OMB Individually Reported
Specifying Properties Of Dayside Magnetopause Reconnection From A Machine-Learning Model For The Earth'S Cusps
Low riskExact public inventory row
Description
Implementation of models of the magnetospheric CUSP using in-situ ion flux data from ESA's Cluster mission and DMSP spacecraft. The models produce 3-D ion flux distributions in response to solar wind parameters such as density, velocity and magnetic field.
Detailed example
Predictions of the structure of the cusp in response to solar wind parameters
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Can provide information regarding dayside magnetic reconnection which is the main process that describes the energy transfer between the Sun and Earth.
Controls / human review
ATO: Not reported; PIA: Not published