Duncan Watson-Parris
Assistant Professor
Applies machine learning to represent aerosols and clouds in climate models.
Duncan Watson-Parris's lab at UCSD works on physics, climate & scientific computing and data management & big data. 40 papers since 2023, 7 at top venues, mostly ICML and ICLR. 4 PhD students and 3 master's students. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 10/ year
- at T1 venues
- 18%
- PhD students
- 4
- MS students
- 3
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 8 papers2026 · T1 3 · collecting
- 16 papers2025 · T1 2
- 11 papers2024 · T1 2
- 5 papers2023 · T1 0
T1 venuesOtherVenues: ICML, ICLR, CVPR, npj Climate and Atmospheric Science
Research focuspaper titles that use each topic's words
- Physics, climate & scientific computing16 papers
- climate14 papers
- clouds4 papers
- Data management & big data3 papers
- represent0 papers
Paper list
From the lab homepage.
20268 papers
- Geoscientific Model DevelopmentAerChemMIP2 – unraveling the role of reactive gases, aerosol particles, and land use for air quality and climate change in CMIP7 (opens in a new tab)
- Machine Learning: EarthCalibration of Climate Model Parameterizations Using Bayesian Experimental Design (opens in a new tab)
- EGUsphereJCM v1.0: A Differentiable, Intermediate-Complexity Atmospheric Model (opens in a new tab)
- Bulletin of the American Meteorological SocietyObservational Data for Next-Generation Climate Model Evaluation: Requirements, Considerations, and Best Practices (opens in a new tab)
- CVPR (T1)Spatiotemporal Pyramid Flow Matching for Climate Emulation (opens in a new tab)
- ICML (T1)U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster (opens in a new tab)
- Atmospheric Chemistry and PhysicsUncertainty in Aerosol Effective Radiative Forcing from Anthropogenic and Natural Aerosol Parameters in ECHAM6.3-HAM2.3 (opens in a new tab)
- ICLR (T1)Zephyrus: An Agentic Framework for Weather Science (opens in a new tab)
202516 papers
- ICML (T1)Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation (opens in a new tab)
- e2025JH000741AeroGP: Machine Learning How Aerosols Impact Regional Climate, Journal of Geophysical Research: Machine Learning and Computation, 2 (opens in a new tab)
- npj Climate and Atmospheric ScienceAre AI weather models learning atmospheric physics? A sensitivity analysis of cyclone Xynthia (opens in a new tab)
- Atmospheric Chemistry and PhysicsBiomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories (opens in a new tab)
- ICML (T1)Discovering Latent Causal Graphs from Spatiotemporal Data (opens in a new tab)
- Wearable and Ubiquitous TechnologiesForecasting Occupational Survivability of Rickshaw Pullers in a Changing Climate with Wearable Data, Proceedings of the ACM on Interactive, Mobile (opens in a new tab)
- Atmospheric Chemistry and PhysicsHow well are aerosol–cloud interactions represented in climate models? – Part 2: Isolating the aerosol impact on clouds following the 2014–2015 Holuhraun eruption (opens in a new tab)
- e2024GL114269Integrating Top-Down Energetic Constraints With Bottom-Up Process-Based Constraints for More Accurate Projections of Future Warming, Geophysical Research Letters, 52 (opens in a new tab)
- Atmospheric Chemistry and PhysicsOpinion: Why all emergent constraints are wrong but some are useful – a machine learning perspective (opens in a new tab)
- Atmospheric Chemistry and PhysicsRegional variability of aerosol impacts on clouds and radiation in global kilometer-scale simulations (opens in a new tab)
- Atmospheric Chemistry and PhysicsSurface temperature effects of recent reductions in shipping SO_\textrm2 emissions are within internal variability (opens in a new tab)
- e2024MS004619The Impact of Internal Variability on Benchmarking Deep Learning Climate Emulators, Journal of Advances in Modeling Earth Systems, 17 (opens in a new tab)
202411 papers
- Environmental Data ScienceAerosol optical depth disaggregation: toward global aerosol vertical profiles (opens in a new tab)
- Geoscientific Model DevelopmentAn extensible perturbed parameter ensemble for the Community Atmosphere Model version 6 (opens in a new tab)
- e2024GL108663Buffering of Aerosol-Cloud Adjustments by Coupling Between Radiative Susceptibility and Precipitation Efficiency, Geophysical Research Letters, 51 (opens in a new tab)
- ICLR (T1)ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models (opens in a new tab)
- e2023MS003926FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation, Journal of Advances in Modeling Earth Systems, 16 (opens in a new tab)
- N.Y.)Glaciation of liquid clouds, snowfall, and reduced cloud cover at industrial aerosol hot spots., Science (New York (opens in a new tab)
- e2024GL109077Has Reducing Ship Emissions Brought Forward Global Warming?, Geophysical Research Letters, 51 (opens in a new tab)
- Atmospheric Chemistry and PhysicsHow well are aerosol–cloud interactions represented in climate models? – Part 1: Understanding the sulfate aerosol production from the 2014–15 Holuhraun eruption (opens in a new tab)
- Geoscientific Model DevelopmentInteractions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP (opens in a new tab)
- ICML (T1)Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling (opens in a new tab)
- e2024JD040857The Interaction Between Climate Forcing and Feedbacks, Journal of Geophysical Research: Atmospheres, 129 (opens in a new tab)
20235 papers
- Journal of ClimateDependence of fast changes in global and local precipitation on the geographical location of absorbing aerosol (opens in a new tab)
- Artificial Intelligence for the Earth SystemsExploring Randomly Wired Neural Networks for Climate Model Emulation (opens in a new tab)
- Atmospheric Chemistry and PhysicsIdentifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing (opens in a new tab)
- Environmental Data SciencePollution tracker: Finding industrial sources of aerosol emission in satellite imagery (opens in a new tab)
- Atmospheric Chemistry and PhysicsRapid saturation of cloud water adjustments to shipping emissions (opens in a new tab)
Where alumni went4 listed
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- USGeorgia Tech
Xiuwei Zhang
- Genomics & computational biology
- CHETH Zurich
Benedikt Soja
- Physics, climate & scientific computing
- USUW
Shwetak Patel
- Medical imaging & healthcare AI
- USGeorgia Tech
Suhas Jain
- Physics, climate & scientific computing
- GBCambridge
Emily Shuckburgh
- Physics, climate & scientific computing
- USUT Austin
Hao Zhu
- Physics, climate & scientific computing
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
UCSDcloses