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  Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0

Schürmann, G., Kaminski, T., Köstler, C., Carvalhais, N., Voßbeck, M., Kattge, J., et al. (2016). Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0. Geoscientific Model Development, 9(9), 2999-3026. doi:10.5194/gmd-9-2999-2016.

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 Urheber:
Schürmann, Gregor1, Autor           
Kaminski, Thomas, Autor
Köstler, Christoph1, 2, Autor           
Carvalhais, Nuno3, Autor           
Voßbeck, Michael, Autor
Kattge, Jens4, Autor           
Giering, Ralf, Autor
Rödenbeck, Christian5, Autor           
Heimann, Martin6, Autor           
Zaehle, Sönke1, 2, Autor           
Affiliations:
1Terrestrial Biosphere Modelling , Dr. Sönke Zähle, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938309              
2Terrestrial Biosphere Modelling , Dr. Sönke Zähle, Department Biogeochemical Integration, Prof. Dr. Martin Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497787              
3Model-Data Integration, Dr. Nuno Carvalhais, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938310              
4Interdepartmental Max Planck Fellow Group Functional Biogeography, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938314              
5Inverse Data-driven Estimation, Dr. C. Rödenbeck, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497785              
6Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497755              

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 Zusammenfassung: We describe the Max Planck Institute Carbon Cycle Data Assimilation System (MPI-CCDAS) built around the tangent-linear version of the land surface scheme of the MPI-Earth System Model v1 (JSBACH). The simulated terrestrial biosphere processes (phenology and carbon balance) were constrained by observations of the fraction of photosynthetically active radiation (TIP-FAPAR product) and by observations of atmospheric CO2 at a global set of monitoring stations for the years 2005–2009. The system successfully, and computationally efficiently, improved average foliar area and northern extra-tropical seasonality of foliar area when constrained by TIP-FAPAR. Global net and gross carbon fluxes were improved when constrained by atmospheric CO2, although the system tended to underestimate tropical productivity. Assimilating both data streams jointly allowed the MPI-CCDAS to match both observations (TIP-FAPAR and atmospheric CO2) equally well as the single data stream assimilation cases, therefore overall increasing the appropriateness of the resultant parameter values and biosphere dynamics. Our study thus highlights the role of the TIP-FAPAR product in stabilising the underdetermined atmospheric inversion problem and demonstrates the value of multiple-data stream assimilation for the simulation of terrestrial biosphere dynamics. The constraint on regional gross and net CO2 flux patterns is limited through the parametrisation of the biosphere model. We expect improvement on that aspect through a refined initialisation strategy and inclusion of further biosphere observations as constraints.

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 Datum: 2016-08-032016-09-022016
 Publikationsstatus: Erschienen
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 Identifikatoren: Anderer: BGC2387
DOI: 10.5194/gmd-9-2999-2016
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Titel: Geoscientific Model Development
  Andere : Geosci. Model Dev.
  Kurztitel : GMD
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Göttingen : Copernicus Publ.
Seiten: - Band / Heft: 9 (9) Artikelnummer: - Start- / Endseite: 2999 - 3026 Identifikator: ISSN: 1991-959X
CoNE: https://pure.mpg.de/cone/journals/resource/1991-959X