8  Stochastic weather generators 🚧

Learning objectives

After reading this chapter, you should be able to:

  • Understand the principles of stochastic weather generation
  • Apply statistical models for synthetic weather data
  • Use weather generators for downscaling climate model output
  • Evaluate the performance of weather generation models

8.1 Essential concepts

  1. Hidden Markov models for weather state modeling
  2. Multi-site and multi-variable generation
  3. Statistical downscaling applications
  4. Synthetic data validation and evaluation
  5. Integration with physical models

Further reading