Variations in Frequency and Intensity of Dust Events Crossing the Mongolia–China Border

Bao, Ting; Gao, Tao; Nandintsetseg, Banzragch; Yong, Mei; Jin, Erdemtu

doi:10.2151/sola.2021-026

Cited by 16 publications

(4 citation statements)

References 41 publications

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“…Based on data from 1980 to 2005, Zhang and Gao [19] found there were mainly three potential dust sources affecting northern China, and approximately 70% of the DS events impacting China originated from Mongolia. Bao et al [20] investigated the spatiotemporal variations of border-crossing dust events between Mongolia and Inner Mongolia and supported the results that the sand and dust from Mongolia play a major contribution to the DS events in China. Previous investigations have been conducted on the vertical structure during the dust period in arid and semiarid areas of China.…”

Section: Introductionmentioning

confidence: 80%

The Lower Atmospheric Characteristics of Dust Storms Using Ground-Based Sensor Data: A Comparative Analysis of Two Cases in Jinan, China

Li,

Tan,

Zhao

et al. 2024

Atmosphere

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Two severe dust storm (DS) events (15–17 March and 28–29 March) hit northern China in 2021 consecutively. The lower atmospheric vertical dynamic and thermal structures during the two cases were compared using the ground-based sensor data from the microwave radiometer and radar wind profiler, combined with the environmental and meteorological observations data in Jinan, China. It was found that both cases occurred under the background of cold vortexes over northeastern China. The dust was transported through the cold air on the northwest route. During the dust period, 2–3 km was the west or northwest airflow, and below 2 km was the northeast wind. The variation in the dynamic structure determined the duration of the DS. During the DS maintenance phase, the vertical wind shear (VWS) below 3 km measured approximately 10 m∙(s∙km)−1. The increased VWS during the dust intrusion period facilitated the transportation of dust. In contrast, the more significant VWS was not conducive to the maintenance of DS, and the shift to south wind control in the upper middle layer indicated the weakening of DS. In both cases, we observed a cliff-like decrease in relative humidity as a prominent indicator of dust outbreaks, occurring approximately 2–5 h beforehand. The diurnal difference between the vertical temperature and relative humidity during the dust maintenance period was found to be insignificant.

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Section: Introductionmentioning

confidence: 80%

The Lower Atmospheric Characteristics of Dust Storms Using Ground-Based Sensor Data: A Comparative Analysis of Two Cases in Jinan, China

Li,

Tan,

Zhao

et al. 2024

Atmosphere

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“…Moreover, China has been severely affected by SDSs. Studies have shown that the majority of the SDSs affecting China originate from Mongolia [5][6][7]. Bao et al [6] reported that, during 1977−2018, approximately 50% of the total spring dust days in China were attributable to cross-border SDSs originating from Mongolia.…”

Section: Introductionmentioning

confidence: 99%

“…Studies have shown that the majority of the SDSs affecting China originate from Mongolia [5][6][7]. Bao et al [6] reported that, during 1977−2018, approximately 50% of the total spring dust days in China were attributable to cross-border SDSs originating from Mongolia. In particular, in recent years, cross-border SDSs between Mongolia and China have occurred frequently, and their severe impacts on Northern China have attracted considerable attention.…”

Section: Introductionmentioning

confidence: 99%

Cross-Border Sand and Dust Storms between Mongolia and Northern China in Spring and Their Driving Weather Systems

Borjigin,

Bueh,

Yong

et al. 2024

Remote Sensing

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Sand and dust storms (SDSs) are particularly concerning natural disasters in East Asia. At present, there is still a lack of comprehensive knowledge of the characteristics of the cross-border SDSs between Mongolia and Northern China and the associated weather systems. This study identifies and documents the spring cross-border SDSs between Mongolia and Northern China based on the MODIS AOD map and Himawari-8/9 dust RGB images and analyzes the corresponding weather system types. A total of 76 spring cross-border SDSs were identified during 2000–2023, accounting for 55.1% of the total SDSs in both countries. The vast majority of the cross-border SDSs (86.8%) were related to Mongolian cyclones (MCs). Among them, 53.9% of the cross-border SDSs were mainly driven by Mongolian cyclones alone, and 32.9% were driven by the combination of MCs and cold highs (MC-CH type). Significant differences in the horizontal distribution of the SDSs were observed for different weather types. MCs alone trigger SDSs in the southern halves of the MCs, so the horizontal extent of the SDSs is consistent with that of MCs but larger than that associated with cold fronts. For the MC-CH type, strong winds in the southern flanks of MCs and their rear cold highs jointly drive a large-scale zonally extensive SDS belt. In recent years, particularly in 2021 and 2023, the strong cross-border SDSs have been dominated by the MC–CH type. This study provides a reference for the forecasting and early identification of cross-border SDS disasters.

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“…With the ensuing global climate change, extreme weather events are becoming more frequent [19,20]. Several studies have shown that both grassland fires and dust weather have increased in Mongolia recently [8,21,22]. Therefore, it is crucial to investigate whether grassland fires affect dust weather and the potential underlying mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Effect of Grassland Fires on Dust Storms in Dornod Aimag, Mongolia

Wen,

Yong,

Bao

et al. 2023

Remote Sensing

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Grassland fires and dust weather in Mongolia can trigger major cascading disasters. Grassland fires from autumn to the following spring can indirectly affect dust weather occurrence in the spring by affecting land surface vegetation cover. In this paper, we selected the aimag (province) of Dornod, Mongolia, a typical temperate grassland area, as the study area. The study aims to (1) analyze the spatiotemporal patterns of grassland fire and dust weather in the past 22 years, as well as the effect of grassland fire on dust weather and to (2) explore in depth the mechanisms of the effects of grassland fire on dust weather. To achieve these goals, we utilize high-resolution satellite burned-area data and Synop dust data. In general, grassland fire and dust weather occurrence clearly varied spatiotemporally across the study area. Grassland fires are typically more frequent in spring and autumn, and dust weather is mainly concentrated in spring. Cumulative grassland fires (both days and burned area) from autumn to the following spring affected the spring cumulative dust weather days significantly, especially the spring cumulative dust storm days. Analysis of the mechanism of the effect of grassland fire on dust storms showed that abundant summer precipitation resulted in higher vegetation cover and more accumulated fuel from autumn to April of the following spring. Consequently, the cumulative grassland fire days were higher, and the cumulative burned area was larger during the period, leading to a significant increase in cumulative dust storm days in May of the spring. In Mongolia, grassland fires are often caused by human factors. The findings of the present study could facilitate the crafting of measures to prevent and reduce grassland fires and indirectly minimize dust weather frequency to protect the ecological environment and promote sustainable development.

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Variations in Frequency and Intensity of Dust Events Crossing the Mongolia–China Border

Cited by 16 publications

References 41 publications

The Lower Atmospheric Characteristics of Dust Storms Using Ground-Based Sensor Data: A Comparative Analysis of Two Cases in Jinan, China

The Lower Atmospheric Characteristics of Dust Storms Using Ground-Based Sensor Data: A Comparative Analysis of Two Cases in Jinan, China

Cross-Border Sand and Dust Storms between Mongolia and Northern China in Spring and Their Driving Weather Systems

Effect of Grassland Fires on Dust Storms in Dornod Aimag, Mongolia

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