Simulation-Based Performance Evaluation of Adaptive Scan for Spaceborne Rain Radar

Abstract

The performance of the adaptive scan for spaceborne rain radar, which uses a quick scan for rain search followed by a normal or con-centrated scan only for rainy areas, are studied through a simulation using TRMM (Tropical Rainfall Measuring Mission) Precipitation Radar (PR) data. Trade-off studies are performed to find an optimum quick-scan and rain search method to minimize rain missing and false alarm of rain area. Using the optimum method thus determined, consecutive 8-day TRMM PR data are used to statistically evaluate the performance of the adaptive scan in terms of sensitivity improvement and power consumption saving. It is shown that more than 3-dB improvement in effective signal-to-noise ratio (SN_e) can be achieved for 40% of the total observations. Alternatively, about 26% power saving can be achieved if the SN_e is kept the same.