Climatology of dust storms in northern China and Mongolia: Results from MODIS observations during 2000–2010

Liu, Yang

doi:10.1007/s11442-015-1235-2

Cited by 12 publications

(6 citation statements)

References 21 publications

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“…Two basic conditions include the surface dust source and atmospheric thermodynamical force. For the dust source, Asian dust mainly originates from elevated ground surfaces at 1,500 m above sea level in the Taklamakan, Gobi in Mongolia, and Ordos deserts, Hexi Corridor, Horqin Sandy Land, and Qaidam Basin, and the Loess Plateau in northwestern China and occurs seasonally in dry spring (Choi & Zhang, 2008; Liu & Liu, 2015). This is true that many deserts lie in Mongolia and northern China, making it a major global source region for dust storms (Prospero et al., 2002).…”

Section: Introductionmentioning

confidence: 99%

Anomaly Based Synoptic Analysis and Model Prediction of Six Dust Storms Moving From Mongolia to Northern China in Spring 2021

Qian

Leung²,

Ren

et al. 2022

JGR Atmospheres

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Six dust storms that originated from Mongolia and moved to northern China in Spring 2021 are investigated by the anomaly variable‐based analysis method, which is compared to the traditional total‐variable based analysis method. Strong surface wind is a force to form dust storms as commonly known in current practice. However, dust area depicted by total‐wind model product analysis and operational forecast has a large bias to observation even for leading 24 hr. The analysis method of anomaly based variables showed that the domain of an airborne dust storm observed from satellite images is usually located between two neighboring convergence lines of 850 hPa anomalous winds. This connection of dust storm associated with the anomalous wind convergence extends southwestward from an anomalous cyclone and moves from Mongolia to northern China or Northeast China. It is thermodynamically associated with an anomalous thermal contrast, which has a spatial structure of wind, temperature, and geopotential height anomalies in the troposphere. We further found that numerical weather prediction products of the ECMWF model are able to indicate the anomalous wind pattern with lead times of 4–8 days by applying the anomaly based analysis approach. Therefore, this approach can not only depict dust area better but also reveal predictors much easier compared to the traditional total‐variable or full‐field‐based analysis method.

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Section: Introductionmentioning

confidence: 99%

Anomaly Based Synoptic Analysis and Model Prediction of Six Dust Storms Moving From Mongolia to Northern China in Spring 2021

Qian

Leung²,

Ren

et al. 2022

JGR Atmospheres

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“…Dust emissions are largely dependent on wind patterns. The primary wind source areas in the TD are the eastern narrow entrance and the southern edge, and the highest frequency occurs in the eastern narrow entrance of the TD near Lop Nor [71]. The spatial distribution of dust emission aligns with the wind field, as the dust emission anomaly extends from the eastern entrance toward the center of the basin, with the highest anomaly value near the entrance of the Tarim basin.…”

Section: Near-surface Meteorological Factorsmentioning

confidence: 76%

“…Dust emissions are largely dependent on wind patterns. The primary wind source areas in the TD are the eastern narrow entrance and the southern edge, and the highest frequency occurs in the eastern narrow entrance of the TD near Lop Nor [71]. The spatial distribution of dust By comparing the vertical distribution of satellite data and reanalysis data from the TD, it can be seen that positive dust-mixing ratio anomalies are observed from near the ground to high altitudes in the SDAP, whereas negative anomalies are present during the SDIP.…”

Section: Near-surface Meteorological Factorsmentioning

confidence: 99%

Summer Extreme Dust Activity in the Taklimakan Desert Regulated by the South Asian High

Wang

Han

et al. 2023

Remote Sensing

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Summer dust aerosol in the Taklimakan Desert (TD) affects not only the albedo of the snow and ice sheets on the Tibetan Plateau (TP) but also air quality and precipitation in the downstream areas. In this study, the summer extreme dust activity in the TD was jointly investigated by using satellite observations and MERRA-2 reanalysis datasets and divided into two states: dust active period and dust inactive period. The horizontal and vertical distribution of summer dust during both the dust active and inactive periods, as derived from the MERRA-2 dataset, is consistent with satellite observations. By comparing the upper-level circulation and surface meteorological elements at two periods, we identify the South Asian High (SAH) as the dominant factor driving the extreme dust activity in the TD during summer. When the SAH is centered on the Iranian Plateau (IP), the dust aerosol in the TD exhibits increased activity and is lifted to higher altitudes due to significantly enhanced westerly winds, near-surface wind speed, and an ascending motion. Conversely, when the SAH is centered on the TP, the summer dust activity shows the opposite behavior. These new findings on the regulatory mechanism of the SAH on the summer dust activity in the TD are highly significant for understanding the occurrence and transport of summer Asian dust and its potential impact on heavy precipitation in the downstream areas.

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“…Due to their spatio-temporal characteristics, EO data has become one of the most commonly used approaches to detect and map dust events (Hansell et al 2007;Baddock et al 2009;Vickery et al 2013). EO imagery from Meteosat (Legrand et al 2001;Moorthy et al 2007), MISR (Prasad and Singh 2007;Tesfaye et al 2011; Rashki et al 2013), Advanced Very High Resolution Radiometer (AVHRR; Cakmur, Miller and Tegen 2001;Zhu et al 2007), Sea-viewing Wide Field-of-view Sensor (SeaWiFS;Fischer et al 2009;Mélin et al2010), Total Ozone Mapping Spectrometer (TOMS;El-Askary et al 2006;Rashki et al 2013) and MODIS (Karimi et al 2012;Sayer et al 2013;Liu and Liu 2015;O'Loingsigh et al 2015) have been used to detect dust events over different regions.…”

Section: Introductionmentioning

confidence: 99%

An evaluation of satellite dust-detection algorithms in the Middle East region

Abdulwahed

Dash

Roberts

2018

International Journal of Remote Sensing

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In recent years, the frequency, spatial extent and intensity of dust storms has increased and it is one of the main continuously occurring environmental hazard in the Middle East region. Since dust storms generally cover a large spatial extent and are highly dynamic, satellite Earth Observation is a key tool for detecting their occurrence, identifying their origin and monitoring their transport and state. A variety of satellite dust detection algorithms have been developed to identify dust emissions sources and dust plumes once entrained in the atmosphere. This paper evaluates the performance of five widely applied dust detection algorithms: the Brightness Temperature Difference (BTD), D-parameter, Normalized Difference Dust Index (NDDI), Thermal-Infrared Dust Index (TDI) and the Middle East Dust Index (MEDI). These algorithms are applied to MODIS (MOD21KM) data to detect dust-contaminated pixels during three significant dust events in 2007 in the Middle East region that originated from sources in Iraq, Syria and Saudi Arabia. The results indicate that all methods have a comparable performance in detecting dust-contaminated pixels during the three dust events with an average detection rate (between all algorithms) of 85%. However, substantial differences exist in their ability to distinguish dust from clouds and the land surface, which resulted in large errors of commission. Direct validation of these algorithms with observations from seven Aerosol Robotic Network (AERONET) stations in the region found an average false detection rate (between all algorithms) of 89.6%. Although the algorithms performed well in detecting the dust contaminated pixels their high false detection rate means it is challenging to apply these algorithms in operational context.

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Climatology of dust storms in northern China and Mongolia: Results from MODIS observations during 2000–2010

Cited by 12 publications

References 21 publications

Anomaly Based Synoptic Analysis and Model Prediction of Six Dust Storms Moving From Mongolia to Northern China in Spring 2021

Anomaly Based Synoptic Analysis and Model Prediction of Six Dust Storms Moving From Mongolia to Northern China in Spring 2021

Summer Extreme Dust Activity in the Taklimakan Desert Regulated by the South Asian High

An evaluation of satellite dust-detection algorithms in the Middle East region

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