Low-cost sensors can be very relevant for FAIRMODE, especially concerning methodologies to combine sensor networks with modelled data and official measurements. Present experiences suggest important roles for data fusion/assimilation approaches, and possibly other techniques with similar scopes. WG6 activities will focus on discussing and understanding the strengths and weaknesses of the different ways low-cost sensors can be used in conjunction to modelling. The focus points are:
Exchanging best practices about the calibration and subsequent integration of sensor network data in air quality mapping methods (data fusion) and demonstrating the use of sensors in different areas/countries with national models to fuse
Providing guidance and recommendations on the use of sensors (e.g. citizen science projects), both in terms of calibration, data fusion or communication about related uncertainties
Exploring how exploitation and validation of an air quality sensor network can contribute to improved air quality modelling, with a focus on city applications.