Paul Ginoux
Organization:
NOAA Geophysical Fluid Dynamics Laboratory
Email:
Business Address:
NOAA GFDL Forrestal Campus
210 Forrestal Road
Princeton, NJ 08540
United StatesWebsite:
First Author Publications:
- Ginoux, P., et al. (2013), OF ANTHROPOGENIC AND NATURAL DUST SOURCES AND THEIR EMISSION RATES BASED ON MODIS DEEP BLUE AEROSOL PRODUCTS, Rev. Geophys..
- Ginoux, P., et al. (2012), Mixing of dust and NH3 observed globally over anthropogenic dust sources, Atmos. Chem. Phys., 12, 7351-7363, doi:10.5194/acp-12-7351-2012.
- Ginoux, P., et al. (2004), Long-term simulation of global dust distribution with the GOCART model: correlation with North Atlantic Oscillation, Environmental Modelling & Software, 19, 113-128, doi:10.1016/S1364-8152(03)00114-2.
- Ginoux, P., et al. (2001), Sources and global distributions of dust aerosols simulated with the GOCART model, J. Geophys. Res., 106, 20,255-20,273.
Co-Authored Publications:
- Li, L., et al. (2021), Quantifying the range of the dust direct radiative effect due to source mineralogy uncertainty, Atmos. Chem. Phys., 21, 3973-4005, doi:10.5194/acp-21-3973-2021.
- Song, Q., et al. (2021), Global dust optical depth climatology derived from CALIOP and MODIS aerosol retrievals on decadal timescales: regional and interannual variability, Atmos. Chem. Phys., 21, 13369-13395, doi:10.5194/acp-21-13369-2021.
- Pu, B., et al. (2020), Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land–atmosphere model (GFDL AM4.0/LM4.0), Atmos. Chem. Phys., 20, 55-81, doi:10.5194/acp-20-55-2020.
- Pu, B., et al. (2019), Seasonal Prediction Potential for Springtime Dustiness in the United States, Geophys. Res. Lett., 46, 9163-9173, doi:10.1029/2019GL083703.
- Pu, B., and P. Ginoux (2018), Climatic factors contributing to long-term variations in surface fine dust concentration in the United States, Atmos. Chem. Phys., 18, 4201-4215, doi:10.5194/acp-18-4201-2018.
- Pu, B., and P. Ginoux (2018), How reliable are CMIP5 models in simulating dust optical depth?, Atmos. Chem. Phys., 18, 12491-12510, doi:10.5194/acp-18-12491-2018.
- Pu, B., and P. Ginoux (2017), Projection of American dustiness in the late 21st century due to climate change, Nature-Scientific Reports, doi:10.1038/s41598-017-05431-9.
- Ge, C., et al. (2016), Satellite-based global volcanic SO2 emissions and sulfate direct radiative forcing during 2005–2012, J. Geophys. Res., 121, 3446-3464, doi:10.1002/2015JD023134.
- Pu, B., and P. Ginoux (2016), The impact of the Pacific Decadal Oscillation on springtime dust activity in Syria, Atmos. Chem. Phys., 16, 13431-13448, doi:10.5194/acp-16-13431-2016.
- Guo, H., et al. (2015), CLUBB as a unified cloud parameterization: Opportunities and challenges, Geophys. Res. Lett., 42, 4540-4547, doi:10.1002/2015GL063672.
- Guo, H., et al. (2014), Multivariate Probability Density Functions with Dynamics in the GFDL Atmospheric General Circulation Model: Global Tests, J. Climate, 27, 2087-2108, doi:10.1175/JCLI-D-13-00347.1.
- Kim, D., et al. (2013), The effect of the dynamic surface bareness on dust source function, emission, and distribution, J. Geophys. Res., 118, 1-16, doi:10.1029/2012JD017907.
- Koffi, B., et al. (2012), Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results, J. Geophys. Res., 117, D10201, doi:10.1029/2011JD016858.
- Huneeus, N., et al. (2011), Global dust model intercomparison in AeroCom phase I, Atmos. Chem. Phys., 11, 7781-7816, doi:10.5194/acp-11-7781-2011.
- Koch, D., et al. (2009), Evaluation of black carbon estimations in global aerosol models, Atmos. Chem. Phys., 9, 9001-9026, doi:10.5194/acp-9-9001-2009.
- Dubovik, O., et al. (2008), Retrieving global aerosol sources from satellites using inverse modeling, Atmos. Chem. Phys., 8, 209-250, doi:10.5194/acp-8-209-2008.
- Chin, M., et al. (2007), Intercontinental transport of pollution and dust aerosols: implications for regional air quality, Atmos. Chem. Phys., 7, 5501-5517, doi:10.5194/acp-7-5501-2007.
- Textor, C., et al. (2007), The effect of harmonized emissions on aerosol properties in global models – an AeroCom experiment, Atmos. Chem. Phys., 7, 4489-4501, doi:10.5194/acp-7-4489-2007.
- Weaver, C., et al. (2007), Direct Insertion of MODIS Radiances in a Global Aerosol Transport Model, J. Atmos. Sci., 64, 808-826, doi:10.1175/JAS3838.1.
- Kinne, S., et al. (2006), An AeroCom initial assessment – optical properties in aerosol component modules of global models, Atmos. Chem. Phys., 6, 1815-1834, doi:10.5194/acp-6-1815-2006.
- Textor, C., et al. (2006), Analysis and quantification of the diversities of aerosol life cycles within AeroCom, Atmos. Chem. Phys., 6, 1777-1813, doi:10.5194/acp-6-1777-2006.
- Chin, M., et al. (2004), Aerosol distribution in the Northern Hemisphere during ACE-Asia: Results from global model, satellite observations, and Sun photometer measurements, J. Geophys. Res., 109, D23S90, doi:10.1029/2004JD004829.
- Chin, M., et al. (2003), A global aerosol model forecast for the ACE-Asia field experiment, J. Geophys. Res., 108, 8654, doi:10.1029/2003JD003642.
- Kinne, S., et al. (2003), Monthly averages of aerosol properties: A global comparison among models, satellite data, and AERONET ground data, J. Geophys. Res., 108, 4634, doi:10.1029/2001JD001253.
- Martin, R., et al. (2003), Global and Regional Decreases in Tropospheric Oxidants from Photochemical Effects of Aerosols, J. Geophys. Res., 108, 4097, doi:10.1029/2002JD002622.
- Chin, M., et al. (2002), Tropospheric Aerosol Optical Thickness from the GOCART Model and Comparisons with Satellite and Sun Photometer Measurements, J. Atmos. Sci., 59, 461-483.