<p>A reduction of the anthropogenic emissions of CO<sub>2</sub> (carbon dioxide) is necessary to stop or slow down man-made climate change. To verify mitigation strategies, a global monitoring system such as the envisaged European Copernicus anthropogenic CO<sub>2</sub> monitoring mission (CO2M) is required. Those satellite data are going to be complemented and validated with airborne measurements. UAV (unmanned aerial vehicle) based measurements can provide a cost-effective way to contribute to these activities. Here we present the development of a sUAS (small unmanned aircraft system) to quantify the CO<sub>2</sub> emissions of a nearby point source from its downwind mass flux without the need for any ancillary data. Specifically, CO<sub>2</sub> is measured by an in situ NDIR (non-dispersive infrared) detector and the wind speed and direction is measured with a 2D ultrasonic acoustic resonance anemometer. In order to minimize the effect of rotor downwash, we calibrate the anemometer by analyzing wind measurements taken while following a suitable flight pattern and assuming stationary wind conditions. We quantify the quality of the CO<sub>2</sub> and wind measurements with an in-flight validation at the ICOS (Integrated Carbon Observation System) atmospheric station Steinkimmen (STE) near Bremen, Germany. By means of two flights downwind of the ExxonMobil natural gas processing facility in Gro&#223;enkneten about 40km east of Bremen, Germany, we demonstrate how the measurements of elevated CO<sub>2</sub> concentrations can be used to infer mass fluxes of atmospheric CO<sub>2</sub> related to the emissions of the facility.</p>
Function Allocation Strategies for the Unmanned Aircraft System Traffic Management (UTM) System, and Their Impact on Skills and Training Requirements for UTM Operators
