Development of a sensor web simulator: status and preliminary results for a future satellite wind lidar mission
Michael Seablom, NASA/GSFC, Greenbelt, MD; and S. J. Talabac, R. Burns, J. Ardizzone, S. A. Wood, E. M. Kemp, G. S. Wojcik, S. L. Applegate, H. N. Kleinwaks, G. D. Emmitt, and R. Atlas
Progress toward constructing a Sensor Web Simulator (SWS), as applied to a future wind lidar mission, is discussed together with preliminary results. The motivation for the SWS is to quantify the scientific return of a meteorological application, in which a numerical forecast model objectively drives data collection. Because the design and implementation of such a complex observing system would be costly and would involve significant risk, end-to-end simulation is essential. The SWS is expected to provide information systems engineers and Earth scientists with the ability: (1) to define and model candidate designs; and (2) to quantitatively measure predictive forecast skill improvements.
The SWS will serve as a necessary trade studies tool to: (1) evaluate the impact of selecting different types and quantities of remote sensing and in-situ sensors; (2) characterize alternative platform vantage points and measurement modes; and (3) explore rules of interaction between sensors and weather forecast/data assimilation components to reduce model error growth and forecast uncertainty. Results are presented demonstrating forecast skill impact from an end-to-end simulation performed "by hand," in which key elements of the simulator were present. A status report is also provided, noting the progress toward construction and delivery of the SWS as a mission design tool in 2012.
Session 1, Experiments involving observations, real or hypothetical: data impact tests and observing system simulation experiments (OSSEs) I
Monday, 18 January 2010, 1:30 PM-2:30 PM, B207
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