Published May 26, 2020
| Version v1
Dataset
Open
Dataset: Random forest models of ultra-low frequency magnetospheric wave power.
Description
Predictive models of ground-based ultra-low frequency (ULF, 1-15 mHz) wave power, corresponding to magnetospheric waves. The series of decision tree ensembles (random forests) are dependent on solar wind properties, latitude and azimuthal angle around the Earth (magnetic local time, MLT).
Files
DocumentationRandomForestsDataStorage.pdf
Files
(10.5 GB)
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md5:418d86f2bacd1979e31410ff92f3dfff
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1.4 GB | Preview Download |
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md5:cab34f631ed673775479a4c7dc0913c2
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1.2 GB | Preview Download |
Additional details
Funding
- STFC Reading 2017 DTP ST/R505031/1
- UK Research and Innovation
- Reading Solar System Science ST/R000921/1
- UK Research and Innovation
- Modelling the acceleration, transport and loss of radiation belt electrons to protect satellites from space weather (Rad-Sat) NE/P017274/1
- UK Research and Innovation