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.
Abstract (translated)
降水预报是一种短期的雨/雪预报（最多2小时），通常由气象部门显示在地理图的顶部。现代降水预报算法依赖于地面雷达通过光流技术或神经网络模型对观测结果的外推。依赖于这些雷达，典型的现浇仅限于其位置周围的区域。我们开发了一种基于地球静止卫星图像的降水预报方法，并将所得数据纳入Yandex.气象降水图（包括一个对Yandex生态系统中的产品进行推送通知的警报服务），从而扩大了其覆盖范围，为真正的全球预报服务铺平了道路。冰。
URL
https://arxiv.org/abs/1905.09932
