公开(公告)号：US20240176045A1

公开(公告)日：2024-05-30

申请号：US18277729

申请日：2022-02-16

Applicant: DeepMind Technologies Limited

Inventor： Suman Ravuri ,  Karel Lenc ,  Piotr Wojciech Mirowski ,  Remi Roger Alain Paul Lam ,  Matthew James Willson ,  Andrew Brock

IPC: G01W1/10 ,  G06N3/0475

CPC classification number: G01W1/10 ,  G06N3/0475

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for precipitation nowcasting using generative neural networks. One of the methods includes obtaining a context temporal sequence of a plurality of context radar fields characterizing a real-world location, each context radar field characterizing the weather in the real-world location at a corresponding preceding time point; sampling a set of one or more latent inputs by sampling values from a specified distribution; and for each sampled latent input, processing the context temporal sequence of radar fields and the sampled latent input using a generative neural network that has been configured through training to process the temporal sequence of radar fields to generate as output a predicted temporal sequence comprising a plurality of predicted radar fields, each predicted radar field in the predicted temporal sequence characterizing the predicted weather in the real-world location at a corresponding future time point.