Mesoscale Forecasts Generated from Operational Numerical Weather-Prediction Model Output

A technique called Model Output Enhancement (MOE) has been developed for the generation and display of mesoscale weather forecasts. The MOE technique derives mesoscale or high-resolution (order of 1 km) weather forecasts from synoptic-scale numerical weather-prediction models by modifying model outp...

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Bibliographic Details
Published in:Bulletin of the American Meteorological Society 1988-01, Vol.69 (1), p.7-15
Main Authors: Kelley, John G. W., Russo, Joseph M., Eyton, J. Ronald, Carlson, Toby N.
Format: Article
Language:English
Subjects:
Analytical forecasting
Atmospheric models
Atmospherics
Climate models
Commerce
Earth, ocean, space
Exact sciences and technology
External geophysics
Meteorology
Meteors
Temperature
Weather
Weather analysis and prediction
Weather forecasting
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Summary:A technique called Model Output Enhancement (MOE) has been developed for the generation and display of mesoscale weather forecasts. The MOE technique derives mesoscale or high-resolution (order of 1 km) weather forecasts from synoptic-scale numerical weather-prediction models by modifying model output with geophysical and land-cover data. Mesoscale forecasts generated by the MOE technique are displayed as color-class maps overlaid on perspective plots of terrain. The MOE technique has been demonstrated in the generation of mesoscale maximum-temperature and minimum-temperature forecasts for case-study days of clear-sky conditions over the Commonwealth of Pennsylvania. The generated forecasts were evaluated using data from selected climatological stations.
ISSN:0003-0007
1520-0477
DOI:10.1175/1520-0477(1988)069<0007:MFGFON>2.0.CO;2