Probability,
not forecasts.
KLIMAT-P gives operations planners, agronomists, and energy operators a probabilistic view of the coming months, grounded in real IMGW-PIB data and updated daily.
Six indicators. One region. Updated daily.
Every card shows the current probability, how it changed, and what is driving the shift. Not a forecast, a living probability distribution.
Different from every weather product you use
Honest about uncertainty
Every probability comes with a confidence rating and a stated driver. When the model is uncertain, it says so, rather than showing a precise number that implies false confidence.
Dynamic, not a snapshot
The probability that a summer will be above normal is not fixed in April. It shifts as conditions evolve. KLIMAT-P shows you how it is shifting and why, updated with each new data cycle.
Built for planning horizons
Most weather products optimise for 48-hour precision. KLIMAT-P is built for 4–12 week operational planning horizons, where the only honest answer is probabilistic.
Built for people weather actually costs money
Bayesian, real-data, independently verified.
KLIMAT-P does not generate synthetic data or simulate weather. It reads real station observations, compares them to a 30-year climatological baseline, and updates probability estimates using Bayesian inference, the same methodology used in research-grade seasonal forecasting.
Every output is verified against what actually occurred, using Brier Score, the standard metric for probabilistic forecast accuracy. The verification record is visible inside the platform.
Every prediction gets checked.
A probability only means something if it's honest. Each week, KLIMAT-P compares what it predicted against what actually happened at IMGW-PIB stations, and scores the result using Brier methodology, the standard measure of probabilistic forecast accuracy. Nothing is graded after the fact, and nothing is adjusted to look better. The full verification record is visible inside the platform, for anyone to check.