Changes between Version 2 and Version 3 of GroupActivities/CodeAvalaibilityPublication/ORCHIDEE-GMv3.2


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Timestamp:
2019-03-13T08:55:28+01:00 (5 years ago)
Author:
bguenet
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  • GroupActivities/CodeAvalaibilityPublication/ORCHIDEE-GMv3.2

    v2 v3  
    88At global scale, ORCHIDEE-GM v3.1 is a development of v2.1, includes a parameter adjustment for the C4 grassland biome and implemented a specific strategy for wild herbivores 12. Combining livestock production information, ORCHIDEE-GM v3.1 was applied to reconstruct a series of global gridded maps containing a time-dependent history of grassland management intensity. These maps are model-dependent, and provide a unique opportunity for models with explicit representation of grassland management to make a more accurate estimate of global carbon and GHG budgets of grassland 12  – as we have here. In this study, ORCHIDEE-GM v3.1 has been updated with the parameterizations of v2.2 to a new version named ORCHIDEE-GM v3.2.  
    99 
    10 Reference: 
    11 1       Ciais, P. et al. Europe-wide reduction in primary productivity caused by the heat and drought in 2003. Nature 437, 529-533, doi:10.1038/nature03972 (2005). 
    12  
    13 2       Krinner, G. et al. A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system. Global Biogeochemical Cycles 19, Gb1015. doi:10.1029/2003gb002199 (2005). 
    14  
    15 3       Piao, S. et al. Changes in climate and land use have a larger direct impact than rising CO2 on global river runoff trends. Proceedings of the National Academy of Sciences of the United States of America 104, 15242-15247, doi:10.1073/pnas.0707213104 (2007). 
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    17 4       Chang, J. F. et al. Incorporating grassland management in ORCHIDEE: model description and evaluation at 11 eddy-covariance sites in Europe. Geoscientific Model Development 6, 2165-2181, doi:10.5194/gmd-6-2165-2013 (2013). 
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    19 5       Graux, A. I. et al. Development of the Pasture Simulation Model for assessing livestock production under climate change. Agriculture Ecosystems & Environment 144, 69-91, doi:10.1016/j.agee.2011.07.001 (2011). 
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    21 6       Riedo, M., Grub, A., Rosset, M. & Fuhrer, J. A pasture simulation model for dry matter production, and fluxes of carbon, nitrogen, water and energy. Ecological Modelling 105, 141-183, doi:10.1016/s0304-3800(97)00110-5 (1998). 
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    23 7       Vuichard, N., Ciais, P., Viovy, N., Calanca, P. & Soussana, J.-F. Estimating the greenhouse gas fluxes of European grasslands with a process-based model: 2. Simulations at the continental level. Global Biogeochemical Cycles 21, Gb1005. doi:10.1029/2005gb002612 (2007). 
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    25 8       Vuichard, N. et al. Estimating the greenhouse gas fluxes of European grasslands with a process-based model: 1. Model evaluation from in situ measurements. Global Biogeochemical Cycles 21, Gb1004. doi:10.1029/2005gb002611 (2007). 
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    27 9       Chang, J. et al. Modeled Changes in Potential Grassland Productivity and in Grass-Fed Ruminant Livestock Density in Europe over 1961–2010.  (2015). 
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    29 10      Chang, J. et al. The greenhouse gas balance of European grasslands. Global change biology 21, 3748-3761 (2015). 
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    31 11      Chang, J. et al. Future productivity and phenology changes in European grasslands for different warming levels: implications for grassland management and carbon balance. Carbon balance and management 12, 11 (2017). 
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    33 12      Chang, J. et al. Combining livestock production information in a process-based vegetation model to reconstruct the history of grassland management. Biogeosciences 13, 3757-3776 (2016). 
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    3810 
    3911== Code access == 
    … …  
    4214* Extract it on a terminal as follow, type anonymous as password:  
    4315{{{ 
    44 svn co --username anonymous svn://forge.ipsl.jussieu.fr/orchidee/branches/publications/ORCHIDEE-GMv3 ORCHIDEE 
     16svn co --username anonymous svn://forge.ipsl.jussieu.fr/orchidee/branches/publications/ORCHIDEE-GMv3.2 ORCHIDEE 
    4517}}} 
    4618