Skyfora - AI Weather Forecasting Solutions
Skyfora leverages cutting-edge AI techniques to provide advanced weather forecasting solutions, prioritizing accuracy, resolution, and frequency of updates. Their technology integrates machine learning algorithms to process a range of data inputs, from historical weather patterns and atmospheric models to satellite and sensor data. Notably, Skyfora's forecasts employ advanced deep learning methods, offering precision tailored to specific industries through innovations like GNSS Meteorology. Their diverse tools include the Tropical Cyclone Nowcast using neural networks for real-time global insights, and the Wind Park Forecast which optimizes wind energy predictions using turbine data. Additionally, the Hurricane Seasonal Forecast provides probability distributions for events like major hurricanes using Bayesian Neural Networks. By enhancing operational resilience and decision-making, Skyfora sets new standards in meteorological data utilization and interpretation.
Cutting-edge weather insights for informed decision-making
AI-powered weather forecasts for increased efficiency, better predictions and operational resilience.
WITH SKYFORA’S AI WEATHER FORECAST
- Improved accuracy, resolution and update rate
- Accurate and reliable insights for informed decision-making
- Deep learning optimization with company-specific data
The most accurate and comprehensive weather forecasts
Inaccurate and unreliable weather forecasts create major challenges and reduce efficiency in multiple industries. Skyfora has extensive experience in weather data and traditional weather forecasting, and offers modern forecasting solutions that combine the deep learning technologies with unique instruments and groundbreaking data-gathering methods.
At the forefront of deep-learning-based modern forecasting
Skyfora’s AI Weather Forecast utilizes machine learning algorithms to analyze extensive data, including historical patterns, current conditions, and atmospheric models. It uses multiple sources of input data, such as traditional numerical and modern machine learning-based weather models, satellite earth observation data, various sensor data, unique GNSS Meteorology and customer-specific data. This enables more precise, customized, and actionable high-resolution forecasts in real time.
Provides the wind speed and precise location of tropical cyclones anywhere on the globe in real-time. It uses visible and infrared satellite images and a convolutional neural network solution.
- New update with ever satellite image
- Best nowcast accuracy
- Insight for insurance and emergency management
Offers a skilled forecast on the upcoming hurricane season with a probability distribution for desired event categories such as major hurricane landfalls in the Gulf of Mexico. It uses historical and seasonal weather data and a Bayesian Neural Network solution.
- Accurate risk and uncertainty estimate
- Skilled forecast even on sub-region level
- Intuitive graphical user interface
Skyfora Wind Park Forecast
Optimizes wind forecasts (speed and direction) for precise locations by combining turbine and production data to generate maximum benefit. It includes a unique feature such as probability for freezing.
- Real-time 24/7 production and uncertainty estimate with 15 min resolution
- Icing forecast for northern areas
- Deep learning with customer wind park data