GFDL - Geophysical Fluid Dynamics Laboratory

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Paul Ginoux

Paul Ginoux

Physical Scientist

Atmospheric Physics, Chemistry  and Climate Group

Phone: (609) 987-5071

Fax: (609) 987-5065


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

After spending a few years, implementing and evaluating aerosols into the GFDL GCM [Ginoux et al., 2006; Donner et al., 2011], I am particularly interested in comparing the model results with observations [Li et al., 2008; Magi et al., 2009; Ganguly et al., 2009a, 2009b]. Generally, discrepancies between them are quite informative and generate new ideas [Ganguly et al., 2009b]. Among the different aerosol types, dust is of particular interest because of its properties. Due the chemical, physical and optical properties, dust particles interact with solar and terrestrial radiation [Ginoux et al., 2001; Weaver et al., 2002, 2003; Ginoux et al., 2004; Li et al., 2008], clouds [Ming et al., 2007; Salzman et al., 2010], ocean biogeochemistry [Gregg et al., 2003a, 2003b; Erickson et al., 2003] , ozone photochemistry [Martin et al., 2002; Martin et al., 2003], and vegetation (provides nutrients). Dust plumes can be transported over very long distances [Grousset et al., 2003; Kaufman et al., 2005], and models are the best tools to study them. I am currently focusing on detecting dust sources using MODIS Deep Blue aerosol products [Ginoux et al., 2010; Draxler et al., 2010], which provide better spatial resolution and more quantitative properties than the TOMS Aerosol Index used 10 years ago to develop global dust sources inventory [Ginoux et al., 2001], and their characterization [Prospero et al., 2002].  I have also been working on dust during past climates, in particular during the Last Glacial Maximum [Li et al., 2010b], after analyzing the origin of dust in ice cores [Li et al., 2008, 2010a]. In term of model development, I am in the process of implementing dust emission and deposition into the GFDL dynamic land model (LM3). This is the best way to study properly dust feedbacks on climate, and simulate the infamous "Dust Bowl" of the 1930ies. With dust in the dynamic land model, we will be able to study past and present interactions, as well as making projections in association with droughts.

Recent results

 - The first global detection and attribution of anthropogenic dust sources using MODIS satellite data indicates that 25% of dust emission is from anthropogenic sources. Interestingly, these anthropogenic sources are often located in monsoon area nearby ephemeral lakes or rivers, which makes them sensitive to changes in the hydrological cycle (Ginoux et al., 2012a)

- The collocation of MODIS dust burden and IASI NH3 shows remarkable similarity in their sources, which is indicative of their mixing. Indeed, we found that 22% of dust burden is collocated with NH3. These results imply that a significant amount of dust is already mixed with ammonium salts before its long range transport. This in turn will affect dust lifetime, and its interactions with radiation and cloud properties (Ginoux et al., 2012b)

Research Activities

  • Study the aerosols direct and indirect effects on climate using GFDL climate model and observations.
  • Model development at GFDL: implementation of on-line aerosols in the GFDL Atmospheric Model (AM3), and its evaluation by comparing aerosol properties with ground-based and satellite data.
  • Inventory of Dust sources: development of global inventory of dust sources using satellite data. Participation to GEIA-ACCENT .
  • Intercomparison of Aerosol Models: Participation to AEROCOM

Service to profession

  • Organization of the 8th International AeroCom workshop at GFDL, October 5-7, 2009
  • Review manuscripts submitted for publication in peer reviewed journals
  • Review proposals submitted for funding for DOE, NASA, NOAA, NSF, National Research council of Canada and Taiwan.

Teaching Activities

  • Fall 2011 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 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 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: Lectures on Aerosol Modeling and Observations within AOS-527 class on Atmospheric Radiative Transfer


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

Curriculum Vitae

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