⛅ aiPogoda.pl Weather in Poland

aiPogoda.pl

aiPogoda.pl is a modern weather forecast service for Poland using the most advanced numerical models from the European Centre for Medium-Range Weather Forecasts (ECMWF). As one of the first in Poland, we offer forecasts based on the revolutionary AIFS model - an AI-powered forecasting system. Our service provides precise hourly forecasts for all Polish cities, with data updated every 6 hours. Users can choose between the ultra-fast AI model (AIFS) and the proven traditional IFS model, adapting the forecast type to their needs - whether planning the next few hours or long-term trips.

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AIFS - AI Model (default)

AIFS (Artificial Intelligence/Integrated Forecasting System) is a revolutionary ECMWF model using artificial intelligence and machine learning. The system combines traditional numerical atmospheric simulation methods with advanced AI algorithms, enabling significantly faster forecast generation while maintaining high accuracy. The model is particularly effective in predicting extreme weather events and sudden changes in atmospheric conditions.

Key advantages:

  • AI-powered analysis of weather patterns from recent decades
  • Faster calculations - forecasts generated in a fraction of traditional model time
  • High precision in short-term forecasts (1-3 days)
  • Effective prediction of rapid weather changes and extreme events

IFS - Traditional Model

IFS (Integrated Forecasting System) is ECMWF's time-tested numerical model, recognized as one of the most accurate weather forecasting systems in the world. It uses advanced equations of atmospheric and oceanic physics, simulating air mass movements and thermodynamic processes. Operating on a dense computational grid and considering thousands of atmospheric variables, it ensures high quality medium and long-term forecasts.

Key advantages:

  • Proven model with years of accurate forecasting history
  • Based on fundamental laws of atmospheric physics
  • Particularly accurate in medium and long-term forecasts (4-10 days)
  • Recognized as the world standard in numerical meteorology

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