MA Dr.
seyed.omid.nabavi(at)univie.ac.at
Josef-Holaubek-Platz 2 (UZA II), 1090 Vienna
Roomnumber: 2F511
T: +43-1-4277-537 81
© Seyed Omid Nabavi
I am a postdoctoral researcher in the Atmospheric Transport Processes research group, with a research focus on the inverse modeling of greenhouse gases. My research interests revolve around the application of statistical and numerical models, in conjunction with large ground- and satellite-based datasets, to the study of atmospheric pollutants. I invite you to explore my ResearchGate profile (https://www.researchgate.net/profile/Seyed-Omid-Nabavi) for more details about my research background.
Research Interests
- Numerical and Statistical modeling of air quality
- Machine learning-based downscaling approaches
- Scientific programming for analysis of big environmental datasets
Publications at UNIVIE
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Nabavi, SO, Haimberger, L & Abbasi, E 2019, 'Assessing PM2.5 concentrations in Tehran, Iran, from space using MAIAC, Deep Blue, and Dark Target AOD and Machine Learning Algorithms', Atmospheric Pollution Research, Jg. 10, Nr. 3, S. 889-903. https://doi.org/10.1016/j.apr.2018.12.017
Nabavi, SO, Haimberger, L, Abbasi, R & Samimi, C 2018, 'Prediction of aerosol optical depth in West Asia using deterministic models and machine learning algorithms', Aeolian Research, Jg. 35, Nr. 35/2018, S. 69-84. https://doi.org/10.1016/j.aeolia.2018.10.002
Nabavi, SO, Haimberger, L & Samimi, C 2017, 'Sensitivity of WRF-chem predictions to dust source function specification in West Asia', Aeolian Research, Jg. 24, S. 115-131. https://doi.org/10.1016/j.aeolia.2016.12.005, https://doi.org/10.1016/j.aeolia.2016.12.005
Nabavi, SO, Haimberger, L & Samimi, C 2016, 'Climatology of dust distribution over West Asia from homogenized remote sensing data', Aeolian Research, Jg. 21, S. 93–107. https://doi.org/10.1016/j.aeolia.2016.04.002
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