图 书 馆
利用卫星图像进行降水临近预报Precipitation Nowcasting with Satellite Imagery |
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| 课程网址: | http://videolectures.net/kdd2019_lebedev_ivashkin_rudenko/ |
| 主讲教师: | Alexander Ganshin |
| 开课单位: | 扬德克斯 |
| 开课时间: | 2020-03-02 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | 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. |
| 关 键 词: | 利用卫星图像; 降水临近预报; 数据科学 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-09-19：cyh |
| 最后编审: | 2022-09-19：cyh |
| 阅读次数: | 69 |