On the Introduction of Special Sensor Microwave Imager (SSM/I) Data into the Andes Acoustic Ambient Noise Model
Abstract:
The Special Sensor Microwave Imager SSMI provides nearly global data coverage relating to sea surface roughness once every 24 hours. A quadratic retrieval algorithm is developed that can retrieve foam coverage and root-mean- square rms wave slope statistics from the SSMI data I show how that roughness product can be interpreted as a sound source for ambient noise. The Ambient Noise Directional Estimation System ANDES is modified for demonstration purposes to accept the SSMI data in the form of maps of rms wave slope. A crude transfer function, which relates wave slope to sound source intensity, is derived using historical sonobuoy ambient noise data. Presentation graphics software is developed that presents a computer console operator with a visual display of receiver location, transmission loss contours, and ANDES omnidirectional noise results overlaying the grey-scale map of rms wave slope used to force the model.