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Showing Weather & climate Show all papers

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Mechanism-Aware Ensemble Conditioning for Data-Limited Emulation of Extreme Events

Isabella Thiel, Juan M. Bello-Rivas, Yannis Kevrekidis, Themis Sapsis

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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medium 0/10
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57%Worth a look
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OroPrecipBench: a km-scale benchmark for spatial precipitation downscaling over complex terrain

Hongyi Chen, Xiaokai Yan, Jiadong Zhang, Jingtao Ding and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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PROLA: Principal-Orthogonal Low-rank Adaptation for Predictive Spatiotemporal Weather Downscaling

Minseo Yoon, Minseong Bae, Sojin Lee, Hyunwoo J. Kim

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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2/20 AI panelreviewers recommend it

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
67%Highly rated
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PhysEval.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models

Emma Kasteleyn, Timo Maier, Axel Lauer, Veronika Eyring and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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REACT: Physically and Chemically Consistent Reconstruction of Marine Active Tracers

Wenbin Dai, Hao Zheng, Shiyu Liang, Chaofan Sun and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
76%Highly rated
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On Neural Scaling Laws for Weather Emulation through Continual Training

Minimal Swin Transformer weather emulators trained with continual training and periodic cooldowns follow predictable neural scaling laws, outperform cosine schedules, and reveal compute-optimal regimes.

Shashank Subramanian, Alexander Kiefer, Arnur Nigmetov, Amir Gholami and 2 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · Code ★ 3

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
88%Must read
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Otter Weather: Skillful and computationally-efficient medium-range weather forecasting

Otter Weather achieves state-of-the-art skill with minimal compute, outperforming NWP and frontier AI weather models using under 3.5 A100-days.

Cristiana Diaconu, Jonas Scholz, Aliaksandra Shysheya, Stratis Markou and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5
83%Must read
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Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting

Njord is a probabilistic graph neural network that produces efficient ensemble ocean forecasts via single-pass sampling, achieving lowest average upper-ocean errors globally and in the Baltic Sea.

Daniel Holmberg, Joel Oskarsson, Erik Wikingsson, Fredrik Lindsten and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5
89%Must read
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ThousandWorlds: A benchmark for climate emulation of potentially habitable exoplanets

ThousandWorlds introduces a multi-model exoplanet climate benchmark of ~1,700 GCM simulations, showing Gaussian processes outperform deep learning in low-data multi-simulator regression.

Edward Stevenson, Mei T Mak, Eric Wolf, Denis E Sergeev and 3 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026 · ▲ 1 on Hugging Face

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
89%Must read
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Scaling Storm-Resolving Atmospheric AI Simulation to the Entire Planet

STRATA is an autoregressive AI emulator for global storm-resolving atmospheric dynamics that achieves 50× better energy efficiency and stable 24-hour rollouts on limited training data.

Zeyuan Hu, Noah Brenowitz, Akshay Subramaniam, Jaideep Pathak and 8 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5