Cumulo: A Dataset for Learning Cloud Classes. - Valentina Zantedeschi; Fabrizio Falasca; Alyson Douglas; Richard Strange; Matt J. Kusner; Duncan Watson-Parris (CoRR, 2019)

Detecting anthropogenic cloud perturbations with deep learning. - Duncan Watson-Parris; Samuel Sutherland; Matthew Christensen; Anthony L. Caterini; Dino Sejdinovic; Philip Stier (CoRR, 2019)

The 2020 Climate Informatics Hackathon: Generating Nighttime Satellite Imagery from Infrared Observations. - William K. Jones; Redouane Lguensat; Anastase Alexandre Charantonis; Duncan Watson-Parris (CI, 2020)

Up to two billion times acceleration of scientific simulations with deep neural architecture search. - Muhammad Firmansyah Kasim; Duncan Watson-Parris; Lucia Deaconu; Sophy Oliver; Peter W. Hatfield; Dustin H. Froula; Gianluca Gregori; Matt Jarvis; Samar Khatiwala; Jun Korenaga; Jacob Topp-Mugglestone; Eleonora Viezzer; et al. (CoRR, 2020)

NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations. - Paula Harder; William K. Jones; Redouane Lguensat; Shahine Bouabid; James Fulton; Dánell Quesada-Chacón; Aris Marcolongo; Sofija Stefanovic; Yuhan Rao; Peter Manshausen; Duncan Watson-Parris (CoRR, 2020)

RainBench: Towards Global Precipitation Forecasting from Satellite Imagery. - Christian Schröder de Witt; Catherine Tong; Valentina Zantedeschi; Daniele De Martini; Freddie Kalaitzis; Matthew Chantry; Duncan Watson-Parris; Piotr Bilinski (CoRR, 2020)

RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery. - Christian Schröder de Witt; Catherine Tong; Valentina Zantedeschi; Daniele De Martini; Alfredo Kalaitzis; Matthew Chantry; Duncan Watson-Parris; Piotr Bilinski (AAAI, 2021)

Emulating Aerosol Microphysics with Machine Learning. - Paula Harder; Duncan Watson-Parris; Dominik Strassel; Nicolas R. Gauger; Philip Stier; Janis Keuper (CoRR, 2021)

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; Philip Stier (CoRR, 2021)

Physics-Informed Learning of Aerosol Microphysics. - Paula Harder; Duncan Watson-Parris; Philip Stier; Dominik Strassel; Nicolas R. Gauger; Janis Keuper (CoRR, 2022)

Identifying the Causes of Pyrocumulonimbus (PyroCb). - Emiliano Díaz Salas-Porras; Kenza Tazi; Ashwin Braude; Daniel Okoh; Kara D. Lamb; Duncan Watson-Parris; Paula Harder; Nis Meinert (CoRR, 2022)

Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds. - Kenza Tazi; Emiliano Díaz Salas-Porras; Ashwin Braude; Daniel Okoh; Kara D. Lamb; Duncan Watson-Parris; Paula Harder; Nis Meinert (CoRR, 2022)

Exploring Randomly Wired Neural Networks for Climate Model Emulation. - William Yik; Sam J. Silva; Andrew Geiss; Duncan Watson-Parris (CoRR, 2022)

Building high accuracy emulators for scientific simulations with deep neural architecture search. - Muhammad Firmansyah Kasim; Duncan Watson-Parris; Lucia Deaconu; Sophy Oliver; Peter W. Hatfield; Dustin H. Froula; Gianluca Gregori; Matt Jarvis; Samar Khatiwala; Jun Korenaga; Jacob Topp-Mugglestone; Eleonora Viezzer; et al. (Mach. Learn. Sci. Technol., 2022)

Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling. - Ruijia Niu; Dongxia Wu; Kai Kim; Yian Ma; Duncan Watson-Parris; Rose Yu (ICML, 2024)

CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds. - Muhammad Ahmed Chaudhry; Lyna Kim; Jeremy Irvin; Yuzu Ido; Sonia Chu; Jared Thomas Isobe; Andrew Y. Ng; Duncan Watson-Parris (CoRR, 2024)

The impact of internal variability on benchmarking deep learning climate emulators. - Björn Lütjens; Raffaele Ferrari; Duncan Watson-Parris; Noelle Selin (CoRR, 2024)

Harnessing AI data-driven global weather models for climate attribution: An analysis of the 2017 Oroville Dam extreme atmospheric river. - Jorge Baño-Medina; Agniv Sengupta; Allison Michaelis; Luca Delle Monache; Julie Kalansky; Duncan Watson-Parris (CoRR, 2024)

ClimaQA: An Automated Evaluation Framework for Climate Foundation Models. - Veeramakali Vignesh Manivannan; Yasaman Jafari; Srikar Eranky; Spencer Ho; Rose Yu; Duncan Watson-Parris; Yian Ma; Leon Bergen; Taylor Berg-Kirkpatrick (CoRR, 2024)

Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation. - Bohan Lyu 001; Yadi Cao; Duncan Watson-Parris; Leon Bergen; Taylor Berg-Kirkpatrick; Rose Yu (CoRR, 2024)

Discovering Latent Structural Causal Models from Spatio-Temporal Data. - Kun Wang; Sumanth Varambally; Duncan Watson-Parris; Yi-An Ma; Rose Yu (CoRR, 2024)

ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models. - Veeramakali Vignesh Manivannan; Yasaman Jafari; Srikar Eranky; Spencer Ho; Rose Yu; Duncan Watson-Parris; Yian Ma; Leon Bergen; Taylor Berg-Kirkpatrick (ICLR, 2025)