English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Separation of the effects of land and climate model errors on simulated contemporary land carbon cycle trends in the MPI Earth system model VI

MPS-Authors
/persons/resource/persons62363

Dalmonech,  Daniela
Terrestrial Biosphere Modelling & Data assimilation, Dr. S. Zähle, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons62612

Zaehle,  Sönke
Terrestrial Biosphere Modelling & Data assimilation, Dr. S. Zähle, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;
Terrestrial Biosphere Modelling, Dr. Sönke Zähle, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons129571

Schürmann,  Gregor
Terrestrial Biosphere Modelling & Data assimilation, Dr. S. Zähle, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society;

External Ressource
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
Citation

Dalmonech, D., Zaehle, S., Schürmann, G., Brovkin, V., Reick, C., & Schnur, R. (2015). Separation of the effects of land and climate model errors on simulated contemporary land carbon cycle trends in the MPI Earth system model VI. Journal of Climate, 28(1), 272-291. doi:10.1175/JCLI-D-13-00593.1.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0024-260E-8
Abstract
The capacity of Earth System Models (ESMs) to make reliable projections of future 26 atmospheric CO2 and climate is strongly dependent on the ability of the land surface model 27 to adequately simulate the land carbon (C) cycle. Defining “adequate” performance of the 28 land model requires an understanding of the contributions of climate model and land model 29 errors to the land C cycle. Here, we apply a benchmarking framework based on significant, 30 observed characteristics of the land C cycle for the contemporary period, for which sufficient 31 evaluation data are available, to test the ability of the JSBACH land surface component of the 32 MPI Earth System Model (MPI-ESM), to simulate land C trends. We give particular attention 33 to the role of potential effects caused by climate biases and therefore investigate the results 34 of model configurations in which JSBACH is interactively “coupled” to atmosphere and ocean 35 components, and an “uncoupled” configuration, where JSBACH is driven by reconstructed 36 meteorology. 37 The ability of JSBACH to simulate the observed phase of phenology and seasonal C fluxes is 38 not strongly affected by climate biases. Contrarily, noticeable differences in the simulated 39 gross primary productivity and land C stocks emerge between coupled and uncoupled 40 configurations, leading to significant differences in the decadal terrestrial C balance, and its 41 sensitivity to climate. These differences are strongly controlled by climate biases of the MPI42 ESM, in particular those affecting soil moisture. To effectively characterize model 43 performance, the potential effects of climate biases on the land C dynamics need to be 44 considered during the development and calibration of land surface models.