Review article 18 Dec 2014
Review article | 18 Dec 2014
ObsPack: a framework for the preparation, delivery, and attribution of atmospheric greenhouse gas measurements
K. A. Masarie et al.
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Cited
33 citations as recorded by crossref.
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- On the causes of trends in the seasonal amplitude of atmospheric CO 2 S. Piao et al. 10.1111/gcb.13909
- Effect of Data Assimilation Parameters on The Optimized Surface CO2 Flux in Asia H. Kim et al. 10.1007/s13143-017-0049-9
- Optimization of Terrestrial Ecosystem Model Parameters Using Atmospheric CO2 Concentration Data With the Global Carbon Assimilation System (GCAS) Z. Chen et al. 10.1002/2016JG003716
- A decadal inversion of CO2 using the Global Eulerian–Lagrangian Coupled Atmospheric model (GELCA): sensitivity to the ground-based observation network T. Shirai et al. 10.1080/16000889.2017.1291158
- Application of NASA-Unified WRF model to carbon dioxide simulation- model development and evaluation Z. Tao et al. 10.1016/j.envsoft.2020.104785
- A biogenic CO<sub>2</sub> flux adjustment scheme for the mitigation of large-scale biases in global atmospheric CO<sub>2</sub> analyses and forecasts A. Agustí-Panareda et al. 10.5194/acp-16-10399-2016
- Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO<sub>2</sub> surface flux inversions A. Babenhauserheide et al. 10.5194/acpd-15-8883-2015
- Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. 10.1016/j.rse.2016.12.027
- A Comparison of the Atmospheric CO2Concentrations Obtained by an Inverse Modeling System and Passenger Aircraft Based Measurement H. Kim et al. 10.14191/Atmos.2016.26.3.387
- Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO<sub>2</sub> surface flux inversions A. Babenhauserheide et al. 10.5194/acp-15-9747-2015
- The CarbonTracker Data Assimilation System for CO<sub>2</sub> and <i>δ</i><sup>13</sup>C (CTDAS-C13 v1.0): retrieving information on land–atmosphere exchange processes I. van der Velde et al. 10.5194/gmd-11-283-2018
- Five decades of northern land carbon uptake revealed by the interhemispheric CO2 gradient P. Ciais et al. 10.1038/s41586-019-1078-6
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- Greenhouse gas simulations with a coupled meteorological and transport model: the predictability of CO<sub>2</sub> S. Polavarapu et al. 10.5194/acp-16-12005-2016
- Improved Constraints on Northern Extratropical CO 2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO 2 Measurements B. Byrne et al. 10.1029/2019JD032029
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- Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
- A global carbon assimilation system using a modified ensemble Kalman filter S. Zhang et al. 10.5194/gmd-8-805-2015
- Sensitivity of CO2surface flux constraints to observational coverage B. Byrne et al. 10.1002/2016JD026164
- Empirical methods for the estimation of Southern Ocean CO<sub>2</sub>: support vector and random forest regression L. Gregor et al. 10.5194/bg-14-5551-2017
- Accurate mobile remote sensing of XCO<sub>2</sub> and XCH<sub>4</sub> latitudinal transects from aboard a research vessel F. Klappenbach et al. 10.5194/amt-8-5023-2015
- Impact of Siberian observations on the optimization of surface CO<sub>2</sub> flux J. Kim et al. 10.5194/acp-17-2881-2017
- A comparative assessment of the uncertainties of global surface ocean CO<sub>2</sub> estimates using a machine-learning ensemble (CSIR-ML6 version 2019a) – have we hit the wall? L. Gregor et al. 10.5194/gmd-12-5113-2019
- Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States Q. Zhang et al. 10.1016/j.atmosenv.2020.118106
- Accurate mobile remote sensing of XCO<sub>2</sub> and XCH<sub>4</sub> latitudinal transects from aboard a research vessel F. Klappenbach et al. 10.5194/amtd-8-7413-2015
- Contrasting carbon cycle responses of the tropical continents to the 2015–2016 El Niño J. Liu et al. 10.1126/science.aam5690
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- The Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA) G. Pfister et al. 10.1175/BAMS-D-19-0331.1
- Forests dominate the interannual variability of the North American carbon sink Y. Shiga et al. 10.1088/1748-9326/aad505
32 citations as recorded by crossref.
- Decelerating Autumn CO 2 Release With Warming Induced by Attenuated Temperature Dependence of Respiration in Northern Ecosystems D. Liu et al. 10.1029/2018GL077447
- Seasonal Characteristics of Model Uncertainties From Biogenic Fluxes, Transport, and Large‐Scale Boundary Inflow in Atmospheric CO 2 Simulations Over North America S. Feng et al. 10.1029/2019JD031165
- On the causes of trends in the seasonal amplitude of atmospheric CO 2 S. Piao et al. 10.1111/gcb.13909
- Effect of Data Assimilation Parameters on The Optimized Surface CO2 Flux in Asia H. Kim et al. 10.1007/s13143-017-0049-9
- Optimization of Terrestrial Ecosystem Model Parameters Using Atmospheric CO2 Concentration Data With the Global Carbon Assimilation System (GCAS) Z. Chen et al. 10.1002/2016JG003716
- A decadal inversion of CO2 using the Global Eulerian–Lagrangian Coupled Atmospheric model (GELCA): sensitivity to the ground-based observation network T. Shirai et al. 10.1080/16000889.2017.1291158
- Application of NASA-Unified WRF model to carbon dioxide simulation- model development and evaluation Z. Tao et al. 10.1016/j.envsoft.2020.104785
- A biogenic CO<sub>2</sub> flux adjustment scheme for the mitigation of large-scale biases in global atmospheric CO<sub>2</sub> analyses and forecasts A. Agustí-Panareda et al. 10.5194/acp-16-10399-2016
- Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO<sub>2</sub> surface flux inversions A. Babenhauserheide et al. 10.5194/acpd-15-8883-2015
- Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set M. Buchwitz et al. 10.1016/j.rse.2016.12.027
- A Comparison of the Atmospheric CO2Concentrations Obtained by an Inverse Modeling System and Passenger Aircraft Based Measurement H. Kim et al. 10.14191/Atmos.2016.26.3.387
- Comparing the CarbonTracker and TM5-4DVar data assimilation systems for CO<sub>2</sub> surface flux inversions A. Babenhauserheide et al. 10.5194/acp-15-9747-2015
- The CarbonTracker Data Assimilation System for CO<sub>2</sub> and <i>δ</i><sup>13</sup>C (CTDAS-C13 v1.0): retrieving information on land–atmosphere exchange processes I. van der Velde et al. 10.5194/gmd-11-283-2018
- Five decades of northern land carbon uptake revealed by the interhemispheric CO2 gradient P. Ciais et al. 10.1038/s41586-019-1078-6
- CTDAS-Lagrange v1.0: a high-resolution data assimilation system for regional carbon dioxide observations W. He et al. 10.5194/gmd-11-3515-2018
- Greenhouse gas simulations with a coupled meteorological and transport model: the predictability of CO<sub>2</sub> S. Polavarapu et al. 10.5194/acp-16-12005-2016
- Improved Constraints on Northern Extratropical CO 2 Fluxes Obtained by Combining Surface‐Based and Space‐Based Atmospheric CO 2 Measurements B. Byrne et al. 10.1029/2019JD032029
- The Canadian atmospheric transport model for simulating greenhouse gas evolution on regional scales: GEM–MACH–GHG v.137-reg J. Kim et al. 10.5194/gmd-13-269-2020
- Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
- A global carbon assimilation system using a modified ensemble Kalman filter S. Zhang et al. 10.5194/gmd-8-805-2015
- Sensitivity of CO2surface flux constraints to observational coverage B. Byrne et al. 10.1002/2016JD026164
- Empirical methods for the estimation of Southern Ocean CO<sub>2</sub>: support vector and random forest regression L. Gregor et al. 10.5194/bg-14-5551-2017
- Accurate mobile remote sensing of XCO<sub>2</sub> and XCH<sub>4</sub> latitudinal transects from aboard a research vessel F. Klappenbach et al. 10.5194/amt-8-5023-2015
- Impact of Siberian observations on the optimization of surface CO<sub>2</sub> flux J. Kim et al. 10.5194/acp-17-2881-2017
- A comparative assessment of the uncertainties of global surface ocean CO<sub>2</sub> estimates using a machine-learning ensemble (CSIR-ML6 version 2019a) – have we hit the wall? L. Gregor et al. 10.5194/gmd-12-5113-2019
- Assimilation of OCO-2 retrievals with WRF-Chem/DART: A case study for the Midwestern United States Q. Zhang et al. 10.1016/j.atmosenv.2020.118106
- Accurate mobile remote sensing of XCO<sub>2</sub> and XCH<sub>4</sub> latitudinal transects from aboard a research vessel F. Klappenbach et al. 10.5194/amtd-8-7413-2015
- Contrasting carbon cycle responses of the tropical continents to the 2015–2016 El Niño J. Liu et al. 10.1126/science.aam5690
- A comparison of posterior atmospheric CO<sub>2</sub> adjustments obtained from in situ and GOSAT constrained flux inversions S. Polavarapu et al. 10.5194/acp-18-12011-2018
- The regional European atmospheric transport inversion comparison, EUROCOM: first results on European-wide terrestrial carbon fluxes for the period 2006–2015 G. Monteil et al. 10.5194/acp-20-12063-2020
- The 2015–2016 carbon cycle as seen from OCO-2 and the global in situ network S. Crowell et al. 10.5194/acp-19-9797-2019
- The Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA) G. Pfister et al. 10.1175/BAMS-D-19-0331.1
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 26 Jan 2021
Short summary
Observation Package (ObsPack) is a framework designed to bring together atmospheric greenhouse gas measurements from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. The framework includes a unique distribution stategy designed to improve communication between product users and data providers. The concepts presented are general and may be easily applied to other scientific data.
Observation Package (ObsPack) is a framework designed to bring together atmospheric greenhouse...