RT Retrieval Framework

Jet Propulsion Laboratory, California Institute of Technology.

Copyright 2016 California Institute of Technology. U.S. Government sponsorship acknowledged.

This software (NASA NTR-49044) retrieves a set of atmospheric/surface/instrument parameters from a simultaneous fit to spectra from multiple absorption bands. The software uses an iterative, non-linear retrieval technique (optimal estimation). After the retrieval process has converged, the software performs an error analysis. The products of the software include all quantities needed to understand the information content of the measurement, its uncertainty, and its dependence on interfering atmospheric properties.

The software provides a flexible, efficient, and accurate tool to retrieve the atmospheric composition from near-infrared spectra. Its unique features are:

• Spectra from ground-based or space-based measurement with arbitrary observation geometry can be analyzed.
• The retrieved parameters can be chosen from a large set of atmospheric (e.g., volume mixing ratio of gases or aerosol optical depth), surface (e.g., Lambertian reflection), and instrument (e.g., spectral shift or instrument line shape parameters) parameters.
• The software uses an accurate, state-of-the-art, multiple-scattering radiative transfer code combined with an efficient polarization approximation to simulate measured spectra.
• The software enables fast and highly accurate simulations of broad spectral ranges by an optional parallelization of the frequency processing in the radiative transfer model.

Table of Contents

• Setup
  • Obtaining the Code
  • Enviroment Setup
  • Development Environment Organization
• System Configuraiton
  • Memory Requirements
  • Python Requirements
  • Compilers Versions
  • Linux System Setup
  • OS X System Setup
• Compilation
  • Building
  • Build Results
  • Using Other Compilers
  • Build Options
  • Debugging
  • Developer Information
• Testing
  • Unit Testing
  • Unit Testing Variables
  • End-to-End Test
• Runs Setup
  • Populator Usage
  • Populator Data Sources
  • Populator Config File Creation
  • Run Directory Population
• Lua Configuration
  • Indexing
  • Organization
  • Config Common
  • Base Config
  • config.lua
  • Examples
• Running Jobs
  • Running L2 FP Through Populator Produced Scripts
  • Additional Cluster Documentation
• Python Wrappers
  • Building
  • Running
  • Examples
  • Python Callback
• Developer’s Information
  • Introduction
  • Build System
  • Platform Information
  • Design Information
• Other Documentation
  • ATBD
  • Doxygen
  • Python
• Acronyms