Software and Datafiles subtending the application of the Ozone Neural Network Inversion (ONNI) method for limb scattering geometries

The resource contains the input data produced by the SMART-G radiative transfer model for 25600 cases in limb geometry. The used atmospheric profiles for ozone, aerosol, air are collecte in different files as well as particle size parameters, albedo and solr angles.

The software routines allows for the normalization and screening of the radiative data. The neural network training and its output ONNI routine are made available.

  • bigRun25.mat: contains the LTS radiance profiles computed by smartG
  • br25Ana2.mat: contains the statistical analysis of the LTS radiance profiles computed by smartG
  • ozSet12.mat: summary of the LTS ozone profiles
  • aerSet3.mat: summary of the LTS aerosol profiles
  • airSet1.mat: summary of the LTS air profiles

Matlab datafiles can be read by OCTAVE free software.

Data and Resources

Tags and groups

Cite this as (APA format)

Fussen, D. (2024). Software and Datafiles subtending the application of the Ozone Neural Network Inversion (ONNI) method for limb scattering geometries (Version 1) [Data set]. Royal Belgian Institute for Space Aeronomy. https://doi.org/10.18758/71021092
Retrieved: 06:42 08 Dec 2024 (UTC)
Users of this DOI are kindly encouraged to contact the author(s) for help and cooperation towards further successful utilisation.

Author(s)
Principal

Fussen, Didierorcid, Royal Belgian Institute for Space Aeronomy
Other(s)

/
Contact data-contact of Royal Belgian Institute for Space Aeronomy

Technical info

Temporal features

Additional info
Repository homepage

https://data.aeronomie.be/dataset/
Last Updated

August 23, 2024
Created

April 25, 2024

Spatial features

No spatial information