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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 7, issue 6
Geosci. Model Dev., 7, 2875-2893, 2014
https://doi.org/10.5194/gmd-7-2875-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 7, 2875-2893, 2014
https://doi.org/10.5194/gmd-7-2875-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model experiment description paper 05 Dec 2014

Model experiment description paper | 05 Dec 2014

The North American Carbon Program Multi-scale Synthesis and Terrestrial Model Intercomparison Project – Part 2: Environmental driver data

Y. Wei1, S. Liu1, D. N. Huntzinger2, A. M. Michalak3, N. Viovy4, W. M. Post1, C. R. Schwalm2, K. Schaefer5, A. R. Jacobson6, C. Lu7, H. Tian7, D. M. Ricciuto1, R. B. Cook1, J. Mao1, and X. Shi1 Y. Wei et al.
  • 1Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
  • 2School of Earth Sciences and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ, USA
  • 3Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA
  • 4Laboratoire des Sciences du Climat et l'Environnement, Paris, France
  • 5University of Colorado, National Snow and Ice Data Center, Boulder, CO, USA
  • 6NOAA Earth System Research Lab, Global Monitoring Division, Boulder, CO, USA
  • 7International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL, USA

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, http://daac.ornl.gov) to provide long-term data management and distribution.

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