Probabilistic Risk Modelling Review
CLIMADA is a software tool designed to model natural disasters and their impacts on human populations, infrastructure, and the environment[1]. It combines climate and weather data, demographic and infrastructure information, and geospatial data to simulate the impact of various natural disasters, such as floods, hurricanes, and wildfires. CLIMADA is used by decision-makers, planners, and researchers to assess the potential risk and impact of natural disasters on a particular region and to evaluate different mitigation and adaptation strategies[2]. Its goal is to provide information to help decision-makers better prepare for and respond to natural disasters. CLIMADA provides coverage for extreme-weather hazards, not low-impact ones.
Low-Impact High-Frequency Events
Our project functionality primarily lies within the impact prediction of low-impact hazardous events, as such while trying to find the state-of-the-art for it, we realised that there aren’t any ones in full-scale usage[3, 4]. Although CLIMADA is well documented, given the complexity of the model, it is very difficult to use as it does not contain video tutorials or a sophisticated user manual, especially when trying to develop new functions on it. Moreover, the exceedance calculation of CLIMADA relied on the frequency of events directly from data, which is not included in our data source. As such, we decided to create a simple, easy-to-use model to allow global coverage.