Tutorials

Basics

• Before you run the code
  • How to Pick Gas Condensates
  • How to pick \(f_{sed}\)
  • Chemical Limitations of the Code (e.g. M/H)
  • Creating the Mie scattering Database
• Running the code
  • Simple Isothermal/Constant \(K_{z}\) Example
  • Exploring dict Output
• Analyzing your output
  • PT Profile with Condensation Curves
  • Cumulative Optical Depth By Gas
  • Visualize Optical Depth, Asymmetry, and Single Scattering
  • Particle Radii
  • Mean Mass Mixing Ratio of the Condensates
• Different Options for Vertical Mixing
  • Toy Model: Supply Constant K\(_z\)
  • Informed: Compute K\(_z\) from convective heat flux
  • Analyze different \(K_z\) formalism via convective heat flux
  • More informed: Input K\(_z\) from external model
  • Analyze different \(K_z\) formalism via external input

Pairing Cloud Models to Spectroscopy

• Understanding how cloud models effect spectroscopy
  • Submit virga run within picaso
  • Analyzing Cloudy versus Cloud-free
  • How varying cloud species affects reflectance spectrum
  • How sedimentation efficiency affects albedo spectrum?
  • How \(K_{z}\) affects albedo spectrum?

Changing out Index of Refraction

• How to see what optical properties are being used
• Creating aggregated Index of Refraction (IOR) Files
• Now follow through with new Mie parameters

Adding Cloud Complexity

• Adding a Variable \(f_\text{sed}\)
  • Variable \(f_\text{sed}\) expression
  • Additional flexibility
• Compare constant to variable \(f_\text{sed}\) calculations

Switch to Direct Solver

• Direct solver
  • Mean Mass Mixing Ratio of the Condensates
  • Particle Radii
  • Cumulative Optical Depth By Gas
  • Visualize Optical Depth, Asymmetry, and Single Scattering
  • Calculating particle distributions

Flexible Cloud Layers

• Custom Aerosol Layer
  • Load Custom Particle Radius Distribution
  • Compute Mie Parameters for Custom Radius Grid
• Custom Cloud Layer
  • Pick the Cloud Distribution Function
  • Pick \(f_{sed}\) and cloud base pressure
  • Now run PICASO