The SWS is an analytical tool that will provide scientists and engineers with the ability to define, model, and objectively assess alternative sensor web observing system designs, and to quantitatively measure any anticipated improvement in numerical weather prediction forecast skill. Our team has selected three future earth science missions recommended by the National Research Council's Decadal Survey report (XOVWM, 3D-Winds, and PATH), and NOAA's next generation meteorological satellite (GOES-R). These missions will serve as a hypothetical sensor web observing system with which we will perform Observing System Simulation Experiments (OSSEs) for a hurricane use case scenario that we have developed. The SWS software application we are developing leverages NASA's extensive experience in the development and application of OSSE software, and the integration of off-the-shelf simulation software with custom developed applications. Using the SWS, it will be possible to objectively answer questions such as: What measurable improvement to the forecast process might be realized if the number and types of observing system platforms remain the same, but the rules of interaction between sensors and the modeling/data assimilation systems are modified to facilitate dynamic reconfiguration and targeted measurements?
We will present our progress to date including: (i) a hurricane scenario that serves as our use case to test the SWS software; (ii) the methods used to create realistic synthetic instrument measurement data representative of the selected Decadal Survey mission instruments and the GOES-R instrument; and (iii) the results of several OSSEs we will execute using various combinations of spacecraft and instrument measurement modes.