Satellite remote sensing and multi-scale modelling
Rong–Ming Hu, Ranjeet S Sokhi, Charles Chemel, Ye Yu (Chinese Academy of Sciences) and Bernard Fisher (Environment Agency), Jaakko Kukkonen (FMI)
As single mode of observation or modelling can not provide complete or adequate information for air quality and climate change, we focus on integration
of satellite remote sensing observations with multi-scale modelling. The aim of this work is to evaluate the potential of using ground-based, airborne and space-based measurements and to gain insight into the factors controlling air quality on multiple scales and the interaction with climate change. The outcomes of the work lead directly to improved model simulations for prognostic and diagnostic applications. Click on the individual links below to find out more about our recent and current work.
Satellite imagery to study aerosol radiative properties
Radiative properties of aerosols are still uncertain due to limited information on size, composition and origin (natural or anthropogenic). This topic addresses the uncertainties in climate forcing assessment by global model and satellite observation.
Combined use of satellite data and global air quality model
The global distribution of aerosols and trace gases are being investigated with use of satellite measurements to retrieve the concentration of NO2, SO2, O3 and Particulate Matter (PM).
Application of satellite data and global model for investigating regional air quality
This topic is focused on the combination of satellite and modelling data. We use global simulations and observations to examine the initial and boundary conditions for mesoscale modelling. Also we validate the regional modelling simulation by using satellite, airborne and ground-based observational data.