Université du Québec à Montréal

Published purpose

Climate change is one of the main environmental concerns for Canadians. The largest climate uncertainty is primarily due to atmospheric water vapor, clouds and precipitations. These processes are a powerful modulator of the greenhouse effect. Currently, we have little knowledge of the global cloud properties, like ice crystal size, number concentration or their links to aerosols in cloud formation and precipitation. The project goal is to optimize the performance of the Thin Ice Clouds in Far IR Experiment (TICFIRE) instrument from field experimentations, theoretical simulations, and data assimilation. The result will provide unprecedented accuracy on important cloud variables. In time, this work will lead us to significant improvements on weather forecasting and climate processes monitoring.