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Published May 26, 2020 | Version v1
Dataset Open

Dataset: Random forest models of ultra-low frequency magnetospheric wave power.

  • 1. University of Reading

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

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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