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My research has been focused on the simulation of air pollution from various natural and anthropogenic sources. Currently, I am working on improving fire weather and atmospheric composition prediction capabilities in atmospheric models and applying these tools to understand and forecast various processes associated with fire weather and smoke. These processes include wildland fire emissions and plume rise, smoke transport and mixing, smoke chemistry, the impact of smoke on radiation and microphysics, and so on. I have been working with coupled meteorology-chemistry models (e.g. WRF-Chem). One of the coupled weather-smoke models developed by our team, HRRR-Smoke (https://rapidrefresh.noaa.gov/hrrr/HRRRsmoke/) has been operational at NCEP since 2020. In collaboration with other teams, we are currently developing NOAA's next-generation high-resolution smoke and dust forecasting model RRFS-Smoke-Dust (https://rapidrefresh.noaa.gov/RRFS-SD/).
Education
Ph.D. in Atmospheric Physics, Moscow State University, 2004
M.S. in Astrophysics, Baku State University, 2000
B.S. in Physics, Baku State University, 1998
Research Experience
May 2022 - current: Senior Research Scientist affiliated with NOAA/GSL Earth Prediction Advancement Division (EPAD)
2016 – 2022: CIRES Scientist III affiliated with NOAA/GSL/EPAD
2009 – 2016: CIRES Research Scientist II affiliated with NOAA/CSL
2005 – 2009: Post-doctoral researcher, Max-Planck Institute for Biogeochemistry, Germany
Our experimental and operational air quality forecast models
Jones. T., Ahmadov R., James E.: Assimilation of aerosol optical depth into the Warn-on- Forecast System for Smoke (WoFS-Smoke). JGR Atmospheres (in press).
Thapa L., […], Ahmadov R. et al.: Heat flux assumptions contribute to overestimation of wildfire smoke injection into the free troposphere. Commun Earth Environ. 3, 236 (2022).
Chow F., […], Ahmadov R. High-resolution smoke forecasting for the 2018 Camp Fire in California. Bull Amer Meteorol Soc., 2022.https://doi.org/10.1175/BAMS-D-20-0329.1
Kumar A., Pierce B., Ahmadov R. et al.: WRF-Chem retrospective aerosol predictions during FIREX-AQ with GOES-16 fire radiative power based emissions and plume rise. Atmos. Chem. Phys. 22, 10195–10219, 2022.
Zhang L., […], Ahmadov R., et al. Development and evaluation of the Aerosol Forecast Member in the NCEP's GEFS-Aerosols v1. Geoscientific Model Dev., 15, 5337–5369, 2022.
Ye X., Arab P., Ahmadov R., et al.: Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire. Atmos. Chem. Phys., 21, 14427–14469, 2021.
Stenchikov G., […], Ahmadov R. et al.: How Does a Pinatubo-Size Volcanic Cloud Reach the Middle Stratosphere? JGR Atmospheres 126(10). 2021.
Bahreini R., Ahmadov R., et al.: Sources and characteristics of summertime organic aerosol in the Colorado Front Range: perspective from measurements and WRF-Chem modeling. Atmos. Chem. Phys., 18, 8293–8312, 2018.
Ahmadov R., et al. Using VIIRS Fire Radiative Power data to simulate biomass burning emissions, plume rise and smoke transport in a real-time air quality modeling system. International Geoscience and Remote Sensing Symposium. IGARSS. 2017.
Ahmadov, R., McKeen, S., et al.: Understanding high wintertime ozone pollution events in an oil- and natural gas-producing region of the western US, Atmos. Chem. Phys., 15, 411–429, 2015.
Ahmadov, R., McKeen, S. A., et al.: A volatility basis set model for summertime secondary organic aerosols over the eastern United States in 2006, J. Geophys. Res.-Atmos., 117, D06301, doi:10.1029/2011jd016831, 2012.
Middlebrook, A. M., Murphy, D. M., Ahmadov, R., et al.: Air quality implications of the Deepwater Horizon oil spill, Proc. Natl. Acad. Sci. U.S.A., 109, 20280-20285, 10.1073/pnas.1110052108, 2012.
de Gouw, […], Ahmadov, R., et al.: Organic aerosol formation downwind from the Deepwater horizon oil spill, Science, 331, 1295-1299, 10.1126/science.1200320, 2011.
Ahmadov, R., Gerbig, C., et al.: Mesoscale covariance of transport and CO2 fluxes: Evidence from observations and simulations using the WRF-VPRM coupled atmosphere-biosphere model, J. Geophys. Res.-Atmos., 112, 14, 2007.
