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According to the aforementioned definition of monsoon onset date, we have obtained the SCSSM onset dates in 1980-2016 (table omitted). The climatological average SCSSM onset date is May 16, with a standard deviation of 11.3 days. Then, we identified the early years (late years) of the SCSSM onset with the onset date 5 days earlier (later) than May 16, with standard deviations being nearly 0.5. Following this criterion, we classified 16 normal years with the onset date between May 11 and May 21, 12 early years with the onset date earlier than May 11, and 9 late years with the onset date later than May 21 (Tab. 1). Fig. 1 presents the composite time series of U850 averaged over the SCS for the early, normal, and late onset groups. The evolution of U850 shows a sharp shift from negative to positive and enhancement around the onset stages in the early and normal onset cases, but a slow change in the late case.
Type Years Early onset years: (mean date: May 4) 1986, 1994, 1996, 2000, 2001, 2004, 2005, 2008, 2009, 2011, 2012, 2013 Normal onset years (mean date: May 17) 1980, 1983, 1984, 1988, 1989, 1990, 1992, 1995, 1997, 1998, 2002, 2003, 2006, 2007, 2015, 2016 Late onset years (mean date: May 30) 1981, 1982, 1985, 1987, 1991, 1993, 1999, 2010, 2014 Table 1. List of early, normal, and late SCSSM onset years.
Figure 1. Composite time series of U850 averaged over the SCS (5° - 17.5° N, 110° - 120° E) for early onset years (red dashed line), normal onset years (black dot line), and late onset years (blue dashed line). The black solid line denotes the climatological mean state.
To identify the dominant components affecting the SCSSM onset, the time series of area-average daily zonal wind anomalies over the SCS (5°-17.5°N, 110°- 120°E) from 1980 to 2016 was first processed by a threepoint running average procedure with the weighting coefficients 0.25, 0.5 and 0.25, respectively, to filter out the high-frequency signals. Then, the time series of daily zonal wind anomalies from April to June each year were selected for the power spectrum analysis. Based on Fig. 2, we can divide the temporal domain into four subdomains, namely 2-7-day, 8-30-day and 30-90-day, and above 90-day, which are associated with high-frequency synoptic process, two intraseasonal oscillations, and lowfrequency component on above-seasonal scale, respectively, while two intraseasonal oscillations are most dominant among them. Actually, the 2-7-day component of high-frequency synoptic process makes very little contribution to the abnormal onset cases; therefore, we pay attention to the roles of other three main components in the SCSSM onset.
Figure 2. Power spectrum (solid line) of regional mean U850 over the SCS (5°-17.5°N, 110°-120°E). The red dashed line denotes the power spectrum for red noise at a confidence level of 95%.
In fact, all the above-mentioned components of zonal winds over the SCS always exert simultaneously their impacts on the SCSSM onset, meaning that their respective roles in the SCSSM onset process are always accompanied with effects of other components. Given this situation, the"deduction procedure"is adopted to detect the relative contribution of each component to the early and late onset cases. The"deduction procedure"is performed as follows: for one year, we can deduct a concerned component from the filtered U850 with below 7-day component removed, and then identify a new onset date (named as"deducted date") based on the deducted U850 series. The difference between the original onset date and the"deducted date"represents relative contribution of the concerned component to the discussed SCSSM onset case. Specifically, a negative (positive) difference represents advanced (delayed) contribution by the concerned component to the SCSSM onset.
As shown in Table 2, in early onset years, both above-90-day and 30-90-day components make important contributions to the earlier onset, and the latter one is more important, while the 8-30-day component has very small and nearly negligible effect on the SCSSM onset abnormality. Similarly, in late onset years, both the above-90-day and 30-90-day components also play key roles in the later onset, while the contribution of 8-30-day component is very little. In summary, the quasi-biweekly component has little influence on the SCSSM onset abnormality, consistent with the conclusion by Chen[28], while both above-90-day and 30-90-day components play major roles in the SCSSM onset abnormality, and the latter contributes about twice as much as the former. In addition, since the average onset date is May 16, and the total contribution of all components in early and late onset years is 10.8 days earlier and 14.6 days later than the average onset date, respectively, so anomalous onset date caused by them are very consistent with the actual average onset dates of the early and late group, which are May 4 and May 30, respectively.
Contribution (d) > 90d 30-90d 8-30d Sum Early onset years -3.8 -6.7 -0.3 -10.8 (relative contribution) (35.2 %) (62 %) (2.8 %) (100 %) late onset years +3.7 +10.1 +0.8 +14.6 (relative contribution) (25.3 %) (69.2 %) (5.5 %) (100 %) Table 2. Contributions of different time-scale components to the SCSSM onset by deduction method (Negative and positive values represent advanced and postponed effects, respectively).
Figure 3 shows the evolution of the composite anomalies of three components in the early and late onset cases. In early case (Fig. 3a), from day -2 to day 2, the positive anomalies of above-90-day and 30-90-day components are pronounced and their amplitudes are quite comparative, which coordinatively makes the SCSSM outbreak in early May in advance, while the anomalies of the 8-30-day component are negative within 7 days before day 0 and very small around day 0, so its effect on the early SCSSM onset is negligible. In late onset years (Fig. 3b), during day -15 to day 0, both above-90-day and 30-90-day components show continuously remarkable negative anomalies, and the amplitude of the latter component is more pronounced, so its role in delaying onset is more obvious than the former one. In contrast, the anomalies of the 8-30-day component maintain negative only within 9 days before the onset date, and its amplitude is also much smaller than the 30-90-day component and becomes comparative to the latter one only within 3 days before day 0; therefore, it has less effect on the onset abnormality. These facts further confirm the results in Table 2.
Figure 3. Composite time series of different components of U850 averaged over the SCS (5°-17.5°N, 110°-120°E) in (a) early onset years and (b) late onset years. The vertical dashed line indicates the onset date (Day 0) of early or late onset years, and"Day-5"or"Day+5"on the abscissa denotes 5 days before or after the onset date, respectively.