Measurement

• Of particulate matter pollutants with PMeye sensor
• Of surface associated trace gas profiles with MAX DOAS
• Of gaseous pollutants with In Situ sensors, like NO/NO2/NOX, NH3, O3, SO2 (H2S), CO, PM10, 5

Observing

• Periodic statistical analysis tools and appropriate algorithms
• Available measurements data assimilation and calibration for the models
• Optimization and verification of simulations results

Simulation of emissions

The Raymetrics Forecasting System (RFS) has been developed to leverage on the company`s expertise in remote sensing combined with in-situ measurements

Those accurate measurements are the input to the state-of-the-art proprietary numerical modelling systems which enable our clients to have accurate simulation of emissions

• RFS is built on proprietary algorithms to integrate all available data streams and numerical models to provide optimal estimates of the atmospheric state by simulating the dispersion of pollutants
• Considering the lifetime of each pollutant in the atmosphere, it enables us to relate the emissions to their source