2. Ideal Test Cases

Four test cases are described:

• Dry neutral boundary layer

• Dry convective boundary layer

• Dry stable boundary layer

• Moist cloud-topped boundary layer

Required tutorial resources including python utilities and Jupyter Notebooks are provided in the tutorials directory of the FastEddy-model GitHub repository with required data for the moist dynamics example available at this Zenodo record. All test cases are idealized setups over flat terrain. For each case, the user will set up the input parameter file, execute FastEddy, visualize the output using a Jupyter notebook, and perform some basic analysis of the output. After examining the test cases, the user will carry out some sensitivity tests by changing various input parameters. The purpose of these tests are for the user to become more familiar with the input parameters, and how changes to those parameters affect the output. After the tutorial, the user is expected to have basic knowledge to carry out LES using FastEddy.

• 2.1. Dry neutral boundary layer
  • 2.1.1. Background
  • 2.1.2. Input parameters
  • 2.1.3. Execute FastEddy
  • 2.1.4. Visualize the output
  • 2.1.5. Analyze the output
• 2.2. Dry convective boundary layer
  • 2.2.1. Input parameters
  • 2.2.2. Execute FastEddy
  • 2.2.3. Visualize the output
  • 2.2.4. Analyze the output
• 2.3. Dry stable boundary layer
  • 2.3.1. Background
  • 2.3.2. Input parameters
  • 2.3.3. Execute FastEddy
  • 2.3.4. Visualize the output
  • 2.3.5. Analyze the output
• 2.4. Moist cloud-topped boundary layer
  • 2.4.1. Input parameters
  • 2.4.2. Execute FastEddy
  • 2.4.3. Visualize the output
  • 2.4.4. Analyze the output