Skip to content

Guide to using machine learning emulators of numerical atmospheric models.

Notifications You must be signed in to change notification settings

lukeconibear/emulator_training

Repository files navigation

Emulation of air quality in China

Slides

Training = Open in Colab

Video

COP-AQ: Winter training School

Aim

Provide training in the methods of statistical emulation for air quality research.

Objectives

  1. Learn about the basics of emulator development
  2. Learn how to apply emulators for simulation of air quality and health impacts

Pre-requisites

  • Background in Python

Background reading

About

Guide to using machine learning emulators of numerical atmospheric models.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published