Outputs

This page will showcase our latest consortium outputs, including open data, publication links, and other results. Check back for updates, and in the meantime feel free to connect with us on Twitter or LinkedIn, or join our mailing list by emailing the project manager

Air pollution cools climate more than expected - this makes cutting carbon emissions more urgent

Peter Manshausen, Duncan Watson-Parris, Philip Stier

Anthropogenic aerosol impact on (sub-)tropical precipitation patterns over the past century

Carla Roesch, Andrew Schurer, Andrew Ballinger, Gabriele Hegerl

Causal Orthogonal Functions: A Causal Inference approach to temporal feature extraction

Nicolas Reiter, Jakob Runge, and Andreas Gerhardus

Climate model emulators: development and potential applications

Maura Dewey

ClimateBench: A benchmark dataset for data-driven climate projections

D Watson-Parris, Y Rao, D Olivié, O Seland, P Nowack, G Camps-Valls, P Stier, S Bouabid, M Dewey, E Fons, J Gonzalez, P Harder, K Jeggle, J Lenhardt, P Manshausen, M Novitasari, L Ricard, C Roesch

Combining cloud properties and synoptic observations to predict cloud base height using Machine Learning

Julien Lenhardt, Johannes Quaas, Dino Sejdinovic

Deconditional Downscaling with Gaussian Processes

Siu Lun Chao, Shahine Bouabid, Dino Sejdinovic

Exploring cirrus cloud microphysical properties using explainable machine learning

Kai Jeggle, David Neubauer, Gustau Camps-Valls, Hanin Binder, Michael Sprenger, and Ulrike Lohmann

Exploring microphysical properties of marine boundary layer clouds through network analysis

Lucile Ricard, Athanasios Nenes, Jakob Runge, and Paraskevi Georgakaki

iMIRACLI on GitHub

Visit the iMIRACLI GitHub organisation, where we will be hosting code produced by the network

Influence of clouds and precipitation on sub-micron aerosol number size distributions in the tropical atmosphere

Théodore Khadir, R. Krejci, Annica Ekmann, Miguel Rodrigues, Paolo Artaxo, Luciana Varanda Rizzo, Marco Aurélio Franco, Christopher Pöhlker, and Ilona Riipinen

Invisible Ship Tracks as Opportunistic Experiments for Aerosol Cloud Interactions

Peter Manshausen, Duncan Watson-Parris, Matthew Christensen, Jukka-Pekka Jalkanen, and Philip Stier

Large uncertainty in future warming due to aerosol forcing

D Watson-Parris, C J Smith

Looking for convective invigoration in the Southern Great Plains with causal inference

Peter Manshausen

Machine learning to quantify cloud responses to aerosols from satellite data

Jessenia Gonzalez, Odran Sourdeval, Gustau Camps-Valls, and Johannes Quaas

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

Peter Manshausen, Duncan Watson-Parris, Lena Wagner, Pirmin Maier, Sybrand J. Muller, Gernot Ramminger and Philip Stier

Reconstructing Aerosol Vertical Profiles with Aggregate Output Learning

Sofija Stefanovic, Shahine Bouabid, Philip Stier, Athanasios Nenes

Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific

Andrew Jesson, Peter Manshausen, Alyson Douglas, Duncan Watson-Parris, Yarin Gal, and Philip Stier

Using temperature and precipitation combined to detect and attribute aerosol effects on large-scale climate