Data Skeptic

Explainable Climate Science

Jan 31, 2022

34:50

Creator website

Highlights

AI Chapters

Episode notes

Is Machine Learning Required in Climate Science?

02:17

Is the Earth a Rectangular Spheroid?

02:15

Is It Critical That Someone With Strong Machine Learning Learns Climate Change?

01:58

Introduction

2min

Is Machine Learning Really Using Physical Processes?

2min

Is Machine Learning Required in Climate Science?

2min

Detecting Climate Signals Using Explainable a I With Single Forcing

2min

Is There Natural Variability in the Climate System?

2min

How Much Variability Is There in the Planet System?

2min

B B Edit 14 Review

4min

Is the Earth a Rectangular Spheroid?

2min

How Does the Neural Network Predict Climate Patterns?

3min

10.

Climate Models and Aerisols - Are They Realistic?

2min

11.

Machine Learning Methods for Climate Change

3min

12.

Is It Critical That Someone With Strong Machine Learning Learns Climate Change?

2min

13.

Is This a Continuation of a Line of Research?

2min

14.

The Layerwise Regression Technique for Explainable Ai

2min

15.

Data Sceptic Time Series - What's Next for Machine Learning in Climate Science?

2min

Zack Labe, a Post-Doctoral Researcher at Colorado State University, joins us today to discuss his work “Detecting Climate Signals using Explainable AI with Single Forcing Large Ensembles.” Works Mentioned “Detecting Climate Signals using Explainable AI with Single Forcing Large Ensembles” by Zachary M. Labe, Elizabeth A. Barnes Sponsored by: Astrato and BBEdit by Bare Bones Software