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 | 111.9 kB |
Additional info
| Data last updated | April 25, 2024 |
|---|---|
| Metadata last updated | August 20, 2024 |
| Created | April 25, 2024 |
br25Ana2
contains the statistical analysis of the LTS radiance profiles computed by smartG:
for safety, LTS cases are screened against possible outliers, before training the neural network.
Only cases lying between 5% and 95 % percentiles will be retained.
| Name | Size | Bytes | Class | Attributes |
| ------- | ------- | -------- | -------- | ------------- |
| LOKI | 25600x8 | 1638400 | double | logical index for screened cases Stokes I |
| LOKQ | 25600x8 | 1638400 | double | logical index for screened cases Stokes Q |
| LOKU | 25600x8 | 1638400 | double | logical index for screened cases Stokes U |
| PI | 2x61x8 | 7808 | double | 5 % and 95 % percentiles for Stokes I |
| PQ | 2x61x8 | 7808 | double | 5 % and 95 % percentiles for Stokes Q |
| PU | 2x61x8 | 7808 | double | 5 % and 95 % percentiles for Stokes U |