Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
doi:10.5194/bg-2016-557
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Reviews and syntheses
12 Jan 2017
Review status
This discussion paper is under review for the journal Biogeosciences (BG).
Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems
Marko Scholze1, Michael Buchwitz2, Wouter Dorigo3, Luis Guanter4, and Shaun Quegan5 1Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
2Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
3Department of Geodesy and Geoinformation, Vienna University of Technology (TU Wien), Vienna, Austria
4Remote Sensing Section, German Research Center for Geosciences (GFZ), 14473 Potsdam, Germany
5Centre for Terrestrial Carbon Dynamics, The University of Sheffield, Sheffield S3 7RH, UK
Abstract. The global carbon cycle is an important component of the Earth system and it interacts with the hydrological, energy and nutrient cycles as well as ecosystem dynamics. A better understanding of the global carbon cycle is required for improved projections of climate change including corresponding changes in water and food resources and for the verification 5 of measures to reduce anthropogenic greenhouse gas emissions. An improved understanding of the carbon cycle can be achieved by model-data fusion or data assimilation systems, which integrate observations relevant to the carbon cycle into coupled carbon, water, energy and nutrient models. Hence, the ingredients for such systems are a carbon cycle model, an algorithm for the assimilation, and systematic and 10 well error-characterized observations relevant to the carbon cycle. Relevant observations for assimilation include various in-situ measurements in the atmosphere (e.g. concentrations of CO2 and other gases) and on land (e.g. fluxes of carbon water and energy, carbon stocks) as well as remote sensing observations (e.g. atmospheric composition, vegetation and surface properties).

We briefly review the different existing data assimilation techniques and contrast them to model 15 benchmarking and evaluation efforts (which also rely on observations). A common requirement for all assimilation techniques is a full description of the observational data properties. Uncertainty estimates of the observations are as important as the observations themselves because they similarly determine the outcome of such assimilation systems. Hence, this article reviews the requirements of data assimilation systems on observations and provides a non-exhaustive overview of current 20 observations and their uncertainties for use in terrestrial carbon cycle data assimilation. We report on progress since the review of model-data synthesis in terrestrial carbon observations by Raupach et al. (2005) emphasising the rapid advance in relevant space-based observations.


Citation: Scholze, M., Buchwitz, M., Dorigo, W., Guanter, L., and Quegan, S.: Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems, Biogeosciences Discuss., doi:10.5194/bg-2016-557, in review, 2017.
Marko Scholze et al.
Marko Scholze et al.
Marko Scholze et al.

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This paper briefly reviews data assimilation techniques in carbon cycle data assimilation and the requirements of data assimilation systems on observations. We provide a non-exhaustive overview of current observations and their uncertainties for use in terrestrial carbon cycle data assimilation focussing on relevant space-based observations.
This paper briefly reviews data assimilation techniques in carbon cycle data assimilation and...
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