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

Risultati finali

iMIRACLI webpage online
Social-media / code aggregation on webpage

Appointment of management team
Establishment of boards and committees, inc. the Supervisory Board of the Network
iMIRACLI kick off and summer school 1 at Oxford

Pubblicazioni

Large uncertainty in future warming due to aerosol forcing

Autori: Duncan Watson-Parris; Christopher J. Smith
Pubblicato in: Nature Climate Change, 2022, ISSN 1758-678X
Editore: Nature Publishing Group
DOI: 10.1038/s41558-022-01516-0

ClimateBench: A benchmark dataset for data-driven climate projections

Autori: Duncan Watson-Parris, Yuhan Rao, Dirk Olivié, Øyvind Seland, Peer J Nowack, Gustau Camps-Valls, Philip Stier, Shahine Bouabid, Maura Dewey, Emilie Fons, Jessenia Margarita Marina Gonzalez, Paula Harder, Kai Jeggle, Julien Lenhardt, Peter Manshausen, Maria Novitasari, Lucile Ricard, Carla Roesch
Pubblicato in: Journal of Advances in Modeling Earth Systems, 2022, ISSN 1942-2466
Editore: American Geophysical Union
DOI: 10.1002/essoar.10509765.2

Invisible ship tracks show large cloud sensitivity to aerosol

Autori: Peter Manshausen, Duncan Watson-Parris, Matthew W. Christensen, Jukka-Pekka Jalkanen, Philip Stier
Pubblicato in: Nature, 2022, ISSN 1476-4687
Editore: Nature Publishing Group
DOI: 10.1038/s41586-022-05122-0

Pollution tracker: Finding industrial sources of aerosol emission in satellite imagery

Autori: Peter Manshausen, Duncan Watson-Parris, Lena Wagner, Pirmin Maier, Sybrand J. Muller, Gernot Ramminger and Philip Stier
Pubblicato in: Environmental Data Science, 2023, ISSN 2634-4602
Editore: Cambridge University Press
DOI: 10.1017/eds.2023.20

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