Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.
A range of national meteorological services across Europe and ECMWF have launched Anemoi, a framework for creating machine learning (ML) weather forecasting systems. Named after the Greek gods of the ...
Morning Overview on MSN
New AI model aims to improve seasonal drought forecasts
Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...
How Earth-2 uses AI and GPU hardware to make forecasts. Weather-pattern simulations created with Nvidia’s Omniverse. How GraphCast predicts weather a week-plus in advance. NVIDIA developed an AI ...
The peer-reviewed research, published in npj Climate and Atmospheric Science, assesses the viability of applying a machine learning (ML) weather model to global seasonal forecasts, which are vital for ...
This study was led by Professor Qi Zhong and Professor Xiuping Yao from the China Meteorological Administration Training Center, and Assistant Engineer Zhicha Zhang from the Zhejiang Meteorological ...
Meteorologists and other environmental scientists rely on numerical forecast models to aid in developing a weather outlook. These models, such as the American GFS model and European ECMWF model, use ...
Like a digital toddler taking its first steps, artificial intelligence is learning to predict the weather. In time, AI-based programs could calculate forecasts faster and at a lower cost than existing ...
Get the latest federal technology news delivered to your inbox. Lawmakers in both chambers of Congress are pushing a proposal that would direct the National Oceanic and Atmospheric Administration to ...
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