Integrated Weather Projection System for Spatial Temporal Continuity
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Solution Overview
Problem
Current weather projection products operate as independent systems, generating only subsets of spatial and temporal ranges necessary for strategic and tactical operational decision-making, leading to data gaps and inadequate operational management support, especially in real-time scenarios.
Innovation Solution
An integrated weather projection system that processes weather data from various sources and formats to generate continuous, cohesive weather projection products across spatial and temporal domains, using weather forecasting and nowcasting techniques, and integrates these into geospatial map layers for decision support tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If independent weather projection systems are used, then each system can process weather data efficiently within its specific spatial and temporal range, but data gaps and discontinuities occur that limit comprehensive operational management
Solution Approach 1:
The patent combines multiple independent weather projection systems into a single integrated platform that processes weather data across broad spatial and temporal ranges. The system merges forecasting products (long-range, physics-based) with nowcasting products (short-range, radar/satellite-based) to eliminate data gaps and provide continuous weather information coverage for comprehensive operational decision-making.
Solution Approach 2:
The integrated weather projection system performs multiple functions within a single platform: it generates both forecast and nowcast products, processes data from diverse sources (radar, satellites, observation stations), and delivers weather information across varying spatial and temporal scales. This multi-functional approach replaces the need for multiple separate independent systems.
2Duration of action of moving object
If physics-based weather forecasting models are used, then long-range weather projections can be generated, but computational processing time is too long for real-time nowcasting applications
Solution Approach 1:
The patent segments the weather projection task into two distinct components: forecasting (for long-range predictions) and nowcasting (for short-range real-time predictions). Each segment uses the most appropriate methodology for its time range, allowing both long-range and real-time capabilities to coexist without compromising either.
Solution Approach 2:
The system introduces nowcasting as an intermediary component that bridges the gap between long-range forecasting and immediate real-time weather needs. Nowcasting uses rapid processing of radar and satellite data to provide short-term predictions, while forecasting handles longer-term projections, together covering the full spectrum of weather prediction needs.
3Productivity
If weather nowcasting techniques are used, then short-term weather projections can be generated rapidly with high update frequencies, but the projection time range is limited compared to forecasting techniques
Solution Approach 1:
The patent merges nowcasting and forecasting systems into an integrated platform where both operate simultaneously. Nowcasting provides high-frequency updates for short-term predictions, while forecasting extends the time range for longer-term predictions. The combination ensures both rapid update capability and extended projection range are achieved.
4Reliability
If multiple independent weather projection systems operate separately, then each system can maintain its specialized processing methods, but the overall system complexity increases and integration becomes difficult
Solution Approach 1:
The patent creates a universal integrated weather projection system that consolidates multiple specialized systems into one platform. The system maintains the specialized processing methods of both forecasting and nowcasting while providing a unified interface and data management layer that simplifies integration and reduces overall system complexity.
Data Source
AI summary
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, subject to data availability, relative to a designated event or set of events.