Method for lightning forecasting and alert system
A method and system for determining and displaying lightning potential information is provided. The method includes receiving a radar data and temperature data for a grid location. If the radar data is above a radar threshold and the temperature data is below a temperature threshold a predictor field is computed. One or more predictor fields may be used to determine a lightning potential. Fuzzy logic may be used to combine predictor fields into a lightning potential. A grid of lightning potential values may be used to determine the lightning potential at a target location, or to indicate the lightning potential in a region outside an inner outlook region including the target location. A display may include an icon with an inner and outer portion displaying lightning potential in an inner and outer outlook region. A display may further include future lightning potential information.
1. A method for determining lightning potential, the method comprising the steps of:
receiving radar data and temperature data for a first region;
using the radar data and the temperature data to determine a vertically integrated ice mass and a product of volume-average radar echo intensity and average cloud depth;
applying a first membership function to the vertically integrated ice mass to determine a first interest value, wherein the first membership function is predetermined based on observed lightning information;
applying a second membership function to the product of volume-average radar echo intensity and average cloud depth to determine a second interest value, wherein the second membership function is predetermined based on the observed lightning information;
determining a first lightning potential value by combining the first interest value and the second interest value;
generating a pictorial representation of an indication of risk of future lightning occurrences based at least upon the first lightning potential.
2. The method of claim 1 , further comprising the steps of:
using the radar data and the temperature data to determine a cloud depth;
applying a third membership function to the cloud depth to determine a third interest value, wherein the third membership function is predetermined based on the observed lightning information;
wherein determining the first lightning potential comprises combining the first, second, and third interest values.
3. The method of claim 1 , further comprising the steps of:
using the radar data and the temperature data to determine a maximum reflectivity;
applying a fourth membership function to the maximum reflectivity to determine a fourth interest value, wherein the fourth membership function is predetermined based on the observed lightning information;
wherein determining the first lightning potential comprises combining the first, second, and fourth interest values.
4. The method of claim 1 , further comprising the steps of:
using the radar data and the temperature data to determine a cloud depth;
using the radar data and the temperature data to determine a maximum reflectivity
applying a third membership function to the cloud depth to determine a third interest value, wherein the third membership function is predetermined based on the observed lightning information;
applying a fourth membership function to the maximum reflectivity to determine a fourth interest value, wherein the fourth membership function is predetermined based on the observed lightning information;
wherein determining the first lightning potential comprises combining the first, second, third, and fourth interest values.
5. The method of claim 1 , wherein determining the first lightning potential value further includes the step of:
determining at least a second lightning potential for a second region, wherein the second region is positioned around a periphery of the first region.
6. The method of claim 5 , wherein the step of generating the pictorial representation of the indication of risk of future lightning occurrences comprises generating an icon that comprises an inner portion and
an outer portion;
wherein the inner portion of the icon represents the first lightning potential value for the first region, and the outer portion of the icon represents the second lightning potential value for the second region.
7. The method of claim 6 , wherein a first color of the inner portion of the icon is based on a first fractional coverage of the first lightning potential value, and a second color of the outer region of the icon is based on a second fractional coverage of the second lightning potential value.
8. The method of claim 7 , wherein at least one of the first color and the second color is calibrated based on a predetermined risk tolerance.
9. The method of claim 8 , wherein at least one of the first color or the second color is calibrated based on a distance weighting to a predicted lightning potential.
10. The method of claim 7 , wherein at least one of the first color or the second color is calibrated based on a predetermined response time.
11. The method of claim 10 , wherein at least one of the first color or the second color is calibrated based on a distance weighting to a predicted lightning potential.
12. The method of claim 1 , further comprising the steps of:
Providing a predetermined risk tolerance;
Activating an alert if the indication of risk of future lightning occurrences is greater than the predetermined risk tolerance.
13. A system for determining lightning potential, the system comprising:
a weather data module configured to receive radar data and temperature data for a first region, wherein the weather data module is further configured to determine a vertically integrated ice mass and a product of volume-average radar echo intensity and average cloud depth using the radar data and the temperature data;
a predictor field module configured to apply a first membership function to the vertically integrated ice mass to determine a first interest value, wherein the first membership function is predetermined based on observed lightning information, and to apply a second membership function to the product of volume-average radar echo intensity and average cloud depth to determine a second interest value, wherein the second membership function is predetermined based on the observed lightning information;
a lightning potential module configured to determine a first lightning potential by combining the first and second interest values;
a computing module configured to generating a pictorial representation of an indication of risk of future lightning occurrences based at least upon the first lightning potential.
14. The system of claim 13 , wherein:
the weather data module is further configured to determine a cloud depth using the radar data and the temperature data;
the predictor field module is further configured to apply a third membership function to the cloud depth to determine a third interest value, wherein the third membership function is predetermined based on the observed lightning information; and
the lightning potential module is further configured to combine the first, second, and third interest values.
15. The system of claim 13 , wherein:
the weather data module is further configured to determine a maximum reflectivity using the radar data and the temperature data;
the predictor field module is further configured to apply a fourth membership function to the maximum reflectivity to determine a fourth interest value, wherein the fourth membership function is predetermined based on the observed lightning information; and
the lightning potential module is further configured to combine the first, second, and fourth interest values.
16. The system of claim 13 , wherein:
the weather data module is further configured to determine a maximum reflectivity using the radar data and the temperature data;
the weather data module is further configured to determine a cloud depth using the radar data and the temperature data . . . the predictor field module is further configured to apply a fourth membership function to the maximum reflectivity to determine a fourth interest value, wherein the fourth membership function is predetermined based on the observed lightning information; and
the predictor field module is further configured to apply a fourth membership function to the maximum reflectivity to determine a fourth interest value, wherein the fourth membership function is predetermined based on observed lightning information; and
the lightning potential module is further configured to combine the first, second, third and fourth interest values.
17. The system of claim 13 , wherein the lightning potential module is further configured to determine at least a second lightning potential for a second region, wherein the second region is positioned around a periphery of the first region.
18. The system of claim 17 , wherein the computing module is further configured to generate the pictorial representation of the indication of risk of future lightning occurrences based on at least the first lightning potential comprising an icon that comprises an inner portion and an outer portion, wherein the inner portion of the icon represents the lightning potential value for the first region and the outer portion of the icon represents the lightning potential value for the second region.
19. The system of claim 18 , wherein a first color of the inner portion of the icon is based on a first fractional coverage of the first lightning potential, and a second color of the outer region of the icon is based on a second fractional coverage of the second lightning potential.
20. The system of claim 19 , wherein at least one of the first color or the second color is calibrated based on a predetermined risk tolerance.
21. The system of claim 13 , wherein:
the computing module is configured to receive a predetermined risk tolerance; and
an alerting device configured to active if the indication of risk of future lightning occurrences is greater than the predetermined risk tolerance.