Hi I am Arman Pouyaei 
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A results-driven atmospheric scientist with extensive experience and expertise in developing and utilizing new and existing methodologies in multi-scale atmospheric models to study the influence of atmospheric pollutants on the environment.
Fortran
90%
Python
80%
R / Matlab
70%
Climate modeling
95%
Air quality modeling
90%
Weather modeling
90%
(1) Designed and developed a plume injection scheme for biomass burning emissions in GFDL’s CM4 and implemented the scheme into the aerosol module to study the decadal impact of plume injection height from wildfires on coupled climate modeling systems.
(1) Introduced a novel approach for investigating aerosol-cloud interaction using data assimilation and spectral bin method for microphysics. Designed the forward operator for NEXRAD radar assimilation. Designed a 3DVAR framework for the application of radar data assimilation.
(1) Introduced a novel Lagrangian model, C-TRAIL v1.0, providing an alternative method for simulating atmospheric diffusion through incorporation in an Eulerian air quality model. (2) Developed a physically accurate sub-grid cloud convection module based on a meteorological approach for accurate quantification of vertical and long-range transport in CMAQ air quality modeling. (3) Developed Forward Operator for OMI HCHO/NO2 and implemented them in the WRF-Chem/DART framework, to study wildfire-related ozone formation during the 2019 FIREX-AQ campaign.