Development of a High-Latitude Convection Model by Application of Machine Learning to SuperDARN Observations

Keyphrases

• High Latitude 100%
• Convection Model 100%
• Network Observation 100%
• Machine Learning Applications 100%
• Super Dual Auroral Radar Network 100%
• Convective Patterns 66%
• Convection 33%
• Magnetic Field Component 33%
• Northern Hemisphere 33%
• Machine Learning Techniques 33%
• Velocity Components 33%
• Machine Learning 33%
• Mapping Method 33%
• Magnetic Pole 33%
• Random Forest Regression 33%
• Machine Learning Algorithm Random Forest 33%
• Bin Size 33%
• Separation Model 33%
• Mean Square Difference 33%
• Baker 33%
• Geomagnetic Latitude 33%
• Interplanetary Magnetic Field 33%
• Potential Map 33%
• SYM-H 33%
• Substorm 33%
• Magnetic Local Time 33%
• Solar Wind Velocity 33%

Earth and Planetary Sciences

• Machine Learning 100%
• Radar Networks 100%
• Thermodynamics 100%
• Magnetism 50%
• Northern Hemisphere 25%
• Magnetic Pole 25%
• Interplanetary Magnetic Field 25%
• Substorm 25%
• Solar Wind Velocity 25%