Moein Mohammadi

Mr. Moein Mohammadi

Institute of Geophysics, Faculty of Physics, University of Warsaw
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 May 2023 in Atmospheric Measurement Techniques
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Journal Article
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KNKatarzyna Nurowska
Katarzyna Nurowska
MMMoein Mohammadi
Moein Mohammadi
SMSzymon Malinowski
Szymon Malinowski
KMKrzysztof Markowicz
Krzysztof Markowicz
Low-cost devices for particulate matter measurements are characterised by small dimensions and a light weight. This advantage makes them ideal for UAV measurements, where those parameters are crucial. However, they also have some issues. The values of particulate matter from low-cost optical particle counters can be biased by high ambient humidity. In this article, we evaluate the low-cost Alphasense OPC-N3 optical particle counter for measuring the microphysical properties of fog. This study aimed to show that OPC-N3 not only registers aerosols or humidified aerosols but also registers fog droplets. The study was carried out on the rooftop of the Institute of Geophysics, University of Warsaw, Poland, during autumn–winter 2021. To validate the results, the data from OPC-N3 were compared with the data obtained from the reference instrument, the Oxford Lasers VisiSize D30. VisiSize D30 is a shadowgraph device able to register photos of individual droplets. Considering the effective radius of droplets, it is possible to differentiate low-visibility situations between fog conditions (which are not hazardous for people) from haze events, when highly polluted air can cause health risks to people. The compared microphysical properties were liquid water content (LWC), number concentration (Nc), effective radius reff and statistical moments of radius. The Pearson correlation coefficient between both devices for LWC was 0.92, Nc was 0.95 and reff was 0.63. Overall, these results suggest good compliance between instruments. However, the OPC-N3 has to be corrected regarding professional equipment.

13 February 2020 in Atmosphere
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Marta WacławczykMarta Wacławczyk
Marta Wacławczyk
Amoussou Sylvain GozinganAmoussou Sylvain Gozingan
Amoussou Sylvain Gozingan
JNJackson Nzotungishaka
Jackson Nzotungishaka
MMMoein Mohammadi
Moein Mohammadi
SMSzymon Malinowski
Szymon Malinowski
In this work we study different techniques to estimate basic properties of turbulence, that is its characteristic velocity and length scale from low-resolution data. The methods are based on statistics of the signals like the velocity spectra, second-order structure function, number of signal’s zero-crossings and the variance of velocity derivative. First, in depth analysis of estimates from artificial velocity time series is performed. Errors due to finite averaging window, finite cut-off frequencies and different fitting ranges are discussed. Next, real atmospheric measurement data are studied. It is demonstrated that differences between results of the methods can indicate deviations from the Kolmogorov’s theory or the presence of external intermittency, that is the existence of alternating laminar/turbulent flow patches.

6 April 2021 in Atmospheric Measurement Techniques
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JNJakub L. Nowak
Jakub L. Nowak
MMMoein Mohammadi
Moein Mohammadi
SMSzymon Malinowski
Szymon Malinowski
A commercial shadowgraph system, the Oxford Lasers VisiSize D30, originally designed to characterize industrial and agricultural sprays, was tested with respect to its application for measuring cloud microphysical properties such as droplet size distribution and number concentration. A laboratory experiment with a dense stream of polydisperse cloud-like droplets indicated a strong dependence of the depth of field, and thus also the sample volume, on particle size. This relationship was determined and a suitable correction method was developed to improve estimations of droplet number concentration and size distribution. The spatial homogeneity of the detection probability inside the sample volume and the minimum droplet diameter providing uniform detection were examined. A second experiment with monodisperse droplets produced by a Flow Focusing Monodisperse Aerosol Generator (FMAG) verified the sizing accuracy and demonstrated reasonable agreement between the instruments. Effects of collisions and the evaporation of droplets produced by the FMAG were observed. Finally, when the instrument was applied to sample atmospheric clouds at a mountain-based observatory, it performed reliably during a 3-week-long field experiment. Based on the laboratory and field tests, recommendations concerning the use of the instrument for cloud droplet measurements were formulated.

23 February 2022 in Atmospheric Measurement Techniques
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Journal Article
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MMMoein Mohammadi
Moein Mohammadi
JNJakub L. Nowak
Jakub L. Nowak
GBGuus Bertens
Guus Bertens
JMJan Moláček
Jan Moláček
WKWojciech Kumala
Wojciech Kumala
SMSzymon Malinowski
Szymon Malinowski
The microphysical properties of cloud droplets, such as droplet size distribution and droplet number concentration, were studied. A series of field experiments was performed in the summer of 2019 at the Umweltforschungsstation Schneefernerhaus (UFS), an environmental research station located just below the peak of the Zugspitze mountain in the German Alps. A VisiSize D30 manufactured by Oxford Laser Ltd., which is a shadowgraph imaging instrument, was utilized for the first time to measure the size and velocity of cloud droplets during this campaign. Furthermore, a phase Doppler interferometer (PDI) device, manufactured by Artium Tech. Inc., was simultaneously measuring cloud droplets. After applying modifications to the built-in software algorithms, the results from the two instruments show reasonable agreement regarding droplet sizing and velocimetry for droplet diameters larger than 13 µm. Moreover, discrepancies were observed concerning the droplet number concentration results, especially with smaller droplet sizes. Further investigation by applying appropriate filters to the data allowed the attribution of the discrepancies to two phenomena: the different optical performance of the sensors with regard to small droplets and high turbulent velocity fluctuations relative to the mean flow that result in an uncertain estimate of the volume of air passing through the PDI probe volume.

22 November 2014 in Heat and Mass Transfer
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MBMehdi Bidabadi
Mehdi Bidabadi
MMMoein Mohammadi
Moein Mohammadi
APAlireza Khoeini Poorfar
Alireza Khoeini Poorfar
SMShafagh Mollazadeh
Shafagh Mollazadeh
SZSaeedreza Zadsirjan
Saeedreza Zadsirjan

1 January 2019 in Combustion, Explosion, and Shock Waves
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Journal Article
Closed access
HKH. Khalili
H. Khalili
SMS. A. Madani
S. A. Madani
MMMoein Mohammadi
Moein Mohammadi
APA. K. Poorfar
A. K. Poorfar
MBM. Bidabadi
M. Bidabadi
PPP. Pendleton
P. Pendleton