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Self-Learning Nowcast System for Modeling, Recording, and Predicting Convective Weather

机译:自学习临近预报系统,用于对流天气的建模,记录和预测

摘要

The systems, methods, and apparatuses described herein provide integrated weather forecast products designed to assist operations managers with operational decision-making related to a designated event or set of events. The present disclosure provides a way to process weather data from various sources and in diverse data formats containing varying spatial resolutions and temporal resolutions, in order to generate an integrated and cohesive weather projection product such that the weather projection product is continuous in both spatial and temporal domains relative to a designated event or set of events.
机译:本文所述的系统,方法和设备提供了集成天气预报产品,其被设计为协助运营管理者进行与指定事件或事件集有关的运营决策。本公开提供了一种处理来自各种来源并且以包含变化的空间分辨率和时间分辨率的不同数据格式的天气数据的方式,以便生成集成的且有凝聚力的天气预报产品,使得天气预报产品在空间和时间上都是连续的相对于指定事件或事件集的域。

著录项

  • 公开/公告号US2018313975A1

    专利类型

  • 公开/公告日2018-11-01

    原文格式PDF

  • 申请/专利权人 I.M. SYSTEMS GROUP INC.;

    申请/专利号US201815966633

  • 发明设计人 RUIYUE CHEN;

    申请日2018-04-30

  • 分类号G01W1/10;G06F17/30;G06N99;G06K9;

  • 国家 US

  • 入库时间 2022-08-21 12:58:32

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