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Found 4 papers, 2 papers with code
WeatherReal: A Benchmark Based on In-Situ Observations for Evaluating Weather Models
Our work aims to advance the AI-based weather forecasting research towards a more application-focused and operation-ready approach.
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
In the upcoming decade, deep learning may revolutionize the natural sciences, enhancing our capacity to model and predict natural occurrences.
Super-resolution Probabilistic Rain Prediction from Satellite Data Using 3D U-Nets and EarthFormers
To further improve the model performance, multi-model ensemble and threshold optimization were used to produce the final probabilistic rain prediction.
MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather
We present the encoder-forecaster convolutional long short-term memory (LSTM) deep-learning model that powers Microsoft Weather's operational precipitation nowcasting product.
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