Resources

This course assumes students are familar with the fundamentals of machine learning. The following resources are available for students looking for additional ML review:

• Introduction to Statistical Learning with Applications in R.  [book - available free online] [video lectures] 

• Google Developers Machine Learning Crash Course.   

• Lecture slides (Brown login required) for EEPS-DATA 1340 can be found here.

Government Science Agencies

• • NASA:  Global Climate Change: Vital Signs of the Planet

  • Environmental Protection Agency (EPA):  Climate Change Science

  • NOAA:  Climate.gov

  • US Global Change Research Program:  Climate Science Special Report  (4th National Climate Assessment)

Intergovernmental Panel on Climate Change (IPCC) 

• • Reports  and  Glossary 

Scientific Organizations

• •  American Chemical Society (ACS):  Climate Science Toolkit

  • American Meteorological Society (AMS):  State of the Climate

  • US National Academy of Sciences & The Royal Society: Climate Change: Evidence and Causes (2020)

University resources

• • MIT Climate Portal: Climate Primer, Explainers and Ask MIT Climate

Check back - additional resources may be added.

ML + Climate Conferences and Workshops

• AI For Earth and Space Sciences Workshop  [ICLR 2020]  [NeurIPS 2020]  [ICLR 2022]  

• Machine Learning Advances Environmental Science Workshop  [ICPR 2021]

• Tackling Climate Change with Machine Learning Workshop   [ICRL 2020]  [ICML 2021]  [NeurIPS 2022]  [ICLR 2023] [NeurIPS 2023]

• International Conference on Climate Informatics   [2020]  [2022]

• NOAA Workshop on Leveraging AI in Environmental Sciences  [2020]  [2022]

• Machine Learning for Climate and Weather Applications Workshop  [2022]