Impact of El Niño-Southern Oscillation on Dust Variability during the Spring Season over the Arabian Peninsula

被引:0
|
作者
Alsubhi, Yazeed [1 ,2 ]
Ali, Gohar [3 ]
机构
[1] King Abdulaziz Univ, Dept Meteorol, Jeddah 22254, Saudi Arabia
[2] King Abdulaziz Univ, Ctr Excellence Climate Change Res CECCR, Jeddah 22254, Saudi Arabia
[3] Pakistan Meteorol Dept, Res & Dev Div, Islamabad 44000, Pakistan
关键词
dust aerosol optical depth (DAOD); dust concentration; ENSO; La Ni & ntilde; a; Arabian Peninsula; SURFACE AIR-TEMPERATURE; AEROSOL OPTICAL DEPTH; MIDDLE-EAST; METEOROLOGICAL PARAMETERS; AOD TRENDS; PREDICTABILITY; PRECIPITATION; TRANSPORT; RAINFALL; MODEL;
D O I
10.3390/atmos15091060
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study investigates the dust aerosol optical depth (DAOD) variability over the Arabian Peninsula (AP) in the spring season, a region profoundly affected by dust activity due to its desert terrain. Employing the MERRA-2 DAOD reanalysis dataset for the period 1981-2022, a significant trend in DAOD is noted in the spring season compared to the other seasons. The leading Empirical Orthogonal Function (EOF) explains 67% of the total DAOD variance during the spring season, particularly over the central and northeastern parts of AP. The analysis reveals the strengthening of upper-level divergence over the western Pacific, favoring mid-tropospheric positive geopotential height anomalies over the AP, leading to warm and drier surface conditions and increased DAOD. A statistically significant negative relationship (correlation = -0.32, at 95% confidence level) is noted between DAOD over AP and the El Ni & ntilde;o-Southern Oscillation (ENSO), suggesting that La Ni & ntilde;a conditions may favor higher dust concentrations over the AP region and vice versa during El Ni & ntilde;o phase. The high (low) DAOD over the region corresponds to mid-tropospheric positive (negative) geopotential height anomalies through strengthening (weakening) of the upper-level divergence (convergence) over the western Pacific during the La Ni & ntilde;a (El Ni & ntilde;o) phase. This study shows that ENSO could be a possible precursor to predicting dust variability on a seasonal time scale.
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页数:15
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