Dr. Seyed Omid Nabavi, MA
T: +43-1-4277-53781
Wintersemester 2023
280375 KU Specialisation
Nabavi, S. O., 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, 10(3), 889-903. https://doi.org/10.1016/j.apr.2018.12.017
Nabavi, S. O., Haimberger, L., Abbasi, R., & Samimi, C. (2018). Prediction of aerosol optical depth in West Asia using deterministic models and machine learning algorithms. Aeolian Research, 35(35/2018), 69-84. https://doi.org/10.1016/j.aeolia.2018.10.002
Nabavi, S. O., Haimberger, L., & Samimi, C. (2017). Sensitivity of WRF-chem predictions to dust source function specification in West Asia. Aeolian Research, 24, 115-131. https://doi.org/10.1016/j.aeolia.2016.12.005, https://doi.org/10.1016/j.aeolia.2016.12.005
Nabavi, S. O., Haimberger, L., & Samimi, C. (2016). Climatology of dust distribution over West Asia from homogenized remote sensing data. Aeolian Research, 21, 93–107. https://doi.org/10.1016/j.aeolia.2016.04.002
Institut für Meteorologie und Geophysik
Josef-Holaubek-Platz 2 (UZA II)
1090 Wien
Zimmer: 2F511
T: +43-1-4277-53781