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) [Dataset]. Royal Belgian Institute for Space Aeronomy. https://doi.org/10.18758/71021092
Technical info
| Resource format | mat |
|---|---|
| Resource size | 18.6 MB |
Additional info
| Data last updated | April 25, 2024 |
|---|---|
| Metadata last updated | August 20, 2024 |
| Created | April 25, 2024 |
airSet1
summary of the LTS air profiles:
| Name | Size | Bytes | Class | Attributes |
| ------- | ------- | -------- | -------- | ------------- |
| Aair | 25600x5 | 1024000 | double | 5 first coefficients (PCA in bigRun25.mat) of air number log-density [cm^-3] profiles |
| airCell | 1x10 | 1305960 | cell | same as for ozCell in bigRun25.mat with air log-densities insteasd of ozone vmr |
| lair | 25600x101 | 20684800 | double | all air log (number densities) |