scholarly journals Exceptional Air Mass Transport and Dynamical Drivers of an Extreme Wintertime Arctic Warm Event

2017 ◽  
Vol 44 (23) ◽  
pp. 12,028-12,036 ◽  
Author(s):  
Hanin Binder ◽  
Maxi Boettcher ◽  
Christian M. Grams ◽  
Hanna Joos ◽  
Stephan Pfahl ◽  
...  
Keyword(s):  
Mass Transport ◽  
Air Mass ◽  
Warm Event

Investigation of airborne lead concentrations in relation to Asian Dust events and air mass transport pathways

2006 ◽  
Vol 37 (12) ◽  
pp. 1809-1825 ◽  
Author(s):  
Ki-Hyun Kim ◽  
Chang-Hee Kang ◽  
Jin-Hong Lee ◽  
Kum-Chan Choi ◽  
Yong-Hoon Youn ◽  
...  
Keyword(s):  
Mass Transport ◽  
Asian Dust ◽  
Transport Pathways ◽  
Air Mass ◽  
Dust Events ◽  
Airborne Lead

scholarly journals Sub-seasonal Variability in the Boundary Layer Sources for Transport into the Tropopause Layer in the Asian Monsoon Region

2017 ◽  
Author(s):  
Bin Chen ◽  
Bärbel Vogel ◽  
Xiangde Xu ◽  
Shuai Yang
Keyword(s):  
Boundary Layer ◽  
Tibetan Plateau ◽  
Mass Transport ◽  
Seasonal Variability ◽  
The Tibetan Plateau ◽  
Southern Slope ◽  
Seasonal Behavior ◽  
Air Mass ◽  
Source Regions ◽  
Wide Range

Abstract. The Asian summer monsoon (ASM) is associated with an upper-level anticyclone and acts as a well-recognized conduit for troposphere-to-stratosphere transport. The Lagrangian dispersion and transport model FLEXPART forced by ERA-Interim data from 2001–2013 was used to perform climatological modeling of the summer season (May–July). This study examines the properties of the air mass transport from the atmospheric boundary layer (BL) to the tropopause layer (TL), with particular focus on the sub-seasonal variability in the tracer-independent BL sources and the potential controlling mechanisms. The results show that, climatologically, the three most impactful BL source regions are northern India, the Tibetan Plateau, and the southern slope of the Himalayas. These regions are consistent with the locations of sources identified in previous studies. However, upon closer inspection, the different source regions to the BL-to-TL air mass transport are not constant in location or shape and are strongly affected by sub-seasonal variability. The contributions from the Tibetan Plateau are most significant in early May but decrease slightly in mid-May to mid-June. In contrast, the contributions from India and the southern slope of the Himalayas increase dramatically, with peak values occurring in mid-July. Empirical Orthogonal Function (EOF) analysis provides further evidence that the BL sources in the ASM region vary across a wide range of spatiotemporal scales. The sub-seasonal behavior of these BL sources is closely related to the strength of persistent deep convection activity over the northern Bay of Bengal and its neighboring areas.

Climatological features of blocking highs from the perspective of air mass and mass transport

2019 ◽  
Vol 40 (2) ◽  
pp. 782-794 ◽  
Author(s):  
Yafei Li ◽  
Rongcai Ren ◽  
Ming Cai ◽  
Yueyue Yu
Keyword(s):  
Mass Transport ◽  
Air Mass

Columnar aerosol optical and radiative properties according to season and air mass transport pattern over East Asia

2011 ◽  
Vol 184 (8) ◽  
pp. 4763-4775 ◽  
Author(s):  
Young M. Noh ◽  
Detlef Müller ◽  
Hanlim Lee ◽  
Kwonho Lee ◽  
Young Joon Kim
Keyword(s):  
Mass Transport ◽  
East Asia ◽  
Radiative Properties ◽  
Air Mass

scholarly journals Chemical characteristics of submicron particles at the central Tibetan Plateau: insights from aerosol mass spectrometry

2018 ◽  
Vol 18 (1) ◽  
pp. 427-443 ◽  
Author(s):  
Jianzhong Xu ◽  
Qi Zhang ◽  
Jinsen Shi ◽  
Xinlei Ge ◽  
Conghui Xie ◽  
...  
Keyword(s):  
Chemical Composition ◽  
High Resolution ◽  
Tibetan Plateau ◽  
Mass Transport ◽  
Mass Concentration ◽  
Organic Aerosol ◽  
Early Morning ◽  
Monsoon Period ◽  
Air Mass ◽  
Aerosol Mass

Abstract. Recent studies have revealed a significant influx of anthropogenic aerosol from South Asia to the Himalayas and Tibetan Plateau (TP) during pre-monsoon period. In order to characterize the chemical composition, sources, and transport processes of aerosol in this area, we carried out a field study during June 2015 by deploying a suite of online instruments including an Aerodyne high-resolution time-of-flight aerosol mass spectrometer (HR-AMS) and a multi-angle absorption photometer (MAAP) at Nam Co station (90∘57′ E, 30∘46′ N; 4730 m a.s.l.) at the central of the TP. The measurements were made at a period when the transition from pre-monsoon to monsoon occurred. The average ambient mass concentration of submicron particulate matter (PM1) over the whole campaign was ∼ 2.0 µg m−3, with organics accounting for 68 %, followed by sulfate (15 %), black carbon (8 %), ammonium (7 %), and nitrate (2 %). Relatively higher aerosol mass concentration episodes were observed during the pre-monsoon period, whereas persistently low aerosol concentrations were observed during the monsoon period. However, the chemical composition of aerosol during the higher aerosol concentration episodes in the pre-monsoon season was on a case-by-case basis, depending on the prevailing meteorological conditions and air mass transport routes. Most of the chemical species exhibited significant diurnal variations with higher values occurring during afternoon and lower values during early morning, whereas nitrate peaked during early morning in association with higher relative humidity and lower air temperature. Organic aerosol (OA), with an oxygen-to-carbon ratio (O ∕ C) of 0.94, was more oxidized during the pre-monsoon period than during monsoon (average O ∕ C ratio of 0.72), and an average O ∕ C was 0.88 over the entire campaign period, suggesting overall highly oxygenated aerosol in the central TP. Positive matrix factorization of the high-resolution mass spectra of OA identified two oxygenated organic aerosol (OOA) factors: a less oxidized OOA (LO-OOA) and a more oxidized OOA (MO-OOA). The MO-OOA dominated during the pre-monsoon period, whereas LO-OOA dominated during monsoon. The sensitivity of air mass transport during pre-monsoon with synoptic process was also evaluated with a 3-D chemical transport model.

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