For many applications, expected local weather conditions during the next day or two are critical factors in planning 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 the results of synoptic-scale weather models. Alternatively, mesoscale numerical weather models operating at higher resolution in space and time with more detailed physics may offer greater precision and accuracy within a limited geographic region for problems with short-term weather sensitivity (e.g., Mass et al, 2002; Gall and Shapiro, 2000). Such forecasts can be used for competitive advantage or to improve operational efficiency and safety. To evaluate this hypothesis, a prototype system, dubbed "Deep Thunder", has been implemented for the New York City area.
By: Lloyd A. Treinish, Anthony P. Praino, Zaphiris D. Christidis
Published in: RC22598 in 2002
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