CORDIS Project
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This project aims to enhance climate models by developing a framework to better estimate the impact of aerosol particles on cloud properties. By creating fast surrogate models, it seeks to improve the accuracy of climate predictions on a global scale.
I propose to develop an innovative interdisciplinary model framework to refine the estimate of aerosol indirect effect (i.e. influence of atmospheric aerosol particles on cloud properties), which remains the single largest uncertainty in the current drivers of climate change. A major reason for this uncertainty is that current climate models are unable to resolve the spatial scales for aerosol-cloud interactions.
We will resolve this scale problem by using statistical emulation to build computat…
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