Planned intervention: On Wednesday April 3rd 05:30 UTC Zenodo will be unavailable for up to 2-10 minutes to perform a storage cluster upgrade.
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"

  • 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)

Name Size Download all
md5:9c5a1a3c01b5be387a493cca65dbe30a
689.4 MB Preview Download
md5:ed38da535a6a5e996d0a2fceefc12d77
1.5 kB Download
md5:2de1bd14d7b94d85657811b7db8088c0
663 Bytes Download
md5:c83bee0bf03a0676eed42beeb72cc449
3.8 kB Download
md5:7633b439774b73b5ef173909883ec131
7.6 kB Download
md5:4912ea07415b9787e2411757fc553e4a
199.1 MB Download
md5:3eee0df7755f63338f275c50c104ef5e
174.3 MB Download
md5:65aa0e5196e7e9c9ef60503397382eb3
193.2 MB Download
md5:13863d0f27d973a6c2b7f104a2046a73
1.7 kB Download
md5:a2c69cea4ec8699c0db37242a855bf08
1.7 kB Download

Additional details

References

  • arXiv:1912.01038