Thunderstorm Severity Tracking via Lightning Pulse Polarity Analysis

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current thunderstorm warning systems in the United States rely heavily on radar data, which has limitations due to gaps in radar coverage caused by terrain and obstructions, and lacks accurate high-altitude data, leading to potential inaccuracies in detecting severe weather events.

Innovation Solution

The use of lightning detection systems, particularly those operating in the low frequency (LF) and very low frequency (VLF) bands, to track thunderstorms and determine their severity by analyzing lightning flash rates, types, and polarities, which provide more comprehensive and accurate data on storm intensity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If radar data is used for thunderstorm detection, then detailed information about damaging winds, large hail or tornadoes can be obtained, but gaps in radar coverage occur due to terrain and obstructions

Engineering Contradiction:
Improveradar detection accuracyVSAvoidcoverage completeness
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent combines radar data with satellite data and other observational data sources to create a comprehensive severe weather detection system. This multi-source data integration compensates for radar coverage gaps caused by terrain and obstructions, providing both detailed local information and broader area coverage for more reliable thunderstorm detection

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system employs multiple detection methods (radar, satellite, ground-based sensors) that can serve multiple functions - radar provides detailed wind and precipitation data, satellite data fills coverage gaps and provides high-altitude information, and the integrated system can detect various severe weather phenomena including tornadoes, hail, and flash floods

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Measurement precision

If radar scanning strategies focus on low altitude, then detailed information about ground-level weather can be obtained, but high altitude radar data is not always available

Engineering Contradiction:
Improvelow altitude detection accuracyVSAvoidhigh altitude data availability
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The patent integrates radar data with satellite data to combine the strengths of both systems. Radar provides detailed low-altitude information about wind and precipitation near ground level, while satellite data supplies high-altitude cloud top and storm structure information, ensuring comprehensive vertical coverage without sacrificing either low or high altitude detection capabilities

Inventive Principle:
Principle #5Merging (Combining)

3Measurement precision

If lightning detection systems operate in high frequency bands, then detailed lightning information can be obtained, but false alarms increase and reliability decreases

Engineering Contradiction:
Improvelightning detection detailVSAvoidwarning accuracy
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent changes the operational frequency band of lightning detection systems from high frequency to low frequency (LF) and very low frequency (VLF) ranges. This parameter change reduces false alarms and improves reliability while still providing sufficient lightning detection capability, as LF/VLF systems are less susceptible to interference from non-storm electrical discharges

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS10782448B2Short-term thunderstorm forecast and severe weather alert system and method
Publication Date: 2020.09.22 VAISALA
  • US10782448B2 patent drawing
  • US10782448B2 patent drawing
  • US10782448B2 patent drawing

AI summary

Systems and methods are disclosed to determine the severity of a thunderstorm and/or track the path of a thunderstorm. For instance, multiple thunderstorms may be tracked by assigning detected lightning flashes to thunderstorm objects based on a number of previous lightning flashes assigned to each of the thunderstorm objects and a distance between each of the lightning flashes and each of the thunderstorm objects. In addition, an updated position may be determined for each of the thunderstorm objects based on positions and ages of lightning flashes assigned to each of the thunderstorm objects. The severity of a given thunderstorm may be determined based on lightning rates, types, and/or polarities of lightning flashes and/or lightning pulses of the thunderstorm object.