Weather Condition Prediction TRIZ Cases
- Carbon Flux Calculation Using Weather Stations and Machine Learning
A system calculates carbon flux using weather station data and machine learning models to estimate ecosystem emissions.
- Spatio-Temporal Occlusion Forecasting for Remote Sensing
Forecasting environmental occlusion events via machine learning enables reliable remote sensing planning by predicting cloud and fog interference.
- Deep Learning Model for High-Resolution Climate Projections
A trained neural network maps relationships between coarse and fine resolution datasets to generate detailed local-scale climate projections.
- Sea Ice Lead Forecasting via Grid-Based Opening Rates
A forecasting system calculates daily opening rates and convergence strain rates for polar ice grid cells to predict lead formation.
- Typhoon trajectory prediction using curved surface distance
A typhoon trajectory prediction method calculates curved surface distance to determine true moving direction.
- Edge Computing Network Architecture for Preemptive Data Storage
Segmented edge computing architecture pre-packages client data at remote hubs to maintain transaction processing during communication disruptions.
- Physics-Informed Wind Forecasting via Neural Network Segmentation
Segmenting long-term physical dynamics from short-term pattern recognition reduces execution time and improves forecast accuracy across large timescales.
- Aerostat Cable Vertical Atmospheric Profiling
Segmented aerostat cables transmit real-time multi-parameter data, eliminating radar assumption errors.
- Vessel Trajectory Adaptation Using Surrogate Wave Models
Lightweight surrogate wave models enable dynamic trajectory adaptation without relying on slow, expensive weather forecasts.
- Road Weather Detection via Laser Intensity Segmentation
Segmenting laser returns from non-road objects improves wetness detection precision, enabling Bayesian estimates for safe driving decisions.
- Fire Risk Prediction Neural Network with Bias Correction
Generative adversarial machine learning system corrects climate data bias to extrapolate fire risk into future weather environments.
- Portable Computing Device Wind Speed Calculation via Rotational Sensor
A portable computing device calculates localized wind speed using a rotational motion sensor to match atmospheric event orientation.
- Precipitation Estimation Using Segmented Occurrence and Intensity Models
Segmenting rainfall estimation into separate occurrence and intensity models accounts for spatial correlation while reducing computational complexity.
- Automatic Turbulence Detection via Aircraft Data Exchange
Automated turbulence detection uses ADS-B data exchange between aircraft to identify speed variations, reducing pilot workload and enhancing flight safety.