Physical Scientist

Earth System Processes and Interactions Division

Curriculum vitae

Bibliography

Contact Information:

phone (609) 987-5071

email Paul.Ginoux@noaa.gov

Fax: (609) 987-5065

Paul Ginoux

My research involves the development and application of aerosols modeling to better understand their direct and indirect effects on climate.

Recent results

• Song, Q., and Ginoux, P. (2025). The contribution of ephemeral lakes to global dust cycle and direct radiative effect. Geophysical Research Letters, 52, e2025GL116689. https://doi.org/10.1029/2025GL116689
• Pouyaei, A., Ginoux, P., Naik, V., Feng, J., Horowitz, L. W., and Paulot, F. (2025). ENSO-driven variability in ozone sources and its impact on tropospheric ozone radiative forcing. Geophysical Research Letters, 52, e2025GL115898. https://doi.org/10.1029/2025GL115898
• Pouyaei, A., Ginoux,  P., Ward, D. S., Yu, Y., and Horowitz, L. W. (2025), Implementation of dynamic fire injection height in GFDL’s Atmospheric Model (AM4.0): Impacts on aerosol profiles and radiation. Journal of Advances in Modeling Earth Systems, 17(4), DOI:10.1029/2024MS004407.
• Meng, X., Yu, Y. and Ginoux, P. (2025). Rise in dust emissions from burned landscapes primarily driven by small fires. Nat. Geosci. 18, 586–592. https://doi.org/10.1038/s41561-025-01730-3
• Adebiyi, A.A., Kibria, M.M., Abatzoglou, J.T.,  et al. (2025). Fallowed agricultural lands dominate anthropogenic dust sources in California. Commun Earth Environ 6, 324. https://doi.org/10.1038/s43247-025-02306-0
• Chen, X., Chong, M., Lin, S.-J., Liang, Z., Ginoux, P., Liang, Y., et al. (2025). The efficient integration of dust and numerical weather prediction for renewable energy applications. Journal of Advances in Modeling Earth Systems, 17, e2024MS004525. https://doi.org/10.1029/2024MS004525
• Li, X., and Ginoux, P. (2025). An empirical parameterization to separate coarse and fine mode aerosol optical depth over land. Geophysical Research Letters, 52, e2024GL114397. https://doi.org/10.1029/2024GL114397.
• Zhang, Y., Knutson, T. R., Shevliakova, E., Horowitz, L. W., Ginoux, P., Paynter, D., & Westervelt, D. M. (2025). The Fast Response of Land Precipitation to Historical Anthropogenic Black Carbon and Sulfate Aerosols in the GFDL ESM4 Climate Model. Journal of Climate, 38(10), 2395-2411.
• Zorzetto, E., Ginoux, P., Malyshev, S., and Shevliakova, E. (2025), Quantifying radiative effects of light-absorbing particle deposition on snow at the SnowMIP sites, The Cryosphere, 19, 1313–1334, https://doi.org/10.5194/tc-19-1313-2025.
• Gaillard, M., Vionnet, V., Lafaysse, M., Dumont, M., and Ginoux, P. (2025). Improving large-scale snow albedo modeling using a climatology of light-absorbing particle deposition, The Cryosphere, 19, 769–792, https://doi.org/10.5194/tc-19-769-2025.

Research Activities

• Study the aerosols direct and indirect effects on climate using GFDL climate models and observations.
• Model development at GFDL: implementation of on-line aerosols in the GFDL Atmospheric Model (AM4), Land Model LM4.1 of the Earth System Model (ESM4.1), Variable-Resolution chemistry-climate model, and its evaluation by comparing aerosol properties with ground-based and satellite data.
• Inventories of Dust sources: development of global inventories of dust sources using satellite data. Long-time series of high resolution monthly dust storm frequencies from MODIS on Aqua and Terra.
• Intercomparison of Aerosol Models: Participation to AEROCOM.
• Science team member of NASA funded Earth Surface Mineral Dust Source Investigation (EMIT on ISS) project.

Awards

• 2024: NOAA OAR Bronze Medal Award for quantifying the climate and human drivers of US wildfire trends and impacts through Earth System modeling of climate-vegetation-fire interactions.
• 2018: NOAA OAR Outstanding Paper Award: Zhao, M., et al. (2016). Uncertainty in model climate sensitivity traced to representations of cumulus precipitation microphysics. J. Climate, DOI:10.1175/JCLI-D-15-0191.
• 2014, 2015, 2016, 2017, 2018 Highly Cited Researcher (Clarivate Analytics)
• 2014 AGU Editors’ citations for excellence in refereeing
• 2013 AGU Atmospheric Sciences Ascent award for sustained pioneering work on aerosols.
• 2012 US Department of Commerce Gold medal for Meritorious Federal Service
• 2007 DOI and NASA William T. Pecora award: shared as a member of TOMS Science team.
• 2005 US Department of Commerce Silver medal for Meritorious Federal Service
• 2005 NASA GSFC Journal citation award for Ginoux et al., J. Geophys. Res. 2001
• 2004 ESI Thompson citation for Fast Moving Front in Geosciences

Service to profession

• Organization of the 8^th International AeroCom workshop at GFDL, October 5-7, 2009
• Review manuscripts submitted for publication in peer reviewed journals
• Lab reviews: LISA (Paris, France, 2013), LOA (Lille, France, 2008)
• Review proposals for USA (DOE, NASA, NOAA, NSF), Austria (Austrian Science Fund), Belgium (Fonds National de la Recherche Scientifique), US-Israel Binational (Science Foundation), Canada (National Research Council, Fonds de recherche du Québec), Chile (Climat AMSUD), France (French National Research Agency), Germany (Deutsche Forschungsgemeinschaft), Hong Kong (Research Grants Council), Israel (National Science Foundation), Saudi Arabia (King Fahd University), Switzerland (ETH Zurich), UK (Natural Environment Research Council).

Teaching Activities

• Spring 2016: Guest lecturer for EESC G9910 Columbia University (LDEO, Palisades, NY)
• Fall 2011 Princeton CEE593-AOS593: Aerosol Observations & Modeling. The course covers the different theoretical aspects of aerosol modeling and observations for a specific case study (Siberian fires of July 2006).
• Spring 2009-2010 Princeton CEE 599B Special topics: Aerosol modeling and observation. The course is presenting aerosol properties (physical, chemical and optical) before describing in details the method of measurements (ground-based and satellite) and modeling (global and regional). Course details.
• Spring 2007-2008 Princeton AOS 580 Special topics: Aerosol, Cloud and Climate Change . The course is articulate around our present understanding of the effects of aerosols on climate which is synthesized in IPCC-IV Chapter 2 . The prerequisite is essentially to be senior or higher and a willingness to learn science.
• 2005-2007: Princeton AOS-527 Lectures on Aerosol Modeling and Observations

Publications

• List of publications with abstract and full text in pdf format: click here

Curriculum Vitae

• paul_ginoux_cv_September_2025

Links to aerosol datasets

• List of ground-based and satellite web sites providing chemical and optical properties of aerosol in different parts of the world: click here

Data

1. Ginoux, P. (2025), Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Terra Deep Blue Level 2 Aerosol Products MOD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), 10.5067/97NBV5RAIPB2
2. Ginoux, P. (2025), Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Aqua Deep Blue Level 2 Aerosol Products MYD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), 10.5067/7HMNS4GKXVRK
3. Ginoux, P. (2025), Climatological Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Aqua Deep Blue Level 2 Aerosol Products MYD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), 10.5067/0U8YH42HD3QK
4. Ginoux, P. (2025), Climatological Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Terra Deep Blue Level 2 Aerosol Products MOD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), 10.5067/5DI0OTH93I9C
5. Ginoux, P. (2025), Standard Deviation of Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Aqua Deep Blue Level 2 Aerosol Products MYD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), 10.5067/5YXHND14680I
6. Ginoux, P. (2025), Standard Deviation of Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Terra Deep Blue Level 2 Aerosol Products MOD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), 10.5067/PMBREH7Q9P50

Natural, anthropogenic and hydrologic dust sources

Dust sources detected from MODIS (Aqua) Deep Blue Level 2 aerosol products are attributed natural (yellow shading), anthropogenic (magenta shading) or hydrologic (blue shading) origin if at least 30% land use (anthropogenic) or 10% ephemeral water bodies (hydrologic) are present

Dust source inventory

Fractional area of grid cell with erodible dust

Velocity threshold of dust emission