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6. Findings and Recommendations
Pages 54-61

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From page 54...
... Radar data will also be used increasingly in advanced data assimilation schemes with numerical weather and associated hydrologic prediction models. These applications will require real-time data of very high quality, with error statistics that are well quantified.
From page 55...
... system, a highly capable weather surveillance radar, has proved to be of great value to many sectors of our society, and its applications have extended beyond the traditional goal of protecting life and property. The Radar Operation Center and the NEXRAD Product Improvement Program mechanisms have provided an evolutionary process for improvements to the system.
From page 56...
... Finding Radar systems with phased array antennas and advanced waveforms can support a broad spectrum of applications with observation times sufficiently short to deal with rapidly evolving weather events such as tornadoes or downburst winds.
From page 57...
... Future satellite technology is likely to allow on-orbit operation of weather radar systems with larger antenna apertures and higher power outputs than are currently used in space. Satellite constellations operating as distributed array antennas would provide high-resolution global coverage, thereby supplementing ground-based networks.
From page 58...
... Finding Weather forecasting and warning applications are increasingly relying on integrated observations from a variety of systems that are asynchronous in time and are nonuniformly spaced geographically. Weather radar is a key instrument that provides rapid update and volumetric coverage.
From page 59...
... Realtime data quality assessment should be automated and used in deriving error statistics, and alerting users to system performance degradation. Finding Present and prospective users of the electromagnetic spectrum are competing for the current weather radar spectrum allocation.
From page 60...
... Finding Weather radar provides observations, on small spatial and time scales, that are essential for monitoring precipitation and diagnosing certain weather events as well as for supporting nowcasting systems, hydrologic models, and numerical weather prediction models. Effective assimilation of radar data in these models requires accurate error statistics.
From page 61...
... Additionally, numerical weather prediction (NWP) models and nowcasting techniques would readily provide forecasts for times ranging from a few minutes to many hours.


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