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iMIRACLI SIGNED

innovative MachIne leaRning to constrain Aerosol-cloud CLimate Impacts (iMIRACLI)

Total Cost €

EC-Contrib. €

Partnership

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iMIRACLI project word cloud

Explore the words cloud of the iMIRACLI project. It provides you a very rough idea of what is the project "iMIRACLI" about.

advisor noise limitations model estimates techniques ai majority huge training cloud imiracli machine too generation hampered central earth plan learning gas mankind remote gt sectors found science computationally scientists covariability aerosol exploration employment urgent sensitivity signal academic greenhouse paris closely breakthrough difficulty climate confounding innovative disentangle limits progress community observations sensing data context relies trained constraints datasets ratios secondment clouds etn heterogeneity match sciences reductions hypothesis 100tb hence big ideas supervisors esr radically forcing ideally capitalise commercial scientific quantification interactions

Project "iMIRACLI" data sheet

The following table provides information about the project.

Coordinator	THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD Organization address address: WELLINGTON SQUARE UNIVERSITY OFFICES city: OXFORD postcode: OX1 2JD website: www.ox.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Total cost	4˙185˙717 €
EC max contribution	4˙185˙717 € (100%)
Programme	1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
Code Call	H2020-MSCA-ITN-2019
Funding Scheme	MSCA-ITN-ETN
Starting year	2020
Duration (year-month-day)	from 2020-01-01 to 2023-12-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD Organization address address: WELLINGTON SQUARE UNIVERSITY OFFICES city: OXFORD postcode: OX1 2JD website: www.ox.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (OXFORD)	coordinator	909˙517.00
2	STOCKHOLMS UNIVERSITET STOCKHOLMS UNIVERSITET Organization address address: UNIVERSITETSVAGEN 10 city: STOCKHOLM postcode: 10691 website: www.su.se contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	SE (STOCKHOLM)	participant	563˙965.00
3	EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH Organization address address: Raemistrasse 101 city: ZUERICH postcode: 8092 website: https://www.ethz.ch/de.html contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	CH (ZUERICH)	participant	562˙553.00
4	DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV Organization address address: Linder Hoehe city: KOELN postcode: 51147 website: www.dlr.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (KOELN)	participant	505˙576.00
5	UNIVERSITAET LEIPZIG UNIVERSITAET LEIPZIG Organization address address: RITTERSTRASSE 26 city: LEIPZIG postcode: 4109 website: www.uni-Ieipzig.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (LEIPZIG)	participant	505˙576.00
6	THE UNIVERSITY OF EDINBURGH THE UNIVERSITY OF EDINBURGH Organization address address: OLD COLLEGE, SOUTH BRIDGE city: EDINBURGH postcode: EH8 9YL website: www.ed.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (EDINBURGH)	participant	303˙172.00
7	UNIVERSITY COLLEGE LONDON UNIVERSITY COLLEGE LONDON Organization address address: GOWER STREET city: LONDON postcode: WC1E 6BT website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (LONDON)	participant	303˙172.00
8	ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE Organization address address: BATIMENT CE 3316 STATION 1 city: LAUSANNE postcode: 1015 website: www.epfl.ch contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	CH (LAUSANNE)	participant	281˙276.00
9	UNIVERSITAT DE VALENCIA UNIVERSITAT DE VALENCIA Organization address address: AVENIDA BLASCO IBANEZ 13 city: VALENCIA postcode: 46010 website: www.uv.es contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (VALENCIA)	participant	250˙904.00

Map

Project objective

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 cloud climate interactions in Earth Observations is thus one of the major challenges of climate science. Progress has been hampered by the difficulty to disentangle aerosol effects on clouds and climate from their covariability with confounding factors, limitations in remote sensing, very low signal-to-noise ratios as well as computationally, due to the scale of the big (>100Tb) datasets and their heterogeneity. Such big data challenges are not unique to climate science but occur across a wide range of data science applications. Innovative techniques developed by the AI and machine learning community show huge potential but have not yet found their way into climate sciences – and climate scientists are currently not trained to capitalise on these advances. The central hypothesis of IMIRACLI is that merging machine learning and climate science will provide a breakthrough in the exploration of existing datasets, and hence advance our understanding of aerosol-cloud forcing and climate sensitivity. Its innovative training plan will match each ESR with supervisors from climate and data sciences as well as a non-academic advisor and secondment and provide them with state-of-the-art data and climate science training. Partners from the non-academic sector will be closely involved in each of the projects and provide training in a commercial context. This ETN will produce a new generation of climate data scientists, ideally trained for employment in the academic and commercial sectors.

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The information about "IMIRACLI" are provided by the European Opendata Portal: CORDIS opendata.