Articles | Volume 12, issue 16
Atmos. Chem. Phys., 12, 7867–7879, 2012
https://doi.org/10.5194/acp-12-7867-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 12, 7867–7879, 2012
https://doi.org/10.5194/acp-12-7867-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
31 Aug 2012
Research article
| 31 Aug 2012
Observing the continental-scale carbon balance: assessment of sampling complementarity and redundancy in a terrestrial assimilation system by means of quantitative network design
T. Kaminski et al.
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Cited
21 citations as recorded by crossref.
- Surface-Parallel Sensor Orientation for Assessing Energy Balance Components on Mountain Slopes P. Serrano-Ortiz et al. 10.1007/s10546-015-0099-4
- Calibration and validation of a semi-empirical flux ecosystem model for coniferous forests in the Boreal region F. Minunno et al. 10.1016/j.ecolmodel.2016.09.020
- The BETHY/JSBACH Carbon Cycle Data Assimilation System: experiences and challenges T. Kaminski et al. 10.1002/jgrg.20118
- The benefits of investing into improved carbon flux monitoring J. Szolgayová et al. 10.1080/23322039.2016.1239672
- Reviews and syntheses: guiding the evolution of the observing system for the carbon cycle through quantitative network design T. Kaminski & P. Rayner 10.5194/bg-14-4755-2017
- Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance T. Kaminski et al. 10.5194/tc-12-2569-2018
- 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
- Novel approach to observing system simulation experiments improves information gain of surface–atmosphere field measurements S. Metzger et al. 10.5194/amt-14-6929-2021
- Validation practices for satellite-based Earth observation data across communities A. Loew et al. 10.1002/2017RG000562
- Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide T. Kaminski et al. 10.1016/j.rse.2017.08.017
- Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies T. Kaminski et al. 10.5194/tc-9-1721-2015
- Spatially explicit regionalization of airborne flux measurements using environmental response functions S. Metzger et al. 10.5194/bg-10-2193-2013
- Reviews and syntheses: Flying the satellite into your model: on the role of observation operators in constraining models of the Earth system and the carbon cycle T. Kaminski & P. Mathieu 10.5194/bg-14-2343-2017
- Estimation of FAPAR over Croplands Using MISR Data and the Earth Observation Land Data Assimilation System (EO-LDAS) M. Chernetskiy et al. 10.3390/rs9070656
- Limiting the parameter space in the Carbon Cycle Data Assimilation System (CCDAS) S. Kemp et al. 10.5194/gmd-7-1609-2014
- Quantifying the constraint of biospheric process parameters by CO<sub>2</sub> concentration and flux measurement networks through a carbon cycle data assimilation system E. Koffi et al. 10.5194/acp-13-10555-2013
- Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system P. Ciais et al. 10.5194/bg-11-3547-2014
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
- Design of a high-coverage ground-based CO2 monitoring layout using a novel information theory-based optimization model P. Bakhtiari et al. 10.1007/s10661-021-08933-2
- Technical Note: Atmospheric CO<sub>2</sub> inversions on the mesoscale using data-driven prior uncertainties: methodology and system evaluation P. Kountouris et al. 10.5194/acp-18-3027-2018
- Consistent assimilation of MERIS FAPAR and atmospheric CO<sub>2</sub> into a terrestrial vegetation model and interactive mission benefit analysis T. Kaminski et al. 10.5194/bg-9-3173-2012
20 citations as recorded by crossref.
- Surface-Parallel Sensor Orientation for Assessing Energy Balance Components on Mountain Slopes P. Serrano-Ortiz et al. 10.1007/s10546-015-0099-4
- Calibration and validation of a semi-empirical flux ecosystem model for coniferous forests in the Boreal region F. Minunno et al. 10.1016/j.ecolmodel.2016.09.020
- The BETHY/JSBACH Carbon Cycle Data Assimilation System: experiences and challenges T. Kaminski et al. 10.1002/jgrg.20118
- The benefits of investing into improved carbon flux monitoring J. Szolgayová et al. 10.1080/23322039.2016.1239672
- Reviews and syntheses: guiding the evolution of the observing system for the carbon cycle through quantitative network design T. Kaminski & P. Rayner 10.5194/bg-14-4755-2017
- Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance T. Kaminski et al. 10.5194/tc-12-2569-2018
- 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
- Novel approach to observing system simulation experiments improves information gain of surface–atmosphere field measurements S. Metzger et al. 10.5194/amt-14-6929-2021
- Validation practices for satellite-based Earth observation data across communities A. Loew et al. 10.1002/2017RG000562
- Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide T. Kaminski et al. 10.1016/j.rse.2017.08.017
- Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies T. Kaminski et al. 10.5194/tc-9-1721-2015
- Spatially explicit regionalization of airborne flux measurements using environmental response functions S. Metzger et al. 10.5194/bg-10-2193-2013
- Reviews and syntheses: Flying the satellite into your model: on the role of observation operators in constraining models of the Earth system and the carbon cycle T. Kaminski & P. Mathieu 10.5194/bg-14-2343-2017
- Estimation of FAPAR over Croplands Using MISR Data and the Earth Observation Land Data Assimilation System (EO-LDAS) M. Chernetskiy et al. 10.3390/rs9070656
- Limiting the parameter space in the Carbon Cycle Data Assimilation System (CCDAS) S. Kemp et al. 10.5194/gmd-7-1609-2014
- Quantifying the constraint of biospheric process parameters by CO<sub>2</sub> concentration and flux measurement networks through a carbon cycle data assimilation system E. Koffi et al. 10.5194/acp-13-10555-2013
- Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system P. Ciais et al. 10.5194/bg-11-3547-2014
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
- Design of a high-coverage ground-based CO2 monitoring layout using a novel information theory-based optimization model P. Bakhtiari et al. 10.1007/s10661-021-08933-2
- Technical Note: Atmospheric CO<sub>2</sub> inversions on the mesoscale using data-driven prior uncertainties: methodology and system evaluation P. Kountouris et al. 10.5194/acp-18-3027-2018
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