Matej Choma - METEOPRESS

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Matej Choma

AIREN-NWP Revolutionizes Short-Term Weather Forecasting

AIREN-NWP Revolutionizes Short-Term Weather Forecasting

Is there a high variance in weather forecasts for today? Traditional numerical weather prediction (NWP) models are limited in their ability to integrate new observations. Enter AIREN-NWP, AI-powered NWP post-processing that fuses forecasts with real-time measurements for higher resolution and more accurate weather predictions up to 6 hours ahead. We

MWNet v1.0 — AI precipitation nowcasting for the public

MWNet v1.0 — AI precipitation nowcasting for the public

After two years of development, we present accurate short-time AI precipitation predictions available for the public in Central Europe. During storm seasons, it is often possible to see a storm forming on the horizon. A natural question in this situation is: “Will that storm hit us? How severe will it

Superiority of AI in the precipitation nowcasting

Superiority of AI in the precipitation nowcasting

Implementation of neural networks into meteorological science has been met with mixed reception with emotions ranging from full enthusiasm to total contempt. In Meteopress, we have focused on a straightforward goal — radar echo / precipitation nowcasting using the current state of the knowledge of neural network science. Meteopress AI team in

Extrapolation of radar echo with neural networks

Extrapolation of radar echo with neural networks

About ideas about how to predict precipitation from the weather radar images using machine learning. As one of the young guns in Meteopress [https://medium.com/pocasi/young-guns-aneb-jak-ml%C3%A1d%C3%AD-hrne-meteopress-vp%C5%99ed-f406b5c6d177] , I joined the team in March 2019 to write my bachelor’s thesis here. Under the