Many landslides, especially shallow failures, are triggered by heavy rainfall events. Three general approaches have been used to predict areas prone to rainfall-triggered landslides: the derivation of rainfall thresholds, the estimation of critical rainfall, and the inclusion of rainfall variables in statistical models. This session focuses on these and other approaches to incorporating rainfall into landslide modeling and prediction. We are also interested in new, innovative methods for preparing rainfall data. For example, with improvements in spatial resolution, rainfall radar has shown its potential for landslide research. We therefore solicit abstracts on this important research topic for both an oral session and poster session.