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Paul Ginoux

Physical Scientist

Earth System Processes and Interactions Division

Curriculum vitae

Bibliography

Contact Information:

phone (609) 987-5071

email

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

  • Modeling impacts of dust mineralogy on fast climate response (Song et al., 2024)
  • The land component LM4. 1 of the GFDL Earth System Model ESM4.1 (Shevliakova et al., 2024)
  • The GFDL Variable‐Resolution Global Chemistry‐Climate Model for Research at the Nexus of US Climate and Air Quality Extremes (Lin et al., 2024)

Research Activities

Awards

  • 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 8th International AeroCom workshop at GFDL, October 5-7, 2009
  • Review manuscripts submitted for publication in peer reviewed journals
  • Lab reviews: LISA (Paris, France, 2014), LOA (Lille, France,
  • Review proposals submitted for funding for DOE, NASA, NOAA, NSF, Bi-National (Israel-US) Science
    Foundation, National Research council of Canada, Israel, United Kingdom, and Taiwan.

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

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

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

Units % FoO Dust Optical Depth>0.2
Resolution 0.1×0.1 degree (~10km)
Format kmz (zip kml file, no need to unzip just open with Google Earth)
Files AustraliaNorth AfricaSouth AfricaMiddle East, Central-South Asia, East Asia, North America, South America
Reference Ginoux et al. (2010)Ginoux et al. (2012)

Dust source inventory

Fractional area of grid cell with erodible dust

Units none
Representation cartesian latitude-longitude grid
Resolution 1×1 or 0.25×0.25
Format netcdf
Reference Ginoux et al. (2001)

Velocity threshold of dust emission

Units m/s
Representation cartesian latitude-longitude grid
Spatial Resolution 0.5×0.5 degree
Temporal Resolution (DOD>0.2) Annual, Monthly
Temporal Resolution (DOD>0.5) Annual, Monthly
Format netcdf
Reference Pu et al., 2020