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Pro‐ L * ‐ A Probabilistic L * Mapping Tool for Ground Observations
- Source :
- Space Weather. 19
- Publication Year :
- 2021
- Publisher :
- American Geophysical Union (AGU), 2021.
-
Abstract
- Both ground and space observations are used extensively in the modeling of space weather processes within the Earth's magnetosphere. In radiation belt physics modeling, one of the key phase‐space coordinates is L*, which indicates the location of the drift paths of energetic electrons. Global magnetic field models allow a subset of locations on the ground (mainly sub‐auroral) to be mapped along field lines to a location in space and transformed into L*, provided that the initial ground location maps to a closed drift path. This allows observations from ground, or low‐altitude space‐based platforms to be mapped into space in order to inform radiation belt modeling. Many data‐based magnetic field models exist; however these models can significantly disagree on mapped L* values for a single point on the ground, during both quiet times and storms. We present a state of the art probabilistic L* mapping tool, Pro‐L*, which produces probability distributions for L* corresponding to a given ground location. Pro‐L* has been calculated for a high resolution magnetic latitude by magnetic local time (MLT) grid in the Earth's northern hemisphere. We have developed the probabilistic model using 11 years of L* calculations for 7 widely used magnetic field models. Usage of the tool is highlighted for both event studies and statistical models, and we demonstrate a number of potential applications.
- Subjects :
- Atmospheric Science
010504 meteorology & atmospheric sciences
Field line
Probabilistic logic
Magnetosphere
Statistical model
F500
Geophysics
Space weather
01 natural sciences
symbols.namesake
Local time
Van Allen radiation belt
0103 physical sciences
symbols
Probability distribution
010303 astronomy & astrophysics
Geology
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 15427390
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Space Weather
- Accession number :
- edsair.doi.dedup.....bdb12b66100fcfcd4ed59c893fc6827f
- Full Text :
- https://doi.org/10.1029/2020sw002602