Maryam Abdi‐Oskouei

Author

Maryam Abdi‐Oskouei

University of Iowa ORCID

Also Known As

, Abdi-Oskouei, Maryam, M. Abdi‐Oskouei, Maryam Abdi Oskouei, Maryam Abdi-Oskouei, Maryam Abdi‐Oskouei

Publications

214

Citations

H-Index

Concepts

All Affiliations

University of Iowa University of Wisconsin–Madison NSF National Center for Atmospheric Research Missouri University of Science and Technology University of Northern Iowa

About

Maryam Abdi‐Oskouei is an author at University of Iowa specializing in engineering, ozone, and air quality.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	151
2	Data Science	2	2	36
3	Industrial Engineering	2	2	36
4	Chemical Engineering	1	1	21
5	Chemistry	1	1	21

Maryam Abdi‐Oskouei

Publications

202

Citations

H-Index

Page 1

	Year	Citations
Sensitivity of Meteorological Skill to Selection of WRF‐Chem Physical Parameterizations and Impact on Ozone Prediction During the Lake Michigan Ozone Study (LMOS) Maryam Abdi‐Oskouei, Gregory R. Carmichael, M. Christiansen, Journal of Geophysical Research Atmospheres Abstract Ozone ConcentrationsEngineeringAir QualityOzone BiasAtmospheric Model	2020	71
Overview of the Lake Michigan Ozone Study 2017 Charles O. Stanier, R. Bradley Pierce, Maryam Abdi‐Oskouei, Bulletin of the American Meteorological Society	2021	51
Statistical methods for evaluating the effect of operators on energy efficiency of mining machines Maryam Abdi‐Oskouei, Kwame Awuah-Offei Mining Technology Transactions of the Institutions of Mining and Metallurgy Section A EngineeringEnergy EfficiencyIndustrial EngineeringEnergy PerformanceSmart Mining	2014	23
The Impact of Volatile Chemical Products, Other VOCs, and NO<sub>x</sub> on Peak Ozone in the Lake Michigan Region Maryam Abdi‐Oskouei, Behrooz Roozitalab, Charles O. Stanier, Journal of Geophysical Research Atmospheres Environmental ChemistryEnvironmental MonitoringEngineeringRadical Termination RatesAtmospheric Science	2022	23
Impacts of physical parameterization on prediction of ethane concentrations for oil and gas emissions in WRF-Chem Maryam Abdi‐Oskouei, Gabriele Pfister, F. Flocke, Atmospheric chemistry and physics Large UncertaintiesEngineeringGreenhouse Gas EmissionClimate ModelingComputational Chemistry	2018	21
A method for data-driven evaluation of operator impact on energy efficiency of digging machines Maryam Abdi‐Oskouei, Kwame Awuah-Offei Energy Efficiency EngineeringMachine SystemsData ScienceEnergy ManagementEnergy Efficiency	2015	13

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