Showing 1 - 9 of 9 results
End-to-End Observation-Based ML forecasting podcast

End-to-End Observation-Based ML forecasting podcast

In this podcast observation-based ML is discussed. From its methods and architecture to challenges and opportunities of...
Machine Learning for Earth Systems Modelling - Course 3

Machine Learning for Earth Systems Modelling - Course 3

Format: Interactive modules (eLearning)
Published: May 15, 2026

Applications and Future Directions Online training course 3Cutting edge applications of ML in weather and climate science ...

Trust, Transparency, and the Changing Skill of Forecasting in the Age of AI

Trust, Transparency, and the Changing Skill of Forecasting in the Age of AI

Format: Podcast
Published: April 24, 2026
Stefanie Holborn is head of the observation, modelling, and verification centre at Deutscher Wetterdienst (DWD), and...
Predictability for AI based Earth System Models

Predictability for AI based Earth System Models

Format: Podcast
Published: April 24, 2026
Tobias Seiz is a researcher on atmospheric predictability on KIT. In this podcast, he introduces the concept of...
Machine Learning for Earth Systems Modelling - Course 2

Machine Learning for Earth Systems Modelling - Course 2

Format: Interactive modules (eLearning)
Published: April 7, 2026

Architectures, Data, and Prediction Online training course 2ML workflows from theory to practice 01 June 20...

Machine Learning for Earth Systems Modelling - Course 1

Machine Learning for Earth Systems Modelling - Course 1

Format: Interactive modules (eLearning)
Published: February 2, 2026

Foundations and New Frontiers Online training course 1From foundations to hands-on applications! 16 March 2026 ...

MLWC MOOC 1: Introduction to Machine Learning in Weather and Climate

MLWC MOOC 1: Introduction to Machine Learning in Weather and Climate

Format: Interactive modules (eLearning)
Published: October 28, 2022

Six modules introducing the main topics in machine learning in the context of weather and climate.

MLWC MOOC 2: Concepts of Machine Learning in Weather and Climate

MLWC MOOC 2: Concepts of Machine Learning in Weather and Climate

Format: Interactive modules (eLearning)
Published: October 28, 2022

Five modules covering decision trees, deep learning, uncertainty and generative models, and physics-guided approaches.

MLWC MOOC 3: Applications of Machine Learning in Weather and Climate

MLWC MOOC 3: Applications of Machine Learning in Weather and Climate

Format: Interactive modules (eLearning)
Published: October 28, 2022

Six modules giving ML applications in observations, forecasting, data assimilation, post-processing, ocean and more.