Cloud & Fog Detection and Prediction System
![](/upload/2017-05/09/CloudandFogDetectionandPredictionSystem1.jpg)
- DESCRIPTION
- TECHNICAL
- SPECIFICATIONS
Probecom cooperates with famous Chinese insitutes and famous universities to developt meteorological radar products. Product list include stratospheric wind profiler radar, S band dual Polarization weather radar, C band dual polarization full coherent weather radar, boudray layer wind profiler radar, low-level wind profiler radar, low level wind shear alert system, troposheric wind profiler radar, mobile millimeter wave weather radar system, clound & Fog detection and prediction system, comprehensive meteorological system.
Cloud & Fog Detection and Prediction system is designed to meet the need the detect and predict the weather conditions with poor visibility (mainly caused by low-altitude cloud or fog) which can influence safety and efficiency of air and sea traffic. The whole system is established by proper combination of millimeter wave cloud radar, boundary layer wind profiler radar, microwave radiometer, etc.
Cloud&Fog Detection and Prediction system is consist of radar detecting system, multi-source data fusion system, cloud &fog predict system and supporting system. To detect and predict the developing and decaying processes of fog, the system has adopted some key techniques such as fog detecting by millimeter wave cloud radar, multi-source data fusion and cloud&fog prediction. The system can provide meteorological support for air ports and sea ports.
Advantage
Obtain space distribution information of low-altitude cloud or fog, provide visibility data with high temporal-spatial resolution.
Real-time monitoring and early warning for poor visibility weather conditions by aggregate analysis of air temperature,
air humidity, wind speed and radar echo of cloud and fog.
Intelligent system design, all weather unattended operation auto-run.
![Cloud and Fog Detection and Prediction System-2 Cloud and Fog Detection and Prediction System-2](/upload/2017-05/09/CloudandFogDetectionandPredictionSystem2.jpg)