Articles | Volume 12, issue 16
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.
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
FastOpt, Lerchenstraße 28a, 22767 Hamburg, Germany
P. J. Rayner
School of Earth Sciences, University of Melbourne, Melbourne, Australia
M. Voßbeck
FastOpt, Lerchenstraße 28a, 22767 Hamburg, Germany
M. Scholze
Dept. of Earth Sciences, University of Bristol, Bristol, UK
E. Koffi
LSCE/IPSL, Gif-sur-Yvette Cedex, France
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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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