Fluxes of greenhouse gases (GHG) between land surfaces and the atmosphere are the most important drivers for climate change. The most accurate method to determine those fluxes, the eddy covariance technique, relies on fast and accurate in situ
GHG concentration measurements.
In a field setup, we want to quantify the effects of technical improvements to a commercial fast response CO2 and H2O analyser on the accuracy of the measured fluxes, by comparison of the old with the new set-up.
The project offers an ideal entry to learn about how turbulent fluxes are being measured and gives an in depth training on working with large data sets and advanced processing methods. The core application will be based on discrete time series analysis.
Interest in environmental physics and data processing