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.
NeuralGCM ', to simulate the Earth's atmosphere. This model combines traditional physics-based modeling with machine learning to improve the accuracy and efficiency of simulations, and can produce ...
Climate Compass on MSN
Why Seasonal Forecasts Are More Accurate Than Ever
Weather experts have something remarkable to celebrate right now. Our ability to predict conditions over the coming season has greatly advanced in just the past 20 years.The science behind seasonal ...
The researchers trained their AI on reconstructions of ancient climates from the year 0 to 1850.View on euronews ...
Recent advances in forecasting demand within emergency departments (EDs) have been bolstered by the integration of machine learning and time series analytical techniques. The objective of these ...
Researchers at the University Bonn, the Forschungszentrum Jülich (FZJ), and the Lamarr Institute for Machine Learning and ...
A wave of machine-learning weather models have been unleashed by some of the very biggest businesses on the planet. These challenge the orthodoxy of traditional physics-based computer forecasts that ...
In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...
Open Climate Fix says its Quartz Solar tool saves Great Britain’s grid operator GBP 30 million ($39 million) per year through ...
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