Long-term simulation of global dust distribution with the GOCART model: correlation with North Atlantic Oscillation

By Paul Ginoux, J. Prospero, Omar Torres, Mian Chin. Environmental Modelling & Software, 2004

524 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/926090bf4957245b43f9affc8d5e95d0ca85a6e4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. R. Easter
2. P. Stier
3. Steven Ghan
4. Michael Schulz
5. C. Randles
6. Bingqi Yi
7. A. Kirkevåg
8. T. Iversen

In Global and Planetary Change

1. R. Easter
2. P. Stier
3. Steven Ghan
4. Michael Schulz
5. C. Randles
6. Bingqi Yi
7. A. Kirkevåg
8. T. Iversen

Citations in the corpus

• Contrasting the direct radiative effect and direct radiative forcing of aerosols (2014, methodology): “, 2006), the impacts of CO 2 fertilization on aerosol precursor emissions (Heald et al., 2009), increases in biogenic aerosol formation associated with temperature-driven increases in biogenic volatile organic compound (VOC) emissions (Tsigaridis and Kanakidou, 2007; Heald et al., 2008), or trends i”
• The AFWA dust emission scheme for the GOCART aerosol model in WRF-Chem v3.8.1 (2019, methodology): “To support the objectives of this paper, we provide a full documentation of the GOCART-WRF dust emission scheme, including changes that have been made to the code since Ginoux et al. (2001, 2004) that are otherwise incompletely documented in the literature.”
• Regional impacts of iron-light colimitation in a global biogeochemical model (2009, background): “Iron is supplied to the ocean surface layer according to a prescribed climatological aeolian dust source (Ginoux et al., 2004) 10 which totals 3.”
• Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results (2012, methodology): “1) simulated by the GOCART model [Ginoux et al., 2004; Chin et al., 2009] to mean extinction profiles derived from CALIOP measurements under clear sky conditions over 13 sub-continental regions from June 2006 to November 2007.”
• Impact of radiatively interactive dust aerosols in the NASA GEOS‐5 climate model: Sensitivity to dust particle shape and refractive index (2014, methodology): “The Asian dust emissions appear particularly anemic in this model relative to other models [e.g., Ginoux et al., 2004].”
• Atmospheric iron deposition: global distribution, variability, and human perturbations. (2009, background): “…averaged deposition (or higher resolution) at any location globally, and have been evaluated for mean distribution (e.g., Tegen & Fung 1994, Ginoux et al. 2001), interannual variability (Mahowald et al. 2003, Ginoux et al. 2004), and daily variability (e.g., Mahowald et al. 2002, Hand et al. 2004).”
• Simulation of particle size distribution with a global aerosol model: contribution of nucleation to aerosol and CCN number concentrations (2009, unknown): “Dust particles in GEOS-Chem are represented by 4 size sections (diameters: 0.2–2.0, 2.0–3.6, 3.6–6.0, and 6.0– 12.0µm) (Ginoux et al., 2004).”
• On the contribution of natural Aeolian sources to particulate matter concentrations in Europe: Testing hypotheses with a modelling approach (2005, methodology): “In order to take into account aerosols transported from the boundaries of the model domain, we use, for aerosols only, values obtained from the GOCART model (Ginoux et al., 2001; Ginoux et al., 2004) simulation, while for the gas-phase species, the MOZART (Horowitz et al.”
• Modelling the effect of size on the aerial dispersal of microorganisms (2012, unknown): “We based the emission and transport schemes of microorganisms on those originally developed for mineral dust (Ginoux et al., 2004), but we introduced various modifications, as explained below, to make the particles a better match for airborne microorganisms.”
• Dust cycle: An emerging core theme in Earth system science (2011, background): “Since the 1990s, there has been considerable effort to develop global dust models (Tegen and Fung, 1994, 1995; Zender et al., 2003; Ginoux et al., 2004; Tanaka and Chiba, 2006).”