Abstract: An apparatus and method for predicting the impact of various weather conditions on signal quality in a satellite communication system. A first model is generated for predicting RF signal degradation, and trained with link quality metrics from selected terminals over a first time interval. A second model is generated for predicting RF signal degradation resulting from weather conditions, and trained with both the link quality metrics from the selected terminals and weather conditions over a second predetermined time interval. Real time link quality metrics are analyzed using the trained first model and the trained second model in order to identify changes in current RF signal quality. At least one recommendation is subsequently generated to indicate a cause for changes in the current RF signal quality.