Article Contents

CHARACTERISTICS OF THE MERIDIONALLY ORIENTED SHEAR LINES OVER THE TIBETAN PLATEAU AND ITS RELATIONSHIP WITH RAINSTORMS IN THE BOREAL SUMMER HALF-YEAR

Funding:

National Key R&D Program of China 2018YFC1507804

National Natural Science Foundation of China 91937301

National Natural Science Foundation of China 41775048

National Natural Science Foundation of China 91637105

Second Tibetan Plateau Scientific Expedition and Research (STEP) Program 2019QZKK0105


doi: 10.16555/j.1006-8775.2020.009

  • In this paper, European Center for Medium-Range Weather Forecasts (ECMWF) Reanalysis-Interim (ERA-Interim) data and daily precipitation data in China from May to October during 1981-2016 are used to study the climatic characteristics of the meridionally oriented shear lines (MSLs) over the Tibetan Plateau (TP). The relationship between the MSL and rainstorms in the eastern TP and neighboring areas of the TP during the boreal summer half-year is also investigated. An objective method, which uses a combination of three parameters, i.e. the zonal shear of the meridional wind, the relative vorticity and the zero line of meridional wind, is adopted to identify the shear line. The results show that there are two high-occurrence centers of MSL. One is over the central TP (near 90°E) and the other is over the steep slope area of the eastern TP. Fewer MSLs are found along the Yarlung Zangbo River over the western TP and the southern Tibet. There are averagely 42.2 MSL days in each boreal summer half-year. The number of MSL days reaches the maximum of 62 in 2014 and the minimum of 22 in 2006. July and October witness the maximum of 10.2 MSL days/ year and the minimum of 4.2 MSL days/year, respectively. The annual number of the MSL days shows periodicities of 2-4 and 4-6 years, which is quite similar to those of the MSL rainstorm days. In the neighboring areas of the TP, nearly 56% of the MSLs lead to rainstorms, and nearly 40% of rainstorms are caused by the MSLs, indicating a close relationship between the MSLs and rainstorms in this region.
  • 加载中
  • Figure 1.  Examples of (a) an MSL day without rainstorm (May 5, 2013) and (b) an MSL rainstorm day (May 25, 2013). The blue line indicates the objectively identified MSL; the orange border encircles the main body of the TP; the black wind barbs indicate the 500 hPa wind; the green plus signs indicate daily precipitation < 25 mm; the green dots indicate daily precipitation between 25 and 50 mm; and the red triangles indicate daily precipitation ≥ 50 mm.

    Figure 2.  Cumulative frequency distribution of the MSL from 1981 to 2016. The thick black line indicates the axis of average high-occurrence frequency (Unit: 103).

    Figure 3.  Monthly cumulative frequency distribution of the MSL from 1981 to 2016. (a) May, (b) June, (c) July, (d) August, (e) September, and (f) October.

    Figure 4.  Daily variation curves of the number of (a) MSL day, (b) rainstorm day in the vicinity of the TP and (c) MSL rainstorm day during May-October from 1981 to 2016. The dotted line is the average number of days, and the real line is the trend line.

    Figure 5.  Morlet wavelet power spectrum of the number of (a) MSL day, (b) rainstorm day, and (c) MSL rainstorm day during May-October from 1981 to 2016.

    Figure 6.  Monthly variation of the number of (a) MSL day, (b) rainstorm day and (c) MSL rainstorm day during May-October from 1981 to 2016.

    Table 1.  Coefficient of MSL day and rainstorm day.

    May Jun Jul Aug Sep Oct Main flood season (JJA) Boreal summer half-year
    Coefficient 0.354 0.076 0.327 0.628 0.098 0.178 0.305 0.194
    DownLoad: CSV

    Table 2.  Characteristic comparison between the MSL and the TSL.

    MSL TSL
    Annual average days of shear line 42.2/year 65.3/year
    The most-active month July June
    Periodicity 2-4 years and 4-6 years 2-4 years, 4-6years and 4 years
    Major impact areas the neighbouring area of the TP the main body of the TP
    Annual growth rate 0.199/year 0.024/year
    Annual average days of shear line rainstorm 23.8/year 33.1/year
    Ratio of shear line rainstorm 56% 50.7%
    DownLoad: CSV
  • [1] WU G X, LIU Y M, ZHANG Q, et al.The influence of mechanical and thermal forcing by the Tibetan Plateau on Asian climate[J]. J Hydrometeorol, 2007, 8(4): 770-789, https://doi.org/10.1175/JHM609.1.
    [2] ZHAO P, XU X D, CHEN F, et al.The third atmospheric scientific experiment for understanding the earth-atmosphere coupled system over the Tibetan Plateau and its effects[J]. Bull Amer Meteor Soc, 2018, 99(4): 757-776, https://doi.org/10.1175/BAMS-D-16-0050.1.
    [3] YAMADA H, UYEDA H.Transition of the rainfall characteristics related to the moistening of the land surface over the central Tibetan Plateau during the summer of 1998 [J]. Mon Wea Rev, 2006, 134(11): 3230-3247, https://doi.org/10.1175/MWR3235.1.
    [4] WU G X, ZHANG Y H.Tibetan Plateau forcing and the timing of the monsoon onset over south Asia and the south China Sea[J]. Mon Wea Rev, 1998, 126(4): 913-927, https://doi.org/10.1175/1520-0493(1998)126 < 0913: TPFATT > 2.0.CO; 2. doi:
    [5] CHEN J H, WU X Q, YIN Y, et al.Characteristics of heat sources and clouds over eastern China and the Tibetan Plateau in boreal summer[J]. J Climate, 2015, 28(18): 7279-7296, https://doi.org/10.1175/JCLI-D-14-00859.1.
    [6] XU W X, ZIPSER E J Diurnal variations of precipitation, deep convection, and lightning over and east of the eastern Tibetan Plateau[J]. J Climate, 2011, 24(2): 448-465, https://doi.org/10.1175/2010JCLI3719.1.
    [7] LI Y D, WANG Y, YANG S, et al.Characteristics of summer convective systems initiated over the Tibetan Plateau.Part I: origin, track, development, and precipitation[J]. J Appl Meteor Climatol, 2008, 47(10): 2679-2695, https://doi.org/10.1175/2008jamc1695.1.
    [8] JIANG X W, TING M F.A dipole pattern of summertime rainfall across the Indian subcontinent and the Tibetan Plateau[J]. J Climate, 2017, 30(23): 9607-9620, https://doi.org/10.1175/JCLI-D-16-0914.1.
    [9] JIANG X W, LI Y Q, YANG S, et al.Interannual variation of summer atmospheric heat source over the Tibetan Plateau and the role of convection around the western Maritime Continent[J]. J Climate, 2016, 29(1): 121-138, https://doi.org/10.1175/JCLI-D-15-0181.1.
    [10] BAO Q, YANG J, LIU Y M, et al.Roles of anomalous Tibetan Plateau warming on the severe 2008 winter storm in central-southern China[J]. Mon Wea Rev, 2010, 138 (6): 2375-2384, https://doi.org/10.1175/2009MWR2950.1.
    [11] WANG J.Characteristics and enlightenment of 2016 Changjiang River flood[J]. Yangtze River, 2017, 48(4): 54-57 (in Chinese).
    [12] LIANG Yu-lian, YAN Xiao-dong, HUANG Li, et al.Prediction and uncertainty of climate change in china during 21st century under RCPS[J]. J Trop Meteor, 2018, 24(1): 102-110, https://doi.org/10.16555/j.1006-8775.2018.01.010.
    [13] PENG X, CHENG L.A case numerical study on the evolution of the plateau-east-side low vortex and shear line, Part I: analysis and diagnosis[J]. J Lanzhou Univ (Nat Sci Edition), 1992, 28(2): 163-168 (in Chinese).
    [14] XIA Yu, CHEN Jing, ZHI Xie-fei, et al.Topography-dependent horizontal localization scale scheme in GRAPES-meso hybrid EN-3DVAR assimilation system [J]. J Trop Meteor, 2019, 25(2): 245-256, https://doi.org/10.16555/j.1006-8775.2019.02.010.
    [15] ZHANG X L, CHENG L S.Dynamic diagnoses of the genesis and development for mesoscale shear line during "96.1"snowstorm, Ⅱ: diagnoses of divergence and its variability [J]. Plateau Meteor, 2000, 19(4): 459-466 (in Chinese).
    [16] FU Qiao, LIANG Xu-dong, ZHANG Qing-hong, et al.Possible contribution of a tropical cyclone to short-term climate anomalies in east Asia via snow cover on the Tibetan plateau[J]. J Trop Meteor, 2017, 23(4):462-470, https://doi.org/10.16555/j.1006-8775.2017.04.011.
    [17] ZHUO Ga.Analysis on the heavy rainfall and drought and the synoptic system over middle reaches of the Brahmaputra River[J]. Tibet Sci Technol, 2006, 13(2): 29-35 (in Chinese).
    [18] XU Guo-chang, ZHANG Zhi-ying.The effect of Qinghai-Xizang Plateau on the formation of dry climate over the northwest China[J]. Plateau Meteor, 1983, 2(2): 9-16 (in Chinese).
    [19] YU Shu-hua, GAO Wen-liang, GU Qing-yuan.The middle-upper circulation analyses of the Plateau Vortex moving out of Plateau and influencing flood in east China in recent years[J]. Plateau Meteor, 2007, 26(3): 466-475 (in Chinese), https://doi.org/10.1002/jrs.1570.
    [20] YU Shu-hua, HE Gguang-bi, TENG Jia-mo.The numerical experiments of influence of shear line over Qinghai-Xizang Plateau on a sharp heavy rain in west Sichuan basin[J]. Plateau Meteor, 1997, 16(3): 306-311 (in Chinese).
    [21] HE Guang-bi, GAO Wen-liang, TU Ni-ni.The observation analysis of shear line and low vortex over the Tibetan Plateau in summer from 2000 to 2007[J]. Plateau Meteor, 2009, 28(3): 549-555(in Chinese), https://doi.org/10.1016/S1003-6326(09)60084-4.
    [22] LI Y Q.The PBL Wind field at the eastern edge of the Tibetan Plateau and its relations with heavy rain-flood of the Yangtze River in 1998[J]. Sci Atmos Sin, 2000, 24 (5): 641-648 (in Chinese).
    [23] YU S H.An analysis of impact of the heavy rain in upper reaches of the Yangtze River on the flood peak of the river in 1998[J]. Meteorol, 2000, 26(1): 56-58 (in Chinese).
    [24] YANG K M, BI B G, LI Y A, et al.On flood-causing torrential rainfall in the upstream district of Yangtze River in 1998[J]. Meteor Mon, 2001, 27(8): 9-14 (in Chinese).
    [25] TAO S Y, LUO S W, ZHANG H C.The Qinghai-Xizang Plateau meteorological science experiment and its observation system from May to August in 1979[M]//Proceedings of International Symposium on the Qinghai-Xizang Plateau and Mountain Meteorology, XU Yi-yang (ed), Boston: Springer, 1986: 3-13.
    [26] QIAO Q M, ZHANG Y G.Synoptic Meteorology on the Qinghai-Tibet Plateau[M]. Beijing: Meteorological Press, 1994: 102-116.
    [27] ZHU Q G, LIN J R, SHOU S W.Principles and Methods of Synoptic Science[M]. Beijing: Meteorological Press, 2000: 368-370.
    [28] Meteorological Science Study Group in Lhasa on the Qinghai-Tibet Plateau.Vortex Shear Line Study at 500hPa Over the Qinghai-Tibet Plateau in Summer[M]. Beijing: Science Press, 1981.
    [29] YAO X P, SUN J Y, KANG L, et al.Advances on research of shear convergence line over Qinghai-Xizang Plateau[J]. Plateau Meteor, 2014, 33(1): 294-300 (in Chinese).
    [30] YU S H, GAO W L, PENG J.Statistical analysis of shear line activity in QXP and its influence on rainfall in China in recent 13 years[J]. Plateau Meteor, 2013, 32(6): 1527-1537 (in Chinese).
    [31] HE G B, ZENG B, YU S H.Analysis of durative rainstorm characteristics occurred in the ambient area of Qinghai-Xizang plateau[J]. Plateau Meteor, 2016, 35(4): 865-874 (in Chinese).
    [32] SHI R, HE G B.Contrast analysis on background circulation of plateau shear line moving out and not moving out of the Tibetan Plateau[J]. Plateau Meteor, 2011, 30(6): 1453-1461(in Chinese), https://doi.org/10.1016/B978-0-444-53599-3.10005-8.
    [33] LI W J, LUO S W.A numerical experiment of the effect of Tibetan Plateau on a synoptic system in its neighbourhood[J]. Plateau Meteor, 1986, 5(3): 245-255 (in Chinese).
    [34] JIAO MY, LI C, LI Y.Mesoscale analyses of a Sichuan heavy rainfall[J]. J Appl Meteor Sci, 2005, 16(5): 699-704 (in Chinese).
    [35] ZHAO Y.A study on the heavy-rain-producing mesoscale convective system associated with diurnal variation of radiation and topography in the eastern slope of the western Sichuan Plateau[J]. Meteor Atmos Phys, 2015, 127(2): 123-146, https://doi.org/10.1007/s00703-014-0356-y.
    [36] ZHANG X, YAO X P, MA J L, et al.Climatology of transverse shear lines related to heavy rainfall over the Tibetan Plateau during boreal summer[J]. J Meteor Res, 2016, 30(6): 915-926, https://doi.org/10.1007/s13351-016-6952-7.
    [37] DEE D, UPPALA S M, SIMMONS A J, et al.The ERA-interim reanalysis: configuration and performance of the data assimilation system[J]. Quart J Roy Meteor Soc, 2011, 137(656): 553-597, https://doi.org/10.1002/qj.828.
    [38] WANG Li-juan.Discussion on trough line and shear line in"Synoptic Meteorological Analysis"[J]. Meteor Educ Technol, 2007, 30(3): 10-12 (in Chinese).
    [39] YU S H, GAO W L, PENG J.Statistical analysis on influence of Qinghai-Xizang Plateau vortex activity on precipitation in China[J]. Plateau Meteor, 2012, 31(3): 592-604 (in Chinese), https://doi.org/10.1007/s11783-011-0280-z.
    [40] ZHANG S L, TAO S Y.The influences of Tibetan Plateau on weather anomalies over Changjiang River in 1998[J]. Acta Meteor Sin, 2002, 60(4): 442-452 (in Chinese).
    [41] DAI X Y.A study on the relationship between the trajectories of mesoscale convective system over the Tibetan Plateau and intensive precipitation in the Yangtze River basin[D]. Shanghai: East China Normal University, 2005.
    [42] XU X D, CHEN L S.Advances of the study on Tibetan Plateau experiment of atmospheric sciences[J]. J Appl Meteor Sci, 2006, 17(6): 756-772 (in Chinese).
    [43] WANG C, YANG K, LI Y, et al.Impacts of spatiotemporal anomalies of Tibetan Plateau snow cover on summer precipitation in eastern China[J]. J Climate, 2017, 30(3): 885-903, https://doi.org/10.1175/JCLI-D-16-0041.1.

Get Citation+

YAO Xiu-ping, ZHANG Xia, MA Jia-li. CHARACTERISTICS OF THE MERIDIONALLY ORIENTED SHEAR LINES OVER THE TIBETAN PLATEAU AND ITS RELATIONSHIP WITH RAINSTORMS IN THE BOREAL SUMMER HALF-YEAR [J]. Journal of Tropical Meteorology, 2020, 26(1): 93-102, https://doi.org/10.16555/j.1006-8775.2020.009
YAO Xiu-ping, ZHANG Xia, MA Jia-li. CHARACTERISTICS OF THE MERIDIONALLY ORIENTED SHEAR LINES OVER THE TIBETAN PLATEAU AND ITS RELATIONSHIP WITH RAINSTORMS IN THE BOREAL SUMMER HALF-YEAR [J]. Journal of Tropical Meteorology, 2020, 26(1): 93-102, https://doi.org/10.16555/j.1006-8775.2020.009
Export:  

Share Article

Manuscript History

Manuscript received: 24 April 2019
Manuscript revised: 15 December 2019
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

CHARACTERISTICS OF THE MERIDIONALLY ORIENTED SHEAR LINES OVER THE TIBETAN PLATEAU AND ITS RELATIONSHIP WITH RAINSTORMS IN THE BOREAL SUMMER HALF-YEAR

doi: 10.16555/j.1006-8775.2020.009
Funding:

National Key R&D Program of China 2018YFC1507804

National Natural Science Foundation of China 91937301

National Natural Science Foundation of China 41775048

National Natural Science Foundation of China 91637105

Second Tibetan Plateau Scientific Expedition and Research (STEP) Program 2019QZKK0105

Abstract: In this paper, European Center for Medium-Range Weather Forecasts (ECMWF) Reanalysis-Interim (ERA-Interim) data and daily precipitation data in China from May to October during 1981-2016 are used to study the climatic characteristics of the meridionally oriented shear lines (MSLs) over the Tibetan Plateau (TP). The relationship between the MSL and rainstorms in the eastern TP and neighboring areas of the TP during the boreal summer half-year is also investigated. An objective method, which uses a combination of three parameters, i.e. the zonal shear of the meridional wind, the relative vorticity and the zero line of meridional wind, is adopted to identify the shear line. The results show that there are two high-occurrence centers of MSL. One is over the central TP (near 90°E) and the other is over the steep slope area of the eastern TP. Fewer MSLs are found along the Yarlung Zangbo River over the western TP and the southern Tibet. There are averagely 42.2 MSL days in each boreal summer half-year. The number of MSL days reaches the maximum of 62 in 2014 and the minimum of 22 in 2006. July and October witness the maximum of 10.2 MSL days/ year and the minimum of 4.2 MSL days/year, respectively. The annual number of the MSL days shows periodicities of 2-4 and 4-6 years, which is quite similar to those of the MSL rainstorm days. In the neighboring areas of the TP, nearly 56% of the MSLs lead to rainstorms, and nearly 40% of rainstorms are caused by the MSLs, indicating a close relationship between the MSLs and rainstorms in this region.

YAO Xiu-ping, ZHANG Xia, MA Jia-li. CHARACTERISTICS OF THE MERIDIONALLY ORIENTED SHEAR LINES OVER THE TIBETAN PLATEAU AND ITS RELATIONSHIP WITH RAINSTORMS IN THE BOREAL SUMMER HALF-YEAR [J]. Journal of Tropical Meteorology, 2020, 26(1): 93-102, https://doi.org/10.16555/j.1006-8775.2020.009
Citation: YAO Xiu-ping, ZHANG Xia, MA Jia-li. CHARACTERISTICS OF THE MERIDIONALLY ORIENTED SHEAR LINES OVER THE TIBETAN PLATEAU AND ITS RELATIONSHIP WITH RAINSTORMS IN THE BOREAL SUMMER HALF-YEAR [J]. Journal of Tropical Meteorology, 2020, 26(1): 93-102, https://doi.org/10.16555/j.1006-8775.2020.009
  • A large number of studies have shown that the Tibetan Plateau (TP), with its unique orography, exerts significant influence on the climate of Asia and even on the global climate. The air column over the TP descends in winter and ascends in summer, which regulates the Asian monsoon surface flow. The local heating of the TP intensifies the monsoon in East Asia and the dry climate in Middle Asia [1]. Moreover, the thermodynamic forcing over the TP affects the local atmospheric water, the downstream precipitation and haze events. It also modifies extratropical atmospheric teleconnections, such as the Asian-Pacific Oscillation, subtropical anticyclones over the North Pacific and Atlantic as well as the temperature and precipitation in Africa, Asia, and North America [2]. Besides, the TP surface has a significant impact on the modification of the characteristics of monsoon rainfall [3]. The Bay of Bengal monsoon is directly linked to the thermal and mechanical forcing of the TP [4]. In addition, there is a strong relationship between local climate and downstream regions of the TP. The cloud water path and deep convection over eastern China positively correlate with the apparent heat source and moisture sink over the eastern TP, respectively. Consequently, the moisture produced by the evaporation of cloud water over the TP is transported downstream and facilitates the convection development over eastern China [5]. Diurnal cycles of rainfall and precipitation feature apparent eastward phase propagation from the eastern TP for approximately 1000 km [6]. Statistics show that the convections occurred over the TP contribute over 60% of the total precipitation over the central-eastern area of the TP [7]. Recent studies show that the Asian summer monsoon also exerts a considerable impact on the climate over the TP. The Asian summer monsoon and the climate of the TP should be considered as an interactive system.

    Furthermore, anomalous atmospheric activities over the TP often result in abnormal weather over the downstream regions. For example, simulations show that the anomalous TP warming produces weather conditions, such as intensified lower-level South Asian trough and low-level jet, which is favourable for the freezing rain event in south-central China in 2008 [10]. The heavier snow cover in the southern TP leads to more rainfall in the Yangtze River Basin and northeastern China and less precipitation in southern China, whereas the heavier snow cover in the northern TP results in heavier rainfall in southeastern and northern China and weakened precipitation in the Yangtze River Basin [11].

    Therefore, it is of great significance to study the climate of the TP and the weather systems that affect it. Among these weather systems, shear line is one of the most important synoptic systems that cause rain and snow in the TP. Its eastward movement [12-17] influences the eastern plateau under favourable circulation [18-19]. Moreover, some researches indicate that the meridionally oriented shear line (MSL) activity has a more severe impact on floods in southwest China [20]. Some other studies suggest that shear line is the most active and most frequently observed low-pressure system in the TP [21]. Many studies reveal a close relationship between the MSL activity and continuous rainstorms over the upper reaches of the Yangtze River from June to August in 1998 [22-24].

    The shear line over the TP (TPSL) is described and defined in various ways. Some researchers name the TPSL as a transverse shear line (TSL) or an MSL based on the genesis location [25-26]. Others use different names (i.e., warm shear lines, baroclinic shear lines and cold shear lines) based on their thermodynamic properties [27]. The classic definition is given by the Tibetan Plateau Meteorological Science Study Group in Lhasa (1981) as follows [28]. According to the shear line genesis location, the east-west oriented TPSL is defined as the TSL, whereas the north-south oriented shear line over the steep slope area to the east of the TP and the northeastsouthwest one over the central TP are defined as the MSL. According to the statistics of shear line activity, the TSL appears almost twice as frequently as that of the MSL. 90% of the TSL rain belts and 89% of the MSL rain belts appear to the south and east of the shear line, respectively.

    Yao et al. [29] reviewed the research progress on the TPSL. They noted that previous researches cover a lot of perspectives including climatic features, dynamic features, thermodynamic features, cloud characteristics, genesis location and sustaining mechanisms of the shear line and its interaction with other weather systems (such as the plateau vortex). Yu et al. [30] explored the TPSL activity and its influence on rainfall in China from 1998 to 2013 using daily rainfall data, 500 hPa upper-air charts, and the TP vortex and shear line yearbooks from 1998 to 2010. It is found that most of the TPSLs occur mainly over the eastern TP and belong to the TSL type during the whole year. Also, it is reported that the longer the TPSL lasts in summer, the wider the spatial coverage and the stronger the intensity of precipitation. The lifetime of the TPSL is approximately between 12 and 24 hr (never longer than 60 hr). TPSLs that last over 36 hr not only cause heavy rain in Gansu Province, Yunnan Province and the Sichuan Basin, but also influence the weather in central and north China. In addition, the joint influence of the plateau vortex and the southwest vortex accompanied by the TPSL on the precipitation over the southeastern area is investigated. Furthermore, the steep terrain of the TP and the sufficient moisture transported from the Bay of Bengal might be dominant factors for persistent rainstorms in northwest Yunnan [31]. Based on the analysis of the TPSLs in summer from 2000 to 2004, Shi and He [32] find that the strong upper-level jet (500 hPa) is beneficial to the eastward movement of TPSL, and the meridional circulation associated with the East Asian Trough along 32°-49°N helps the shear line move out of the TP. Numerical experiments signify that the TPSL movement may intensify rainstorms in the western Sichuan Basin [33-35].

    Climatic characteristics of the TSL and its relationship with rainstorms over the TP are studied by Zhang et al. [36] with the shear-line objective identification methods. They believe that 40% of the heavy rainfall on the TP is caused by the TSL, and the two are closely related. Although many statistical studies have been carried out to explore the characteristics of TPSL activities and their influences on precipitation, there are still some problems to solve for improvement: (1) the data are not continuous, and the observation length is short; (2) the sounding data could only be obtained twice a day, and the spatial resolution is low as the distance between most of neighbouring stations exceeds hundreds of kilometres; (3) there is no agreed shear line identification criterion, and most of the methods tend to be subjective; and (4) more studies focus on the TSL than the MSL, but the latter deserves equal attention.

    In order to fully understand the characteristics of the MSL on the TP and its role in the weather process, a comparative study of it with the TSL is conducted. Also, three parameters including the zonal shear of the meridional wind, the relative vorticity and the zero line of meridional wind are employed to identify the MSL. And new variables such as the MSL day, the rainstorm day in the vicinity of the TP and the MSL rainstorm day are determined. Moreover, the long-term ERA-Interim reanalysis data and the daily rainfall observation data in China (1981-2016) in the boreal summer half-year are used to research the temporal and spatial features of the MSL and the relationship between the MSL and rainstorms over the TP and surrounding areas (all study periods given in this study refer to the boreal summer half-year).

  • The ERA-Interim 6-hourly wind reanalysis data at 500 hPa with a 1° × 1° resolution from May to October during 1981-2016 are used [37]. The gauge-based daily precipitation dataset (version 3.0) from 1200 UTC to 1200 UTC produced by the National Meteorological Information Centre of the China Meteorological Administration are also employed.

  • In this paper, the MSL is identified by a combination of three parameters: the zonal shear of the meridional wind, the relative vorticity and the zero line of meridional wind. The specific equations are as follows.

    $$ \left\{\begin{array}{l} \partial v / \partial x>0 \\ \zeta>0 \\ v=0 \end{array}\right. $$ (1)

    where v represents the meridional wind, $ \zeta$ is the relative vorticity $ \left(\zeta=\frac{\partial v}{\partial x}-\frac{\partial u}{\partial y}\right)$, and x(y) represents the zonal (meridional) coordinate.

    Given the spatial resolution and the study area, the identification of an MSL should meet the following conditions. Equation (1) is satisfied at each grid point. Meanwhile, the line connecting these grids crosses over 5 degrees along the y coordinate.

  • New variables are adopted for the statistical analysis.

    (i) Definition of an MSL day

    If an MSL occurs during any of the 4 observation in a day (i.e., 0000 UTC and 0600 UTC in the current day as well as 1200 UTC and 1800 UTC in the previous day), then this day is considered as an MSL day.

    (ii) Definitions of a rainstorm day in the vicinity of the TP

    The neighbouring area of the eastern TP is defined as the region of (103° E-110° E, 25° N-40° N) to the east of the TP. The region mainly includes east-central Sichuan Province, Chongqing Municipality, Guizhou Province, Ningxia Autonomous Region, South Shanxi Province, Inner Mongolia Autonomous Region and northeast Yunnan Province.

    If the 24-hr accumulated rainfall over 50 mm is observed by more than five stations in the neighbouring area of the TP in one day, then that day is identified as a rainstorm day in the vicinity of the TP.

    (iii) Definition of an MSL rainstorm day

    If a day is both an MSL day and a rainstorm day in the vicinity of the TP, and the rainstorm is close to the MSL (i.e., less than 5 degrees along the x axis), then the day is defined as an MSL rainstorm day.

  • The altitude of most areas to the west of 85°E in the TP is above 4000 m, and only 4% of the total ground stations locate in this area. Therefore, the statistics of MSL days and MSL rainstorm days refer to those in the area to the east of 85°E.

    Statistics show that due to the fast movement of MSLs over the TP, there are much fewer rainstorm days occurring in the TP than those in the neighbouring area of the TP. Over the last 36 years, the MSL-induced rainstorm days in the main body of the TP have been only 30 in total. While the corresponding number in the TP neighbouring area amounts to 885 days in total. This result suggests that most of the MSL rainstorm days take place in the neighbouring area of the TP (the rainstorm discussed in this study refers to the rainstorm in the neighbouring area of the TP).

  • The cumulative frequency distribution of the MSL from 1981 to 2016 is shown in Fig. 2.

    Figure 1.  Examples of (a) an MSL day without rainstorm (May 5, 2013) and (b) an MSL rainstorm day (May 25, 2013). The blue line indicates the objectively identified MSL; the orange border encircles the main body of the TP; the black wind barbs indicate the 500 hPa wind; the green plus signs indicate daily precipitation < 25 mm; the green dots indicate daily precipitation between 25 and 50 mm; and the red triangles indicate daily precipitation ≥ 50 mm.

    Figure 2.  Cumulative frequency distribution of the MSL from 1981 to 2016. The thick black line indicates the axis of average high-occurrence frequency (Unit: 103).

    It can be seen that there are two high-occurrence frequency centers of MSLs: one is located over the steep-slope area of the eastern TP (100° - 105° E, 27° - 37° N), and the other is over the central TP between northern Tibet and western Qinghai Province (86°-90°E, 30°-37° N). The frequency distribution of MSLs from the central TP to the eastern TP (90° - 103° E) shows a"high-low-high"pattern, which suggests that some of the MSLs generated over the central TP move eastward towards the eastern TP, while the others dissipate locally. There is a high-occurrence frequency value of above 1500 over the border region between the western Sichuan Plateau and Southeast Qinghai (100° E, 33° N), which is one of the source regions of the plateau vortex [19, 38]. This result reveals a close relationship between the plateau vortex and the MSL. The area with the low occurrence frequency of MSLs lies at 85°E to the west of the TP and southern Tibet.

    Monthly statistics show (Fig. 3) that the highest occurrence frequency of MSLs occurs in July, followed by June, August, May and October. For the high-occurrence frequency center of MSLs over the central TP, the frequency value increases from June to August and decreases during the three following months. While for the other high value center, its value reaches a similar peak value as that of the one over the central TP, and the meridional span peaks in July and then narrows in May and June. The occurrence frequency value in August is the lowest, but its corresponding meridional span with the frequency above 200 is similar to that in May and July. In September, this center splits into two high-value centers in the vicinity of Chengdu City.

    Figure 3.  Monthly cumulative frequency distribution of the MSL from 1981 to 2016. (a) May, (b) June, (c) July, (d) August, (e) September, and (f) October.

    The occurrence frequency value over 200 (90°-105°E) signifies that the MSL is active in the vast area of the central and northern Tibet and the western Sichuan Province in July and August. The high occurrence frequency centre of MSLs further locates to the north in May, June, September and October, compared with that in the midsummer. Meanwhile, no high occurrence frequency centre is observed over the western Sichuan Plateau during those four months.

  • The sum or difference of a variable's average and its standard deviation is taken as the threshold to determine the high-occurrence and low-occurrence year. We stipulate that when the amount of MSL days exceeds the sum of its average and the standard deviation, this year is considered to be a high-occurrence year for MSL days; when the amount is less than the difference, this year is considered to be a low-occurrence year. This method is also applied for rainstorm days and MSL rainstorm days.

    The interannual variation of MSL days from 1981 to 2016 is shown in Fig. 4a. The annual average number of MSL days is 42.2 in the study area (i.e., east of 85°E), which accounts for 23% of the total number of MSL days during the study period. In this study, the number of MSL days in high-occurrence year should exceed 50.3 and that in the low-occurrence year should be less than 34.1. It can be seen that 1998, 2014 and 2016 are three high-occurrence years with the maximum of 62 days observed in 2014. While the low-occurrence years are 1989, 1997, 2000, 2004 and 2006 with the minimum of 22 days in 2006.

    Figure 4.  Daily variation curves of the number of (a) MSL day, (b) rainstorm day in the vicinity of the TP and (c) MSL rainstorm day during May-October from 1981 to 2016. The dotted line is the average number of days, and the real line is the trend line.

    Further analysis shows that the number of MSL days has varied sharply since the 1980s, and the interannual variability has increased since the late 1990s. Both the highest - and lowest-occurrence years occur in the 21st century. It is noted that in the highest-occurrence years of 1998 and 2016, flood disasters happen along the Yangtze River. In addition, in the highest-occurrence year of 2014, the autumn rainfall in west China is abnormally heavy. Also, from September to October in 2014, the number of MSL days is the greatest compared with the corresponding periods in other years. The interannual trend of the vertical shear line occurrence days shows that in the past 36 years, the growth rate of MSL days has been 0.199/ year, showing an increasing trend with time.

    As for the number of rainstorm days, the average number is 59.6, featured with obvious interannual variability (Fig. 4b). Similarly, the number of rainstorm days exceeding 67.0 days corresponds to a high-occurrence year and the rainstorm days less than 52.2 days corresponds to a low-occurrence year. The high-occurrence years are 1983 and 1998 with the same maximum number of 78 days. The low-occurrence years are 1994, 1997, 2001, and 2006 and the lowest number of 43 days is seen in 1997. The interannual variation shows an evident decreasing trend with a decline rate of -0.123/year. The decrease is more distinct (also with a smaller amplitude) in the 1980s and 1990s than in the 21st century.

    Figure 4c shows that there are 23.8 MSL rainstorm days in boreal summer half-year for the 36-year average. Accordingly, the year with over 29.5 MSL rainstorm days is defined as a high-occurrence year; and the year with MSL rainstorm days less than 18.1 is considered as a low-occurrence year. The high-occurrence years are 1990, 1998, and 2013 and the highest number of 40 days is in 1998. Meanwhile, the low-occurrence years are 1997 and 2006, with the minimum of 10 days in 2006. The interannual variation of MSL rainstorm days

    denotes that the amplitude of the MSL rainstorm days changes little from the 1980s to the mid-1990s. In the late 1990s, the amplitude reaches its maximum. After that, it decreases gradually to its average level. The above results indicate that the interannual variation of MSL rainstorm days is not significant (Fig. 4c).

    Figure 5 shows the three variables with significant periodic variation based on the Morlet wavelet power spectrum. In the past 36 years, the periodicity for the MSL days has been 2-4 years, and since the mid-1990s, the periodicity of 4-6 years has been also observed. Both of the above periodicities pass the 0.05 confidence test (Fig. 5a).

    Figure 5.  Morlet wavelet power spectrum of the number of (a) MSL day, (b) rainstorm day, and (c) MSL rainstorm day during May-October from 1981 to 2016.

    The rainstorm days also show a 2-4 years periodicity and a 4-6 years periodicity, and both periodicities pass the 0.05 confidence test (Fig. 5b). These periodicities are similar to those of the MSL days, but differ in occurrence time. The 2-4 years periodicity of the rainstorm days is first found in the late 1980s and lasts until 2010, and the 4-6 years periodicity is observed in the early 1980s through the mid-2000s.

    As for the MSL rainstorm days, the Morlet wavelet power spectrum is used. Both of the two periodicities of 2-4 and 4-6 years pass the 0.05 confidence test (Fig. 5c). The former periodicity started in the late 1980s and lasted until 2010, while the latter lasts from the mid-1990s until now. These statistical features are similar to those of the MSL days.

  • Figure 6a shows that the total number of MSL days varies in each month. In July, there are 10.2 MSL days/ year, where approximately 1 in every 3 days is an MSL day. The number of MSL days increases gradually from May to July and decreases from July to October. Thereby, October is the month with the lowest number of MSL days (4.2 days/year).

    Figure 6.  Monthly variation of the number of (a) MSL day, (b) rainstorm day and (c) MSL rainstorm day during May-October from 1981 to 2016.

    By analyzing the monthly-mean rainstorm days (Fig. 6b), it is found that the rainstorm day mainly occur during the main flood period from June to August (JJA), with a total of 3 months up to 1599 days, accounting for 75% of the total days in the boreal summer half year. Different from the findings of Zhang et al. [36], the rainstorm days are more concentrated in JJA than the TP rainstorm days. July is the month with the most rainstorm days not only in the neighbouring area of the TP (631 days) but also in the TP. In contrast, October is the month with the least number (61 days), accounting for only 2.8% of the total number in the boreal summer half year.

    Like the above two variables, the MSL rainstorm days show distinct monthly variations, with the maximum in July and the minimum in October (Fig. 6c). The number of MSL rainstorm days in JJA amounts to 670, accounting for 78% of the total number in the boreal summer half year.

  • Based on the above statistics, average numbers of MSL days, rainstorm days and MSL rainstorm days are 42.2 days / year, 59.6 days / year and 23.8 days / year, respectively. In terms of the climatology, the number of the three variables in turn accounts for 22.9%, 32.4% and 12.9% of the 184 total days, respectively.

    It can be concluded that the 36-year average number of MSL rainstorm day is 23.8, accounting for 56.4% of MSL days (42.2 days) and 39.9% of rainstorm day (59.6 days). The results reveal that about 56% of the MSLs can cause rainstorms, and approximately 40% of the rainstorms are induced by the MSLs.

    The correlation coefficient between the MSL days and rainstorm days in August is 0.628, which passes the 0.01 confidence test. The correlation coefficient in May is 0.354 and passes the 0.05 confidence test. In addition, the correlation coefficient in July and JJA is also high (see Table 1). The previous analysis shows that the high-occurrence years of MSL days correspond to those of rainstorm days (e.g., 1998). It is the same case with the low-occurrence years for the two variables (e. g., 1997 and 2006). These results indicate a close relationship between these two variables. Despite the complexity of the mechanisms of rainstorms, the MSL is clearly one of the most important influence systems.

    May Jun Jul Aug Sep Oct Main flood season (JJA) Boreal summer half-year
    Coefficient 0.354 0.076 0.327 0.628 0.098 0.178 0.305 0.194

    Table 1.  Coefficient of MSL day and rainstorm day.

  • Similarities and differences between the climatic characteristics of the TSL and the MSL are investigated using the same dataset (Table 2) as those in the study of TP TSLs by Zhang et al. [36].

    MSL TSL
    Annual average days of shear line 42.2/year 65.3/year
    The most-active month July June
    Periodicity 2-4 years and 4-6 years 2-4 years, 4-6years and 4 years
    Major impact areas the neighbouring area of the TP the main body of the TP
    Annual growth rate 0.199/year 0.024/year
    Annual average days of shear line rainstorm 23.8/year 33.1/year
    Ratio of shear line rainstorm 56% 50.7%

    Table 2.  Characteristic comparison between the MSL and the TSL.

    The annual average number of MSL days is 42.2, while that of the TSL is 65.3 and is 1.5 times of the MSL's. This result is consistent with a previous study, in which the number of TSLs is twice the number of MSL. Both of them are most active in midsummer (JJA). The difference is that the MSL mainly appears in July whereas the TSL in June.

    The Morlet wavelet analysis shows that they both change mainly with the periodicities of 2-4 years and 4-6 years. However, the change characteristics are different in different periods. For the TSL, a distinct cycle of 4-6 years in the 1980s, a cycle of 2-4 years in the late 1980s to 1990s and a quasi-4-year cycle after the late 1990s exist. While for the MSL, the periodicity of 2-4 years has changed to a cycle of 4-6 years since the mid-1990s. Under the background of climate warming, TSL days do not decrease significantly with time but fluctuate within a certain range, while MSL days increase with time with a growth rate of 0.199/year.

    The influence areas of the TSL and the MSL are different. The TSL is generally parallel to the TP topography, and it moves within the area from 30° N to 35° N. The TSL-induced rainstorm often appears over the TP, and only a few are found when the TSL moves eastward or southward to the southeast of the TP. The average number of TSL rainstorm days is 33.1, which is 50.7% of average MSL days (65.3 days). Additionally, over half of TSLs can lead to rainstorms over the TP.

    The MSL shows a quasi-north-south direction, and the two high-occurrence frequency centers of it are distributed in the middle of the TP and the steep slope area of the eastern TP. The average number of MSL rainstorm days is 23.8, accounting for 50.7% of the average number of MSL days (42.2 days). In the neighbouring area of the TP, nearly 56% of the MSLs result in rainstorms, indicating a close relationship between the MSL and the rainstorm in this region.

  • Based on statistical analysis of the MSL climatology and its relationship with rainstorms in the vicinity of the TP during the boreal summer half year in 1981-2016, the following conclusions are drawn.

    (1) There are two regions observed with the highest occurrence frequency of MSLs over the TP. One locates at the central TP (near 90° E) and the other sits at the steep slope area of the eastern TP. In contrast, the lowest frequency occurs in areas to the west of 85°E (i.e., west of the TP and the southern Tibet). Besides, the highest frequency occurs in July, while the lowest frequency occurs in October. And the center of high occurrence frequency over the deep slope area of the eastern TP reaches its peak in July, covering the widest meridional range. In July and August, the two high-frequency centers are seen in the western Sichuan Plateau and the north-central Tibetan Plateau, respectively.

    (2) The average annual number of MSL days is 42.2 with the highest frequency in July and the lowest in October. In the high-occurrence year of 2014 there are 62 MSL days, while in the low-occurrence year of 2006 there are only 22 MSL days. Since the 1990s, the fluctuation amplitude of the number of MSL days has increased and shown similar periodicity to the number of MSL rainstorm days: the cycle of 2-4 years exists during the whole study period and the cycle of 4-6 years has presented since the mid-1990s.

    (3) The MSL shows a close relationship with the rainstorm. The high-occurrence years of MSL days match well with those of the rainstorm days, and the case is the same with the low-occurrence years.

    (4) In the vicinity of the TP, approximately 56% of the MSLs can result in rainstorms, while 40% of rainstorms are generated by the MSLs.

    (5) Compared with the TSL, the average daily number of the MSL days is less, which is 2 / 3 of the TSL's. The two have some similarities and differences in terms of the active period, periodicity, influence area and multi-year variation trend. Moreover, the two are both closely related to the TP rainstorm and the rainstorm in the vicinity of TP.

    In addition, it is also noted that the highest-occurrence year for MSL days, i. e., 2014, is the same year when the autumn rain in West China is abnormally stronger. The relationship between the MSL and the autumn rain in west China has still not been indicated. Furthermore, with regard to the MSLs generating over the central TP or deep slope region of the eastern TP, some of them move off the TP and remain stationary over 105° - 110° E for days. This phenomenon brings continuous rainstorms to Sichuan Province, Shanxi Province, Yunnan Province, Guizhou Province and other regions. It is not yet known what mechanism drives them to move out of the TP, what is the impact of the terrain of the deep slope area in the eastern TP on the generation, movement and development of the MSL and what are the relationships of the MSL with the movement and intensity of the southwest vortex. All of the above questions require further investigation.

Reference (43)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return