Extreme Climate Event Identification Using CI Grid Expansion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods fail to objectively and comprehensively identify extreme climate events, which are becoming more frequent and intense due to global warming, impacting economic and ecological environments.
Innovation Solution
A method and system that acquire CI grid data of a region, identify event centers by maximizing CI values, expand these centers until adjacent CI values are within thresholds, and calculate CI intensities to define extreme climate impacted areas, durations, and intensities, visualized through IAD curves and envelopes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing methods are used to identify extreme climate events, then the identification process is simple, but the identification is not objective and comprehensive
Solution Approach 1:
The patent divides the identification process into distinct segments: acquiring CI grid data, determining event centers by maximizing CI values, expanding event centers until thresholds are met, and calculating CI intensities. This segmentation transforms a simple but inaccurate method into a comprehensive multi-step process that maintains objectivity while improving identification accuracy.
Solution Approach 2:
The patent introduces multiple dimensions to the identification process by considering not only spatial distribution but also temporal duration and intensity (CI values). By adding these dimensional criteria, the method achieves more comprehensive and objective identification of extreme climate events, moving beyond simple threshold-based detection.
2Loss of information
If comprehensive identification of extreme climate events is achieved, then detailed information on impacted areas, intensities, and durations is obtained, but the processing complexity increases
Solution Approach 1:
The patent performs preliminary actions by first acquiring CI grid data and determining event centers before expanding them. This preliminary identification of centers and thresholds streamlines the subsequent expansion process, ensuring that all three dimensions (area, intensity, duration) are captured systematically without unnecessary complexity.
Solution Approach 2:
The patent replaces complex manual analysis with an automated computational system that processes CI grid data, determines event centers, expands them according to defined criteria, and calculates intensities. This substitution of mechanical/computational processes for manual methods achieves comprehensive information capture while managing system complexity through algorithmic efficiency.
Data Source
AI summary
The present application provides a method and system for identifying extreme climate events. The method acquires climate index (CI) grid data of a to-be-identified region within an extreme climate time period, and gradually expands each of event centers in the to-be-identified region, until CI values of all grids adjacent to the event center are not greater than a CI threshold. The method can obtain extreme climate impacted areas of extreme climate events in the to-be-identified region, and can further obtain CI intensities of the extreme climate events by average calculation. The method can obtain three pieces of dimension information on each of the extreme climate events in the to-be-identified region, including an extreme climate impacted area, a CI intensity and a duration. Therefore, the method can identify the extreme climate events more comprehensively.