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Maryam Abdi-Oskouei
Maryam Abdi-Oskouei
University Corporation for Atmospheric Research
Verified email at ucar.edu
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Cited by
Year
Sensitivity of meteorological skill to selection of WRF‐Chem physical parameterizations and impact on ozone prediction during the Lake Michigan Ozone Study (LMOS)
M Abdi‐Oskouei, G Carmichael, M Christiansen, G Ferrada, B Roozitalab, ...
Journal of Geophysical Research: Atmospheres, e2019JD031971, 2020
432020
Statistical methods for evaluating the effect of operators on energy efficiency of mining machines
M Abdi Oskouei, K Awuah-Offei
Mining Technology 123 (4), 175-182, 2014
312014
Overview of the Lake Michigan ozone study 2017
CO Stanier, RB Pierce, M Abdi-Oskouei, ZE Adelman, J Al-Saadi, ...
Bulletin of the American Meteorological Society 102 (12), E2207-E2225, 2021
252021
A method for data-driven evaluation of operator impact on energy efficiency of digging machines
M Abdi Oskouei, K Awuah-Offei
Energy Efficiency, 129-140, 2016
202016
The Impact of Volatile Chemical Products, Other VOCs, and NOx on Peak Ozone in the Lake Michigan Region
M Abdi‐Oskouei, B Roozitalab, CO Stanier, M Christiansen, G Pfister, ...
Journal of Geophysical Research: Atmospheres 127 (22), e2022JD037042, 2022
112022
Impacts of physical parametrization on prediction of ethane concentrations for oil and gas emissions in WRF-Chem
M Abdi-Oskouei, G Pfister, F Flocke, N Sobhani, P Saide, A Fried, ...
Atmospheric Chemistry and Physics, 2018
112018
Elucidating the impacts of COVID-19 lockdown on air quality and ozone chemical characteristics in India
B Roozitalab, GR Carmichael, SK Guttikunda, M Abdi-Oskouei
Environmental Science: Atmospheres 2 (5), 1183-1207, 2022
72022
Overview of the Lake Michigan Ozone Study 2017, B. Am. Meteorol. Soc., 102, E2207–E2225
CO Stanier, RB Pierce, M Abdi-Oskouei, ZE Adelman, J Al-Saadi, ...
72021
Role of the Operator in Dragline Energy Efficiency
M Abdi-Oskouei, K Awuah-Offei
Energy Efficiency in the Minerals Industry, 181-194, 2018
42018
Methods for evaluating effect of operators on dragline energy efficiency
M Abdi Oskouei
Missouri University of Science and Technology, 2013
4*2013
2017 Lake Michigan Ozone Study (LMOS) Preliminary Finding Report
M Abdioskouei, Z Adelman, J Al-saadi, T Bertram, G Carmichael, ...
https://www.ladco.org/wp-content/uploads/Research/LMOS2017 …, 2019
32019
WRF-Chem model outputs to study the impact of Volatile Chemical Products, Other VOCs, and NOx on Peak Ozone in the Lake Michigan Region during June 2017
M Abdi-Oskouei, B Roozitalab, CO Stanier, GR Carmichael
University of Iowa, 2022
12022
Improving air quality prediction through characterizing the model errors using data from comprehensive field experiments
M Abdioskouei
The University of Iowa, 2018
12018
Meteorological air quality forecasting using the WRF-Chem model during the LMOS2017 field campaign
CO Stanier, M Abdioskouei, GR Carmichael, M Christiansen, N Sobhani
AGU Fall Meeting Abstracts 2017, A21J-2297, 2017
12017
Framework for stochastic modeling of dragline energy efficiency
MA Oskouei, K Awuah-Offei
2013 SME Annual Meeting, Denver, CO, 2013
12013
The Research Repository for Data and Diagnostics (R2D2): An Online Database Software System for High Performance Computing and Cloud-Based Satellite Data Assimilation Workflows
EJ Lingerfelt, TJ Hamzey, M Abdi-Oskouei, J Barré, F Diniz, C Gas, ...
International Conference on Computational Science, 303-310, 2024
2024
Enabling Different Ensemble Data Assimilation Scenarios In JEDI Using The SkyLab Workflow
CH Gas, M Abdi-Oskouei, F Diniz, D Heinzeller, K Huxtable, TY Leung, ...
104th AMS Annual Meeting, 2024
2024
Development of the global data assimilation system for aerosols-Tuning of JEDI-based forecast error covariance
A Tangborn, CR Martin, B Huang, M Pagowski, L Pan, JT McQueen, ...
104th AMS Annual Meeting, 2024
2024
Variational Bias Correction of VIIRS Aerosol Optical Depth in the JEDI-Based Global Data Assimilation System
Y Wang, A Tangborn, CR Martin, BT Johnson, C Dang, B Huang, ...
104th AMS Annual Meeting, 2024
2024
Near Real-Time Aerosol Assimilation and Prediction Using JEDI and NOAA’s UFS-Aerosols
B Huang, M Pagowski, CR Martin, A Tangborn, Y Wang, M Abdi-Oskouei, ...
104th AMS Annual Meeting, 2024
2024
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