Pilot Balloon Flight Path Modeling with Zone-Specific Weather Adjustments

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Solution Overview

Problem

Existing weather forecasting methods for high-altitude balloons suffer from spatial and temporal inaccuracies, making it challenging to predict flight paths with the required precision for location-specific data collection operations.

Innovation Solution

A method that uses actual ascent data from a pilot balloon to generate pseudo-predicted flight tracks, identifies a best-fit weather model, and applies spatial and temporal offsets to adjust weather model data, creating an ensemble weather model for improved accuracy in predicting flight paths.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional weather models are used to forecast flight paths, then comprehensive spatial and temporal coverage is achieved, but prediction accuracy deteriorates due to spatial and temporal shifts in forecasts

Engineering Contradiction:

Improveflight path prediction accuracyVSAvoidspatial and temporal alignment of weather forecasts

Core Design Contradiction:

ReliabilityVSMeasurement precision

Solution Approach 1:

The system uses pilot balloon ascent data as feedback to continuously adjust and refine weather model predictions. By comparing actual pilot balloon trajectories with modeled trajectories and analyzing deviations, the system identifies spatial and temporal shifts in weather model forecasts and applies corrective adjustments to improve prediction accuracy for subsequent balloon flights.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary flight path modeling using pilot balloon data before the actual data collection mission. By pre-calculating and adjusting weather model forecasts based on pilot balloon observations, the system prepares corrected flight path predictions in advance, ensuring that when the actual mission occurs, the weather model has already been optimized for accuracy in the target area and time period.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If pilot balloon data is used to capture real-time atmospheric conditions, then local accuracy is improved, but predictive capability deteriorates due to limited temporal and spatial depth

Engineering Contradiction:

Improvelocal atmospheric data accuracyVSAvoidpredictive capability for future flight paths

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The system merges pilot balloon data with weather model data to create a hybrid forecasting approach. By combining the local accuracy of pilot balloon observations with the comprehensive spatial and temporal coverage of weather models, the system overcomes the limitations of either data source alone. The integration allows the system to capture real-time local conditions while maintaining predictive capability for future flight paths through the weather model's forecast data.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system uses flight modeling software as an intermediary to bridge pilot balloon data and weather model data. This intermediary component processes both data types, compares them, identifies discrepancies, and generates adjusted weather model forecasts that incorporate local observational accuracy while maintaining broader predictive capability.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Reliability

If weather models are refined to improve forecast accuracy, then prediction reliability improves, but computational complexity and processing requirements increase

Engineering Contradiction:

Improveweather forecast accuracyVSAvoidweather model processing complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

Instead of uniformly improving all weather model forecasts across the entire globe, the system applies local quality adjustments only to specific regions and altitude zones where pilot balloon data indicates discrepancies. By targeting corrections to local areas rather than globally, the system improves forecast accuracy where needed while minimizing the overall computational complexity and processing requirements.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20250334411A1Balloon flight path modeling using pilot balloon ascent data for zone-specific weather forecast adjustments

Publication Date: 2025.10.30 URBAN SKY THEORY INC

AI summary

A method for accurately modeling a balloon flight path includes obtaining actual ascent data and location data captured by a pilot balloon and using the actual ascent data in combination with forecast data of a plurality of weather models to generate multiple pseudo-predicted flight tracks for the pilot balloon. The method further includes determining an actual flight path of the pilot balloon based on the location data captured by the pilot balloon, identifying, from the multiple pseudo-predicted flight tracks, a best-fit pseudo-track segment that most closely matches a segment of the actual flight path traversing the altitude zone, and quantifying offsets between the best-fit pseudo-track segment and the segment of the actual flight path traversing the altitude zone. The method further includes determining a best-fit weather model of the plurality of weather models, generating an adjusted weather model by shifting predictions of the best-fit weather model by one or more of the offsets, and using the adjusted weather model to predict a future flight path of subsequently launched flight vehicle through the altitude zone.