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Volume 14, issue 14
Biogeosciences, 14, 3401–3429, 2017
https://doi.org/10.5194/bg-14-3401-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Data assimilation in carbon/biogeochemical cycles: consistent...

Biogeosciences, 14, 3401–3429, 2017
https://doi.org/10.5194/bg-14-3401-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Reviews and syntheses 19 Jul 2017

Reviews and syntheses | 19 Jul 2017

Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems

Marko Scholze et al.

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Al-Yaari, A., Wigneron, J., Kerr, Y., de Jeu, R., Rodriguez-Fernandez, N., van der Schalie, R., Bitar, A. A., Mialon, A., Richaume, P., Dolman, A., and Ducharne, A.: Testing regression equations to derive long-term global soil moisture datasets from passive microwave observations, Remote Sens. Environ., 180, 453–464, https://doi.org/10.1016/j.rse.2015.11.022, 2016.
Albergel, C., de Rosnay, P., Gruhier, C., Muñoz Sabater, J., Hasenauer, S., Isaksen, L., Kerr, Y., and Wagner, W.: Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations, Remote Sens. Environ., 118, 215–226, https://doi.org/10.1016/j.rse.2011.11.017, 2012.
Albergel, C., Munier, S., Leroux, D. J., Dewaele, H., Fairbairn, D., Barbu, A. L., Gelati, E., Dorigo, W., Faroux, S., Meurey, C., Le Moigne, P., Decharme, B., Mahfouf, J.-F., and Calvet, J.-C.: Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-121, in review, 2017.
Alyaari, A., Wigneron, J. P., Ducharne, A., Kerr, Y., Wagner, W., De Lannoy, G., Reichle, R., Al Bitar, A., Dorigo, W., Richaume, P., and Mialon, A.: Global-scale comparison of passive (SMOS) and active (ASCAT) satellite-based microwave soil moisture retrievals with soil moisture simulations (MERRA-Land), Remote Sens. Environ., 152, 614–626, https://doi.org/10.1016/j.rse.2014.07.013, 2015.
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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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