Simulator System for Weather Pattern Matching
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Solution Overview
Problem
Current methods for simulating weather in aircraft simulators are time-consuming and often result in inaccurate, non-realistic weather visuals due to manual data processing and the lack of a comprehensive search tool for historic weather data.
Innovation Solution
A system and method that utilize a searchable weather event database to catalog and index historic weather data based on various parameters, allowing for the retrieval and simulation of realistic weather events by matching user inputs or weather forecasts with stored data, including radar and image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data processing and searching archived weather data are used, then weather simulations can be created, but the process becomes time-consuming and manually intensive
Solution Approach 1:
The system performs preliminary actions by pre-processing weather data, pre-generating contours at multiple time steps, and pre-computing radar returns before they are needed for simulation. This allows the simulator to quickly retrieve and use pre-computed weather models without performing time-consuming manual processing at the moment of simulation.
Solution Approach 2:
The system creates simplified copies of complex weather data by generating contour representations and radar return models that capture the essential features of actual weather patterns. These copied representations can be processed and displayed much more efficiently than the original raw weather data while maintaining simulation realism.
2Loss of information
If manual illustration of weather contours is performed, then weather patterns can be visualized, but the process is cumbersome and results in unrealistic visuals
Solution Approach 1:
The system replaces manual mechanical processing of weather data with automated computer-based algorithms. Software automatically generates contours, computes radar returns, and creates weather models without requiring manual illustration, thereby reducing complexity while maintaining or improving the quality and realism of weather visualizations.
3Measurement precision
If super-computer processing is used for weather simulation, then detailed weather data can be generated, but the process remains time-consuming
Solution Approach 1:
The system performs computationally intensive weather data processing and model generation in advance, storing the results for quick retrieval during simulation. This preliminary computation separates the heavy processing burden from the actual simulation runtime, enabling both high precision and fast delivery of weather data.
Solution Approach 2:
The system extracts only the essential and relevant features from comprehensive super-computer processed weather data, such as key contour lines, significant radar returns, and critical weather parameters. This extraction creates streamlined weather models that maintain measurement precision while reducing the time required to process and display the data.
Data Source
AI summary
One embodiment of the present disclosure relates to a method of simulating a weather pattern for use in a simulator environment. The method includes receiving an input corresponding to a desired weather event and determining a set of weather parameters pertaining to the desired weather event. The method further includes searching a weather event database for a matching weather event. The weather event database includes weather data for a plurality of weather events. The method includes identifying the matching weather event. The matching weather event includes at least a portion of the set of weather parameters pertaining to the desired weather event. The method includes receiving weather data corresponding to the matching weather event. The method further includes creating a model of the matching weather event.