Margit Aun

Margit Aun is an active Research Fellow in Atmospheric Remote Sensing at the Institute of Physics, Faculty of Science and Technology, University of Tartu, working 80% full-time since January 2025. Previously, she served at the Tartu Observatory within the same faculty from 2010 to 2024 in various research positions, progressing from Junior Research Fellow to Research Fellow. Her academic journey at the University of Tartu spans over 15 years with continuous research contributions in atmospheric science.

Education:

• Doctor's Degree in Environmental Technology (2017), University of Tartu
• Master's Degree in Environmental Technology (2020), University of Tartu
• Master's Degree in Environmental Technology (2009), University of Tartu
• Bachelor's Degree in Environmental Technology (2007), University of Tartu
• Postdoctoral studies at Finnish Meteorological Institute (2018-2019)
• Machine Learning course through Coursera (2020-2021)

Dr. Aun's research focuses on quantifying changes in UV radiation due to climate change through atmospheric remote sensing techniques. Her work examines the complex interactions between UV radiation, ozone, clouds, aerosols, and climate change, with particular emphasis on the Baltic Sea region and polar environments. She has developed expertise in analyzing satellite-based cloud parameters, validating remote sensing instruments like TROPOMI, and measuring UV radiation in extreme environments including Antarctica. Her recent work has expanded into applying machine learning techniques to vegetation monitoring and leaf angle distribution analysis, demonstrating interdisciplinary innovation in her field.

Analysis of her publication record reveals a strong focus on climate change impacts in the Baltic region, detailed UV radiation monitoring across different environments (particularly polar regions), and satellite data validation. Her research shows progression from foundational work on UV radiation measurement to more complex climate change impact studies and innovative applications of machine learning in remote sensing.

Scientific Awards:

• Juhan Ross scholarship (2009)
• Juhan Ross scholarship (2010)

Dr. Aun serves as co-supervisor for doctoral research on nitrous oxide dynamics and previously supervised a Master's thesis on stratospheric N2O. She participates in multiple research projects including 'Increasing the Awareness and Uptake of CAMS Products in Estonia' and 'Prototypes of regional weather and climate services for sustainable agriculture.' Her work connects with international collaborations through projects like Copernicus CAL/VAL Solution. While specific laboratory information isn't detailed in the provided materials, her research clearly involves the Tartu Observatory's atmospheric monitoring infrastructure and international polar measurement networks.