PRIME (Probabilistic Regressor for Input to the Magnetosphere Estimation) is a probabilistic algorithm that uses solar wind time history from L1 monitors to generate predictions of near-Earth solar wind with uncertainties. Install the python implementation of PRIME with
pip install primesw
For usage, read the documentation.
For information on PRIME, including results from its validation and caveats on its use, please see the paper. For codes used to create the figures in the paper, see the 'paper' subdirectory. CDFs of PRIME's outputs are being compiled and will be included in a future release.
If you make use of PRIME, please cite it:
@article{obrien_prime_2023,
title = {{PRIME}: a probabilistic neural network approach to solar wind propagation from {L1}},
volume = {10},
issn = {2296-987X},
shorttitle = {{PRIME}},
url = {https://www.frontiersin.org/articles/10.3389/fspas.2023.1250779/full},
doi = {10.3389/fspas.2023.1250779},
urldate = {2023-11-13},
journal = {Frontiers in Astronomy and Space Sciences},
author = {O’Brien, Connor and Walsh, Brian M. and Zou, Ying and Tasnim, Samira and Zhang, Huaming and Sibeck, David Gary},
month = sep,
year = {2023},
pages = {1250779},
}