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Filtering by: Subject Statistical weather forecasting Remove constraint Subject: Statistical weather forecasting Academic Affiliation Atmospheric Sciences Remove constraint Academic Affiliation: Atmospheric Sciences Language English [eng] Remove constraint Language: English [eng]

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  • Statistical surface wind forecasting at Goodnoe Hills, Washington

    Creator:
    Curtis, Joel C.
    Abstract:
    Multiple linear regression was used to develop equations for 12-, 24-, and 36-hour surface wind forecasts for the wind energy site at Goodnoe Hills. Equations were derived separately for warm and cool seasons. The potential predictors included LFM II model output, MOS surface wind forecasts extrapolated from surrounding stations, pressure...
    Resource Type:
    Masters Thesis
    Full Text:
    . STATISTICAL WIND FORECASTING In recent years, great strides have been made in numerical weather prediction