A study of the microphysical processes in a numerically simulated heavy snowfall event in North China: the sensitivity of different snow intercept parameters

Lin, Wenshi; Jin-ping, Meng; Sui, C.-H.; Meng, Weizhi; Li, Jiangnan

doi:10.1007/s00703-008-0007-2

Cited by 5 publications

(3 citation statements)

References 20 publications

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“…Many of the previous studies on the ISE focused on case studies [ Sanderson and Mason , 1958; Rosenblum and Sanders ,1974; Sanders and Bosart , 1985; Marwitz and Toth , 1993; Mote et al , 1997; Market and Cissell , 2002; Heo and Ha , 2008; Jung and Kim , 2009; Lin et al , 2009]. Through analysis of the synoptic settings from both observational data and numerical modeling, these studies revealed the physical processes that favor the ISE, consequently providing valuable information for a better understanding of the formation of ISEs and improving their operational forecasts.…”

Section: Introductionmentioning

confidence: 99%

Spatial‐temporal features of intense snowfall events in China and their possible change

et al. 2010

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[1] The statistical spatial-temporal features of the intense snowfall event (ISE) in China are investigated over the period of 1962-2000. The results indicate that eastern China, northern Xinjiang, the eastern Tibetan plateau, and northeastern China are four key regions for the ISE, with more frequency and strong variability. Annual cycle analysis shows the ISE exhibits a unimodal distribution with maximum frequency at winter months for eastern China, a bimodal distribution with maximum frequency at early winter and spring months for northern Xinjiang and northeastern China, and a bimodal distribution with maximum frequency at autumn and spring months for the eastern Tibetan plateau. Linear trend analysis indicates that in the last 39 years, the ISE exhibits a decreasing trend for eastern China and an increasing trend for northern Xinjiang and the eastern Tibetan plateau. The linear trend of the ISE is weak over northeastern China. Based on the simulations of the most recent and comprehensive climate models in the 20th century run, the performance of the current climate models in simulating the Chinese ISE is investigated. The results indicate that, of the 20 models, there are four models that can reasonably reproduce the spatial-temporal features of the Chinese ISE. Based on these four models' simulation for the 21st century under A1B and A2 scenarios, the future variability of the Chinese ISE is projected. It is found that global warming will cause the ISE frequency over southern China to decrease, while the ISE over northern China will initially increase and then decrease.

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Section: Introductionmentioning

confidence: 99%

Spatial‐temporal features of intense snowfall events in China and their possible change

et al. 2010

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“…There are a great number of works on the variations of different types of snowfall in NEC and the associated physical processes. Due to the limited availability of in situ observations in the early decades, snowfall research mainly focused on case studies [2][3][4][5][6][7]. However, as the spatial and temporal coverage of observations has increased in recent decades, many studies have investigated the long-term trends and interannual and decadal variations of different types of snowfall over NEC [8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Comparison of the Causes of High-Frequency Heavy and Light Snowfall on Interannual Timescales over Northeast China

Wang

Fan

2020

Atmosphere

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This study investigates and compares the reasons for high-frequency heavy and light snowfall in winter on interannual timescales over northeast China (NEC) during 1961–2017. Results indicate that the frequency and its variability are strong over southeastern NEC for heavy snowfall but over northern NEC for light snowfall. Analysis of the annual cycle shows that the maximum frequency of heavy snowfall occurs in November and March due to more warm–wet air masses and increased atmospheric instability, and that of light snowfall occurs in December–January due to drier conditions and increased atmospheric stability. The frequency of heavy snowfall exhibits an increasing trend which partly results from the warming trend in NEC, while that of light snowfall shows a decreasing trend. High-frequency heavy snowfall is associated with a positive North Atlantic Oscillation (NAO), warmer regional air temperatures, an increased water vapor budget associated with an anomalous anticyclone occupying the Kuril Islands, and relatively unstable atmospheric layers. High-frequency light snowfall is associated with a strengthened East Asian winter monsoon, colder regional air temperatures, a decreased water vapor budget, and relatively stable atmospheric layers. High-frequency heavy and light snowfall are both related to eastward-propagating quasi-stationary waves over Eurasia, but with different features. The waves of the former are located in midlatitude Eurasia and related to the positive phase of the NAO. The waves of the latter exhibit two pathways, located in midlatitude and northern Eurasia, respectively. The northern one can be partially attributed to a weak polar vortex. In addition, higher sea surface temperatures of the Kuroshio Extension may contribute to high-frequency heavy snowfall.

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“…The anomalous atmospheric circulation and associated influential factors (e.g., water vapor, cold advection, regional convection, topography) of ISEs in different regions of China have been studied [3,[19][20][21][22][23][24][25][26][27][28][29][30]. It has been learnt that most of the ISEs in China are closely associated with an interaction between southerly water vapor transport (WVT) and northerly cold advection [3,22].…”

Section: Introductionmentioning

confidence: 99%

Different Roles of Water Vapor Transport and Cold Advection in the Intensive Snowfall Events over North China and the Yangtze River Valley

Xie

Sun

2019

Atmosphere

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Intensive snowfall events (ISEs) have a profound impact on the society and economy in China during winter. Considering that the interaction between northerly cold advection and southerly water vapor transport (WVT) is generally an essential condition for the occurrence of ISEs in eastern China, this study investigates the different roles of anomalous southerly WVT and northerly cold advection during the ISEs in the North China (NC) and Yangtze River valley (YRV) regions based on a composite analysis of seventy ISE cases in NC and forty ISE cases in the YRV region from 1961 to 2014. The results indicate that the ISEs in NC are mainly associated with a significant pre-conditioning of water vapor over NC induced by southerly WVT anomalies over eastern China, whereas the ISEs in the YRV region are mainly associated with a strengthened Siberian High (SH) and strong northerly cold advection invading the YRV region. These results suggest a dominant role of anomalous southerly WVT in triggering the ISEs in NC and a dominant role of northerly cold advection in triggering the ISEs in the YRV region. The different roles of anomalous southerly WVT and northerly cold advection in the ISEs over the NC and YRV regions are largely attributed to the different winter climate in the NC and YRV regions—during winter, the NC (YRV) region is dominated by cold and dry (relatively warm and moist) air flow and hence southerly WVT (northerly cold advection) is the key factor for triggering the ISEs in NC (the YRV region).

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A study of the microphysical processes in a numerically simulated heavy snowfall event in North China: the sensitivity of different snow intercept parameters

Cited by 5 publications

References 20 publications

Spatial‐temporal features of intense snowfall events in China and their possible change

Spatial‐temporal features of intense snowfall events in China and their possible change

Comparison of the Causes of High-Frequency Heavy and Light Snowfall on Interannual Timescales over Northeast China

Different Roles of Water Vapor Transport and Cold Advection in the Intensive Snowfall Events over North China and the Yangtze River Valley

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