Publications of Reza Shaiganfar
All genres
Thesis - PhD (1)
21.
Thesis - PhD
Shaiganfar, R.: Estimation of NOx Emissions from megacities using mobile MAX-DOAS and satellite observations, PhD Thesis, Ruprecht-Karls-Universität, Heidelberg. [online] Available from: http://hdl.handle.net/11858/00-001M-0000-0014-7DE5-9, n.d.
Working Paper (6)
22.
Working Paper
Wagner, T., Beirle, S., , , , Donner, S., Dörner, S., , , , , , , , , , , , Mies, K., , , , , Pukite, J., Remmers, J., , , Shaiganfar, R., Sihler, H., , Wang, Y. and : Is a scaling factor required to obtain closure between measured and modelled atmospheric O4 absorptions? – A case study for two days during the MADCAT campaign, Atmospheric Measurement Techniques Discussions, 11, doi:10.5194/amt-2018-238, 2018.
23.
Working Paper
Beirle, S., , , , , , , , , Shaiganfar, R., Wagner, T., Wang, Y., , and : Intercomparison of aerosol extinction profiles retrieved from MAX-DOAS measurements, Atmospheric Measurement Techniques Discussions, 9, doi:10.5194/amt-2015-358, 2016.
, , 24.
Working Paper
Shaiganfar, R., and Wagner, T.: Determination of NOx emissions from Frankfurt Airport by optical spectroscopy (DOAS) – A feasibility study, Atmospheric Measurement Techniques Discussions, 9, doi:10.5194/amt-2016-255, 2016.
, 25.
Working Paper
Shaiganfar, R., Wagner, T., , , , , and : High-resolution airborne imaging DOAS-measurements of NO2 above Bucharest during AROMAT, Atmospheric Measurement Techniques Discussions, 9, doi:10.5194/amt-2016-329, 2016.
, , , , , , , 26.
Working Paper
Shaiganfar, R., Beirle, S., , , , , , and Wagner, T.: Estimation of the Paris NOx Emissions from mobile MAX-DOAS observations and CHIMERE model simulations using the closed integral method, Atmospheric Chemistry and Physics Discussions, 16, doi:10.5194/acp-2016-923, 2016.
27.
Working Paper
Wagner, T. K., Beirle, S., Remmers, J., Shaiganfar, R. and Wang, Y.: Absolute calibration of the colour index and O-4 absorption derived from Multi AXis (MAX-)DOAS measurements and their application to a standardised cloud classification algorithm, Atmospheric Measurement Techniques Discussions, 9, doi:10.5194/amt-2016-148, 2016.