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    Evaluating the Performance of Land Surface Models 

    Source: Journal of Climate:;2008:;volume( 021 ):;issue: 021:;page 5468
    Author(s): Abramowitz, Gab; Leuning, Ray; Clark, Martyn; Pitman, Andy
    Publisher: American Meteorological Society
    Abstract: This paper presents a set of analytical tools to evaluate the performance of three land surface models (LSMs) that are used in global climate models (GCMs). Predictions of the fluxes of sensible heat, latent heat, and net ...
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    Neural Error Regression Diagnosis (NERD): A Tool for Model Bias Identification and Prognostic Data Assimilation 

    Source: Journal of Hydrometeorology:;2006:;Volume( 007 ):;issue: 001:;page 160
    Author(s): Abramowitz, Gab; Gupta, Hoshin; Pitman, Andy; Wang, Yingping; Leuning, Ray; Cleugh, Helen; Hsu, Kuo-lin
    Publisher: American Meteorological Society
    Abstract: Data assimilation in the field of predictive land surface modeling is generally limited to using observational data to estimate optimal model states or restrict model parameter ranges. To date, very little work has attempted ...
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    Decadal Trends in Evaporation from Global Energy and Water Balances 

    Source: Journal of Hydrometeorology:;2011:;Volume( 013 ):;issue: 001:;page 379
    Author(s): Zhang, Yongqiang; Leuning, Ray; Chiew, Francis H. S.; Wang, Enli; Zhang, Lu; Liu, Changming; Sun, Fubao; Peel, Murray C.; Shen, Yanjun; Jung, Martin
    Publisher: American Meteorological Society
    Abstract: atellite and gridded meteorological data can be used to estimate evaporation (E) from land surfaces using simple diagnostic models. Two satellite datasets indicate a positive trend (first time derivative) in global available ...
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    SPECIAL—Savanna Patterns of Energy and Carbon Integrated across the Landscape 

    Source: Bulletin of the American Meteorological Society:;2011:;volume( 092 ):;issue: 011:;page 1467
    Author(s): Beringer, Jason; Hacker, Jorg; Hutley, Lindsay B.; Leuning, Ray; Arndt, Stefan K.; Amiri, Reza; Bannehr, Lutz; Cernusak, Lucas A.; Grover, Samantha; Hensley, Carol; Hocking, Darren; Isaac, Peter; Jamali, Hizbullah; Kanniah, Kasturi; Livesley, Stephen; Neininger, Bruno; Paw U, Kyaw Tha; Sea, William; Straten, Dennis; Tapper, Nigel; Weinmann, Richard; Wood, Stephen; Zegelin, Steve
    Publisher: American Meteorological Society
    Abstract: are highly significant global ecosystems that consist of a mix of trees and grasses and that are highly spatially varied in their physical structure, species composition, and physiological function (i.e., leaf area and ...
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