Articles | Volume 9, issue 8
https://doi.org/10.5194/bg-9-3173-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/bg-9-3173-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Aug 2012
Research article |
| 16 Aug 2012
Consistent assimilation of MERIS FAPAR and atmospheric CO2 into a terrestrial vegetation model and interactive mission benefit analysis
T. Kaminski
FastOpt, Lerchenstraße 28a, 22767 Hamburg, Germany
W. Knorr
Dept. of Earth Sciences, University of Bristol, Bristol, BS8 1RJ, UK
Dept. of Meteorology and Climatology, Aristotle University of Thessaloniki, Greece
Dept. of Earth and Ecosystem Sciences, Sölvegatan 12, 223 62 Lund, Sweden
M. Scholze
Dept. of Earth Sciences, University of Bristol, Bristol, BS8 1RJ, UK
University of Hamburg, Grindelberg 5, 20144 Hamburg, Germany
N. Gobron
European Commission, DG Joint Research Centre, Inst. for Environment and Sustainability, Global Environment Monitoring Unit, TP 272, via E. Fermi, 21020 Ispra (VA), Italy
B. Pinty
European Commission, DG Joint Research Centre, Inst. for Environment and Sustainability, Global Environment Monitoring Unit, TP 272, via E. Fermi, 21020 Ispra (VA), Italy
R. Giering
FastOpt, Lerchenstraße 28a, 22767 Hamburg, Germany
P.-P. Mathieu
European Space Agency, Earth Observation Science & Applications, Via Galileo Galilei, Casella Postale 64, 00044 Frascati (Rm), Italy
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60 citations as recorded by crossref.
- Joint CO2 Mole Fraction and Flux Analysis Confirms Missing Processes in CASA Terrestrial Carbon Uptake Over North America S. Feng et al. 10.1029/2020GB006914
- Three decades of simulated global terrestrial carbon fluxes from a data assimilation system confronted with different periods of observations K. Castro-Morales et al. 10.5194/bg-16-3009-2019
- Testing variational estimation of process parameters and initial conditions of an earth system model S. Blessing et al. 10.3402/tellusa.v66.22606
- Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide T. Kaminski et al. 10.1016/j.rse.2017.08.017
- Global parameters sensitivity analysis of modeling water, energy and carbon exchange of an arid agricultural ecosystem M. Wu et al. 10.1016/j.agrformet.2019.03.007
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- Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations M. Forkel et al. 10.1038/s41598-019-55187-7
- A simple method to simulate diurnal courses of PAR absorbed by grassy canopy R. Cao et al. 10.1016/j.ecolind.2014.06.017
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- A New Global fAPAR and LAI Dataset Derived from Optimal Albedo Estimates: Comparison with MODIS Products M. Disney et al. 10.3390/rs8040275
- Soil Moisture Assimilation Improves Terrestrial Biosphere Model GPP Responses to Sub-Annual Drought at Continental Scale X. Xing et al. 10.3390/rs15030676
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- Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model A. Norton et al. 10.5194/bg-16-3069-2019
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- A Framework to Assess the Potential Uncertainties of Three FPAR Products X. Chen et al. 10.1029/2021JG006320
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- The potential benefit of using forest biomass data in addition to carbon and water flux measurements to constrain ecosystem model parameters: Case studies at two temperate forest sites T. Thum et al. 10.1016/j.agrformet.2016.12.004
4 citations as recorded by crossref.
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- 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/acpd-12-24131-2012
- Quantifying the model structural error in carbon cycle data assimilation systems S. Kuppel et al. 10.5194/gmdd-5-2259-2012
- 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. 10.5194/acpd-12-7211-2012
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