System and method for geomagnetic and ionospheric forecasting

A system for forecasting geomagnetic events and resulting ionospheric currents from ground and space weather data, including solar wind velocity data and interplanetary magnetic field data, the system comprising:

• a processor including:
• a first prediction generator for predicting a midnight equatorial boundary (MEB) value from the ground and space weather data;
• a second prediction generator for predicting a polar cap potential (PCP) value from the ground and space weather data;
• an AL and AU prediction generator for predicting AL and AU values from the ground and space weather data;
• means for generating a Kp-related value from the MEB value;
• an electric field pattern generator for determining electric field patterns from the Kp-related value, the PCP value, and the ground and space weather data;
• a conductivity generator for determining conductivity values from the ground and space weather data and the Kp-related value;
• and
• an adaptive feedback generator for adaptively generating geomagnetic parameters from the conductivity values, the electric field patterns, and the predicted AL and AU values using feedback, the geomagnetic parameters indicating the forecasted geomagnetic events and resulting ionospheric currents;
• wherein the processor forecasts geomagnetically induced voltages from the ground and space weather data, and determines such forecasted geomagnetically induced voltages as being hazardous to electric power line operation according to predetermined power hazard criteria.

A system for forecasting geomagnetic events and resulting ionospheric currents from ground and space weather data, including solar wind velocity data and interplanetary magnetic field data, the system comprising:

• a processor including:
• a first prediction generator for predicting midnight equatorial boundary (MEB) value from the ground and space weather data;
• a second prediction generator for predicting a polar cap potential (PCP) value from the ground and space weather data;
• an AL and AU prediction generator for predicting AL and AU values from the ground and space weather data;
• means for generating a Kp-related value from the MEB value;
• an electric field pattern generator for determining electric field patterns from the Kp-related value, the PCP value, and the ground and space weather data;
• a conductivity generator for determining conductivity values from the ground and space weather data and the Kp-related value;
• and
• an adaptive feedback generator for adaptively generating geomagnetic parameters from the conductivity values, the electric field patterns, and the predicted AL and AU values using feedback, the geomagnetic parameters indicating the forecasted geomagnetic events and resulting ionospheric currents;
• wherein the processor forecasts geomagnetically induced currents from the ground and space weather data, and determines such forecasted geomagnetically induced currents as being conducive to corrosive deterioration of pipelines according to predetermined current corrosion criteria.

A system for forecasting geomagnetic events and resulting ionospheric currents from ground and space weather data, including solar wind velocity data and interplanetary magnetic field data, the system comprising:

• a processor including:
• a first prediction generator for predicting a midnight equatorial boundary (MEB) value from the ground and space weather data;
• a second prediction generator for predicting a polar cap potential (PCP) value from the ground and space weather data;
• an AL and AU prediction generator for predicting AL and AU values from the ground and space weather data;
• means for generating a Kp-related value from the MEB value;
• an electric field pattern generator for determining electric field patterns from the Kp-related value, the PCP value, and the ground and space weather data;
• a conductivity generator for determining conductivity values from the ground and space weather data and the Kp-related value;
• and
• an adaptive feedback generator for adaptively generating geomagnetic parameters from the conductivity values, the electric field patterns, and the predicted AL and AU values using feedback, the geomagnetic parameters indicating the forecasted geomagnetic events and resulting ionospheric currents;
• wherein the processor forecasts geomagnetically induced voltages from the ground and space weather data, and determines such forecasted geomagnetically induced voltages as being conducive to corrosive deterioration of pipelines according to predetermined current corrosion criteria.

A system for forecasting geomagnetic events and resulting ionospheric currents from ground and space weather data, including solar wind velocity data and interplanetary magnetic field data, the system comprising:

• a processor including:
• a first prediction generator for predicting a midnight equatorial boundary (MEB) value from the ground and space weather data;
• a second prediction generator for predicting a polar cap potential (PCP) value from the ground and space weather data;
• an AL and AU prediction generator for predicting AL and AU values from the ground and space weather data;
• means for generating a Kp-related value from the MEB value;
• an electric field pattern generator for determining electric field patterns from the Kp-related value, the PCP value, and the ground and space weather data;
• a conductivity generator for determining conductivity values from the ground and space weather data and the Kp-related value;
• and
• an adaptive feedback generator for adaptively generating geomagnetic parameters from the conductivity values, the electric field patterns, and the predicted AL and AU values using feedback, the geomagnetic parameters indicating the forecasted geomagnetic events and resulting ionospheric currents;
• wherein the processor forecasts geomagnetically induced currents from the ground and space weather data, and determines such forecasted geomagnetically induced currents as being hazardous to long line communication circuit operation according to predetermined communication hazard criteria.

A system for forecasting geomagnetic events and resulting ionospheric currents from ground and space weather data, including solar wind velocity data and interplanetary magnetic field data, the system comprising:

• a processor including:
• a first prediction generator for predicting a midnight equatorial boundary (MEB) value from the ground and space weather data;
• a second prediction generator for predicting a polar cap potential (PCP) value from the ground and space weather data;
• an AL and AU prediction generator for predicting AL and AU values from the ground and space weather data;
• means for generating a Kp-related value from the MEB value;
• an electric field pattern generator for determining electric field patterns from the Kp-related value, the PCP value, and the ground and space weather data;
• a conductivity generator for determining conductivity values from the ground and space weather data and the Kp-related value;
• and
• an adaptive feedback generator for adaptively generating geomagnetic parameters from the conductivity values, the electric field patterns, and the predicted AL and AU values using feedback, the geomagnetic parameters indicating the forecasted geomagnetic events and resulting ionospheric currents;
• wherein the processor forecasts geomagnetically induced currents from the ground and space weather data, and determines such forecasted geomagnetically induced currents which produce harmonics in six sigma manufacturing processes according to predetermined harmonics generation criteria.

A system for forecasting geomagnetic events and resulting ionospheric currents from ground and space weather data, including solar wind velocity data and interplanetary magnetic field data, the system comprising:

• a processor including:
• a first prediction generator for predicting a midnight equatorial boundary (MEB) value from the ground and space weather data;
• a second prediction generator for predicting a polar cap potential (PCP) value from the ground and space weather data;
• an AL and AU prediction generator for predicting AL and AU values from the ground and space weather data;
• means for generating a KD-related value from the MEB value;
• an electric field pattern generator for determining electric field patterns from the Kp-related value, the PCP value, and the ground and space weather data;
• a conductivity generator for determining conductivity values from the ground and space weather data and the Kp-related value;
• and
• an adaptive feedback generator for adaptively generating geomagnetic parameters from the conductivity values, the electric field patterns, and the predicted AL and AU values using feedback, the geomagnetic parameters indicating the forecasted geomagnetic events and resulting ionospheric currents;
• wherein the processor forecasts regions of ionospheric irregularities and changes from the ground and space weather data, and determines such regions as indicating degraded accuracy of navigation systems according to predetermined navigation criteria.

A system for forecasting time-varying geomagnetic events and resulting time-varying ionospheric currents from ground and space weather data, including solar wind velocity data and interplanetary magnetic field data, the system comprising:

• a processor including:
• a first prediction generator for predicting a midnight equatorial boundary (MEB) value from the ground and space weather data;
• a second prediction generator for predicting a polar cap potential (PCP) value from the ground and space weather data;
• an AL and AU prediction generator for predicting AL and AU values from the ground and space weather data;
• means for generating a time-varying pseudo Kp value from the MEB value;
• an electric field pattern generator for determining time-varying electric field patterns from the pseudo Kp value, the PCP value, and the ground and space weather data;
• a conductivity generator for determining conductivity values from the ground and space weather data and the time-varying pseudo Kp value;
• and
• an adaptive feedback generator for adaptively generating time-varying geomagnetic parameters from the conductivity values, the time-varying electric field patterns, and the predicted AL and AU values using feedback, the time-varying geomagnetic parameters indicating the forecasted geomagnetic events and resulting ionospheric currents.