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)
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)
- High Latitude Ionosphere / Auroral Region
- Ionosphere Electrodynamics
- Cross-polarcap Electric Potential
- A Collaborative Data Science Platform for the Geospace Community: Assimilative Mapping of Geospace Observations (AMGeO) v1.0.0A Collaborative Data Science Platform for the Geospace Community: Assimilative Mapping of Geospace Observations (AMGeO) v1.0.0
Code Languages: Python
- Liam Kilcommons, University of Colorado, Boulder (Model Developer)
- Tomoko Matsuo, University of Colorado, Boulder (Model Developer)
- Katherine Garcia-Sage, NASA/GSFC (CCMC Model Host)
- Jia Yue, NASA/GSFC (CCMC Model Host)
In any publication of the results of research performed using the AMGeO software or a modified version of the AMGeO software, attribution to the AMGeO Collaboration is required by citing the appropriate digital object identifier for the version of the AMGeO software used. For the AMGeO v1.0.0, the technical report (doi:10.5281/zenodo.3564914) should be referenced.
In addition to any model-specific policy, please refer to the General Publication Policy.