Ionospheric Bubble Probability
Project description
The ionospheric bubble probability statistical model is a Swarm L2 product, named IBP_CLI. The output of the Ionospheric Bubble Probability (IBP) product is an index, that depends on the day of year or the month of the year, geographic longitude, local time and solar flux index.
The output floating point index ranges 0-1 and characterizes the percentage probability of low latitude bubble occurence at the specified time, location and solar flux.
This empirical IBP model has been derived from magnetic observations obtained by the CHAMP and Swarm missions. The model is representative for the altitude range 350 - 500 km and low geographic latitudes of +/- 45 degree.
Documentation
Detailed documentation can be found at: https://ibp-model.readthedocs.io/en/latest/index.html
Quick Start
Installation
Using pip:
$ pip install ibpmodel
Dependencies:
numpy
pandas
matplotlib
scipy
cdflib
Usage
The return value of the function ibpmodel.ibpforward.calculateIBPindex() is of type pandas.DataFrame.
>>> from ibpmodel import ibpforward
>>> ibpforward.calculateIBPindex(day_month=15, # Day of Year or Month
longitude=0, # Longitude in degree
local_time=20.9, # Local time in hours
f107=150) # F10.7 cm Solar Flux index
Doy Month Lon LT F10.7 IBP
0 15 1 0 20.9 150 0.4041
>>> ibpforward.calculateIBPindex(day_month=['Jan','Feb','Mar'], local_time=22)
Doy Month Lon LT F10.7 IBP
0 15 1 -180 22 150 0.0851
1 15 1 -175 22 150 0.0775
2 15 1 -170 22 150 0.0734
3 15 1 -165 22 150 0.0749
4 15 1 -160 22 150 0.0838
.. ... ... ... .. ... ...
211 74 3 155 22 150 0.2031
212 74 3 160 22 150 0.1977
213 74 3 165 22 150 0.1941
214 74 3 170 22 150 0.1918
215 74 3 175 22 150 0.1905
[216 rows x 6 columns]
>>> ibpforward.plotIBPindex(doy=349)
>>>
>>> ibpforward.plotButterflyData(f107=150)
>>>
References
Stolle et al., An empirical climatological model of the occurrence of F region equatorial plasma irregularities, 8th Swarm data quality workshop at ESA/ESRIN, October 2017.
Lucas Schreiter, Anwendungsorientierte Modellierung der Auftretenswahrscheinlichkeit und relativen Häufigkeit von äquatorialen Plasmabubbles, Master’s thesis, Institute of Mathematics, University of Potsdam, 2016. (in German only.)
Project details
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