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About the Atmosphere/ML Workshop 2026 Abstracts category
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12
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16 July 2026
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Terry O'Kane: Novel neural operator and transformer architectures for climate prediction
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41
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3 August 2026
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Andrew Zammit Mangion: Physics-based machine learning models for spatio-temporal forecasting
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42
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16 July 2026
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Yue Sun: Scaling AI for Earth Science: Deployment, Extension and Evaluation of Zephyrus on Gadi
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21
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16 July 2026
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Harun Rashid: Assessing Australian rainfall teleconnections using linear and machine learning models
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26
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16 July 2026
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Mengmeng HAN: Infusing deep-learning model with domain knowledge for better surface wind nowcasting
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22
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16 July 2026
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Ajitha Cyriac: Validating satellite-derived data for sea surface temperature downscaling using machine learning
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15
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16 July 2026
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Stephanie Contardo: A machine-learning and process-based hybrid workflow for shoreline position prediction
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0
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20
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16 July 2026
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Huidong (Warren) Jin: Machine Learning for High-Resolution Long-Range Daily Rainfall Forecasts from ACCESS-S2
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18
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16 July 2026
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Rick de Kreij: Statistical inversion of surface tracers to infer fine-scale near-surface ocean currents
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16
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16 July 2026
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David Fuchs: Plugging Pytorch to an atmospheric model the TorchClim way
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0
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23
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16 July 2026
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Yiyi Guo: Distributional Bias Correction for Madden-Julian Oscillation Forecast
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0
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21
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16 July 2026
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Eun-Pa Lim: Ozone – an untapped source of subseasonal to seasonal forecast predictability
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0
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28
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16 July 2026
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Steve Petrie: Mapping carbon uptake with high accuracy across different agricultural land cover types
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18
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16 July 2026
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Samuel Green: TRACE: Transformer Reanalysis Atmospheric Compression Engine for MERRA2
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0
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14
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16 July 2026
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Kit Calcraft: A Generalised Data-Driven Shoreline Model at the Regional Scale
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0
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13
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16 July 2026
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Lachlan Astfalck: FlowGP: Physically Coherent ML for Probabilistic Field Reconstruction
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19
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16 July 2026
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Vassili Kitsios: Physics-constrained climate emulator of the coupled global atmosphere, land, ocean and sea-ice Earth system
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0
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20
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16 July 2026
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CHAOJIAO SUN: Deep learning projections of coral bleaching risk: will the 2024–25 Ningaloo marine heatwave become the new normal?
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0
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24
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16 July 2026
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Hongyan Zhu: Tropical Cyclone simulations: Machine learning versus physical model
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27
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16 July 2026
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Chen Li: Assessment of Global Data-Driven Models for Weather and Sub‑Seasonal Prediction over Australia
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0
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19
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16 July 2026
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Maruf Ahmed: Evaluation of NVIDIA H200 GPUs for training Large-scale AI/ML models at NCI
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0
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19
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16 July 2026
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Carl Doedens: Solar nowcasting with latent diffusion and XGBoost: assessing feature importance and evaluation in different environments
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0
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19
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16 July 2026
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Yuan Zhuang: Evaluating Geo-Foundation Model Embeddings for Wildfire Risk Assessment
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0
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38
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16 July 2026
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Ying-Ping Wang: Applications of machine learning to improve global soil carbon predictions for Earth system models
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0
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20
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16 July 2026
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Peter Oke: A data-driven approach for mesoscale ocean forecasting
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0
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27
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16 July 2026
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David Lee: Data driven thermodynamically consistent moist phase exchanges for atmospheric convection
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27
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16 July 2026
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Hung Luu: Can we test machine learning models without ground truth?
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0
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50
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16 July 2026
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Husnain Asif: Shared Latent Representations for Kilometer-Scale Multivariate Climate Fields
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0
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20
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16 July 2026
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Reza Nosratpour: Analysis of Extreme Precipitation Pathways using Climate Networks and Tail Dependence Coefficient
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0
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19
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16 July 2026
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