View this DOI at https://doi.org/10.18758/71021092
Any associated files can be found in the Associated Files section below.
Creators
Didier Fussen
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Resource Type
Dataset
Publisher
Royal Belgian Institute for Space Aeronomy
Publication Year
2024
Titles
Software and Datafiles subtending the application of the Ozone Nural Network Inversion (ONNI) method for limb scattering geometries
Language
en
Description
Matlab datafiles can be read by OCTAVE free software. 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.
Funding References
Formats
Version
Rights List
CC-BY-NC-SA 4.0
Sizes

Associated files

71021092_aerSet3.mat71021092_airSet1.mat71021092_bigRun25.mat71021092_br25Ana2.mat71021092_buildBigXY21.m71021092_nniOz3.m71021092_nniOz3a.m71021092_nnitrain19.m71021092_ozSet12.mat71021092_readme1.txt

Your Citation (AGU-style)

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