System and method for multiple and dynamic meteorological data sources

1. A system for collecting and distributing meteorological data comprising:

at least two mobile meteorological stations (MMS), each installed on a vehicle traveling along a pre-prepared travel lane and comprising at least:

a controller;

sensors unit to obtain meteorological data, the sensors unit comprising one or more sensors from the list including temperature sensor, humidity sensor, air pressure sensor, wind speed and/or wind direction sensor;

a location sensor unit to obtain location data;

a long-range vision system (LRVS) unit configured to acquire images in the vicinity of the MMS in a long wavelength infrared (LWIR) range and process the images to extract meteorological data comprising a relative humidity from the images; and

a communication unit configured to enable communication with at least one other MMS;

wherein the controller is configured to:

receive the meteorological data from the LRVS unit,

receive the meteorological data from the sensors unit,

receive the location data from the location sensor unit, and

send the received meteorological data and the location data to the at least one other MMS; and

a remote central service unit configured to:

receive, store and process the meteorological data and the location data from the at least two MMSs; and

build a dynamic and location-based meteorological data map for an area covered by the at least two MMS units along the pre-prepared travel lane based on the meteorological data and the location data from the at least two MMSs.

2. The system of claim 1 , wherein the LRVS is further operative in at least one of a mid-wave IR (MWIR) range and a visible range.

3. The system of claim 1 , wherein the LRVS unit is configured to acquire images in a wavelength at 8-12 micrometer range.

4. The system of claim 1 , wherein the LRVS unit is configured to process the images to extract the meteorological data comprising an air thru-visibility.

5. The system of claim 1 , wherein the LRVS unit is configured to process the images to extract the meteorological data comprising a level of haziness.

6. The system of claim 1 , wherein the LRVS unit is configured to process the images to extract the meteorological data comprising a type and a ceiling level of low clouds.

7. The system of claim 1 , wherein the LRVS unit is configured to process the images to extract the meteorological data comprising snowing conditions.

8. The system of claim 1 , wherein the LRVS unit is configured to process the images to extract the meteorological data comprising rain conditions.

9. The system of claim 1 , wherein the LRVS unit is adapted to acquire the images from a field of view extending at a leading edge of the vehicle travelling along the pre-prepared travel lane and looking forward at a viewing angle, and to process the images to dynamically extract temporal values and a variance of the temporal values of the meteorological data along a certain distance extending from the respective MMS outwardly along a center of the viewing angle of the field of view.

10. A method for collecting distributing and presenting meteorological data comprising:

providing at least two mobile meteorological stations (MMS), each installed on a vehicle traveling along a pre-prepared travel lane and comprising at least:

a controller;

sensors unit to obtain meteorological data, the sensors unit comprising one or more sensors from the list including temperature sensor, humidity sensor, air pressure sensor, wind speed and/or wind direction sensor;

a location sensor unit to obtain location data;

a long-range vision system (LRVS) unit configured to acquire images in the vicinity of the MMS in a long wavelength infrared (LWIR) range and process the images to extract meteorological data comprising a relative humidity from the images; and

a communication unit configured to enable communication with at least one other MMS;

collecting the meteorological data and the location data from at least one of the at least two MMSs;

sending the collected meteorological and the location data to the at least one other MMS; and

sending the collected meteorological and the location data of the at least two MMSs to a central service unit; and

building a dynamic and location-based meteorological data map for an area covered by the at least two MMSs along the pre-prepared travel lane based on the collected meteorological and the location data.

11. The method of claim 10 , wherein the LRVS is further operated in at least one of a mid-wave IR (MWIR) range and a visible range.

12. The method of claim 10 wherein the dynamic and location-based meteorological data map comprises indication of the gradient of one meteorological data item as the meteorological data item changes in time and position.

13. The method of claim 10 , wherein the LRVS unit is configured to acquire images in a wavelength at 8-12 micrometer range.

14. The method of claim 10 , wherein the LRVS unit is configured to process the images to extract the meteorological data comprising an air thru-visibility.

15. The method of claim 10 , wherein the LRVS unit is configured to process the images to extract the meteorological data comprising a level of haziness.

16. The method of claim 10 , wherein the LRVS unit is configured to process the images to extract the meteorological data comprising a type and a ceiling level of low clouds.

17. The method of claim 10 , wherein the LRVS unit is configured to process the images to extract the meteorological data comprising at least one of snowing conditions and rain conditions.

18. The method of claim 10 , wherein the LRVS unit is adapted to acquire the images from a field of view extending at a leading edge of the vehicle travelling along the pre-prepared travel lane and looking forward at a viewing angle, and to process the images to dynamically extract temporal values and a variance of the temporal values of the meteorological data along a certain distance extending from the respective MMS outwardly along a center of the viewing angle of the field of view.