AMGeO

AMGeO is a collaborative data science platform for the geospace science community for bringing together a diverse set of heterogeneous geospace observations from NSF-funded facility programs and individual community users to obtain complete maps of high-latitude ionospheric electrodynamics for scientific discovery and space weather research. The platform is made of the AMGeO open-source software and web application services that facilitate the data acquisition and pre-processing steps that are otherwise prohibitively labor-intensive. It is developed at the University of Colorado Boulder by the AMGeO Team, with support from the NSF Earth Cube program.

The AMGeO open-source software is designed to streamline data access, collection, preprocessing, and quality control steps with data assimilation analysis steps to support accessible, reproducible and transparent data science practices in the geospace science community. AMGeO helps accelerate data science processes by transforming raw data into discovery enabling forms. AMGeO implements data assimilation analysis steps expanded, as summarized in Matsuo (ISSI Scientific Report Series, 2020), from the Assimilative Mapping of Ionospheric Electrodynamics (AMIE) procedure originally developed by Richmond and Kamide (JGR, 1988). AMGeO's web application services facilitate the data acquisition of plasma drift data distributed from the SuperDARN Website, ground-based magnetometer data distributed from the SuperMAG Website, and space-based magnetometer data distributed from the AMPERE Website in the form expected by the AMGeO software.

Model must be able to access the internet to contact the University of Colorado AMGeO Data Service and NASA OmniWeb to get required data for assimilative procedure.

Model must be configured to provide valid authentication information for the AMGeO Data Service (a valid API token from https://amgeo.colorado.edu/).

Model must be configured to provide valid authentication to each community data service used by AMGeO (as of v1.0 a valid username for https://supermag.jhuapl.edu/).

Date, time, and hemisphere of interest (north or south) as well as SuperDARN, SuperMAG, or AMPERE username(s)

Ionospheric electric potential, electric field, hall and pedersen conductance, joule heating rate (all quanties specified on a 24 x 37 magnetic latitude / magnetic local time grid)

Version 3.0.8 was deployed on the CCMC ROR system on July 31, 2025.

If you plan on using AMGeO analysis results in the publication, the acknowledgements section of the publication should include: "The assimilative mapping analysis is produced with the use of the AMGeO open source software version 3 (doi:10.5281/zenodo.3564915) available upon registration at https://amgeo.colorado.edu/. The authors acknowledge the use of data obtained from SuperDARN, SuperMAG, and AMPERE for the period of [ ]"

AMPERE "We thank the AMPERE team and the AMPERE Science Data Center for providing data products derived from the Iridium Communications constellation, enabled by support from the National Science Foundation."

See more information on how to acknowledge the use of AMPERE data

SuperMAG "For the ground magnetometer data we gratefully acknowledge: INTERMAGNET, Alan Thomson; CARISMA, PI Ian Mann; CANMOS, Geomagnetism Unit of the Geological Survey of Canada; The S-RAMP Database, PI K. Yumoto and Dr. K. Shiokawa; The SPIDR database; AARI, PI Oleg Troshichev; The MACCS program, PI M. Engebretson; GIMA; MEASURE, UCLA IGPP and Florida Institute of Technology; SAMBA, PI Eftyhia Zesta; 210 Chain, PI K. Yumoto; SAMNET, PI Farideh Honary; IMAGE, PI Liisa Juusola; Finnish Meteorological Institute, PI Liisa Juusola; Sodankylä Geophysical Observatory, PI Tero Raita; UiT the Arctic University of Norway, Tromsø Geophysical Observatory, PI Magnar G. Johnsen; GFZ German Research Centre For Geosciences, PI Jürgen Matzka; Institute of Geophysics, Polish Academy of Sciences, PI Anne Neska and Jan Reda; Polar Geophysical Institute, PI Alexander Yahnin and Yarolav Sakharov; Geological Survey of Sweden, PI Gerhard Schwarz; Swedish Institute of Space Physics, PI Masatoshi Yamauchi; AUTUMN, PI Martin Connors; DTU Space, Thom Edwards and PI Anna Willer; South Pole and McMurdo Magnetometer, PI's Louis J. Lanzarotti and Alan T. Weatherwax; ICESTAR; RAPIDMAG; British Artarctic Survey; McMac, PI Dr. Peter Chi; BGS, PI Dr. Susan Macmillan; Pushkov Institute of Terrestrial Magnetism, Ionosphere and Radio Wave Propagation (IZMIRAN); MFGI, PI B. Heilig; University of L’Aquila, PI M. Vellante; BCMT, V. Lesur and A. Chambodut; Data obtained in cooperation with Geoscience Australia, PI Andrew Lewis; PENGUIn, co-PIs Bob Clauer, Michael Hartinger, and Zhonghua Xu; MagStar, PI Jennifer Gannon; LISN PI Cesar Valladares; Geophysical and Astronomical Observatory of the University of Coimbra, PI Paulo Ribeiro; Leibniz Institute of Atmospheric Physics, PI Jorge Chau; SuperMAG, PI Jesper W. Gjerloev; Data obtained in cooperation with the Australian Bureau of Meteorology, PI Richard Marshall.

See more information on how to acknowledge the use of SuperMAG data

SuperDARN "The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom, and the United States of America."

See more information on how to acknowledge the use of SuperDARN data.