Incorporating the effect of small‐scale circulations upon dust emission in an atmospheric general circulation model
By R. V. Cakmur, Ronald L. Miller, Omar Torres. 2004
145 citations recorded by the source corpus.
Subfields: Atmospheric Science, Earth-Surface Processes, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/851571f734ceb8310100a840e80e1bd55ba22dbb
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Citations in the corpus
- Dynamical mechanisms controlling the vertical redistribution of dust and the thermodynamic structure of the West Saharan atmospheric boundary layer during summer (2009, background): “In addition, winds from the boundary-layer convection itself can enhance dust uplift (Cakmur et al ., 2004; Marsham et al ., 2008b).”
- Feedback upon dust emission by dust radiative forcing through the planetary boundary layer (2004, background): “By reducing the sensible heat flux, dust radiative forcing is expected to further reduce emission, especially over the Sahara and Taklimakan deserts, where wind fluctuations that are not explicitly resolved have the greatest effect upon emission [Cakmur et al., 2004].”
- Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive (2014, methodology): “Emissions depend upon the surface wind speed distribution calculated by the planetary boundary layer scheme every physics time step, also accounting for wind gusts [Cakmur et al., 2004].”
- Mineral dust aerosols in the NASA Goddard Institute for Space Sciences ModelE atmospheric general circulation model (2006, methodology): “…probability distribution p(w) dw constructed by Cakmur et al. [2004] resembles the Weibull distribution fitted empirically to wind observations [Justus and Mikhail, 1976; Pavia and O'Brien, 1986] , and proposed for the calculation of dust emission [Gillette and Passi, 1988; Grini and Zender, 2004].”
- Dust devils on Earth and Mars (2006, background): “Cakmur et al. [2004] initiated studies to parameterize dust lifting by local circulation into global climate models, but much remains to be done.”
- Impact of radiatively interactive dust aerosols in the NASA GEOS‐5 climate model: Sensitivity to dust particle shape and refractive index (2014, methodology): “Some groups have attempted to correct for these deficiencies in coarse spatial resolution climate models by imposing distribution functions on the grid box mean wind speeds [e.g., Cakmur et al., 2004; Su and Toon, 2009].”
- The Probability Distribution of Sea Surface Wind Speeds. Part I: Theory and SeaWinds Observations (2006, background): “In particular, the study of seasonal and latitudinal variation of Weibull parameters by Pavia and O’Brien (1986) used ship-based wind speed observations from a single year (1983), with very poor spatial resolution over the tropical and Southern Hemisphere oceans.”