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    The Impact of Altimeter Sampling Patterns on Estimates of Background Errors in a Global Wave Model 

    Source: Journal of Atmospheric and Oceanic Technology:;2005:;volume( 022 ):;issue: 012:;page 1895
    Author(s): Greenslade, Diana J. M.; Young, Ian R.
    Publisher: American Meteorological Society
    Abstract: One of the main limitations to current wave data assimilation systems is the lack of an accurate representation of the structure of the background errors. One method that may be used to determine background errors is the ...
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    Consensus of Numerical Model Forecasts of Significant Wave Heights 

    Source: Weather and Forecasting:;2007:;volume( 022 ):;issue: 004:;page 792
    Author(s): Woodcock, Frank; Greenslade, Diana J. M.
    Publisher: American Meteorological Society
    Abstract: The operational consensus forecast (OCF) scheme uses past performance to bias correct and combine numerical forecasts to produce an improved forecast at locations where recent observations are available. Here, OCF uses ...
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    Forecast Divergences of a Global Wave Model 

    Source: Monthly Weather Review:;2005:;volume( 133 ):;issue: 008:;page 2148
    Author(s): Greenslade, Diana J. M.; Young, Ian R.
    Publisher: American Meteorological Society
    Abstract: One of the main limitations to current wave data assimilation systems is the lack of an accurate representation of the structure of the background errors. One method that may be used to determine background errors is the ...
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    Consensus Forecasts of Modeled Wave Parameters 

    Source: Weather and Forecasting:;2009:;volume( 024 ):;issue: 002:;page 492
    Author(s): Durrant, Tom H.; Woodcock, Frank; Greenslade, Diana J. M.
    Publisher: American Meteorological Society
    Abstract: The use of numerical guidance has become integral to the process of modern weather forecasting. Using various techniques, postprocessing of numerical model output has been shown to mitigate some of the deficiencies of these ...
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    An Assessment of Marine Surface Winds from the Australian Bureau of Meteorology Numerical Weather Prediction Systems 

    Source: Weather and Forecasting:;2007:;volume( 022 ):;issue: 003:;page 613
    Author(s): Schulz, Eric W.; Kepert, Jeffrey D.; Greenslade, Diana J. M.
    Publisher: American Meteorological Society
    Abstract: A method for routinely verifying numerical weather prediction surface marine winds with satellite scatterometer winds is introduced. The marine surface winds from the Australian Bureau of Meteorology?s operational global ...
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    Validation of Jason-1 and Envisat Remotely Sensed Wave Heights 

    Source: Journal of Atmospheric and Oceanic Technology:;2009:;volume( 026 ):;issue: 001:;page 123
    Author(s): Durrant, Tom H.; Greenslade, Diana J. M.; Simmonds, Ian
    Publisher: American Meteorological Society
    Abstract: Satellite altimetry provides an immensely valuable source of operational significant wave height (Hs) data. Currently, altimeters on board Jason-1 and Envisat provide global Hs observations, available within 3?5 h of real ...
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    The Midlatitude Resolution Capability of Sea Level Fields Constructed from Single and Multiple Satellite Altimeter Datasets 

    Source: Journal of Atmospheric and Oceanic Technology:;1997:;volume( 014 ):;issue: 004:;page 849
    Author(s): Greenslade, Diana J. M.; Chelton, Dudley B.; Schlax, Michael G.
    Publisher: American Meteorological Society
    Abstract: A formalism recently developed for determining the effects of sampling errors on objectively smoothed fields constructed from an irregularly sampled dataset is applied to investigate the relative merits of single and ...
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    Correcting Marine Surface Winds Simulated in Atmospheric Models Using Spatially and Temporally Varying Linear Regression 

    Source: Weather and Forecasting:;2013:;volume( 029 ):;issue: 002:;page 305
    Author(s): Durrant, Tom H.; Greenslade, Diana J. M.; Simmonds, Ian; Woodcock, Frank
    Publisher: American Meteorological Society
    Abstract: his study examines the application of three different variations of linear-regression corrections to the surface marine winds from the Australian Bureau of Meteorology?s recently implemented operational atmospheric model. ...
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