The north american carbon program multi-scale synthesis and terrestrial model intercomparison project - Part 2: Environmental driver data

Y. Wei, S. Liu, Deborah N Huntzinger, A. M. Michalak, N. Viovy, W. M. Post, Christopher R Schwalm, K. Schaefer, A. R. Jacobson, C. Lu, H. Tian, D. M. Ricciuto, R. B. Cook, J. Mao, X. Shi

Research output: Contribution to journalArticle

97 Citations (Scopus)

Abstract

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, <a hrefCombining double low line"http://daac.ornl.gov">http://daac.ornl.gov</a>) to provide long-term data management and distribution.

Original languageEnglish (US)
Pages (from-to)2875-2893
Number of pages19
JournalGeoscientific Model Development
Volume7
Issue number6
DOIs
StatePublished - Dec 5 2014

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Driver
Carbon
Synthesis
carbon
Model
Biospherics
environmental data
programme
project
Uncertainty Estimation
Multiscale Model
Multi-model
Land Cover
Land Use
Data Distribution
Ridge
Formal Model
Data Management
data management
Ecosystem

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Modeling and Simulation

Cite this

The north american carbon program multi-scale synthesis and terrestrial model intercomparison project - Part 2 : Environmental driver data. / Wei, Y.; Liu, S.; Huntzinger, Deborah N; Michalak, A. M.; Viovy, N.; Post, W. M.; Schwalm, Christopher R; Schaefer, K.; Jacobson, A. R.; Lu, C.; Tian, H.; Ricciuto, D. M.; Cook, R. B.; Mao, J.; Shi, X.

In: Geoscientific Model Development, Vol. 7, No. 6, 05.12.2014, p. 2875-2893.

Research output: Contribution to journalArticle

Wei, Y, Liu, S, Huntzinger, DN, Michalak, AM, Viovy, N, Post, WM, Schwalm, CR, Schaefer, K, Jacobson, AR, Lu, C, Tian, H, Ricciuto, DM, Cook, RB, Mao, J & Shi, X 2014, 'The north american carbon program multi-scale synthesis and terrestrial model intercomparison project - Part 2: Environmental driver data', Geoscientific Model Development, vol. 7, no. 6, pp. 2875-2893. https://doi.org/10.5194/gmd-7-2875-2014
Wei, Y. ; Liu, S. ; Huntzinger, Deborah N ; Michalak, A. M. ; Viovy, N. ; Post, W. M. ; Schwalm, Christopher R ; Schaefer, K. ; Jacobson, A. R. ; Lu, C. ; Tian, H. ; Ricciuto, D. M. ; Cook, R. B. ; Mao, J. ; Shi, X. / The north american carbon program multi-scale synthesis and terrestrial model intercomparison project - Part 2 : Environmental driver data. In: Geoscientific Model Development. 2014 ; Vol. 7, No. 6. pp. 2875-2893.
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