Groundbreaking ENSO Forecasting Study – Powered by MATLAB

Eszter Horvath
Eszter Horvath
Groundbreaking ENSO Forecasting Study

A Hungarian Researcher, Dr. Tamás Bódai, Associate Professor, publishes a groundbreaking ENSO forecasting study in Climate and Atmospheric Science.

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A new research study by Dr. Tamás Bódai, Associate Professor at the Institute of Mathematics and Basic Sciences at the Hungarian University of Agriculture and Life Sciences (MATE), has been published in Climate and Atmospheric Science. The study introduces the world’s most accurate forecasting system for the El Niño–Southern Oscillation (ENSO) phenomenon. This new system is a breakthrough for understanding and predicting global weather patterns.

Dr. Bódai developed an advanced forecasting model (XDROM+) and created a MATLAB Web App, making the forecasts accessible to anyone through a web browser. This achievement was powered by the MATLAB Campus-Wide License at MATE, which provides students, faculty, and researchers unlimited access to MATLAB and Simulink.

The Hungarian researcher shared his personal experience about the journey of this outstanding achievement: “I had never seen a scientific paper include a MATLAB web app as supplementary material, even though it seemed obvious. When publishing my climate emulator, I wanted the same accessibility as Hector or En-ROADS. MATLAB made it possible to build it myself, though setting up the web app server was challenging. The SciEngineer expert team was an invaluable partner throughout – kudos to them.”

Together with our academia team, we at SciEngineer are proud of our partnership with Dr. Bódai and his achievements in leveraging the MATLAB tools. It was great to see another example of how the Campus-Wide License can help maximize MATLAB’s potential and contribute to Dr. Bódai’s groundbreaking achievements.

Read Dr. Tamás Bódai’s study in the Climate and Atmospheric Science here.

Access the MATLAB Web App here.

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