Search Results for author: Pete Luferenko

Found 3 papers, 1 papers with code

Super-resolution Probabilistic Rain Prediction from Satellite Data Using 3D U-Nets and EarthFormers

1 code implementation6 Dec 2022 Yang Li, Haiyu Dong, Zuliang Fang, Jonathan Weyn, Pete Luferenko

To further improve the model performance, multi-model ensemble and threshold optimization were used to produce the final probabilistic rain prediction.

Decision Making Super-Resolution

MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather

no code implementations18 Nov 2021 Sylwester Klocek, Haiyu Dong, Matthew Dixon, Panashe Kanengoni, Najeeb Kazmi, Pete Luferenko, Zhongjian Lv, Shikhar Sharma, Jonathan Weyn, Siqi Xiang

We present the encoder-forecaster convolutional long short-term memory (LSTM) deep-learning model that powers Microsoft Weather's operational precipitation nowcasting product.

Optical Flow Estimation

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