Mapping particulate matter in alpine regions with satellite and ground-based measurements: An exploratory study for data assimilation

The objective of this study is the integration of satellite and in-situ measurements of particulate matter (PM 10) to provide PM 10 maps in Switzerland and South Tyrol (Italy) on an operational daily basis. Satellite retrieval of PM has been widely investigated in the past years, showing moderate potential (uncertainty of ∼30%) but also a number of severe limitations (e.g., due to cloud and snow cover or unknown aerosol extinction profiles). Its actual effectiveness can only be tested by a comparison with the mapping capability of ground-based measurements from existing air-quality networks. Moreover, the integration of both observational systems (assimilation) can improve PM mapping. Herein, we apply a linear model including aerosol optical depth (AOD) from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) and meteorological boundary layer height (BLH) to estimate spatially homogeneous maps of PM 10 over the study region in 2008–2009. AOD from MODIS is used to compare the results with those of similar studies. The validation of the satellite maps reveals higher accuracy in flat areas ( r ∼ 0.6, RMSE ∼ 10 μg m −3) than in alpine valleys and elevated sites. In contrast, the inverse distance interpolation of in-situ measurements is able to produce more accurate ( r > 0.8, RMSE 100 km between sites). ► We analyse the potential of satellites for mapping PM 10 in the European alpine region. ► We compare SEVIRI and MODIS PM 10 maps with interpolation of ground measurements. ► Satellite-derived PM 10 maps are less accurate than the interpolated ones. ► We merge satellite and ground measurements using a data assimilation approach. ► Satellite data only improve PM 10 maps when simulating a m