1. Introduction
A tropical cyclone (TC) is one of the most serious catastrophic weather events to affect the southeast coast of China, posing a significant threat to the economy, as well as the safety of people’s lives and property, leading to substantial losses every year. Many scholars have conducted research on typhoons. He et al. [
1] analyzed the structure, features, and heavy rainfall of the landfall typhoon “Maisha”, demonstrating that the typhoon maintained an asymmetric structure and had stronger convective clouds to the east and north of the typhoon during its long distance of travel in East China. Chen et al. [
2,
3] conducted a series of studies on tropical cyclones, especially on abnormal typhoons in China. In addition, there have been many studies conducted by meteorologists on the path, intensity, structure, destruction, climate characteristics, and predictability of TCs [
4,
5,
6,
7,
8,
9].
Hainan Province is located in the southern part of China, including Hainan Island and the South China Sea, and is highly vulnerable to TCs. TCs affecting Hainan Province have been the focus of research by meteorologists. Numerous research findings have been obtained. Chen et al. [
10] studied the interannual variation of TCs affecting Hainan Province and found that there are both frequent and infrequent periods of TCs affecting Hainan Province, and that there are four distinct cycles in the annual frequency of these impacts. Yang et al. [
11] conducted statistics on the frequency, intensity, and location of TCs that have made landfall in China in recent decades. They found that there were significant interannual and interdecadal variations in the TCs that made landfall on Hainan Island. Wu [
12] studied the characteristics of TCs affecting Hainan and their relationship with ENSO, in addition to counting the frequency, intensity, landfall sites, and other patterns of TCs affecting Hainan and their correlation with ENSO. Ye et al. [
13] conducted a study that established correlations between the statistical characteristics of TCs and changes in oceanic atmospheric circulation activities, specifically focusing on the Western Pacific subtropical high during the corresponding period. Wei et al. [
14] conducted a statistical analysis of TCs that made landfall and affected Hainan Island from 1949 to 2008, revealing the variations in the circulation background of TCs with different paths and similar paths in different seasons. Liang et al. [
15] statistically analyzed the characteristics of TCs that made landfall in Hainan Province from 1964 to 2013, focusing on the characteristics of the year, month, intensity, path, and landfall location. In addition, there is a close relationship between SST and atmospheric circulation. Hu et al. [
16] studied the relationship of summer precipitation anomalies and subtropical Northeast Pacific SSTA, highlighting that the negative SSTA in the subtropical Northeast Pacific can cause a low-level divergence and high-level convergence. Chen [
17] studied the impacts of El Niño and La Niña on the cycle of the East Asian winter and summer monsoons, which showed that the close linkage between the East Asian winter monsoon and the following summer monsoon is due to the impact of the SSTA associated with El Niño or La Niña events. Zhi et al. [
18] conducted a retrospective prediction in a coupled model over East Asia during the El Niño event’s decaying phase and discovered that the negative SSTA in the western North Pacific can cause the anomalous anticyclones over the area, which increase the rainfall. The internal connection between SST and atmosphere circulation has an impact on TCs.
In the field of meteorology, the rainy season refers to a specific period of the year characterized by a relatively high and concentrated amount of precipitation. Conversely, the dry season is defined as a period when precipitation is relatively low and scattered throughout the year. Similar to some low latitude areas in China [
19], a clearly dry–wet seasonality is also an important climatic characteristic of Hainan. According to the statistics from Hainan Climate Center, the total rainfall of the dry season (from November to April of the following year) constitutes only 17.0% of the annual precipitation. However, regardless of whether it is the rainy season (from May to October) or dry season, Hainan is affected by TCs due to its special geographical location. Wu et al. [
20] conducted a statistical analysis of the climatic characteristics of typhoon activity in the Northwest Pacific in the dry season based on typhoon data from 1949 to 2002 and found that there was no significant decrease in the number of TCs affecting Hainan Province in the dry season. However, most of the studies on the mechanism of TCs affecting Hainan Province have focused on the rainy season, and few studies conducted on dry season TCs have been conducted.
In recent years, several TCs have occurred in the dry season, causing significant impacts in Hainan Province. One such example is the super typhoon “Haiyan” in November 2013, which caused huge economic losses for Hainan Island. Statistically, there have been 110 TCs affecting Hainan Province in the dry seasons from 1980 to 2021, with an average of 2.6 per year. An analysis of the five-year moving average demonstrates a significant shift from less frequent to more frequent after the 2010s (
Figure 1). Therefore, it is necessary to analyze the TCs affecting Hainan Province in the dry season.
SST (sea surface temperature) has an important influence on the generation and development of TCs. Tropical ocean SST anomalies can regulate the environmental factors associated with tropical cyclones by influencing the large-scale circulation system [
21]. It has been shown that SST anomalies can be used as potential predictors of TC generation. Many scholars have conducted studies on the influence of the SST on the frequency and intensity of TCs [
22,
23,
24,
25,
26,
27]. Therefore, SST anomalies have an impact on the TCs affecting Hainan Province in the dry season. It is necessary to analyze the sea temperature background of the TC anomalies to reveal the intrinsic link between sea temperature conditions and the TCs affecting Hainan Province. This can improve our ability to predict the TCs that will affect Hainan Province.
2. Data and Methods
The TC data are from the best path data set of TCs compiled by the Shanghai Typhoon Research Institute of the China Meteorological Administration (CMA) [
28], where the position and intensity of TCs are recorded once every 6 h. SST data are obtained from the month-by-month SST data provided by the Japan Meteorological Agency (JMA), with a horizontal resolution of 1° × 1° [
29]. Subsurface sea temperature data were obtained from NCEP’s high-resolution and multilayer ocean analysis, with depths ranging from 5m in the surface layer to approximately 4500 m in the subsurface layer, comprising a total of 40 layers. The wind data are from the NCEP/NCAR reanalysis data [
30]. The period analyzed in this paper is from 1980 to 2021. According to the World Meteorological Organization (WMO), the climatological normals were obtained using data from 1991 to 2020.
According to the medium- and long-term meteorological operations in Hainan Province, the area delineated in
Figure 2 represents the influence area of TCs. If a TC enters the area and is recorded two or more times in the region, including as a tropical depression (TD), tropical storm (TS), strong tropical storm (STS), typhoon (TY), strong typhoon (STY), or super typhoon (super TY), it is defined as a TC affecting Hainan Province.
Then, we need to divide the TCs into different months. The impact time is the time of the TC’s initial entry into the region, which can be deduced from the two recorded times before and after entering the region. If a TC is generated at the end of April and enters the region in early May, it will be counted as a TC that impacted Hainan Province in May rather than April.
The percentile method [
31,
32] was used to select the active years and quiescent years for TCs in
Section 4. The Years with TC numbers below the 10% threshold were selected as the quiescent years for TCs. The Years with TC numbers above the 90% threshold were selected as the active years for TCs. The rest are labeled as general years. Based on the three sets of data, the analysis of sea temperature was conducted using a composite analysis method.
3. Characteristics of TC Sources in the Dry Season
TCs that affect Hainan Province predominantly manifest during the rainy season. Extensive research has been conducted on TCs that impact Hainan Province during the rainy season. However, there is a lack of research on TCs in the dry season. Nevertheless, an analysis of the frequency of TCs impacting Hainan Province in each month reveals that the occurrence of such cyclones remains notably high in November and December (
Figure 3).
According to the statistics of TCs affecting Hainan Province in the dry season from 1980 to 2021 (
Table 1), a total of 110 TCs were recorded. TCs mainly occur in November and December, accounting for 82.7%. STYs and super TYs are still possible in November and December. Due to the long time span and the different important influences between months, combining several months for the analysis would cause interference. Therefore, November and December were selected to represent the dry season for our analysis of TCs impacting Hainan Province in order to minimize the distortion of valuable information.
Statistical analysis was conducted on the sources of TCs affecting Hainan Province in November and December between 1980 and 2021. The TCs are primarily found in the South China Sea and the Western Pacific within the geographical coordinates of 5–15° N and 110–157° E (
Figure 4). There were three concentration areas. The first area was the South China Sea area located between 110 and 120° E. The second area was the area east of the Philippines located between 125 and 140° E. The third area was the area east 140° E.
The distribution characteristics of the origins of TCs affecting Hainan Province from November to December indicate that the genesis of TCs typically occurs in regions situated both further south and further west than usual. From a mechanistic standpoint, the possible reason for this is that the subtropical high pressure in the Northwest Pacific Ocean is stronger and further south in November and December. Guided by the east winds on the southern side of the subtropical high pressure, the TCs generated at low latitudes tend to move westward into the South China Sea. In addition, during this season, the SST in low latitude areas is relatively higher than in the northern sea region. This contributes to the formation and growth of TCs.
5. Typical Case Analysis
In 2017, there were more TCs affecting Hainan Province from November to December than the climatological normal. In order to verify the characteristics of the sea surface temperature and atmospheric circulation background of TC affecting Hainan Province from November to December, the SST and circulation background in 2017 was analyzed as an example.
From November to December 2017, there were five TCs affecting Hainan Province, marking the highest number of cyclones ever recorded in its history. The characteristics of the SST in the previous period and the concurrent period of November to December 2017 were analyzed (
Figure 8). The results showed that the characteristics of the SST anomalies in July–December 2017 were similar to those in
Figure 5. In July, the SST over the Northwest Pacific was warmer than the climatological normal (
Figure 8a). In August, the SST over the South China Sea was slightly warmer than the climatological normal, while the SST near the Philippines and in the Northwest Pacific Ocean was warmer than the climatological normal (
Figure 8b). In September, the SST over the South China Sea and the Northwest Pacific was warmer than the climatological normal (
Figure 8c). The SST in the South China Sea, the Northwest Pacific, and the area near the Philippines was warmer than the climatological normal in October (
Figure 8d). During the concurrent period (
Figure 8e), the SSTs in the South China Sea, the Northwest Pacific, and the area near the Philippines were warmer than the climatological normal. The SST in the equatorial Middle East Pacific was significantly colder. From the characteristics of SST in the previous period and the concurrent period in 2017, it can be seen that the SSTs in the South China Sea and the Northwest Pacific were warmer than the climatological normal. There was a good correspondence with the significant correlation between the number of TCs affecting Hainan Province and the SSTs (
Figure 5). The warmer SSTs over the South China Sea and the Northwest Pacific in the preceding time and the concurrent time were conducive to the occurrence and development of TCs affecting Hainan Province from November to December.
Figure 9 displays the 925 hPa wind field anomaly from November to December 2017. The South China Sea was controlled by a cyclonic circulation anomaly, and, east of the Philippines, there was an easterly wind anomaly. There was a wind field convergence over the Philippines, which is an important area for the generation and development of TCs. From the figure, it can be seen that four TCs were generated here. In addition, guided by the easterly winds, they all moved westward and entered the South China Sea.
From the characteristics of the subsurface sea temperature anomaly (
Figure 10), it can be seen that there was a warm layer extant in the Western Pacific, extending to the East–Central Pacific. The main part of the warm layer was located in the subsurface layer at depths of 5–150 m. The warm layer had a wide range. The characteristics were similar to
Figure 7c,d. From the preceding time (
Figure 10a) to the concurrent time (
Figure 10b), the subsurface sea temperature between 120 and 140° E (the main sources of TCs in
Figure 9) at depths of 5–50 m was warmer than the climatological normal, which was conducive to the strengthening of convection and the generation of TCs in theWestern Pacific Ocean from November to December 2017.
To further verify the effectiveness of the SST background on the TCs affecting Hainan Province, it was necessary to analyze another case that was significantly different from 2017. We chose 1993 for analysis, which is a year with five TCs affecting Hainan Province from November to December.
Figure 11 shows the SST anomaly for July to December 1993. From the figure, it can be seen that the SST background was significantly different from 2017. Overall, the SST in the Western Pacific was colder than the climatological normal, while it was warmer in the Middle Eastern Pacific, which has typical El Niño characteristics. The SSTs in the South China Sea, near the Philippines, and in the Northwest Pacific were colder than the climatological normal from July to December, while the SST in the Middle East Pacific was warmer than the climatological normal. Following analysis, it was found that the subsurface SST in November 1993 was also unfavorable for the occurrence of TCs affecting Hainan Province (figure omitted). Based on the previous analysis, the cold SST anomaly in the South China Sea and the Northwest Pacific was not conducive to the occurrence of TCs affecting Hainan Province from November to December.
Figure 12 shows the 925 hPa wind field anomaly from November to December 1993. There was a large-scale cyclonic circulation anomaly in the South China Sea and Western Pacific, with an easterly anomaly in the east of the Philippines. There was a convergence zone near 140° E, where four TCs were generated. The low-level circulation situation was conducive to the strengthening and development of low-level upward movement in the Western Pacific to the South China Sea region, which was conducive to the occurrence of TCs.
Based on the distribution characteristics of SST from November to December 1993, it can be seen that the SST was not conducive to the occurrence of TCs, but the low-level circulation was beneficial. This indicates that an advantageous circulation may also trigger the occurrence and development of tropical cyclones in the case of a disadvantageous SST.
6. Discussion and Conclusions
The sea temperature background of TCs affecting Hainan Province in the dry season was analyzed with typical cases from November to December using the CMA TC data, NCEP/NCAR reanalysis data, JMA SST data, and NCEP subsurface sea temperature data.
The results show that there was a significant positive correlation between the number of tropical cyclones affecting Hainan Province from November to December and the sea surface temperature in the South China Sea and the Western Pacific. The high SST in the South China Sea and Northwest Pacific were favorable for the occurrence and development of TCs. The circulation situation also had a significant impact on TCs during the concurrent period. The wind field promoted the strengthening of upward movement, which was conducive to the occurrence and development of TCs. Additionally, the high subsurface sea temperature in the Western Pacific at the depth of 5–50 m was conducive to the strengthening of convection in the Pacific warm pool and the occurrence of the TCs. Taking 1993 and 2017 as typical cases, the sea temperature backgrounds were analyzed. The SST in 2017 was warmer in the Northwest Pacific and colder in the Middle East Pacific. The background characteristics in 1993 were the opposite. When the sea temperature background in the Northwest Pacific was favorable for the formation of TCs, there would be more TCs affecting Hainan Province. However, the advantageous circulation may also trigger the occurrence and development of TCs in the case of a disadvantageous SST.
It should be pointed out that when studying the sea temperature background of TCs affecting Hainan Province in the dry season, the influence of sea temperature environment was studied by analyzing the correlation between sea temperature environment and frequency of TCs. However, what is the internal mechanism by which sea temperature affects TCs in the dry seasons? How does SST affect the formation and development of dry season TCs by affecting the atmosphere? These issues require further research in the future.