This is a companion paper to "Architecture Vision and Technologies for post-NPOESS Weather Prediction System: Two-way Interactive Observing and Modeling". Our recently completed two-year NASA-sponsored study on Advanced Weather Forecasting Technologies concluded that it may be possible in the future to significantly extend the skill range of model based weather forecasting via a direct real-time two-way feedback between computer forecast models and highly networked, intelligent observing systems (Sensor Webs). The study group developed a high-level Weather Architecture to describe the system (see the companion paper). This paper describes application of the proposed Weather Architecture to a particular weather scenario-the US east coast Blizzard of January 24 and 25, 2000. The objective of the scenario exercise was to help clarify thinking on the architecture functions in light of realistic, tractable (1 to 5 day) forecast situations, and infrastructure and technologies that might be reasonably projected for 2015.
A recently completed two-year NASA-sponsored study on Advanced Weather Forecasting Technologies envisions that given the opportunity to realize key technological advances over the next quarter century, and with judicious infrastructure and technology investments, it may be possible to significantly extend the skill range of model based weather forecasting via real-time two-way feedbacks between computer forecast models and highly networked, intelligent observing systems (Sensor Webs). Through this linkage, the observing system will have access to information about the present and evolving state of the atmosphere and, most importantly, have the intelligence to act on information about the future states of the atmosphere derived from the forecast model. An ultimate aim is full dynamic situation-driven observing system reconfigurability. The system is conceived to enable operational expression of optimized targeted observing. Ideas are presented on how the entire system might be designed and operated from the perspectives of the underlying science, technology evolution, and system engineering in order to provide the needed coordination between and among space- and ground-based observing and forecast model operations. The greatest challenges lay with the development of the large scale deep infrastructure on which the more advanced proposed forecast system functionality depends.
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