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    The Sensitivity of Global Climate Model Simulations to the Representation of Soil Moisture Heterogeneity 

    Source: Journal of Hydrometeorology:;2003:;Volume( 004 ):;issue: 006:;page 1265
    Author(s): Gedney, N.; Cox, P. M.
    Publisher: American Meteorological Society
    Abstract: Improving the treatment of subgrid-scale soil moisture variations is recognized as a priority for the next generation of land surface schemes. Here, the impact of an improved representation of subgrid-scale soil moisture ...
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    Explicit Representation of Subgrid Heterogeneity in a GCM Land Surface Scheme 

    Source: Journal of Hydrometeorology:;2003:;Volume( 004 ):;issue: 003:;page 530
    Author(s): Essery, R. L. H.; Best, M. J.; Betts, R. A.; Cox, P. M.; Taylor, C. M.
    Publisher: American Meteorological Society
    Abstract: A land surface scheme that may be run with or without a tiled representation of subgrid heterogeneity and includes an implicit atmospheric coupling scheme is described. Simulated average surface air temperatures and diurnal ...
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    Characterizing GCM Land Surface Schemes to Understand Their Responses to Climate Change 

    Source: Journal of Climate:;2000:;volume( 013 ):;issue: 017:;page 3066
    Author(s): Gedney, N.; Cox, P. M.; Douville, H.; Polcher, J.; Valdes, P. J.
    Publisher: American Meteorological Society
    Abstract: The impact of land surface representation on GCM simulations of climate change is analyzed using eight climate change experiments, carried out with four GCMs each utilizing two different land surface schemes (LSSs). In the ...
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    Evaluating the Land and Ocean Components of the Global Carbon Cycle in the CMIP5 Earth System Models 

    Source: Journal of Climate:;2013:;volume( 026 ):;issue: 018:;page 6801
    Author(s): Anav, A.; Friedlingstein, P.; Kidston, M.; Bopp, L.; Ciais, P.; Cox, P.; Jones, C.; Jung, M.; Myneni, R.; Zhu, Z.
    Publisher: American Meteorological Society
    Abstract: he authors assess the ability of 18 Earth system models to simulate the land and ocean carbon cycle for the present climate. These models will be used in the next Intergovernmental Panel on Climate Change (IPCC) Fifth ...
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    Climate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison 

    Source: Journal of Climate:;2006:;volume( 019 ):;issue: 014:;page 3337
    Author(s): Friedlingstein, P.; Cox, P.; Betts, R.; Bopp, L.; von Bloh, W.; Brovkin, V.; Cadule, P.; Doney, S.; Eby, M.; Fung, I.; Bala, G.; John, J.; Jones, C.; Joos, F.; Kato, T.; Kawamiya, M.; Knorr, W.; Lindsay, K.; Matthews, H. D.; Raddatz, T.; Rayner, P.; Reick, C.; Roeckner, E.; Schnitzler, K.-G.; Schnur, R.; Strassmann, K.; Weaver, A. J.; Yoshikawa, C.; Zeng, N.
    Publisher: American Meteorological Society
    Abstract: Eleven coupled climate?carbon cycle models used a common protocol to study the coupling between climate change and the carbon cycle. The models were forced by historical emissions and the Intergovernmental Panel on Climate ...
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    The Representation of Snow in Land Surface Schemes: Results from PILPS 2(d) 

    Source: Journal of Hydrometeorology:;2001:;Volume( 002 ):;issue: 001:;page 7
    Author(s): Slater, A. G.; Schlosser, C. A.; Desborough, C. E.; Pitman, A. J.; Henderson-Sellers, A.; Robock, A.; Vinnikov, K. Ya; Entin, J.; Mitchell, K.; Chen, F.; Boone, A.; Etchevers, P.; Habets, F.; Noilhan, J.; Braden, H.; Cox, P. M.; de Rosnay, P.; Dickinson, R. E.; Yang, Z-L.; Dai, Y-J.; Zeng, Q.; Duan, Q.; Koren, V.; Schaake, S.; Gedney, N.; Gusev, Ye M.; Nasonova, O. N.; Kim, J.; Kowalczyk, E. A.; Shmakin, A. B.; Smirnova, T. G.; Verseghy, D.; Wetzel, P.; Xue, Y.
    Publisher: American Meteorological Society
    Abstract: Twenty-one land surface schemes (LSSs) performed simulations forced by 18 yr of observed meteorological data from a grassland catchment at Valdai, Russia, as part of the Project for the Intercomparison of Land-Surface ...
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    DSpace software copyright © 2002-2015  DuraSpace
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