The 2017 Outstanding Student Poster and PICO (OSPP) Awards is awarded to Jonas Gliß for the poster entitled:
Pyplis* | A Python based software package for the analysis of volcanic SO2 emissions using UV SO2 cameras (Gliß, J.; Stebel, K.; Kylling, A.; Dinger, A. S.; Sihler, H.; Sudbø, A.)
Click here to download the poster/PICO file.
I am a PhD student at the Norwegian Institute for Air Research, Kjeller, Norway (NILU) and the Department of Physics at the University of Oslo (UiO). I am in the fourth year of my PhD and my project focusses on measurements of volcanic gas emissions, using optical remote sensing techniques based on the absorption of ultraviolet (UV) solar radiation due to gases in the emission plumes.
Active volcanoes emit large amounts of gases. My scientific focus is on the study and assessment of volcanic sulphur and halogen emissions. These gases have multiple impacts, both on local and global scales. Especially the emissions of the poisonous pollutant sulphur-dioxide (SO2) can impact the climate (e.g. earth radiation budget), atmosphere (e.g. cloud formation) environment (e.g. vegetation, agriculture) and human and animal health. UV SO2 cameras are an imaging technique which can be used to measure and monitor SO2-emission-rates from volcanoes.
In the poster we present Pyplis (http://pyplis.readthedocs.io), an open-source software toolbox, which is written in Python and comprises a comprehensive collection of algorithms relevant for the analysis UV SO2 camera data.