Articles | Volume 14, issue 23
https://doi.org/10.5194/acp-14-13281-2014
© Author(s) 2014. 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-14-13281-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Dec 2014
Research article |
| 12 Dec 2014
A joint data assimilation system (Tan-Tracker) to simultaneously estimate surface CO2 fluxes and 3-D atmospheric CO2 concentrations from observations
X. Tian
CORRESPONDING AUTHOR
ICCES, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, 210044, China
LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
LAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Z. Cai
LAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Y. Fu
Climate Change Research Center (CCRC), Chinese Academy of Sciences, Beijing, China
H. Zhang
Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, China
L. Feng
School of GeoSciences, University of Edinburgh, King's Buildings, Edinburgh EH9 3JN, UK
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39 citations as recorded by crossref.
- Evaluating the Role of the EOF Analysis in 4DEnVar Methods X. Kou et al. 10.3390/atmos8080146
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Saved (final revised paper)
Latest update: 20 Apr 2024
Short summary
A new carbon cycle data assimilation system (Tan-Tracker) is developed based on an advanced hybrid assimilation approach, as a part of the preparation for the launch of the Chinese carbon dioxide observation satellite (TanSat). Tan-Tracker adopts a joint data assimilation framework to simultaneously estimate CO2 concentrations and CFs and thus gradually reduce the uncertainty in the CO2 concentration evolution through continuously fitting model CO2 concentration simulations to the observations.
A new carbon cycle data assimilation system (Tan-Tracker) is developed based on an advanced...
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