Automated cloud observation and reporting using Al/ ML

Presently, clouds are reported based on visual observation. It has certain limitations due to limited view from the observation point and difference in observation skills of observers which leads to some subjectivity. At present equipment available at Met sections for the cloud measurements are Laser Range Finder (LRF) and Laser Ceilometers. These equipment observe only overhead cloud height and LRF cannot be used during precipitation.

Innovation:

• A prototype AI/ML based module integrated with camera/ imaging device to be developed for installed at 4-5 airfields over different regions of the country as model stations for real time observation and reporting of clouds (as per the cloud reporting guidelines issued by World Meteorological Office (WMO) and International Civil Aviation Organisation (ICAO) in Met observation).
• The innovation is expected to scan the sky 360° and convert it in cloud observation report.

Deliverables:

• GUI based interactive AI/ML module integrated with suitable imaging device (which scans the sky 360°) for installation at 4-5 airfields over different regions of the country as model stations to observe and report cloud.
• It may be programmed to apply correction in height of clouds, considering the angle at which equipment is scanning.
• It should also have provision of integration with cloud measuring equipment like ceilometer to provide complete cloud image instead of only overhead observation.

Future Expectation from Prototype/ technology developed

• Automated cloud observation and reporting capability in integration with an equipment/camera for scanning the sky.
• Provision for time period selection for automated cloud reporting (i.e. every 10 min, 30 min or 1 hr etc.).
• Provisions for integration with other cloud measuring equipment like ceilometer.
• lf performance is found satisfactory, equipment may also be integrated with Automatic Weather Stations (AWS).