
- EndNote: 132
Total article views: 2,252 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Jul 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,202 | 718 | 332 | 2,252 | 110 | 129 |
- HTML: 1,202
- PDF: 718
- XML: 332
- Total: 2,252
- BibTeX: 110
- EndNote: 129
Total article views: 478 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Mar 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
273 | 203 | 2 | 478 | 3 | 3 |
- HTML: 273
- PDF: 203
- XML: 2
- Total: 478
- BibTeX: 3
- EndNote: 3
Cited
12 citations as recorded by crossref.
- A Road Map for Improving the Treatment of Uncertainties in High‐Resolution Regional Carbon Flux Inverse Estimates S. Feng et al. 10.1029/2019GL082987
- Seasonal Characteristics of Model Uncertainties From Biogenic Fluxes, Transport, and Large‐Scale Boundary Inflow in Atmospheric CO2 Simulations Over North America S. Feng et al. 10.1029/2019JD031165
- OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia S. Philip et al. 10.1029/2021JD035035
- Impact of Prior Terrestrial Carbon Fluxes on Simulations of Atmospheric CO2 Concentrations Y. Fu et al. 10.1029/2021JD034794
- Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. 10.1029/2019JD030528
- A Modified Vegetation Photosynthesis and Respiration Model (VPRM) for the Eastern USA and Canada, Evaluated With Comparison to Atmospheric Observations and Other Biospheric Models S. Gourdji et al. 10.1029/2021JG006290
- The Terrestrial Biosphere Model Farm J. Fisher et al. 10.1029/2021MS002676
- A Multiyear Gridded Data Ensemble of Surface Biogenic Carbon Fluxes for North America: Evaluation and Analysis of Results Y. Zhou et al. 10.1029/2019JG005314
- 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
- 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
- Prior biosphere model impact on global terrestrial CO<sub>2</sub> fluxes estimated from OCO-2 retrievals S. Philip et al. 10.5194/acp-19-13267-2019
- 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
12 citations as recorded by crossref.
- A Road Map for Improving the Treatment of Uncertainties in High‐Resolution Regional Carbon Flux Inverse Estimates S. Feng et al. 10.1029/2019GL082987
- Seasonal Characteristics of Model Uncertainties From Biogenic Fluxes, Transport, and Large‐Scale Boundary Inflow in Atmospheric CO2 Simulations Over North America S. Feng et al. 10.1029/2019JD031165
- OCO‐2 Satellite‐Imposed Constraints on Terrestrial Biospheric CO2 Fluxes Over South Asia S. Philip et al. 10.1029/2021JD035035
- Impact of Prior Terrestrial Carbon Fluxes on Simulations of Atmospheric CO2 Concentrations Y. Fu et al. 10.1029/2021JD034794
- Constraining Fossil Fuel CO2 Emissions From Urban Area Using OCO‐2 Observations of Total Column CO2 X. Ye et al. 10.1029/2019JD030528
- A Modified Vegetation Photosynthesis and Respiration Model (VPRM) for the Eastern USA and Canada, Evaluated With Comparison to Atmospheric Observations and Other Biospheric Models S. Gourdji et al. 10.1029/2021JG006290
- The Terrestrial Biosphere Model Farm J. Fisher et al. 10.1029/2021MS002676
- A Multiyear Gridded Data Ensemble of Surface Biogenic Carbon Fluxes for North America: Evaluation and Analysis of Results Y. Zhou et al. 10.1029/2019JG005314
- 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
- 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
- Prior biosphere model impact on global terrestrial CO<sub>2</sub> fluxes estimated from OCO-2 retrievals S. Philip et al. 10.5194/acp-19-13267-2019
- 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
Latest update: 14 Dec 2024
Short summary
Atmospheric models of CO2 require estimates of land CO2 fluxes at relatively high temporal resolutions because of the high rate of atmospheric mixing and wind heterogeneity. However, land CO2 fluxes are often provided at monthly time steps. Here, we describe a new dataset created from 15 global land models and 4 combined products in the Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP), which we have converted from monthly to 3-hourly output.
Atmospheric models of CO2 require estimates of land CO2 fluxes at relatively high temporal...
Altmetrics
Final-revised paper
Preprint