Documentation of DUBFI

The Dynamic Uncertainty Bayesian Flux Inversion (DUBFI) package implements an estimation of fluxes into the atmosphere based on observations of atmospheric composition and an Eulerian transport model. It provides linear algebra routines for Bayesian inversions and tools for reading and filtering observation data.

To get started, consider the scientific Introduction to the topic and the Overview and Installation for this packages.

User guide

• User Guide
  • Overview and Installation
    • Functionality
    • Installation
    • Test your installation
    • User interface
    • Module Overview
  • Running inversions
  • Data Interfaces
    • General
    • Input
    • Output
  • Inversion configuration
    • Processing the configuration
    • General settings
    • Input data filtering
    • Uncertainty matrix R
    • Inversion
    • Example
  • Linear Algebra Implementations
    • Dense matrices
    • CSC sparse matrices
    • MPI with dense matrices
  • Software Structure
    • Linear Algebra
    • Generic Inversion
    • Application to real data
    • MPI worker processes

Scientific documentation

• Scientific documentation
  • Introduction
  • Bayesian Inversion Problem
    • Basic assumptions
    • Computing \(P(y|s)\)
    • Result for \(P(s|y)\)
    • Modeling uncertainties
    • Bias problem
  • Filtering observations
    • Coordinate filtering
    • Data-based filtering
  • R-matrix and uncertainties
    • Transport uncertainty
    • Lateral boundary conditions
    • Flux ensemble
    • Uncorrelated uncertainties
    • Uncertainty inflation
    • Inflation and final result
    • Special case: Diagonal R matrix
  • Cycling
    • Prior scaling factors
    • Prior B matrix

Code documentation

• API Reference
  • Submodules
    • dubfi.__main__
    • dubfi.fluxes
    • dubfi.inversion
    • dubfi.linalg
    • dubfi.meta
    • dubfi.profile_util
    • dubfi.tests
    • dubfi.util
  • Functions
  • Package Contents
    • set_log_file()
    • quit_clean()