Atmospheric Inverse Methods for Flux Optimization

This package contains functions and classes developed for the application of inverse methods to the optimization of carbon dioxide surface fluxes using atmospheric mixing ratio measurements. Derivations of the equations and terminology are given in the section on the theory. The User Guide walks through an example of using the code.

Inversion Theory

• What is an Inverse Problem?
  • Forward Problem
  • Inverse problem
    • Initial and Boundary Conditions
  • References
• Mathematical Formalism for Atmospheric Flux Inversions
  • Terminology
  • Methodology
    • Best Linear Unbiased Estimator
    • Generalized Least Squares Estimator
    • Maximum Likelihood Estimator
    • Bayesian Estimator
• Flux representation for inversions
  • Direct
  • Scaling Factor
  • Larger Basis Functions
• Influence Functions
  • Foreward Model
  • Adjoint Model
  • References

User Guide

• Inversion User Guide

API Reference

• atmos_flux_inversion package
  • Submodules
    • Classes for defining covariances
      • atmos_flux_inversion.correlations module
      • atmos_flux_inversion.covariances module
    • Inversion functions
      • atmos_flux_inversion.optimal_interpolation module
      • atmos_flux_inversion.variational module
      • atmos_flux_inversion.psas module
    • High-level wrappers
      • atmos_flux_inversion.wrapper module
    • Other utilities
      • atmos_flux_inversion.linalg module
      • atmos_flux_inversion.noise module
      • atmos_flux_inversion.util module
  • Module contents

Indices and tables

• Index

• Module Index

• Search Page

Code Repository

The main code repository for this package is hosted by the PSU-inversion GitHub organization.