Boundary Layer View Software BL-VIEW

Boundary Layer View Software BL-VIEW

Visualize the mixing layer height 24/7 to improve your air quality monitoring and forecasting

BL-View generates an online visual representation of the mixing layer height that provides you with an immediate understanding of local conditions. The mixing layer height data can be seamlessly integrated into external applications, forecasting, and numerical model verification. You can view and analyze logged data while logging and displaying real-time data. The insights enabled by BL-View help to improve your air quality monitoring and forecasting.

Download Datasheet

Key Benefits

Automatic 24/7 visualization of the mixing layer height evolution

BL-View generates an online visual representation of the mixing layer height (MLH) that provides you with an immediate understanding of local conditions. The accuracy of the measurement is verified by radiosondes. Monitor the evolution of the mixing layer height in real-time with additional information of other layers aloft, to improve your understanding of your current and near future air quality condition.

Manage Your Ceilometer Network

Up to 10 ceilometers can be connected to BL-View, providing a centralized view of the ceilometer data in the network. This facilitates concentrated data analysis. The status information of the network is available in one place.

Flexible user interface

The clear graphical user interface allows easy and convenient multiprocessing. Operators can zoom in on any point in a detailed analysis. The ceilometer and communication status is permanently displayed on the main screen so that possible operational warnings and alarms can be investigated.

Reliable data whatever the weather

To ensure reliable reporting in all weather conditions, BL-View also uses an all-weather algorithm that takes into account possible precipitation and cloud events.

Fast data analysis

The automatically analyzed boundary layer data is stored in log files that can be easily transferred to other applications, for example as inputs to numerical weather prediction models.