Articles | Volume 14, issue 9
Biogeosciences, 14, 2343–2357, 2017
https://doi.org/10.5194/bg-14-2343-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue: Data assimilation in carbon/biogeochemical cycles: consistent...
Biogeosciences, 14, 2343–2357, 2017
https://doi.org/10.5194/bg-14-2343-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Reviews and syntheses 08 May 2017
Reviews and syntheses | 08 May 2017
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
Thomas Kaminski and Pierre-Philippe Mathieu
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Cited
16 citations as recorded by crossref.
- Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion X. Ren et al. 10.1016/j.ecolmodel.2018.03.013
- Integration of satellite remote sensing data in ecosystem modelling at local scales: Practices and trends D. Pasetto et al. 10.1111/2041-210X.13018
- Consistent retrieval of land surface radiation products from EO, including traceable uncertainty estimates T. Kaminski et al. 10.5194/bg-14-2527-2017
- Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. 10.5194/bg-14-3401-2017
- Assimilation of atmospheric CO2 observations from space can support national CO2 emission inventories T. Kaminski et al. 10.1088/1748-9326/ac3cea
- 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
- Spatio-Temporal Consistency Evaluation of XCO2 Retrievals from GOSAT and OCO-2 Based on TCCON and Model Data for Joint Utilization in Carbon Cycle Research Y. Kong et al. 10.3390/atmos10070354
- Mean European Carbon Sink Over 2010–2015 Estimated by Simultaneous Assimilation of Atmospheric CO 2 , Soil Moisture, and Vegetation Optical Depth M. Scholze et al. 10.1029/2019GL085725
- Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records T. Lavergne et al. 10.5194/tc-13-49-2019
- 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
- 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
- Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season G. Smith et al. 10.3389/fmars.2019.00429
- 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
- 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
- Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0 G. Schürmann et al. 10.5194/gmd-9-2999-2016
15 citations as recorded by crossref.
- Modeling and uncertainty analysis of carbon and water fluxes in a broad-leaved Korean pine mixed forest based on model-data fusion X. Ren et al. 10.1016/j.ecolmodel.2018.03.013
- Integration of satellite remote sensing data in ecosystem modelling at local scales: Practices and trends D. Pasetto et al. 10.1111/2041-210X.13018
- Consistent retrieval of land surface radiation products from EO, including traceable uncertainty estimates T. Kaminski et al. 10.5194/bg-14-2527-2017
- Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems M. Scholze et al. 10.5194/bg-14-3401-2017
- Assimilation of atmospheric CO2 observations from space can support national CO2 emission inventories T. Kaminski et al. 10.1088/1748-9326/ac3cea
- 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
- Spatio-Temporal Consistency Evaluation of XCO2 Retrievals from GOSAT and OCO-2 Based on TCCON and Model Data for Joint Utilization in Carbon Cycle Research Y. Kong et al. 10.3390/atmos10070354
- Mean European Carbon Sink Over 2010–2015 Estimated by Simultaneous Assimilation of Atmospheric CO 2 , Soil Moisture, and Vegetation Optical Depth M. Scholze et al. 10.1029/2019GL085725
- Version 2 of the EUMETSAT OSI SAF and ESA CCI sea-ice concentration climate data records T. Lavergne et al. 10.5194/tc-13-49-2019
- 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
- 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
- Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season G. Smith et al. 10.3389/fmars.2019.00429
- 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
- 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
Latest update: 24 Jan 2022
Short summary
This paper provides the formalism and examples of how observation operators can be used, in combination with data assimilation or retrieval techniques, to better ingest satellite products in a manner consistent with the dynamics of the Earth system expressed by models.
This paper provides the formalism and examples of how observation operators can be used, in...
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