Climate risks can be classified as primary, secondary, and tertiary with increasing complexity. Tertiary risks are non-linear interactions between environmental variables that are not well known, and thus very difficult to mitigate. Tertiary impacts are often the ones with the most severe consequences to society. The project is related to the use of Natural Language Processing techniques to collect or “listen in” on the tertiary impacts that take place around the world and to build a global Climate Risk Database for future use.