CORDIS Project
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IMIRACLI aims to merge machine learning with climate science to better understand aerosol-cloud interactions and their effects on climate. The project focuses on training researchers to utilize advanced data techniques in climate studies.
Climate change is one of the most urgent problems facing mankind.
Implementation of the Paris climate agreement relies on robust scientific evidence.
Yet, the uncertainty of non-greenhouse gas forcing associated with aerosol-cloud interactions limits our constraints on climate sensitivity.
Radically new ideas are required.
While the majority of forcing estimates are model based, model uncertainties remain too large to achieve the required uncertainty reductions.
The quantification of aerosol cl…
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Germany, Leipzig
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Sweden, Stockholm
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Switzerland, Zuerich
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
United Kingdom, Edinburgh
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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