Given the fact that landslides usually occur after a period of heavy rainfall, a real-time landslide prediction
system can be readily transformed into an early warning system by making use of the time lag between
rainfall peak and slope failure. Therefore, success of this prototype system bears promise as an early
warning system for global landslide disaster preparedness and hazard management. Additionally, it is
possible that the warning lead-time of global landslide forecasts can be extended by using rainfall forecasts
(1-10 days) from operational numerical weather forecast models. This real-time prediction system bears the
promise to extend current local landslide hazard analyses into a global decision-making support system for
landslide disaster preparedness and mitigation activities across the world.