Awesome physics.ao-ph

PEAR: Equal Area Weather Forecasting on the Sphere (2025)

Hampus Linander et al.

5.70

Constructing Extreme Heatwave Storylines with Differentiable Climate Models (2025)

Tim Whittaker and Alejandro Di Luca

5.40

PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models (2026)

Emma Kasteleyn et al.

4.33

Towards a Foundation Model for the Martian Atmosphere (2026)

Sujit Roy et al.

4.27

Global Forecasting of Tropical Cyclone Intensity Using Neural Weather Models (2025)

Milton Gomez et al.

3.92

Neural Dynamic Modes: Computational Imaging of Dynamical Systems from Sparse Observations (2025)

Ali SaraerToosi et al.

3.86

Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models (2025)

Amirmoez Jamaat et al.

3.59

Regional climate risk assessment from climate models using probabilistic machine learning (2024)

Zhong Yi Wan et al.

3.26

Prior-matched evaluation of operational Earth-observation classifiers: a three-number reporting method demonstrated on Sentinel-1 internal-wave detection (2026)

Jo\~ao Pinelo et al.

2.00

Atmospheric Diffusion-Guided Spatio-Temporal Transformer for Nuclear Radiation Forecasting (2026)

Tengfei Lyu et al.

2.00

Zhinv: Real-time hub-height wind field reconstruction using only local sparse observations (2026)

Zongwei Zhang et al.

2.00

Multi-Sensor Alignment for Weather Simulations (2026)

Samsad Alam et al.

2.00

From Deterministic to Generative Deep Learning for Urban Air Quality Reconstruction from Sparse Observations (2026)

Abhishek A. Sabnis et al.

2.00

DRIFT: Direct-Recursive Intervention-Conditioned Forecasting of ICU Physiological Trajectories (2026)

Weixin Liu et al.

2.00

FLUXtrapolation: A benchmark on extrapolating ecosystem fluxes (2026)

Anya Fries et al.

1.89

Forecasting Ionospheric Irregularities on GNSS Lines of Sight Using Dynamic Graphs with Ephemeris Conditioning (2026)

Mert Can Turkmen et al.

1.83

Physics-Informed Diffusion Model for Generating Synthetic Extreme Rare Weather Events Data (2026)

Marawan Yakout et al.

1.78

Data-driven ensemble prediction of the global ocean (2026)

Qiusheng Huang et al.

1.78

Operational evaluation of data-driven forest fire forecasting models (2026)

Shahbaz Alvi et al.

1.78

Searth Transformer: A Transformer Architecture Incorporating Earth's Geospheric Physical Priors for Global Mid-Range Weather Forecasting (2026)

Tianye Li et al.

1.67

Physics Informed Reconstruction of Four-Dimensional Atmospheric Wind Fields Using Multi-UAS Swarm Observations in a Synthetic Turbulent Environment (2026)

Abdullah Tasim and Wei Sun

1.67

Balancing Accuracy and Speed: A Multi-Fidelity Ensemble Kalman Filter with a Machine Learning Surrogate Model (2025)

Jeffrey van der Voort et al.

1.61

Interactive Atmospheric Composition Emulation for Next-Generation Earth System Models (2025)

Seyed Mohammad Hassan Erfani et al.

1.50

Probabilistic Super-Resolution for Urban Micrometeorology via a Schr\"odinger Bridge (2025)

Yuki Yasuda and Ryo Onishi

1.50

Extreme Event Aware ($\eta$-) Learning (2025)

Kai Chang et al.

1.50

Long-Term PM2.5 Forecasting Using a DTW-Enhanced CNN-GRU Model (2025)

Amirali Ataee Naeini et al.

1.50

Enhanced predictions of the Madden-Julian oscillation using the FuXi-S2S machine learning model: Insights into physical mechanisms (2025)

Can Cao et al.

1.39

Discovering the dynamics of \emph{Sargassum} rafts' centers of mass (2025)

Francisco J. Beron-Vera and Gage Bonner

1.33

Probing forced responses and causality in data-driven climate emulators: conceptual limitations and the role of reduced-order models (2025)

Fabrizio Falasca

1.28

A Deep Learning Framework for Two-Dimensional, Multi-Frequency Propagation Factor Estimation (2025)

Sarah E. Wessinger et al.

1.22

FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling (2025)

Qiusheng Huang et al.

1.11

Interpretable Cross-Sphere Multiscale Deep Learning Predicts ENSO Skilfully Beyond 2 Years (2025)

Rixu Hao et al.

1.11

Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting (2025)

Guang Zhao et al.

1.11

Multi-Year-to-Decadal Temperature Prediction using a Machine Learning Model-Analog Framework (2025)

M. A. Fernandez and Elizabeth A. Barnes

1.06

A-UTE: Advection Informed, Uncertainty Aware Temperature Emulator (2024)

Hira Saleem et al.

0.89

Surface solar radiation: AI satellite retrieval can outperform Heliosat and generalizes well to other climate zones (2024)

K. R. Schuurman and A. Meyer

0.83

Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning (2024)

Philipp Hess et al.

0.50

Evaluation of electrical efficiency of photovoltaic thermal solar collector (2020)

Mohammad Hossein Ahmadi et al.

—

Machine learning emulation of a local-scale UK climate model (2022)

Henry Addison et al.

—

Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data (2023)

Svenja Ehlers et al.

—

Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling (2023)

Qidong Yang et al.

—

Machine Learning based Parameter Sensitivity of Regional Climate Models -- A Case Study of the WRF Model for Heat Extremes over Southeast Australia (2023)

P. Jyoteeshkumar Reddy et al.

—

Robust Ocean Subgrid-Scale Parameterizations Using Fourier Neural Operators (2023)

Victor Mangeleer and Gilles Louppe

—

Machine Learning Parameterization of the Multi-scale Kain-Fritsch (MSKF) Convection Scheme (2023)

Xiaohui Zhong and Xing Yu and Hao Li

—

Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence (2023)

Rambod Mojgani and Daniel Waelchli and Yifei Guan and Petros Koumoutsakos and Pedram Hassanzadeh

—

Estimation of AMOC transition probabilities using a machine learning based rare-event algorithm (2024)

Val\'erian Jacques-Dumas et al.

—

Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning (2024)

Spiridon Kasapis et al.

—

Optimized Dynamic Mode Decomposition for Reconstruction and Forecasting of Atmospheric Chemistry Data (2024)

Meghana Velegar et al.

—

Towards diffusion models for large-scale sea-ice modelling (2024)

Tobias Sebastian Finn et al.

—

A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics (2024)

Junqi Yin et al.

—

Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators (2024)

Marieke Wesselkamp et al.

—

Harnessing AI data-driven global weather models for climate attribution: An analysis of the 2017 Oroville Dam extreme atmospheric river (2024)

Jorge Ba\~no-Medina and Agniv Sengupta and Allison Michaelis and Luca Delle Monache and Julie Kalansky and Duncan Watson-Parris

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Awesome physics.ao-ph

Datasets & benchmarks

Key papers

physics.ao-ph

Awesome physics.ao-ph

Datasets & benchmarks

Key papers