# A Case Study of Mass Transport during the East-West Oscillation of the Asian Summer Monsoon Anticyclone

Authors: Jiali Luo; Jiayao Song; Hongying Tian; Lei Liu; Xinlei Liang
Journal: Advances in Meteorology
 (2017)

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## Abstract

We use ERA-Interim reanalysis, MLS observations, and a trajectory model to examine the chemical transport and tracers distribution in the Upper Troposphere and Lower Stratosphere (UTLS) associated with an east-west oscillation case of the anticyclone in 2016. The results show that the spatial distribution of water vapor (H2O) was more consistent with the location of the anticyclone than carbon monoxide (CO) at 100 hPa, and an independent relative high concentration center was only found in H2O field. At 215 hPa, although the anticyclone center also migrated from the Tibetan Mode (TM) to the Iranian Mode (IM), the relative high concentration centers of both tracers were always colocated with regions where upward motion was strong in the UTLS. When the anticyclone migrated from the TM, air within the anticyclone over Tibetan Plateau may transport both westward and eastward but was always within the UTLS. The relative high concentration of tropospheric tracers within the anticyclone in the IM was from the east and transported by the westward propagation of the anticyclone rather than being lifted from surface directly. Air within the relative high geopotential height centers over Western Pacific was partly from the main anticyclone and partly from lower levels.


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## Body

## 1. Introduction

The Asian summer monsoon is an important component of global climate system and also a significant system of global atmospheric circulation in boreal summer [1]. Given its impact on northern hemispheric weather and climate and its role in ocean-atmosphere interaction and Stratosphere-Troposphere Exchange (STE), studies focusing on the Asian summer monsoon have been widely investigated [2–15]. STE has a significant effect on transport across tropopause and spatial distribution of atmospheric component [16, 17]. The Asian summer monsoon anticyclone (South Asia High) is one of the dominant features of the Asian summer monsoon [1, 18–26]. It plays an important role in STE because of persistent deep convections and the impact on mass transport, especially on chemical distribution in the Upper Troposphere and Lower Stratosphere (UTLS) region [9, 19, 20, 27–29]. The Asian summer monsoon anticyclone is bounded by the westerly jet to the north and easterly jet to the south which leads to independent feature of air inside of the anticyclone [23, 24]. Surface pollution in Asia can be transported to stratosphere via the anticyclone [30, 31]. Previous studies have shown that there exists seasonal mean maximum (or minimum) of tropospheric tracers such as carbon monoxide (CO), HCN, and water vapor (H2O) (of stratospheric tracers such as O3) in the UTLS region during the Asian summer monsoon season [20, 23, 30–34].Although the Asian summer monsoon anticyclone is a very strong and steady circulation in the UTLS region, it also shows westward migration from Tibetan Plateau (TP) [35] and the anticyclone breaks off (every 10–20 days) several times, when it migrates westward [36] (we call it 10–20-day east-west oscillation in this study). Randel and Park [1] have shown that the monsoon circulation has active/break cycles, which is linked to the oscillation of deep convection with a timescale of 10–20 days. Zhang et al. [37] found that South Asia High (SAH) shows bimodality in the longitude location and is classified to Tibetan mode (centered at about 90°E) and Iranian mode (centered at about 60°E). The distribution of chemical constituents in the UTLS region is influenced by the bimodality [38, 39]. However, the STE variability during the east-west oscillation of the Asian summer monsoon anticyclone is still unknown. It is important to diagnose the air transport associated with the east-west oscillation of the anticyclone.There are also studies focused on the air transport details during the Asian summer monsoon season. Bergman et al. [40] pointed out that the lifted air caused by convections may go downward to lower troposphere again during monsoon season. The trajectory and WRF-Chem model output shows that tropospheric air which can be transported directly to stratosphere is mainly from TP. The orographic lifting of TP rather than convective transport contributes to the upward transport [41]. Garny and Randel [42] further indicated that air above 360 K isentropic surface is more likely to be confined inside of the anticyclone, while air below is difficult to access stratosphere. The relative importance of tropospheric upward lifting and confinement of the anticyclone in STE during the anticyclone oscillation needs to be studied.The goal of this work is to diagnose the mass transport when the Asian summer monsoon anticyclone oscillates from Tibetan mode to Iranian mode. Chemical species mixing ratio from satellite data, meteorological field from reanalysis data, and a trajectory model are combined to address the following questions: (1) How does the east-west oscillation of the Asian summer monsoon anticyclone influence chemical distribution in the UTLS? (2) Is the air within the anticyclone in different phases has the same sources? (3) How does air within the anticyclone transport when the anticyclone migrates from Tibetan mode to Iranian mode?We choose CO and H2O as tropospheric tracers for transport diagnosis. CO is a good tracer of transport in the troposphere and lower stratosphere [43], since it has a photochemical lifetime of 2-3 months [44]. Relatively high H2O mixing ratio in upper troposphere and near tropopause has been observed within the Asian summer monsoon anticyclone [23, 45]. Here we analyze space-time variability of CO and H2O in the UTLS to investigate the mass transport that is related to the anticyclone oscillation.


## 2. Data and Model

### 2.1. Satellite Data

The Microwave Limb Sounder (MLS) instrument is on the NASA EOS Aura satellite mission launched on 15 July 2004 [46]. Here we use MLS Version 4, Level 2 CO, and H2O data at both 100 hPa and 215 hPa. The vertical resolution of CO retrievals at 100 hPa is 4.9 km and the precision is ~14 ppbv with a systematic uncertainty of ~20 ppbv. At 215 hPa, they are 5.4 km, ~19 ppbv, and ~30 ppbv. The H2O retrieval has a vertical resolution of 3 km at 100 hPa and 1.6 km at 215 hPa. The precision and accuracy are ~15% and ~8% at 100 hPa, as well as ~40% and ~25% at 215 hPa, respectively [47]. The horizontal resolution of MLS data is ~6 km across the track and ~300 km along the track. We construct gridded data on 5-degree latitude × 5-degree longitude to make the daily maps.


### 2.2. Meteorology Data

We use 6-hourly geopotential height (GPH), horizontal wind field (u and v), and vertical velocity (ω) from ERA-Interim reanalysis in August 2016 in this work to diagnose the dynamical variability of Asian summer monsoon anticyclone and tropospheric upward motion. The horizontal resolution is 1° on 37 pressure levels (from 1000 hPa to 1 hPa).


### 2.3. Trajectory Model

We use Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to track both forward and backward trajectories in this study. The HYSPLIT model assumes a three-dimensional particle distribution [48–50]. The mean particle trajectory is the integration of the particle position vector in space and time [51]. It has been widely used in air transport during Asian summer monsoon season [41, 52]. Given that analysis based on individual trajectories may have uncertainties, we used an ensemble approach to do the analysis. The ensemble approach starts multiple trajectories from a selected starting location. It computes trajectories for 27 starting locations for each specified location. The 27 trajectories are on three vertical levels and there are nine locations for each level. Each trajectory in the approach is calculated by offsetting the meteorological data by a fixed grid factor. The 27 trajectories are used for all possible offsets in three directions [53].


## 2.1. Satellite Data

The Microwave Limb Sounder (MLS) instrument is on the NASA EOS Aura satellite mission launched on 15 July 2004 [46]. Here we use MLS Version 4, Level 2 CO, and H2O data at both 100 hPa and 215 hPa. The vertical resolution of CO retrievals at 100 hPa is 4.9 km and the precision is ~14 ppbv with a systematic uncertainty of ~20 ppbv. At 215 hPa, they are 5.4 km, ~19 ppbv, and ~30 ppbv. The H2O retrieval has a vertical resolution of 3 km at 100 hPa and 1.6 km at 215 hPa. The precision and accuracy are ~15% and ~8% at 100 hPa, as well as ~40% and ~25% at 215 hPa, respectively [47]. The horizontal resolution of MLS data is ~6 km across the track and ~300 km along the track. We construct gridded data on 5-degree latitude × 5-degree longitude to make the daily maps.


## 2.2. Meteorology Data

We use 6-hourly geopotential height (GPH), horizontal wind field (u and v), and vertical velocity (ω) from ERA-Interim reanalysis in August 2016 in this work to diagnose the dynamical variability of Asian summer monsoon anticyclone and tropospheric upward motion. The horizontal resolution is 1° on 37 pressure levels (from 1000 hPa to 1 hPa).


## 2.3. Trajectory Model

We use Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to track both forward and backward trajectories in this study. The HYSPLIT model assumes a three-dimensional particle distribution [48–50]. The mean particle trajectory is the integration of the particle position vector in space and time [51]. It has been widely used in air transport during Asian summer monsoon season [41, 52]. Given that analysis based on individual trajectories may have uncertainties, we used an ensemble approach to do the analysis. The ensemble approach starts multiple trajectories from a selected starting location. It computes trajectories for 27 starting locations for each specified location. The 27 trajectories are on three vertical levels and there are nine locations for each level. Each trajectory in the approach is calculated by offsetting the meteorological data by a fixed grid factor. The 27 trajectories are used for all possible offsets in three directions [53].


## 3. Chemical Distribution in the UTLS Associated with the Oscillation of the Asian Summer Monsoon Anticyclone

Although the Asian summer monsoon anticyclone is a stationary circulation on seasonal time scale, analysis reveals that it also shows smaller timescales propagation; in particular, 10–20-day east-west oscillation is evident in dynamical fields and model simulated tropospheric tracers [36, 39]. To examine characteristics of STE when the anticyclone center migrates from Tibetan mode to Iranian mode, we first chose a period during which the center of the anticyclone showed an integrated westward oscillation.Figure1 shows a time evolution of the anticyclone at 100 hPa in August 2016. The location and center of the anticyclone are indicated by selected GPH contours. During the time period, the anticyclone showed different phases of the east-west oscillation. It was in the Tibetan mode on Aug 3 (center of the anticyclone located at east of 90°E and north of 35°N) and gradually migrated westward (on Aug 7 and Aug 9). There was an independent relative high GPH center appearing to the east of the main anticyclone (centered at about 150°E) on Aug 7. Then the western center continued to migrate further west and the area became smaller, while the eastern one almost maintained. Figure 1(d) indicates that a new Tibetan mode center on Aug 9 appeared and strengthened in the following days (Aug 10 and Aug 14).Figure 1
Daily maps of geopotential height (GPH, thick contour) and horizontal wind field (vectors) at 100 hPa on (a) Aug 3, (b) Aug 5, (c) Aug 7, (d) Aug 9, (e) Aug 10, and (f) Aug 14, 2016. The GPH contours are 16.70 km, 16.80 km, and 16.85 km. The five-pointed star indicates maximum of GPH in the Asian summer monsoon region (10–40°N, 30–150°E).
(a)
100 hPa GPH [km] and wind field [m/s] on Aug 3, 2016
(b)
100 hPa GPH [km] and wind field [m/s] on Aug 5, 2016
(c)
100 hPa GPH [km] and wind field [m/s] on Aug 7, 2016
(d)
100 hPa GPH [km] and wind field [m/s] on Aug 9, 2016
(e)
100 hPa GPH [km] and wind field [m/s] on Aug 10, 2016
(f)
100 hPa GPH [km] and wind field [m/s] on Aug 14, 2016The confinement of chemical tracers in the Asian summer monsoon anticyclone occurs around 200–100 hPa or 12–16 km [1], while the strongest closed circulation of the anticyclone occurs at ~15 km, above the main convective outflow level (~12 km) [24]. Park et al. [23] have pointed out that upper tropospheric H2O in the monsoon region is consistent with deep convection in both location and evolution. On seasonal scale, the distribution of H2O at the altitude of the tropopause is more influenced by the location of the anticyclone. In order to better characterize mass transport associated with the east-west oscillation of the Asian summer monsoon anticyclone, we further looked into the anticyclone variation at 200 hPa.Figure2 shows the anticyclone evolution at 200 hPa during the same period as in Figure 1. The sequence of the maps demonstrates that although the anticyclone was over TP on Aug 3 (the center of the anticyclone located near 80°E), the main anticyclone located westerly than that at 100 hPa before Aug 10. In addition, an independent relative high GPH center at about 150°E also can be found from Aug 7. We call it the eastward eddy shedding of the Asian summer monsoon anticyclone in the following (e.g., [36, 39]).Figure 2
The same as Figure1, but at 200 hPa. The GPH contours are 12.50 km, 12.55 km, and 12.58 km.
(a)
200 hPa GPH [km] and wind field [m/s] on Aug 3, 2016
(b)
200 hPa GPH [km] and wind field [m/s] on Aug 5, 2016
(c)
200 hPa GPH [km] and wind field [m/s] on Aug 7, 2016
(d)
200 hPa GPH [km] and wind field [m/s] on Aug 9, 2016
(e)
200 hPa GPH [km] and wind field [m/s] on Aug 10, 2016
(f)
200 hPa GPH [km] and wind field [m/s] on Aug 14, 2016Although the anticyclone shows disparity between two levels, the evolutions are basically consistent with each other. As we mentioned above, the chemical distribution in the UTLS is impacted by both anticyclone confinement and deep convections. Horizontal distributions of tropospheric tracers (CO and H2O) and vertical velocity in the UTLS are analyzed to identify which process played more important role in air transport in the UTLS during the period we selected.Previous studies [38, 39] have shown that CO distribution on smaller time scales in the UTLS is influenced by the anticyclone variability. Relative high CO mixing ratio center is always within the anticyclone. During the same period as in Figures 1 and 2, we found that the regions with relative high CO mixing ratio (yellow and orange regions in Figure 3) from MLS observation at 100 hPa were between 0 and 40°N, to the west of 120°E. Specifically speaking, the Iranian mode on Aug 7, Aug 9, and Aug 10 was well shown in MLS CO a little southward, while it was not so clear in Tibetan mode (on Aug 3 and Aug 5) and in the eastward eddy shedding (after Aug 7) of the anticyclone (Figure 1). Note that the gridded MLS CO has a relative coarser horizontal resolution than ERA-Interim data. We constructed the data onto a regular grid which may induce the location shifting compared to dynamical field and to lose smaller scale features. The horizontal distribution of vertical velocity indicates that upward transport on this level was evident in this sequence. However, regions with strong upward transport did not coincide with maximum CO mixing ratio centers.Figure 3
Daily maps of MLS CO mixing ratio at 100 hPa (color shading) on (a) Aug 3, (b) Aug 5, (c) Aug 7, (d) Aug 9, (e) Aug 10, and (f) Aug 14, 2016. The thick gray lines are the 600 hPa contour of surface pressure, indicating the location of the Tibetan Plateau (TP). The regions inside of the white contours represent areas with upward transport (vertical velocity less than −1 Pa/s) at 100 hPa. The five-pointed star indicates maximum of CO mixing ratio in the Asian summer monsoon region.
(a)
100 hPa MLS CO [ppbv] on Aug 3, 2016
(b)
100 hPa MLS CO [ppbv] on Aug 5, 2016
(c)
100 hPa MLS CO [ppbv] on Aug 7, 2016
(d)
100 hPa MLS CO [ppbv] on Aug 9, 2016
(e)
100 hPa MLS CO [ppbv] on Aug 10, 2016
(f)
100 hPa MLS CO [ppbv] on Aug 14, 2016On the other hand, CO at 215 hPa shows a different evolution from that at 100 hPa (Figure4). The relative high CO centers were mainly in the Tibetan mode, that is, located to 60°E. There were also relative high CO centers located to the northeast and southwest of the main center. The enhanced CO mixing ratio regions were collocated with strong upward motion but dislocated with the anticyclone center. That indicates that tropospheric upward transport has more influence on CO distribution than anticyclone confinement at 215 hPa.Figure 4
The same as Figure3, but for MLS CO at 215 hPa and vertical velocity at 200 hPa. The vertical velocity contours are −5 Pa/s.
(a)
215 hPa MLS CO [ppbv] on Aug 3, 2016
(b)
215 hPa MLS CO [ppbv] on Aug 5, 2016
(c)
215 hPa MLS CO [ppbv] on Aug 7, 2016
(d)
215 hPa MLS CO [ppbv] on Aug 9, 2016
(e)
215 hPa MLS CO [ppbv] on Aug 10, 2016
(f)
215 hPa MLS CO [ppbv] on Aug 14, 2016Relatively high H2O mixing ratio near tropopause within Asian summer monsoon anticyclone is also well known [1, 18, 20, 23, 54]. However, it has different features from CO in the UTLS during the Asian summer monsoon season [23]. We then diagnosed H2O horizontal distribution at both 100 hPa and 215 hPa to further understand the relationship between chemical distribution and dynamical processes.At 100 hPa, H2O field shows better relationship with the oscillation of the anticyclone than CO (Figure 5). Relative high CO centers at 100 hPa located southerly and the Tibetan mode was not shown, while we can see relative high H2O regions over TP and IP. Centers of relative high H2O and the anticyclone were not exactly colocated, but the longitudinal movements were overall consistent. We have clarified that the disparity of CO distribution and location of the anticyclone may be caused by the relative coarse horizontal resolution of MLS data. But both CO and H2O variability at 100 hPa during the period indicate that mass distribution on this level migrated from Tibetan mode to Iranian mode with the anticyclone. In particularly, the eastward eddy shedding is evident in H2O distribution.Figure 5
The same as Figure3, but for MLS H2O at 100 hPa.
(a)
100 hPa MLS H2O [ppmv] on Aug 3, 2016
(b)
100 hPa MLS H2O [ppmv] on Aug 5, 2016
(c)
100 hPa MLS H2O [ppmv] on Aug 7, 2016
(d)
100 hPa MLS H2O [ppmv] on Aug 9, 2016
(e)
100 hPa MLS H2O [ppmv] on Aug 10, 2016
(f)
100 hPa MLS H2O [ppmv] on Aug 14, 2016The H2O horizontal structure at 215 hPa shows enhanced mixing ratio near the regions with strong upward movement (Figure 6). The westward oscillation which was evident in dynamical field is not shown in H2O sequence at 215 hPa either. This structure is similar to CO field on this level (Figure 4). Park et al. [23] have pointed that maximum H2O mixing ratio at the altitude near tropopause is within the anticyclone, while that in upper troposphere is coherent with deep convections in seasonal scales. The day-to-day behavior of H2O further illustrated that chemical distribution in the UTLS was influenced by both the confinement of the anticyclone and deep convections. They show different importance on different levels.Figure 6
The same as Figure4, but for MLS H2O at 215 hPa.
(a)
215 hPa MLS H2O [ppmv] on Aug 3, 2016
(b)
215 hPa MLS H2O [ppmv] on Aug 5, 2016
(c)
215 hPa MLS H2O [ppmv] on Aug 7, 2016
(d)
215 hPa MLS H2O [ppmv] on Aug 9, 2016
(e)
215 hPa MLS H2O [ppmv] on Aug 10, 2016
(f)
215 hPa MLS H2O [ppmv] on Aug 14, 2016Another feature in chemical distributions in the UTLS is that although CO at 100 hPa did not show an independent relative high value center to the east of the main anticyclone over Western Pacific, it can be found in H2O field on both levels. In addition, we can also found the relative high CO centers to the east of the main anticyclone at 215 hPa. The regions with enhanced H2O mixing ratio over Western Pacific are larger than those with enhanced CO. Moreover, the regions with enhanced H2O mixing ratio were connected to the main anticyclone. The relative high values centers of both tracers to the east of the main anticyclone on lower levels were more evident than on upper levels indicating that the eastern centers over Western Pacific are likely resulting from the upward transport of near-surface air with high CO and H2O. The western center of the tracers’ maximum at 100 hPa was probably attributed by the anticyclone migration. Based on the uncertainty, we will further measure the vertical transport in troposphere and track the air parcel trajectories.


## 4. Tropospheric Upward Motion

Deep convections associated with the Asian summer monsoon play an important role in surface emissions transporting into the UTLS [21, 31]. The time-averaged deep convection located in the southeast of the Asian summer monsoon anticyclone (e.g., [23, 31]). Previous studies have shown that TP is a preferred location for tropospheric tracers to be lifted to upper levels [34–36]. To identify the mass transport in troposphere during the period we chosen, we selected two cross-sections, along 20°N (in the south of the Asian summer monsoon anticyclone) and along 30°N (over TP), to analyze the vertical transport.The horizontal distribution of vertical velocity in the UTLS (see Figures3–6) indicates that upward motion was mainly located to the southeast of TP. Figure 7 shows longitude-height cross-sections of vertical velocity along 20°N. Regions within black contours represent where strong upward motion happened. Although the anticyclone was in the western mode on Aug 7 and Aug 9, and double centers phase occurred on Aug 10 and Aug 14, we can only found strong upward motion around 100 hPa at 60°E (over Iranian Plateau) on Aug 7 during the period. The dynamical fields and H2O field all show that the anticyclone extended to the east of 150°E at 100 hPa (Figure 1). Coincidentally, the persistent strong upward motion at 150°E in the period was found and they can reach 100 hPa.Figure 7
A pressure-longitude cross section of vertical velocity along 20°N on (a) Aug 3, (b) Aug 5, (c) Aug 7, (d) Aug 9, (e) Aug 10, and (f) Aug 14, 2016. Gray shading regions indicate upward. Regions within black contours are strong upward motion regions (contour level is −10 Pa/s).
(a)
Vertical velocity [m/s] at 20°N on Aug 3, 2016
(b)
Vertical velocity [m/s] at 20°N on Aug 5, 2016
(c)
Vertical velocity [m/s] at 20°N on Aug 7, 2016
(d)
Vertical velocity [m/s] at 20°N on Aug 9, 2016
(e)
Vertical velocity [m/s] at 20°N on Aug 10, 2016
(f)
Vertical velocity [m/s] at 20°N on Aug 14, 2016The upward motion along 30°N was weaker than that along 20°N (Figure8). But persistent upward motion still can be found at 150°E except on Aug 3. In addition, the upward motion in the UTLS was not consistent with the anticyclone migration. Strong upward transport on upper levels was always to the east of 60°E.Figure 8
The same as Figure7, but along 30°N. Black shading indicates terrain.
(a)
Vertical velocity [m/s] at 30°N on Aug 3, 2016
(b)
Vertical velocity [m/s] at 30°N on Aug 5, 2016
(c)
Vertical velocity [m/s] at 30°N on Aug 7, 2016
(d)
Vertical velocity [m/s] at 30°N on Aug 9, 2016
(e)
Vertical velocity [m/s] at 30°N on Aug 10, 2016
(f)
Vertical velocity [m/s] at 30°N on Aug 14, 2016In summary, upward motion was stronger along 30°N than along 20°N. When the anticyclone migrated from Tibetan mode to Iranian mode, the upward motion in troposphere along both cross-sections did not change much. The strong upward transport in the UTLS was always to the east of 60°E. There were also upward motions in the whole troposphere over Western Pacific. Thus, the relative high GPH center in the UTLS around 150°E (Figures1 and 2) may be caused by both the eastward eddy shedding of the main anticyclone and tropospheric upward lifting.


## 5. Trajectory Analysis

Since the location of strong upward motion in the UTLS did not show east-west oscillation during the period we selected, we use HYSPLIT trajectory model to track how the air parcels transport when the anticyclone oscillated. CO and H2O daily maps at 100 hPa and 215 hPa have revealed that their distributions at 215 hPa are likely resulting from upward transport in troposphere. In trajectory analysis, we chose air at 16.8 km to investigate the air transport associated with the westward oscillation of the anticyclone.In the sequence we chosen, the anticyclone was in the Tibetan mode at the beginning and then migrated to Iranian mode. An independent relative high GPH center over Western Pacific resulting from the eastward eddy shedding of the Asian summer monsoon anticyclone was also found during the period (Figure1). We focus on the air transport when the anticyclone migrated from the Tibetan mode and the sources of the air within the anticyclone in the Iranian mode and over Western Pacific.We first analyze the 5-day forward trajectories at 16.8 km released at 40°N, 100°E on Aug 3, 2016 (Figure9). In the vertical direction, air parcels went both upward and downward. They can lower to 14 km and reach higher than 19 km after Aug 8 which meant the air within the anticyclone can transport across tropopause and into stratosphere. In general, the air parcels were maintained in the UTLS region in the 5 days. The horizontal pathway shows that air parcels went westward and eastward and remained around 100°E. This is consistent with the fact that the anticyclone center moved from east to west and the eastward eddy shedding appeared from Aug 3 to Aug 9 (Figure 1).Figure 9
The ensemble forward trajectories at 16.8 km on Aug 3, 2016. The top part shows the time evolution of trajectories in the horizontal and the bottom part which indicates the vertical variation of trajectories with time. The trajectory released at 40°N, 100°E (red dot). The duration is 120 hours.As it is shown in Figures7 and 8, strong upward motion in troposphere, especially on upper levels, was always to the east of 60°E. However, the anticyclone located over IP on Aug 7 and Aug 9, 2016. It motivated us to analyze the backward trajectories of air within the anticyclone in the Iranian mode. Figure 10 is the 5-day ensemble backward trajectories at 16.8 km where the departure point is at 33°N, 60°E on Aug 9, 2016. It is shown that all the air parcels were from levels above 14 km and all came from the east. That is to say the air within the anticyclone over IP was entirely cause by westward migration of the anticyclone.Figure 10
The ensemble backward trajectories at 16.8 km on Aug 9, 2016. The trajectory released at 33°N, 60°E (red dot). The duration is 120 hours.Differently, air within the relative high GPH center which located over Western Pacific has two sources (Figure11). One part was from the main anticyclone over TP, while the other was from southern regions below. The vertical trajectories show that all the air parcels here were from lower levels or same levels. Although the 5-day backward trajectories indicate that air was from levels above 10 km, the analysis of vertical velocity above shows that there were persistent upward motions in the UTLS in this region (Figures 3–6) and in the whole troposphere at 30°N.Figure 11
The ensemble backward trajectories at 16.8 km on Aug 9, 2016. The trajectory released at 40°N, 150°E (red dot). The duration is 120 hours.Overall, the trajectory analysis illustrates that when the anticyclone migrated from east to west, air within the anticyclone was maintained in the UTLS, moved both westward and eastward, and may also stay over TP. All the air within the anticyclone in the Iranian mode was transported by the westward migration of the anticyclone, while air within the relative high GPH center over Western Pacific was from both eastward eddy shedding of the anticyclone and air on lower levels.


## 6. Conclusions

Using the 6-hourly EAR-Interim reanalysis data, MLS observations, and HYSPLIT trajectory model, we have studied CO and water vapor distributions and air transport in the UTLS associated with an east-west oscillation of Asian summer monsoon anticyclone process in August 2016.Our analysis shows that the anticyclone defined by relative high GPH at both 100 hPa and 200 hPa migrated from Tibetan mode to Iranian mode during the period we selected. Meanwhile, the eastward eddy shedding of the main anticyclone contributed to independent relative high GPH centers over Western Pacific. The anticyclone at 200 hPa located southerly compared to that at 100 hPa.CO daily maps at 100 hPa during the same period illustrate the enhanced CO mixing ratio located between 0 and 40°N, to the west of 150°E. The horizontal distribution of relative high H2O mixing ratio at 100 hPa shows better consistency with the location of the anticyclone than CO. Both tracers did not show apparent relationship between their maximum concentration centers and regions with strong upward motion on this level. However, their horizontal distributions were both influenced by upward transport at 215 hPa. Although the east-west migration of the anticyclone at 215 hPa was still very clear, high values of both tracers were always to the east of 60°E. Note that enhanced H2O mixing ratio was consistent with the eastward eddy shedding of the anticyclone on both levels but it was not evident in CO field.The longitude-height cross-sections of vertical velocity along 20°N and 30°N indicate that persistent upward motion in troposphere was over TP and Western Pacific. But the upward motion was much stronger over 30°N than over 20°N and much weaker over IP.The result from a trajectory model shows that when the anticyclone initiated in the Tibetan mode on Aug 3, the air within the anticyclone went both westward and eastward but was maintained in the UTLS in the following 5 days. Air within the anticyclone in the Iranian mode on Aug 9 was all from east in the UTLS which was caused by the east-west oscillation of the anticyclone. There was no upward transport from surface to tropopause over IP in this case. On the other hand, the eastward eddy shedding of the anticyclone only contributed to part of air within relative high GPH center over Western Pacific. The other part of the air was from levels below which was lifted by tropospheric upward motion.Lastly, we want to emphasize that this study is a case study and based on MLS observations. To get a complete understanding of details in mass transport associated with the east-west oscillation of Asian summer monsoon, we should do more analysis.



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*Source: 5174025-2017-10-10.xml*