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Welcome to the AI and Machine Learning in Atmospheric Sciences Course
Course Contents
AI in Atmospheric Sciences: An introduction
Atmospheric Sciences: An introduction
Resources
Assignments
Bibliography
Student Projects 202402
Review of Nowcasting Precipitation Techniques
Data-Driven of Clud Properties: A Literature Review
Extreme events detection: A Literature Review
Hybrid Dynamical-Statistical Downscaling with Machine Learning Approach: A Literature Review
Machine learning for intraseasonal variability detection or prediction (still to be define): A Literature Review
Beyond Metrics: Evaluating ML Weather Models Physically - A Literature Review
Review de Técnicas de Forecasting de Precipitación
Task 2: Review of Key Papers
Machine Learning Applications in Tropical Cyclone Analysis Using Satellite Imagery: A Literature Review
Change climate forecasting: Lierature Review
Precipitation Nowcasting: A Literature Review
Introducción
Bias correction in climate models: A literature review
Repository
Open issue
.md
.pdf
Student Projects 202402
Student Projects 202402
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