MFACE is a high-resolution field-aligned currents model derived from ten years of CHAMP data with a novel technique based on EOF decomposition. Predictor variables include MLat, MLT, DoY, IMF conditions, Vsw and AE index. Compared to existing models, MFACE yields significantly better spatial resolution, reproduces typically observed FAC thickness and intensity, improves on the magnetic local time distribution, and gives the seasonal dependence of FAC latitudes and the NBZ current signature. Our EOF decomposition reveals that EOF1 represents mainly the Bz-controlled large scale R1/R2 current pattern whereas EOF2 represents the By-controlled cusp current signature.
For details cf.
http://dx.doi.org/10.1029/2012GL053168
http://dx.doi.org/10.1002/2014JA019776
http://www.faculty.jacobs-university.de/jvogt/mface/
Aurora current evolution at quiet levels of geomagnetic activity
https://youtu.be/wxuOZqJwjMs

Project Activity

See All Activity >

Follow MFACE

MFACE Web Site

Other Useful Business Software
Go From AI Idea to AI App Fast Icon
Go From AI Idea to AI App Fast

One platform to build, fine-tune, and deploy ML models. No MLOps team required.

Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of MFACE!

Additional Project Details

Registered

2013-09-30