Cover Image

Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Narayanan, Anushka, Bergen, Karianne J.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Prototype-based Explainable Neural Networks with Channel-specific Reasoning for Geospatial Learning Tasks
by: Narayanan, Anushka, et al.
Published: (2026)

Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening
by: Kurchaba, Solomiia, et al.
Published: (2026)

Using Explainable AI and Transfer Learning to understand and predict the maintenance of Atlantic blocking with limited observational data
by: Zhang, Huan, et al.
Published: (2024)

When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges
by: Hadid, Abdenour, et al.
Published: (2024)

Site-specific Deterministic Temperature and Humidity Forecasts with Explainable and Reliable Machine Learning
by: Han, MengMeng, et al.
Published: (2024)

Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach
by: Sun, Yixuan, et al.
Published: (2024)

Uncertainty Quantification of Wind Gust Predictions in the Northeast United States: An Evidential Neural Network and Explainable Artificial Intelligence Approach
by: Jahan, Israt, et al.
Published: (2025)

Probabilistic Joint Recovery Method for CO$_2$ Plume Monitoring
by: Deng, Zijun, et al.
Published: (2025)

Ensembles of Neural Surrogates for Parametric Sensitivity in Ocean Modeling
by: Sun, Yixuan, et al.
Published: (2025)

Physics Guided Machine Learning Methods for Hydrology
by: Khandelwal, Ankush, et al.
Published: (2020)

Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting
by: Zhao, Guang, et al.
Published: (2025)

Samudra: An AI Global Ocean Emulator for Climate
by: Dheeshjith, Surya, et al.
Published: (2024)

A Practical Probabilistic Benchmark for AI Weather Models
by: Brenowitz, Noah D., et al.
Published: (2024)

Enhancing AI and Dynamical Subseasonal Forecasts with Probabilistic Bias Correction
by: Guan, Hannah, et al.
Published: (2026)

Discovering strategies for coastal resilience with AI-based prediction and optimization
by: Markowitz, Jared, et al.
Published: (2025)

Power Ensemble Aggregation for Improved Extreme Event AI Prediction
by: Collard, Julien, et al.
Published: (2025)

Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán
by: Charlton-Perez, Andrew J., et al.
Published: (2023)

YanTian: An Application Platform for AI Global Weather Forecasting Models
by: Cheng, Wencong, et al.
Published: (2024)

PDE foundation models are skillful AI weather emulators for the Martian atmosphere
by: Schmude, Johannes, et al.
Published: (2026)

A Synergistic Approach: Dynamics-AI Ensemble in Tropical Cyclone Forecasting
by: Li, Yonghui, et al.
Published: (2026)

An AI-driven framework for the prediction of personalised health response to air pollution
by: Zounemat-Kermani, Nazanin, et al.
Published: (2025)

Can AI weather models predict out-of-distribution gray swan tropical cyclones?
by: Sun, Y. Qiang, et al.
Published: (2024)

StretchCast: Global-Regional AI Weather Forecasting on Stretched Cubed-Sphere Mesh
by: Feng, Jin
Published: (2026)

An Analytical and AI-discovered Stable, Accurate, and Generalizable Subgrid-scale Closure for Geophysical Turbulence
by: Jakhar, Karan, et al.
Published: (2025)

Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? An Intercomparison for Temperature and Precipitation over Spain
by: González-Abad, Jose, et al.
Published: (2024)

AI Models Still Lag Behind Traditional Numerical Models in Predicting Sudden-Turning Typhoons
by: Xu, Daosheng, et al.
Published: (2025)

Advancing Seasonal Prediction of Tropical Cyclone Activity with a Hybrid AI-Physics Climate Model
by: Zhang, Gan, et al.
Published: (2025)

OMG-HD: A High-Resolution AI Weather Model for End-to-End Forecasts from Observations
by: Zhao, Pengcheng, et al.
Published: (2024)

Lightning-Fast Convective Outlooks: Predicting Severe Convective Environments with Global AI-based Weather Models
by: Feldmann, Monika, et al.
Published: (2024)

Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracy
by: Giaremis, Stefanos, et al.
Published: (2024)

AI-informed model-analogs for understanding subseasonal-to-seasonal jet stream and North American temperature predictability
by: Landsberg, Jacob B., et al.
Published: (2025)

Benchmarking atmospheric circulation variability in an AI emulator, ACE2, and a hybrid model, NeuralGCM
by: Baxter, Ian, et al.
Published: (2025)

MAUSAM: An Observations-focused assessment of Global AI Weather Prediction Models During the South Asian Monsoon
by: Gupta, Aman, et al.
Published: (2025)

Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models
by: Martin, Scott A., et al.
Published: (2025)

Finetuning AI Foundation Models to Develop Subgrid-Scale Parameterizations: A Case Study on Atmospheric Gravity Waves
by: Gupta, Aman, et al.
Published: (2025)

Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts
by: Lehmann, Fanny, et al.
Published: (2026)

Recommendations for Comprehensive and Independent Evaluation of Machine Learning-Based Earth System Models
by: Ullrich, Paul A., et al.
Published: (2024)

Can AI be enabled to dynamical downscaling? A Latent Diffusion Model to mimic km-scale COSMO5.0\_CLM9 simulations
by: Tomasi, Elena, et al.
Published: (2024)

SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland
by: Assouline, Dan, et al.
Published: (2026)

A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling
by: González-Abad, Jose
Published: (2024)