SW_IBP_CLI_2_

Climatological model of ionospheric bubble probability

Thematic areas: Ionosphere/Magnetosphere, Space Weather

Applicable missions: Swarm

Applicable spacecraft: Swarm-A, Swarm-B, Swarm-C

Description

Climatological model of ionospheric bubble probability

Data access

FAST processing

N/A

Preview image

(delivered separately)

File contents

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

More 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

Changelog

N/A