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.
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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4 citations as recorded by crossref.
- Simultaneous assimilation of satellite and eddy covariance data for improving terrestrial water and carbon simulations at a semi-arid woodland site in Botswana T. Kato et al. 10.5194/bgd-9-3615-2012
- 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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