Machine Learning
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ML-based improvement of sub-seasonal drought forecasting

This is the official abstract of the research work that I will present at EGU General Assembly 2023. The research examines the forecasting and management of droughts, one of the most severe natural disasters that afflict societies.


Used technologies

image - SK Learn
image - Pandas
image - Tensorflow
image - Xarray

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