Invention Grant
- Patent Title: Self-learning nowcast system for modeling, recording, and predicting convective weather
-
Application No.: US15966633Application Date: 2018-04-30
-
Publication No.: US11237299B2Publication Date: 2022-02-01
- Inventor: Ruiyue Chen
- Applicant: I.M. Systems Group, Inc.
- Applicant Address: US MD Rockville
- Assignee: I.M. Systems Group, Inc.
- Current Assignee: I.M. Systems Group, Inc.
- Current Assignee Address: US MD Rockville
- Agency: Arnold & Porter Kaye Scholer LLP
- Main IPC: G01W1/10
- IPC: G01W1/10 ; G06K9/00 ; G06F3/0484 ; G01W1/00 ; G06F16/29 ; G06F16/58 ; G06N20/00
Abstract:
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.
Public/Granted literature
- US20180313975A1 Self-Learning Nowcast System for Modeling, Recording, and Predicting Convective Weather Public/Granted day:2018-11-01
Information query
