Automated Precipitation Forecasts Using a Single-Station Radiosonde Profile

Leonard M. Druyan Dept. of Geography, Bar Ilan University, Ramat Gan, Israel

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An automated scheme, based on statistical regression, uses four predictors derived from a single-station radiosonde profile to forecast precipitation for a 12 h period. Testing shows good correlation between predictions and observations but also the need for adjusting systematic errors.

An automated scheme, based on statistical regression, uses four predictors derived from a single-station radiosonde profile to forecast precipitation for a 12 h period. Testing shows good correlation between predictions and observations but also the need for adjusting systematic errors.

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