The NGM was also used to create model output statistics.
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The output from the GFS is also used to produce model output statistics.
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MOS or model output statistics is a technique used to interpret numerical model output and produce site-specific guidance.
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Post-processing techniques such as model output statistics ( MOS ) have been developed to improve the handling of errors in numerical predictions.
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Model output statistics differ from the " perfect prog " technique, which assumes that the output of numerical weather prediction guidance is perfect.
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For specific locations, model output statistics use climate information, output from numerical weather prediction, and current surface weather observations to develop statistical relationships which account for model bias and resolution issues.
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Ensemble model output statistics are available out to 8 days . The GFS ensemble is combined with Canada's Global Environmental Multiscale Model ensemble to form the North American Ensemble Forecast System ( NAEFS ).
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As such, a statistical relationship between the output of a numerical weather model and the ensuing conditions at the ground was developed in the 1970s and 1980s, known as model output statistics ( MOS ).
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In order to account for systematic forecasting errors that may be due to the NWP model or to their modeling approach, physical modelers often integrate Model Output Statistics ( MOS ) for post-processing power forecasts.
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Because the output of forecast models based on atmospheric dynamics requires corrections near ground level, model output statistics ( MOS ) were developed in the 1970s and 1980s for individual " forecast points " ( locations ).
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