Citation, source missions, software, tutorials, and contact for the teams maintaining MIDL at the University of Michigan.
A manuscript describing this dataset has been submitted to Space Weather. In the meantime, cite the dataset via its Zenodo DOI:
DiMarco, C. C., Tóth, G., and Pulkkinen, T. I. (2026). MIDL-Snapshot-v0.9.0-04-24-2026 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.19742679
@misc{dimarco_2026_midl, author = {DiMarco, Connor C. and T{\'o}th, G{\'a}bor and Pulkkinen, Tuija I.}, title = {MIDL-Snapshot-v0.9.0-04-24-2026}, year = {2026}, publisher = {Zenodo}, doi = {10.5281/zenodo.19742679}, url = {https://doi.org/10.5281/zenodo.19742679} }
Please include the following in your paper:
We acknowledge the use of the MIDL (Merged Interplanetary Data from L1) dataset produced by C. DiMarco, G. Tóth, and T. Pulkkinen at the University of Michigan. The MIDL dataset is built from measurements provided by the ACE, DSCOVR, WIND, and SOLAR-1 spacecraft teams. We thank the ACE MAG (Smith et al., 1998) and SWEPAM (McComas et al., 1998) instrument teams, the DSCOVR magnetometer and Faraday Cup instrument teams (Loto'aniu et al., 2022), the WIND MFI (Lepping et al., 1995) and SWE (Ogilvie et al., 1995) instrument teams, and the SOLAR-1 MAG instrument team for making their data publicly available. ACE and WIND data were obtained from NASA's Coordinated Data Analysis Web (CDAWeb). DSCOVR and SOLAR-1 data were obtained from NOAA's National Centers for Environmental Information (NCEI). MHD-propagated data products were generated using the BATSRUS code (Tóth et al., 2012), developed at the Center for Space Environment Modeling, University of Michigan.
The MIDL dataset is built from publicly available measurements and software:
MHD model of the solar wind across the ecliptic plane, providing continuous plasma data from 1 to 75 AU for any spacecraft or location.
Visit MSWIM2D →Merge MIDL L1 data with external satellite sources to achieve multi-source quality in the 1998–2004 ACE-only era. Demonstrates downloading IMP-8 data from CDAWeb, propagating to a common position, merging with midl.merge(), and propagating the result to 14 RE.
For questions about the dataset or algorithm:
Climate and Space Sciences and Engineering, University of Michigan