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| Titel |
The North American Carbon Program Multi-Scale Synthesis and Terrestrial Model Intercomparison Project – Part 1: Overview and experimental design |
| VerfasserIn |
D. N. Huntzinger, C. Schwalm, A. M. Michalak, K. Schaefer, A. W. King, Y. Wei, A. Jacobson, S. Liu, R. B. Cook, W. M. Post, G. Berthier, D. Hayes, M. Huang, A. Ito, H. Lei, C. Lu, J. Mao, C. H. Peng, S. Peng, B. Poulter, D. Riccuito, X. Shi, H. Tian, W. Wang, N. Zeng, F. Zhao, Q. Zhu |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 6, no. 6 ; Nr. 6, no. 6 (2013-12-17), S.2121-2133 |
| Datensatznummer |
250085024
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| Publikation (Nr.) |
 copernicus.org/gmd-6-2121-2013.pdf |
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| Zusammenfassung |
| Terrestrial biosphere models (TBMs) have become an integral tool for
extrapolating local observations and understanding of land–atmosphere carbon
exchange to larger regions. The North American Carbon Program (NACP)
Multi-scale synthesis and Terrestrial Model Intercomparison Project (MsTMIP)
is a formal model intercomparison and evaluation effort focused on improving
the diagnosis and attribution of carbon exchange at regional and
global scales. MsTMIP builds upon current and past synthesis activities, and
has a unique framework designed to isolate, interpret, and inform
understanding of how model structural differences impact estimates of carbon
uptake and release. Here we provide an overview of the MsTMIP effort and
describe how the MsTMIP experimental design enables the assessment and
quantification of TBM structural uncertainty. Model structure refers to the
types of processes considered (e.g., nutrient cycling, disturbance, lateral
transport of carbon), and how these processes are represented (e.g.,
photosynthetic formulation, temperature sensitivity, respiration) in the
models. By prescribing a common experimental protocol with standard spin-up
procedures and driver data sets, we isolate any biases and variability in TBM
estimates of regional and global carbon budgets resulting from differences in
the models themselves (i.e., model structure) and model-specific parameter
values. An initial intercomparison of model structural differences is
represented using hierarchical cluster diagrams (a.k.a. dendrograms), which
highlight similarities and differences in how models account for carbon
cycle, vegetation, energy, and nitrogen cycle dynamics. We show that, despite
the standardized protocol used to derive initial conditions, models show a
high degree of variation for GPP, total living biomass, and total soil
carbon, underscoring the influence of differences in model structure and
parameterization on model estimates. |
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