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AI for cloud classification
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Significance of trade wind cumulus clouds & their organizational variability over tropics
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Lessons

Importance of cloud systems for Climate change and Renweable energy

4:00

Past state-of-the-art research studies and possible limitations

3:48

Deep learning Architecture and evolution of understanding

4:20

Integrating physical knowledge to find optimzed classes

4:48

Gaining inference of the identified classes by the neural network

4:11

Generalization: How does the network perform on unseen data

2:59

Application for solar enery using transfer learning from the pre-trained neural network

3:49

Significance of trade wind cumulus clouds & their organizational variability over tropics

4:33

Visual features of cloud organizations and exploiting them to capture the diversity

5:35

Finding optimal boundary conditions in the continous space

5:59

Extension of agreement between humans and machines for the identified cloud organizations

6:37

Capturing transition in cloud organziations

1:44

Dry - wet atmospheric intrusions

5:23

Importance of Satellite Cloud Remote Sensing

10:58

Satellite Cloud Remote Sensing Introduction

15:27

How can machine learning help cloud research?

24:59

Significance of trade wind cumulus clouds & their organizational variability over tropics

In this video we will understand the significance of trade wind cumulus cloud systems with regards to climate change and then discuss briefly about their organizational variability over tropics.

Lecturer

s

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Dwaipayan Chatterjee
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Prof.in Dr.in Susanne Crewell
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Dr. Christoph Böhm

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