Anomalous propagation (AP) impacts the quality of precipitation estimates and the many decisions, public safety (flood warning and evacuation, water resource management), and economic (water resource management, irrigation, agricultural health), that rely on accurate geolocated rainfall measurements.

Techniques to automatically identify and mitigate the effects of AP in the radar data have been developed and implemented in systems such as the Hydrological Decision Support System (HDSS) and the Radar Echo Classifier (REC). These techniques detect AP through its statistical properties in the radar data and remove contaminated data.

The Total Atmospheric Effects Mitigation (TAEM) system uses signals of opportunity to characterize the propagation environment. The conditions of the propagation environment are used to model the propagation of radar pulses using standard techniques such as the parabolic equation method (pem). The model can predict the anomalous propagation for various frequencies and scan configurations, thereby predicting which scan configurations will minimize the AP or alternately where AP may be located.

This paper describes the TAEM system and presents preliminary results in predicting AP in the Atlanta, GA, area correlated with the Peachtree City, GA, WSR-88D.