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    Climate Model Dependence and the Ensemble Dependence Transformation of CMIP Projections 

    Source: Journal of Climate:;2014:;volume( 028 ):;issue: 006:;page 2332
    Author(s): Abramowitz, G.; Bishop, C. H.
    Publisher: American Meteorological Society
    Abstract: btaining multiple estimates of future climate for a given emissions scenario is key to understanding the likelihood and uncertainty associated with climate-related impacts. This is typically done by collating model estimates ...
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    Evaluating CMIP5 Model Agreement for Multiple Drought Metrics 

    Source: Journal of Hydrometeorology:;2018:;volume 019:;issue 006:;page 969
    Author(s): Ukkola, A. M.; Pitman, A. J.; De Kauwe, M. G.; Abramowitz, G.; Herger, N.; Evans, J. P.; Decker, M.
    Publisher: American Meteorological Society
    Abstract: AbstractGlobal climate models play an important role in quantifying past and projecting future changes in drought. Previous studies have pointed to shortcomings in these models for simulating droughts, but systematic ...
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    The Plumbing of Land Surface Models: Benchmarking Model Performance 

    Source: Journal of Hydrometeorology:;2015:;Volume( 016 ):;issue: 003:;page 1425
    Author(s): Best, M. J.; Abramowitz, G.; Johnson, H. R.; Pitman, A. J.; Balsamo, G.; Boone, A.; Cuntz, M.; Decharme, B.; Dirmeyer, P. A.; Dong, J.; Ek, M.; Guo, Z.; Haverd, V.; van den Hurk, B. J. J.; Nearing, G. S.; Pak, B.; Peters-Lidard, C.; Santanello, J. A.; Stevens, L.; Vuichard, N.
    Publisher: American Meteorological Society
    Abstract: he Protocol for the Analysis of Land Surface Models (PALS) Land Surface Model Benchmarking Evaluation Project (PLUMBER) was designed to be a land surface model (LSM) benchmarking intercomparison. Unlike the traditional ...
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