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Short product names
SW_IBP_CLI_2_
Full product name
Climatological model of ionospheric bubble probability
Description
This product contains a climatological model of ionospheric bubble probability.
Data Access
- Files
- HTTPS (Product files): https://swarm-diss.eo.esa.int/#swarm/Level2longterm/IBP
- FTP (Product files): ftp://swarm-diss.eo.esa.int/Level2longterm/IBP
Output variables
| Variable | Units | Description | Dim | Type |
|---|---|---|---|---|
| Parameters | - | Bubble Parameters | 1 | CDF_DOUBLE |
| Intensity | - | Periodic Signal Intensity | 1 | CDF_DOUBLE |
| Monthly_LT_Shift | 1 | Density estimations table, 12 month | 12 | CDF_DOUBLE |
| Density_Estimators | 1 | Density estimations table, 12 month | 12 | CDF_DOUBLE |
| Density_Estimator_Lons | degree | Longitudes of density estimations table | 1 | CDF_DOUBLE |
Details
| Product Identifier | IBP_CLI_2_ |
|---|---|
| Definition | Climatological model of ionospheric bubble probability |
| Input data | IBIxTMS_2F, AUX_F10_2, Bubble detection index of CHAMP vector magnetic field data (similar procedure as for IBIxTMS_2F) |
| Input time span | Entire Swarm mission + entire CHAMP mission |
| Spatial representation | Low geographic latitudes (ITRF) < 45°, continuous in geographic longitude (ITRF) |
| Time representation | 1 LT hour |
| Units | N/A ([0-1]: probability) |
| Resolution | 0.01 |
| Uncertainty | See presentation 8th SDQW (https://earth.esa.int/web/guest/missions/esa-eo-missions/swarm/activities/conferences/8th-data-quality-workshop#Wednesday) |
| Quality indicator | N/A |
| Data volume | Approximately 100 kB per file |
| Data format | CDF |
| Output data | Probability estimation by longitude, LT, day of year, F10.7 |
| Output time span | Model is based on data from entire CHAMP and Swarm missions, but it is in valid for any time of solar flux 80 < F10.7 < 200 sfu; resolution: 1 LT hour |
| Update rate | half-yearly |
| Latency | Two months |
| Notes | The coefficient file, the applicable forward modelling code (in Python), and related documentation are available at https://igit.iap-kborn.de/ibp/ibp-model |
Related resources
Software repository for Python package: https://igit.iap-kborn.de/ibp/ibp-model
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