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| Titel |
The North American Carbon Program Multi-scale Synthesis and Terrestrial Model Intercomparison Project – Part 2: Environmental driver data |
| VerfasserIn |
Y. Wei, S. Liu, D. N. Huntzinger, A. M. Michalak, N. Viovy, W. M. Post, C. R. Schwalm, K. Schaefer, A. R. Jacobson, C. Lu, H. Tian, D. M. Ricciuto, R. B. Cook, J. Mao, X. Shi |
| 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 ; 7, no. 6 ; Nr. 7, no. 6 (2014-12-05), S.2875-2893 |
| Datensatznummer |
250115790
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| Publikation (Nr.) |
 copernicus.org/gmd-7-2875-2014.pdf |
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| Zusammenfassung |
| Ecosystems are important and dynamic components of the global carbon cycle,
and terrestrial biospheric models (TBMs) are crucial tools in further
understanding of how terrestrial carbon is stored and exchanged with the
atmosphere across a variety of spatial and temporal scales. Improving TBM
skills, and quantifying and reducing their estimation uncertainties,
pose significant challenges. The Multi-scale Synthesis and Terrestrial Model
Intercomparison Project (MsTMIP) is a formal multi-scale and multi-model
intercomparison effort set up to tackle these challenges. The MsTMIP
protocol prescribes standardized environmental driver data that are shared
among model teams to facilitate model–model and model–observation
comparisons. This paper describes the global and North American
environmental driver data sets prepared for the MsTMIP activity to both
support their use in MsTMIP and make these data, along with the processes
used in selecting/processing these data, accessible to a broader audience.
Based on project needs and lessons learned from past model intercomparison
activities, we compiled climate, atmospheric CO2 concentrations,
nitrogen deposition, land use and land cover change (LULCC), C3 / C4 grasses
fractions, major crops, phenology and soil data into a standard format for
global (0.5° × 0.5° resolution) and regional
(North American: 0.25° × 0.25° resolution)
simulations. In order to meet the needs of MsTMIP, improvements were made to
several of the original environmental data sets, by improving the quality,
and/or changing their spatial and temporal coverage, and resolution. The
resulting standardized model driver data sets are being used by over 20
different models participating in MsTMIP. The data are archived at the Oak
Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC,
http://daac.ornl.gov) to provide long-term data management and distribution. |
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