Coupling of Mesoscale Weather Models to Business Operations Utilizing Visual Data Fusion
نویسنده
چکیده
In many industries weather conditions are a critical factor in planning business operations and making effective decisions. Typically, what optimization that is applied to these processes to enable proactive efforts utilize either historical weather data as a predictor of trends or weather forecasts of limited precision. Alternatively, numerical weather models operating at higher resolution in space and time with more detailed physics exist for short-term forecasting (i.e., a few days at the mesoscale) that offer greater precision and accuracy for a more limited region. Although such a model has occasionally been adapted for the specific three-dimensional geographic area and time-scale relevant to the aforementioned decision making (e.g., Carpenter and Bassett, 2001; Snook, 2001), usually it is not.
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