English

Precipitation Nowcasting with Satellite Imagery

Computer Vision and Pattern Recognition 2020-03-17 v1

Abstract

Precipitation nowcasting is a short-range forecast of rain/snow (up to 2 hours), often displayed on top of the geographical map by the weather service. Modern precipitation nowcasting algorithms rely on the extrapolation of observations by ground-based radars via optical flow techniques or neural network models. Dependent on these radars, typical nowcasting is limited to the regions around their locations. We have developed a method for precipitation nowcasting based on geostationary satellite imagery and incorporated the resulting data into the Yandex.Weather precipitation map (including an alerting service with push notifications for products in the Yandex ecosystem), thus expanding its coverage and paving the way to a truly global nowcasting service.

Keywords

Cite

@article{arxiv.1905.09932,
  title  = {Precipitation Nowcasting with Satellite Imagery},
  author = {Vadim Lebedev and Vladimir Ivashkin and Irina Rudenko and Alexander Ganshin and Alexander Molchanov and Sergey Ovcharenko and Ruslan Grokhovetskiy and Ivan Bushmarinov and Dmitry Solomentsev},
  journal= {arXiv preprint arXiv:1905.09932},
  year   = {2020}
}

Comments

Final KDD 2019 version

R2 v1 2026-06-23T09:21:00.443Z