AI weather models have redefined what we can expect of forecasts. Recent advances in AI technology are increasing the accuracy of forecasts and helping us adapt to more extreme and unpredictable weather.
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Today, traditional forecasts are made using complex and time-consuming equations that require a lot of resources.
Using AI, these forecasts can be made using a fraction of the time and resources, and the results are even more accurate.
The technology is essentially an advanced form of statistics that can recognize patterns in vast amounts of data - ideal for meteorology, where data is abundant.
Fortunately, the weather has been observed and documented across the globe for a very long time.
By introducing AI models to these mountains of data, they can systematically analyze it, identifying subtle weather trends and patterns.
When the model is finished training on the data, the result is an AI algorithm that predicts weather almost instantly and more accurately than traditional methods.
Traditional forecasts can not be updated very often due to their complex nature. They take atmospheric conditions into account and try to calculate the future development of the weather.
AI takes a different approach. AI algorithms analyze millions of past weather scenarios, and when faced with a similar situation in real-time, they accurately predict outcomes based on that data.
This is why Cordulus is able to predict the weather more accurately than large meteorological institutions. It’s no longer just about understanding meteorology - it's about analyzing data in the smartest way possible.
We have developed an AI model that consistently generates forecasts more accurate than other alternatives on the market.
It's different from usual forecasts because it takes your exact location into account. The AI trains itself to learn your local conditions instead of offering broad, general forecasts that often miss local weather variations.
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