Published March 31, 2020
| Version v2
Dataset
Open
Data and code for paper "A gray-box model for a probabilistic estimate of regional ground magnetic perturbations: Enhancing the NOAA operational Geospace model with machine learning"
Creators
- 1. University of Colorado
- 2. NOAA
- 3. University of Michigan
Description
Simulation results from the NOAA/SWPC Geospace model used in the paper Camporeale et al. (2020) "A gray-box model for a probabilistic estimate of regional ground magnetic perturbations: Enhancing the NOAA operational Geospace model with machine learning" published in J. Geophys. Res. (2020)
MATLAB code is provided to train process the data and train the machine learning model and plot results.
Manuscript available on https://arxiv.org/abs/1912.01038
Files
data_and_code_Camporeale_et_al_JGR_2020.zip
Files
(1.3 GB)
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663 Bytes | Download |
md5:c83bee0bf03a0676eed42beeb72cc449
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199.1 MB | Download |
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174.3 MB | Download |
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md5:13863d0f27d973a6c2b7f104a2046a73
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1.7 kB | Download |
md5:a2c69cea4ec8699c0db37242a855bf08
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1.7 kB | Download |
Additional details
References
- arXiv:1912.01038