Methane is an important greenhouse gas, emissions of which have vital consequences for
global climate change. Understanding and quantifying the sources (and sinks) of …

Weather phenomena including wind, rain, fog, storms, etc. have large influence on road
transport by reducing the speed and capacity by 5–40% in moderate cases and up to 100 …

Wind data collection in the atmospheric boundary layer benefits from short-term wind speed
measurements using unmanned aerial vehicles. Fixed-wing and rotary-wing devices with …

Aksoy, A., SD Aberson, T. Vukicevic, KJ Sellwood, S. Lorsolo, and X. Zhang, 2013:
Assimilation of high-resolution tropical cyclone observations with an ensemble Kalman filter …

WIND and turbulence have a significant impact on unmanned aerial vehicle (UAV) flight
safety and efficiency, especially for challenging missions such as urban air mobility (UAM) …

The main in situ database for numerical weather prediction currently relies on radiosonde
and airliner observations, with large systematic data gaps: horizontally in certain countries …

The accurate quantification of methane emissions from point sources is required to better
quantify emissions for sector-specific reporting and inventory validation. An unmanned …

For atmospheric boundary-layer (ABL) studies, unmanned aircraft systems (UAS) can
provide new information in addition to traditional in-situ measurements, or by ground-or …

The capabilities of a quadcopter in the hover mode for low-altitude sensing of atmospheric
turbulence with high spatial resolution in urban areas characterized by complex orography …

We have developed a simple measuring system prototype that uses an unmanned aerial
vehicle (UAV) and a non-dispersive infrared (NDIR) analyzer to detect regional carbon …