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    Climate Drift in a Coupled Land–Atmosphere Model 

    Source: Journal of Hydrometeorology:;2001:;Volume( 002 ):;issue: 001:;page 89
    Author(s): Dirmeyer, Paul A.
    Publisher: American Meteorological Society
    Abstract: A coupled land?atmosphere climate model is examined for evidence of climate drift in the land surface state variable of soil moisture. The drift is characterized as pathological error growth in two different ways. First ...
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    An Evaluation of the Strength of Land–Atmosphere Coupling 

    Source: Journal of Hydrometeorology:;2001:;Volume( 002 ):;issue: 004:;page 329
    Author(s): Dirmeyer, Paul A.
    Publisher: American Meteorological Society
    Abstract: Two ensembles of 1-month integrations of a coupled land?atmosphere climate model that differ only in their treatment of land surface boundary conditions have been generated from initial conditions chosen from the July ...
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    The Role of the Land Surface Background State in Climate Predictability 

    Source: Journal of Hydrometeorology:;2003:;Volume( 004 ):;issue: 003:;page 599
    Author(s): Dirmeyer, Paul A.
    Publisher: American Meteorological Society
    Abstract: Skill in ensemble-mean dynamical seasonal climate hindcasts with a coupled land?atmosphere model and specified observed sea surface temperature is compared to that for long multidecade integrations of the same model where ...
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    A History and Review of the Global Soil Wetness Project (GSWP) 

    Source: Journal of Hydrometeorology:;2011:;Volume( 012 ):;issue: 005:;page 729
    Author(s): Dirmeyer, Paul A.
    Publisher: American Meteorological Society
    Abstract: he Global Soil Wetness Project (GSWP) is an international land surface modeling research effort involving dataset production, validation, model comparison, and scientific investigation in the areas of land surface hydrology ...
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    The Land Surface Contribution to the Potential Predictability of Boreal Summer Season Climate 

    Source: Journal of Hydrometeorology:;2005:;Volume( 006 ):;issue: 005:;page 618
    Author(s): Dirmeyer, Paul A.
    Publisher: American Meteorological Society
    Abstract: The role of the land surface in contributing to the potential predictability of the boreal summer climate is investigated with a coupled land?atmosphere climate model. Ensemble simulations for 1982?99 have been conducted ...
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    The Hydrologic Feedback Pathway for Land–Climate Coupling 

    Source: Journal of Hydrometeorology:;2006:;Volume( 007 ):;issue: 005:;page 857
    Author(s): Dirmeyer, Paul A.
    Publisher: American Meteorological Society
    Abstract: The impact of improvements in land surface initialization and specification of observed rainfall in global climate model simulations of boreal summer are examined to determine how the changes propagate around the hydrologic ...
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    Using a Global Soil Wetness Dataset to Improve Seasonal Climate Simulation 

    Source: Journal of Climate:;2000:;volume( 013 ):;issue: 016:;page 2900
    Author(s): Dirmeyer, Paul A.
    Publisher: American Meteorological Society
    Abstract: Ensembles of boreal summer coupled land?atmosphere climate model integrations for 1987 and 1988 are conducted with and without interactive soil moisture to evaluate the degree of climate drift in the coupled land?atmosphere ...
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    Vegetation Stress as a Feedback Mechanism in Midlatitude Drought 

    Source: Journal of Climate:;1994:;volume( 007 ):;issue: 010:;page 1463
    Author(s): Dirmeyer, Paul A.
    Publisher: American Meteorological Society
    Abstract: An atmospheric general circulation model with land surface properties represented by the Simplified Simple Biosphere Model is used to investigate the effect of soil moisture and vegetation stress on drought in the ...
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    A Novel Method for Diagnosing Land–Atmosphere Coupling Sensitivity in a Single-Column Model 

    Source: Journal of Hydrometeorology:;2023:;volume( 024 ):;issue: 012:;page 2207
    Author(s): Hay-Chapman, Finley M.; Dirmeyer, Paul A.
    Publisher: American Meteorological Society
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    The Soil Moisture–Surface Flux Relationship as a Factor for Extreme Heat Predictability in Subseasonal to Seasonal Forecasts 

    Source: Journal of Climate:;2023:;volume( 036 ):;issue: 018:;page 6375
    Author(s): Benson, David O.; Dirmeyer, Paul A.
    Publisher: American Meteorological Society
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