Atmospheric Science - Edgentiq

Real-World Data Assimilation: Introducing the DAMBench Framework

Advancing Climate AI with Chinese Hardware: A Deep Dive into Model Migration and Optimization

Advanced AI Models Enhance Sub-seasonal Wind Speed Forecasts for Renewable Energy

STCast: Enhancing Weather Forecasting with Adaptive Boundaries and Temporal Expertise

Mapping Earth’s Clouds in 3D: A New Model for Satellite Data

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G-WindCast: Predicting 3D Wind Fields with 5G GNSS and Deep Learning

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Machine Learning Model Extends Madden-Julian Oscillation Forecasts to 35 Days

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Deep Learning Models Demonstrate Reliability in Simulating Historical Heat and Cold Wave Frequencies

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Gen AI News and Updates

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Real-World Data Assimilation: Introducing the DAMBench Framework

November 4, 2025

Advancing Climate AI with Chinese Hardware: A Deep Dive into Model Migration and Optimization

October 23, 2025

Advanced AI Models Enhance Sub-seasonal Wind Speed Forecasts for Renewable Energy

October 21, 2025