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 | 41.2 MB |
Additional info
| Data last updated | April 25, 2024 |
|---|---|
| Metadata last updated | August 20, 2024 |
| Created | April 25, 2024 |
ozSet12
summary of the LTS ozone profiles:
| Name | Size | Bytes | Class | Attributes |
| ------- | ------- | -------- | -------- | ------------- |
| A | 25600x20 | 4096000 | double | 20 first coefficients (related to the PCA in bigRun25.mat) |
| n0 | 101x1 | 808 | double | arbitraty air number density [cm^-3] average profile used for all vmr conversions |
| noz | 25600x101 | 20684800 | double | all ozone number density [cm^-3] profiles |
| ozCell | 1x10 | 1305960 | cell | same as in bigRun25.mat |
| vmr | 25600x101 | 20684800 | double | all ozone vmr [ppm] profiles |