Quoted: The science has been slow to evolve on this because there was less demand for a constant stream of data when forecast models were run only every six hours, says Jason Otkin, an atmospheric scientist at the University of Wisconsin’s Cooperative Institute for Meteorological Satellite Studies in Madison. Now, agencies are shifting towards more-frequent forecasts, using models that can take advantage of larger amounts of high-resolution data. “If anything, the value of these geostationary sensors is only increasing with time,” Otkin says.
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