2017
DOI: 10.1002/2017jd026672
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The Role of Jet Adjustment Processes in Subtropical Dust Storms

Abstract: Meso‐α/β/γ scale atmospheric processes of jet dynamics responsible for generating Harmattan, Saudi Arabian, and Bodélé Depression dust storms are analyzed with observations and high‐resolution modeling. The analysis of the role of jet adjustment processes in each dust storm shows similarities as follows: (1) the presence of a well‐organized baroclinic synoptic scale system, (2) cross mountain flows that produced a leeside inversion layer prior to the large‐scale dust storm, (3) the presence of thermal wind imb… Show more

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Cited by 10 publications
(17 citation statements)
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“…Regarding dust emissions, the key factor is the enforcement of the boundary layer turbulent kinetic energy (TKE) [68]. This is evident at the 925 hPa map at 0900 UTC (Figure 3b) where the highest TKE values (up to 2 m 2 s −2 ) are found at northeast Libya coinciding with the generation area of the dust storm in the model as shown in the following paragraphs.…”
Section: Atmospheric Dynamicsmentioning
confidence: 86%
“…Regarding dust emissions, the key factor is the enforcement of the boundary layer turbulent kinetic energy (TKE) [68]. This is evident at the 925 hPa map at 0900 UTC (Figure 3b) where the highest TKE values (up to 2 m 2 s −2 ) are found at northeast Libya coinciding with the generation area of the dust storm in the model as shown in the following paragraphs.…”
Section: Atmospheric Dynamicsmentioning
confidence: 86%
“…For the study of synoptic to meso-scale observational atmospheric processes that organize conditions favorable for a Kelvin wave, surface pressure, geopotential height, air temperature, wind speed and direction, vertical motion, vertically integrated atmospheric mass tendency, and kinetic energy due to the pressure gradient force obtained from the Modern-Era Retrospective analysis for Research and Applications (MERRA) model (https://disc.sci.gsfc.nasa.gov/ mdisc/data-holdings/merra/merra_products_nonjs.shtml, last access: 8 November 2014; Rinecker et al, 2011) were analyzed. These data were used to create horizontal cross sections at different pressure levels, as well as vertical cross sections of u and v wind speed, and isentropic surfaces at a resolution of 0.50 • × 0.67 • .…”
Section: Methodsmentioning
confidence: 99%
“…Table 1. List of observational data sets and horizontal grid dimensions, integration times, and WRF model physics applied in all three dust storm cases (Pokharel, 2016;Pokharel et al, 2017b (1) Momentum and heat fluxes at the surface using an Eta surface layer scheme (Janjić, 1996(Janjić, , 2001) that follows depth by MODIS, surface data from Weather Underground, and MERRA 208 × 274 grid points (18 km grid spacing)…”
Section: Observational and Model Analysesmentioning
confidence: 99%
“…Despite the large and increasing number of studies on dust transport, its impact on the Earth system remains very uncertain (see e.g., [39,[75][76][77][78][79][80]). Dust redistributes energy by scattering and absorbing both solar and terrestrial radiation.…”
Section: The Dustiness Of the Atmosphere And Climatementioning
confidence: 99%