Abstract
In the present study, the northward-propagating intraseasonal oscillations (ISOs) over the South China Sea (SCS) during the summer monsoon season are divided into two types. One is the northward propagation of ISOs confined in the SCS (defined as P1-ISO), another for ISOs moving from the SCS to Southern China (SC) defined as P2-ISO. The spatial and temporal structures of the two types of ISOs are compared based on the analysis of the NCEP–NCAR reanalysis datasets. It is found that a significant difference appears in the heat flux anomalies over SC that is attributed to the cloud-radiation effect. A mechanism associated with the changes in the convective instability is proposed to understand the cause of the northward propagation of the ISO from the SCS to SC. For the P1-ISO, a more precipitation over SC leads to a less surface solar radiation and then a cold land surface temperature (LST), which induces an increase of static stability via surface longwave radiation and sensible heat flux. Whereas the total contribution to the convective instability changes does create an unfavorable for ISOs propagating northward, the moisture convergence, mainly controlled by the baroclinic vorticity advection effect, may contribute to an increase of convective instability that favors the ISOs moving northward. For the P2-ISO, a less precipitation over SC results in a more shortwave radiation reaching the ground that induces a warm LST, and thus leading to a warm low-level air temperature and destabilizing the atmosphere ahead of the convection. Moreover, the moisture convergence, dominated by the warm low-level air temperature, also contributes to the increase of convective instability. Thus the convective instability increment should favor the ISOs moving northward. It is worth noting that the baroclinic vorticity advection and moisture advection are not essential for ISOs propagating from the SCS to SC.
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1 Introduction
The South China Sea (SCS) summer monsoon (SCSSM) is a subsystem of the Asian monsoon, with unique characteristics that different from those of other Asian monsoon subsystems. The SCSSM has a special geographic location that joins three Asian monsoon subsystems: the subtropical East Asian monsoon, the tropical Indian monsoon, and the western North Pacific (WNP) monsoon (Wang et al. 2009). While the SCSSM rainbelt is linked with that of the WNP summer monsoon (Murakami and Matsumoto 1994; Wang 1994; Zheng et al. 2013; Zheng and Huang 2019), the circulation characteristics of the SCSSM are similar with those in the tropical Indian monsoon rather than in the WNP monsoon (Zheng et al. 2013; Zheng and Huang 2019). Due to the unique characteristics in geographic location and relation to other monsoon subsystems, the SCSSM has attracted more and more attention.
The SCSSM has prominent climate variability on intraseasonal to geological timescales (Wang et al. 2009). The SCS is one of regions where exhibit the largest intraseasonal variability during boreal summer (Kemball-Cook and Wang 2001; Li et al. 2018). The SCS intraseasonal oscillations (ISOs) usually include two periods of 10–20-day and 30–60-day (Mao and Chan 2005; Li et al. 2018; Zheng and Huang 2019), and impact the precipitation over Southern China (SC) with a northward or northwestward movement (Chen et al. 2015; Li et al. 2015; Gao et al. 2016; Zheng and Huang 2018). Moreover, the northward-propagating ISOs affect the extreme precipitation (Hsu et al. 2016; Zheng and Huang 2019) and heatwave (Hsu et al. 2017) over East Asia. In comparison to the winter ISO, the boreal summer ISO (BSISO) shows a more complex propagation feature, while the northward-propagating mode is the most important. The northward-propagating BSISOs appear in South Asian summer monsoon (Yasunari 1979, 1980; Krishnamurti and Subrahmanyam 1982), the WNP and SCS summer monsoon regions (Murakami and He 1984; Chang et al. 1996; Wang and Xie 1997; Zheng et al. 2011; Zheng and Huang 2018), with a variance equivalent to the sum of the eastward- and westward-propagating modes (Lin et al. 2010). In addition, the eastward-propagating mode occurs most frequently during December through May, while all the independent northward-propagating ISOs occur in boreal summer (Wang and Rui 1990).
Some mechanisms have been proposed to explain the northward propagation of ISO, and the main mechanisms are listed in Table 1. The moisture advection in the planetary boundary layer (PBL) and barotropic vorticity effect are found to be the dominant mechanisms for the northward propagation of ISO (DeMott et al. 2013), which are mainly attributed to the mean state of circulation.
Over the SCSSM region (105°–120° E), a northward-propagating component of 30–60-day ISOs is evidently found from May to September (Fig. 1). Some northward-propagating ISOs can reach as far north as around 30° N, the Yangtze River Basin (marked by red solid lines in Fig. 1), whereas most of the northward-propagating ISOs are confined to the south of 21° N (red dashed lines in Fig. 1). Why can some ISOs move from the SCS to SC and others not? Understanding the processes can help us to monitor and forecast the persistent rainfall over SC. As mentioned above, the SCS ISOs usually include two periods of 10–20-day and 30–60-day (Mao and Chan 2005; Li et al. 2018; Zheng and Huang 2019). In this study, we aim to analysis the 30–60-day ISOs in the SCSSM region during May to September. The next section describes the datasets and methods used in this study. In Sect. 3, two types of northward-propagating ISOs over the SCS are compared to explore the mechanism of the northward-propagation from SCS to SC, followed by the conclusions from this study.
2 Data and analysis method
In this study, the daily three-dimensional winds, water vapor, and air temperature are from the National Centers for Environmental Prediction-National Center for Atmospheric Research (NCEP-NCAR) reanalysis (Kalnay et al. 1996) with 2.5° × 2.5° grids for the period 1 January 1997 through December 2016. The NCEP-NCAR reanalysis data have 17 pressure levels from 1000 to 10 hPa, while the variable of specific humidity is just defined from 1000 to 300 hPa. The other datasets for the same period include the daily surface fluxes (surface solar radiation, longwave radiation, latent, and sensible heat fluxes), and sea surface/land skin temperature from NCEP–NCAR with a T62 Gaussian grid and daily precipitation from the Global Precipitation Climatology Project (GPCP) satellite-derived infrared (IR) GOES precipitation index (GPI) daily rainfall estimates at 1° spatial resolution (Huffman et al. 2001). Note that positive values of latent heat flux, sensible heat flux longwave radiation, and shortwave radiation mean that the energy transfers from the ocean/land to the atmosphere and vice versa for negative values.
The SCS region is 105–120° E, 5.5–20.5° N, and the SC region is 105–120° E, 21.5–31.5° N in this study. For the convenience, all data are interpolated into 1° × 1° spatial resolution as the GPI daily precipitation. Moreover, all data except for background fields were filtered by 30–60-day bandpass filters. Climatological mean is from 1981 to 2010. The SCSSM longitudes in this study are from 105° E to 120° E. A Hovmöller diagram is introduced to understand the propagation of ISOs. For the northward-propagating ISO confined in the SCS, the latitude and day with ISO reaching the northern boundary (perturbation precipitation maximum equal to 1 mm day−1, varying latitude event by event) were chosen as reference latitude (zero latitude) and reference day (zero day), and the latitude and day with ISO arriving at the mean northern boundary (fixed latitude) were selected for the northward-propagating ISO that can reach around 30° N. They cover 10° N/S latitude of the reference latitude and 30 days before and after the reference day. Furthermore, composite analysis, lead-lag correlation, and partial correlation analysis are introduced to understand the processes of the northward-propagating ISOs.
3 The northward-propagating ISO in the SCSSM region
3.1 Two types of ISOs and their structures
As shown in Fig. 1, there are 14 ISOs that can move from the SCS to SC (27.5% of the total) and the 37 confined in the SCS (72.5% of the total), and the former is about 37.8% of the latter. Noting that we selected the northward-propagating ISO event not only based on visual detection, but also, to a greater extent, based on the location of the precipitation maximum (Figure not shown). If the location of maximum precipitation shows a significant continuous northward shift, the process is selected as a northward-propagating event. Here, the continuous northward shift means that the position of the convection center continues to move northward over time, but without a large latitude jump. Thus, according to the definition of the northern boundary mentioned in Sect. 2 (northernmost position of the precipitation maximum with value larger than 1 mm day−1), we can determine the two types of northward-propagating ISO. Figure 2 shows the composite northward-propagating ISO based on the reference day defined by the ISO precipitation maximum for the all events during May to September. It is indicated that the mean northern boundary (MNB) of the northward-propagating ISO is around 21.5° N by using a threshold of 1.0 mm day−1. We use the criteria of 1 mm day−1 because 95% confidence level threshold related to the location of ISO center is about 1 mm day−1 (Figure not shown). Also we calculated 90% and 99% confidence level threshold related to the location of ISO center, and the results do not show an evident difference (Figure not shown). Besides, we additionally add the contours of 1.5 mm day−1 and 0.5 mm day−1 in Fig. 1 with red color, while they are very close to the contour of 1 mm day−1 and the cases have not changed evidently. It implies that the criteria are not sensitive. Then, we do a composite based on the northern boundary as in Fig. 3. When the northward-propagating ISO is confined to the south of 21° N (hereafter P1-ISO), the composite precipitation is based on the day when the anomalous precipitation reaches the real northern boundary of event by event. While the northward-propagating ISO can reach around 30° N (hereafter P2-ISO), the reference day is based on the day when the anomalous precipitation reaches the MNB (21.5° N). Figure 3a shows the P1-ISO with a northern boundary of 20.5° N nearly same to that of all events in Fig. 2 and the P2-ISO in Fig. 3b has a northern boundary about 27.5° N by using a threshold of 1.0 mm day−1.
It is worth understanding why some ISOs can move to the farther north and others cannot. Since the mean state of the atmospheric circulation controls the northward-propagating ISOs as mentioned above, we first examine the climatological background fields in the SCSSM region (Fig. 4). From Fig. 4a, one can see that the mean boundary of 30–60-day northward-propagating ISO is indeed around 21° N. Corresponding mean states of background fields are shown in Fig. 4b–f. It can be found that the vorticity advection about baroclinic mean meridional wind (Fig. 4c), and moisture advection about low-level meridional wind (Fig. 4e) can do their work on the northward-propagating ISO not only in the SCS but in SC. While the effects of vertical easterly wind shear (Fig. 4b), atmospheric convective instability (Fig. 4d), and moisture advection related to low-level humidity (Fig. 4f) are confined to the south of 21° N. Following Zhang et al. (2004) and Ding and He (2006), the convective instability in this study is defined as the difference of equivalent potential temperature (θe) between the middle and surface-lower troposphere:
A negative value of \(\Delta {\theta }_{e}\) implies that the atmosphere is potentially unstable. From Fig. 4d, one can infer that the atmosphere favors the development of convection both in the SCS and in SC, especially between 15–20° N.
Next, we take a composite approach to reveal the meridional and vertical structure of two types of the northward-propagating ISOs. Figure 5a–c shows the meridional-vertical structure of the composite P1-ISO (marked by red dashed lines in Fig. 1) and Fig. 5d–f for the P2-ISO (marked by red solid lines in Fig. 1). It is indicated that a positive vorticity center with an equivalent barotropic structure leads the convection by around 1–2° both for the P1-ISO (Fig. 5a) and the P2-ISO (Fig. 5d). This barotropic vorticity is associated with the baroclinic mean meridional wind (Fig. 4c) rather than the vertical easterly wind shear (Fig. 4b), since the former has a greater contribution to the vorticity tendency (With 5.06 × 10–6 s−1 day−1 of maximum value north of the convection center for the P1-ISO and 8.38 × 10–6 s−1 day−1 for the P2-ISO, Figure not shown) than the latter (With 4.67 × 10–7 s−1 day−1 of maximum vorticity tendency north of the convection center for the P1-ISO and 3.21 × 10–7 s−1 day−1 for the P2-ISO, Figure not shown). Figure 5b and c show that the low-level convergence and moisture have similar pattern to the barotropic vorticity, implying that the free atmosphere barotropic vorticity would induce convergence in the PBL, and then lead to a moisture convergence. Noting that the center of the former two is closer to the convection than that of the vorticity, the convergence is suppressed in the north of the convection. Different from the P1-ISO, more remarkable meridional asymmetries appear in the low-level convergence and moisture of the P2-ISO. It is implied that the convergence to the north of the convection is enhanced for the P2-ISO. Although the moisture advection by the mean meridional wind in the lower troposphere (Fig. 4e) also can lead to a northward shift of the moisture convergence, it is much less than the contribution of the PBL moisture convergence (Figure not shown).
3.2 The effects of surface heat flux
Warm underlying surface temperature anomalies usually transfer the energy from the underlying surface to atmosphere, and then the destabilized atmosphere would induce low-level convergence. Thus, Kemball-Cook and Wang (2001) and Hsu et al. (2004) proposed a mechanism associated with sea surface heat flux to explain the northward-propagating ISO over the ocean region. Though observations show that the strongest northward-propagating ISO appears over the SCS (Fig. 1), the purpose of this study is to understand the processes of northward-propagating ISO from the SCS to SC. Therefore, we pay more attention to the land surface heat flux. Webster (1983) hypothesized that the land surface heat flux may play a role in leading to a northward shift of the convection, while the effect of solar radiation, considered in this study, is ignored.
Figure 6 shows the Hovmöller diagrams of the surface heat flux anomalies for the P1-ISO. According to the definition of the reference latitude, we know lat 1–10 in Fig. 6 denote land of SC and lat − 10–0 for the north of the SCS. From Fig. 6a, we can see that cold land surface temperature (LST) anomalies (LSTAs) appear in entire SC during day − 10 to day − 5. Moreover, negative LSTAs, with a minimum value at around day 0, are maintained from day − 4 through day 15 in the south of SC. Cold LSTAs cool the low-level air temperature via reducing heat flux from the ground to the atmosphere (e.g. surface sensible heat flux as shown in Fig. 6f, surface longwave radiation in Fig. 6g, or the sum of the two in Fig. 6h). This suggests that the cold LSTAs may lead to an increase of static stability, which depresses the low-level convergence over SC. Thus the low-level convergence center and caused perturbation moisture maximum for the P1-ISO appears at around the convection center (as shown in Fig. 5b and c, and the position of the convection center here is coincident with the northern boundary according the definition). Obviously, that is not a favorable condition for ISOs moving northward.
As to the factor which affects the LST changes, we examine the relationship between the perturbations of surface latent heat flux and solar radiation and the LSTA tendency. From Fig. 6b and e, it can be seen that the pattern of sum of the former two is similar to that of LSTA tendency. This implies that the LST changes are controlled by both the solar radiation and the surface latent heat flux. Comparing Fig. 6c and d, we can find that the surface shortwave radiation should play a more important role in affecting the LSTAs than the surface latent heat flux in SC, while in the SCS, the opposite is true. Moreover, from Fig. 6b and c, we can find the precipitation anomaly is in phase with the change in the LSTA and surface shortwave radiation. That implies that the latter two may be caused by the ISO precipitation.
Figure 7 is same as Fig. 6 but for the P2-ISO. From Fig. 7a, one can see that warm LSTAs appear in the entire SC region at and before day 0 when the ISO reaches the MNB, and change to a cold condition after then. Therefore, at day 0, the atmosphere tends to be unstable over SC, leading to a farther northward shift of the low-level convergence center and induced specific humidity maximum. Comparing Fig. 7f–h, we can find that surface longwave radiation should have a larger contribution to the tendency of low-level air temperature than surface sensible heat flux. Different from the P1-ISO, the LST changes in SC (Fig. 7b) are controlled by surface solar radiation (Fig. 7c), not surface latent heat flux (Fig. 7d). But in the SCS, the LST changes are dominated by both of them, with a relatively greater contribution of surface latent heat flux (Fig. 7c–e), which is similar to the P1-ISO. On the other hand, there is a relative large LST anomaly leading the precipitation anomaly in SC, implying that the LST anomaly should play an important role in the northward propagation of ISO from the SCS to SC.
As mentioned above, for the P1-ISO (P2-ISO), cold (warm) LST in SC should have a negative (positive) contribution to ISOs propagating farther northward via depressed (enhanced) low-level convergence. While the LST changes in SC are dominated by the surface shortwave radiation, not the surface latent heat flux. From Fig. 3, we can see that a positive (negative) phase in the ISO precipitation appears before the convection has moved to SC for the P1-ISO (P2-ISO). Since perturbation precipitation would induce the changes in surface solar radiation, it may be a key factor in affecting the ISOs propagating farther northward, e.g. from the SCS to SC.
To reveal the effect of the SC precipitation, we conduct a lead–lag correlation analysis to examine the relationship between the ISO perturbations and the precipitation over SC (Fig. 8). Figure 8a shows that the precipitation over SC and that at the reference latitude (lat 0), for the P1-ISO, have a main negative correlation during day 0-day 10 of lag-time. That implies that the convection is confined to the south of lat 0 (about 20.5° N), that is to say, the ISOs cannot propagate from the SCS to SC. While the precipitation over SC leads the ISO about 20 days, which is consistent with what Fig. 3a shows. As a result, the surface solar radiation maximum can be found around 6 days after the precipitation maximum (Fig. 8b). Then the positive (upward) solar radiation leads to a cold surface air temperature about 5 days after (Fig. 8c), and the latter would induce a divergence (Fig. 8d) that prevents the development and northward propagation of convection.
For the P2-ISO, different processes occur over SC. Figure 8e shows that the rainy phase of the SC precipitation lags that at zero latitude about 6 days, implying about 6 days for the ISO to propagate from the SCS to SC, which is consistent with what Fig. 3b shows. Moreover, the surface solar radiation and the precipitation over SC are almost in phase (Fig. 8f), which is consistent with that of the northward-propagating ISOs (e.g. Zheng and Huang 2019), but different from that of the P1-ISO (Fig. 8b). A main negative solar radiation (downward flux), ahead of the precipitation maximum (Fig. 8f), heats the surface air temperature (Fig. 8g), and then causes a PBL convergence (Fig. 8h) and thus a northward shift of the convection.
3.3 Role of anomalous convective instability
The background convective instability, with a negative meridional gradient, would create a favorable condition for ISOs moving northward because of the destabilized Rossby waves (Li et al. 2013). While the background convective instability, with a positive meridional gradient north of about 17.5° N (as shown in Fig. 4d), has a negative contribution to the northward propagation of ISOs over SC. Rather than the background convective instability, anomalous convective instability north of the convection center is essential to drive ISOs northward. As shown in Fig. 9a, the positive convective instability parameter (defined as an averaged value of \(\Delta {\theta }_{e}\) over SC) appears in the P1-ISO at day 0 (a reference day) and several days before, while it is opposite for the P2-ISO. What are the relative contributions of the low-level (surface-700 hPa) and mid-level (600–300 hPa) \({\theta }_{e}\) to cause the anomalous convective instability over SC? From Fig. 9b, one can see that \(\Delta {\theta }_{e}\) over SC is mainly attributed to the low-level \({\theta }_{e}\) for both the P1-ISO and P2-ISO.
As \({\theta }_{e}\) is determined by specific humidity (q) and air temperature (T), what are their relative roles in causing the \(\Delta {\theta }_{e}\) anomalies (\(\Delta {{\theta }_{e}}{^{\prime}}\)) over SC? To address this question, we calculate the correlation coefficients between \(\Delta {\theta }_{e}\) and either q or T (as shown in Fig. 10). Figure 10 shows that the \(\Delta {{\theta }_{e}}{^{\prime}}\) over SC has close relationship with both \({q}{^{\prime}}\) (low-level specific humidity anomaly) and \({T}{^{\prime}}\) (low-level air temperature anomaly) at lower level by the normal correlation calculations, whereas the \({T}^{^{\prime}}\) may contribute to the \({q}{^{\prime}}\) as mentioned above. Therefore we introduce a partial correlation analysis to explore the partial contribution from the variation \({q}{^{\prime}}\) or \({T}{^{\prime}}\). In Fig. 10, the partial correlation of \([\Delta {{\theta }_{e}}{^{\prime}}, {q}{^{\prime}}({T}{^{\prime}})]\) reflects the relationship between the \(\Delta {{\theta }_{e}}{^{\prime}}\) and \({q}{^{\prime}}({T}{^{\prime}})\) excluding the contribution from \({T}{^{\prime}}({q}{^{\prime}})\)-induced \({q}{^{\prime}}({T}{^{\prime}})\). For the P1-ISO, the results from the normal and partial correlation are similar, implying that the \({q}{^{\prime}}\) or \({T}{^{\prime}}\) have a relatively independent contribution to the \(\Delta {{\theta }_{e}}{^{\prime}}\). While the partial correlation of \([\Delta {{\theta }_{e}}{^{\prime}}, {T}{^{\prime}}]\) is smaller than that from the normal correlation in the P2-ISO, this implies that the \({q}{^{\prime}}\) has a positive contribution to the relationship between the \(\Delta {{\theta }_{e}}{^{\prime}}\) and \({T}{^{\prime}}\). Moreover, the partial correlation of \([\Delta {{\theta }_{e}}{^{\prime}}, {q}{^{\prime}}]\) is not significant that is different from the result from the normal correlation. Thus it may be concluded that the change in specific humidity over SC is greatly attributed to the \({T}{^{\prime}}\) for the P2-ISO.
The correlation coefficient analysis (including the partial correlation) can only present the linear correlation between the two fields, while the instability must be induced by nonlinear interaction between temperature and moisture. Therefore, we did some tests to compare the quantitative contributions of temperature and moisture to the changes in convective instability following Zhao et al. (2013). First, we kept the specific humidity constant while allowing the temperature to change realistically on the intraseasonal time scale (bar labeled due to \({T}{^{\prime}}\) as shown in Fig. 11). Second, we kept the temperature constant while allowing the humidity to vary (bar labeled due to \({q}{^{\prime}}\) as shown in Fig. 11). For the P1-ISO, almost all the lower θe change is attributed to \({T}{^{\prime}}\) (Fig. 11a). While \({q}{^{\prime}}\) change contributes to about 60% of the lower θe change for the P2-ISO, the increase of \({T}{^{\prime}}\) also plays a role (Fig. 11b). Moreover, \({q}{^{\prime}}\) change includes the \({T}{^{\prime}}\)-induced moisture convergence, and \({T}{^{\prime}}\) change includes the \({q}{^{\prime}}\)-induced change in air temperature due to heat and radiative flux anomalies. Thus the net contribution of \({q}{^{\prime}}\) to \(\Delta {{\theta }_{e}}{^{\prime}}\) can be calculated from the contribution of PBL moisture convergence due to the dynamics of free atmosphere and the \({q}{^{\prime}}\)-induced \({T}{^{\prime}}\), while the net contribution of \({T}{^{\prime}}\) to \(\Delta {{\theta }_{e}}{^{\prime}}\) can be calculated from the contribution of \({T}{^{\prime}}\) change due to the surface heat and radiative fluxes and the \({T}{^{\prime}}\)-induced \({q}{^{\prime}}\). For the P1-ISO (Fig. 11a), the net contribution of \({q}{^{\prime}}\) to \(\Delta {{\theta }_{e}}{^{\prime}}\) is negative, favoring the convection moving northward, while the net contribution of \({T}{^{\prime}}\) to \(\Delta {{\theta }_{e}}{^{\prime}}\) has a larger value, resulting in a positive total \(\Delta {{\theta }_{e}}{^{\prime}}\) that prevents the P1-ISO from propagating northward. For the P2-ISO (Fig. 11b), the contribution of \({q}{^{\prime}}\) to \(\Delta {{\theta }_{e}}{^{\prime}}\) is significantly decreased as excluding the effect from \({T}{^{\prime}}\)-induced \({q}{^{\prime}}\), while the net contribution of \({T}{^{\prime}}\) to \(\Delta {{\theta }_{e}}{^{\prime}}\) is greatly increased. That implies that the change in \(\Delta {{\theta }_{e}}{^{\prime}}\) is mainly attributed to the \({T}{^{\prime}}\) change and the change in specific humidity over SC is greatly attributed to the \({T}{^{\prime}}\) for the P2-ISO, which is consistent with the conclusion from the partial correlation analysis.
4 Summary and discussion
The northward propagation of ISOs is evident over the SCS (Zheng et al. 2011; Zheng and Huang 2019), while just a little part can move from the SCS to SC as shown in Fig. 1. Why can some ISOs propagate from the SCS to SC and others not? That is an interesting and challenging issue we try to address preliminarily in this study.
To understand key processes of the northward-propagating ISOs from the SCS to SC, we divide the ISOs into P1-ISO with the northward propagation confined in the SCS (Fig. 3a) and P2-ISO that can move from the SCS to SC (Fig. 3b). Based on the NCEP-NCAR reanalysis, the structures and surface heat fluxes of these two ISOs are compared, and the lead-lag correlation and partial correlation analysis methods are used to further examine the relationship of various variables. According to the results, the change in convective instability over SC, mainly induced by the \({q}{^{\prime}}\) and \({T}{^{\prime}}\), is a key factor for the ISOs propagating from the SCS to SC.
For the P1-ISO, northward propagation is confined to the south of 21°N because of the convective instability decrement over SC that is mainly attributed to \({T}{^{\prime}}\). When the ISO center appears just in the south of the SCS a positive precipitation anomaly occurs over SC (Fig. 3a), and latter, although with a weak strength, should reduce the surface solar radiation (Figs. 6c and 8b) and then LST (Fig. 6b). Thereafter, as the P1-ISO move to the north of the SCS, the cold LSTAs (Fig. 6a) over SC cool the low-level air temperature in situ via decreased surface sensible heat flux (Fig. 6f) and longwave radiation (Fig. 6g). Thus the cold low-level air temperature reduces the convective instability over SC (Fig. 10) that prevents the P1-ISO from propagating northward. While the PBL moisture convergence, mainly controlled by the baroclinic vorticity advection (Bellon and Sobel 2008), appears slight north of the ISO center (Fig. 5a–c) and favors the ISOs moving northward, the total contribution from the convective instability changes is unfavorable for ISOs moving northward (Fig. 10). It implies that the change in low-level air temperature is a dominant factor for the P1-ISO confined in the SCS. Figure 12 shows the schematic diagram for the processes of P1-ISO that cannot propagate from the SCS to SC.
Different from the P1-ISO, the convective instability change over SC, for the P2-ISO, is mainly attributed to the \({T}{^{\prime}}\) and \({T}{^{\prime}}\)-induced \({q}{^{\prime}}\). In the mechanism, the land surface heat flux plays an important role, which is consistent with the result from Webster (1983). As the ISO center appears in the SCS, a dry phase occurs over SC (Figs. 3b and 8e) that leads to a more surface solar radiation (Figs. 7c and 8b) and then a warm LST (Fig. 7a and b). Thus the low-level air temperature is warmed to increase the convective instability over SC. In addition, \({T}{^{\prime}}\)-induced \({q}{^{\prime}}\) is also important for the P2-ISO according to the partial correlation (Figs. 10 and 11b), whereas the moisture convergence, induced by the baroclinic vorticity advection (Bellon and Sobel 2008), is not an important role in modifying the convective instability (Figs. 10 and 11b). Figure 13 is the schematic diagram for the processes of P2-ISO that can move from the SCS to SC.
Webster (1983) pointed out that the land surface heat flux plays an important role in leading to a northward propagation of the ISOs, whereas the effects of radiative flux are ignored. In this study, we tend to conclude that the surface solar radiation and the longwave radiation are two main factors, aided by the sensible heat flux, in causing the northward propagation of ISOs from the SCS to SC. Moreover, the surface latent heat flux should be a key factor in the air-sea interaction effect (Kemball-Cook and Wang 2001). However, the surface latent heat flux has a negative contribution to the northward propagation of ISOs from the SCS to SC via reducing the LST over SC (Fig. 7d). On the other hand, although the \(\Delta {\theta }_{e}\) over SC is mainly attributed to the low-level \({\theta }_{e}\) for both the P1-ISO and P2-ISO (Fig. 9b), the mid-level tropospheric temperature (and moisture) may affect the convective instability change to some extent. While the mid-level \({\theta }_{e}\) change is controlled by the temperature anomaly, the former has negative contributions to the convective instability change in the P1-ISO and P2-ISO (Figure not shown). That is because, for the P1(P2)-ISO, the diabatic heating related to the latent heat release induced by precipitation induces a negative (positive) temperature anomaly during day − 10 to day 0 (Fig. 3), and then the negative (positive) \({\theta }_{e}\) change at mid-level. Compared to low-level temperature anomaly, the mid-level one has an opposite and moderate contribution to the \(\Delta {\theta }_{e}\) change (Figure not shown).
In this study, we also find that the baroclinic vorticity advection (Bellon and Sobel 2008) is not a key factor in driving the ISOs northward over SC. From Fig. 5d and e, we can see that the PBL convergence appears farther north than the barotropic vorticity for the P2-ISO. It implies that the \({T}{^{\prime}}\)-induced convergence is more significant than that induced by the barotropic vorticity, which is consistent with the result from partial correlation analysis (Figs. 10 and 11b). While the barotropic vorticity shown in Fig. 5a has a similar pattern to the low-level convergence (Fig. 5b) for the P1-ISO, implying that the PBL convergence induced by the barotropic vorticity is more important relative to the \({T}{^{\prime}}\)-induced convergence. This and the result from partial analysis (Fig. 10) can be confirmed by each other.
More precipitation over SC is a key factor in slowing down the northward propagation of ISOs over the SCS. The occurrence time of enhanced rainfall is critical. As an ISO center just appears in the south of the SCS, more precipitation over SC should lead to stopping the northward propagation of ISO on the land-sea boundary. When the ISO propagates into the north of the SCS, enhanced rainfall over SC cannot prevent ISO from moving northward because of the response time as shown in Fig. 8a–d. Why does the enhanced precipitation over SC advance the ISO? It is pointed out in previous studies that persistent rainfalls in southern China should be influenced by both the tropical and subtropical systems (Zheng et al. 2007; Zheng and Huang 2018). There is no clear evidence showing the connection between the southward and northward propagations, while a persistent extreme precipitation would be triggered when they meet together (Hu et al. 2014; Zheng and Huang 2018). So the perturbation precipitation may originate, at least partially, from the southward propagation of ISO.
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Acknowledgements
This work is supported by the National Key R&D Program of China (Grant No. 2018YFC1505801), National Natural Science Foundation of China (Grant Nos. 41705089, 41675096, and 41575043), and Science and Technology Program of Guangdong Province (Grant No. 2017B030314140). The NCEP–NCAR reanalysis data were obtained from ftp://ftp.cdc.noaa.gov/. The GPI data were obtained from https://ftp.cpc.ncep.noaa.gov/precip/gpi.
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Zheng, B., Huang, Y., Li, C. et al. How can 30–60-day ISO move from the South China Sea to Southern China?. Clim Dyn 54, 3613–3626 (2020). https://doi.org/10.1007/s00382-020-05194-6
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DOI: https://doi.org/10.1007/s00382-020-05194-6