Pro‐L* ‐ A Probabilistic L* Mapping Tool for Ground Observations
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. Glob...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-02-01
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| Series: | Space Weather |
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| Online Access: | https://doi.org/10.1029/2020SW002602 |
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| _version_ | 1841536424556363776 |
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| author | Rhys L. Thompson Steven K. Morley Clare E. J. Watt Sarah N. Bentley Paul D. Williams |
| author_facet | Rhys L. Thompson Steven K. Morley Clare E. J. Watt Sarah N. Bentley Paul D. Williams |
| author_sort | Rhys L. Thompson |
| collection | DOAJ |
| description | 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 subauroral) 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 grid in the Earth’s Northern Hemisphere. We have developed the probabilistic model using 11 years of L* calculations for seven 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. |
| format | Article |
| id | doaj-art-9fdafae6bb8d4825b9cf86fa821f5e47 |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2021-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-9fdafae6bb8d4825b9cf86fa821f5e472025-01-14T16:30:32ZengWileySpace Weather1542-73902021-02-01192n/an/a10.1029/2020SW002602Pro‐L* ‐ A Probabilistic L* Mapping Tool for Ground ObservationsRhys L. Thompson0Steven K. Morley1Clare E. J. Watt2Sarah N. Bentley3Paul D. Williams4Department of Mathematics and Statistics University of Reading Reading UKSpace Science and Applications Los Alamos National Laboratory Los Alamos NM USADepartment of Meteorology University of Reading Reading UKDepartment of Meteorology University of Reading Reading UKDepartment of Meteorology University of Reading Reading UKAbstract 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 subauroral) 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 grid in the Earth’s Northern Hemisphere. We have developed the probabilistic model using 11 years of L* calculations for seven 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.https://doi.org/10.1029/2020SW002602adiabatic invariantsCARISMAground magnetometersIMAGEstochastic modelingSuperMAG |
| spellingShingle | Rhys L. Thompson Steven K. Morley Clare E. J. Watt Sarah N. Bentley Paul D. Williams Pro‐L* ‐ A Probabilistic L* Mapping Tool for Ground Observations Space Weather adiabatic invariants CARISMA ground magnetometers IMAGE stochastic modeling SuperMAG |
| title | Pro‐L* ‐ A Probabilistic L* Mapping Tool for Ground Observations |
| title_full | Pro‐L* ‐ A Probabilistic L* Mapping Tool for Ground Observations |
| title_fullStr | Pro‐L* ‐ A Probabilistic L* Mapping Tool for Ground Observations |
| title_full_unstemmed | Pro‐L* ‐ A Probabilistic L* Mapping Tool for Ground Observations |
| title_short | Pro‐L* ‐ A Probabilistic L* Mapping Tool for Ground Observations |
| title_sort | pro l a probabilistic l mapping tool for ground observations |
| topic | adiabatic invariants CARISMA ground magnetometers IMAGE stochastic modeling SuperMAG |
| url | https://doi.org/10.1029/2020SW002602 |
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