Skip to content

hgpeterson/mebm

master
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Moist Energy Balance Model (mebm)

License: GPL v3

About

This repository contains a simple Python package for a moist energy balance model (mebm). The model is used in Peterson and Boos (2020) to analyze feedbacks and eddy diffusivity in the context of tropical rainfall shifts. Features include

  • Easily customizable initial conditions, albedo, insolation, and outgoing longwave radiation schemes
  • Efficient and scalable multigrid numerical scheme
  • Ability to perturb insolation (as in Clark et al. 2018) and analyze energy flux equator (EFE) shifts.

Getting Started

See the documentation here to get started.

Contact

For questions and suggestions, either submit an issue here or send an email to hgpeterson "at" caltech "dot" edu.

References

Clark, S.K., Y. Ming, I.M. Held, P.J. Phillipps, 2018: The Role of the Water Vapor Feedback in the ITCZ Response to Hemispherically Asymmetric Forcings. Journal of Climate. 31, 3659–3678.

Peterson, H. and W. Boos, 2020: Feedbacks and Eddy Diffusivity in an Energy Balance Model of Tropical Rainfall Shifts. npj Climate and Atmospheric Science. 3, 11.

About

A moist energy balance model used to analyze feedbacks and eddy diffusivity in the context of ITCZ dynamics.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages