Analyzing the calibration and validation support architecture for cygnss as a design problem

The Cyclone Global Navigation Satellite System (CYGNSS) is a system of satellites that are designed to measure the wind speeds of tropical cyclones. Their mission is to collect tropical cyclone data while reducing costs. Engineering problems for new technology such as CYGNSS are usually centered around the functional architecture and the design of the system. However, calibration and validation of a scientific instrument is crucial to success and should be thoroughly considered during the design phase. This project seeks to quantitatively and qualitatively analyze the current architecture for the calibration and validation support structure and recommend improvements. The quality of the cyclone wind speed data is extremely important, and a thorough systems engineering approach is necessary to find the optimal architecture for calibrating the instruments and validating the data. This project recommends seven metrics for analyzing calibration and validation architectures in the future of systems engineering-Multiplicity, Sample Size, Spatial and Temporal Sampling, Simplicity, Affordability, Responsiveness, and Scalability. Maximizing these metrics would give a more thorough and robust calibration and validation architecture as well as a greater understanding of the risks involved in future complex projects.