Seasonal Forecasts of Precipitation during the First Rainy Season in South China Based on NUIST-CFS1.0

Current dynamical models experience great difficulties providing reliable seasonal forecasts of regional/local rainfall in South China.This study evaluates seasonal forecast skill for precipitation in the first rainy season(FRS,i.e.,April–June)over South China from 1982 to 2020 based on the global real-time Climate Forecast System of Nanjing University of Information Science and Technology(NUIST-CFS1.0,previously known as SINTEX-F).The potential predictability and the practical forecast skill of NUIST-CFS1.0 for FRS precipitation remain low in general.But NUIST-CFS1.0 still performs better than the average of nine international models in terms of correlation coefficient skill in predicting the interannual precipitation anomaly and its related circulation index.NUIST-CFS1.0 captures the anomalous Philippines anticyclone,which transports moisture and heat northward to South China,favoring more precipitation in South China during the FRS.By examining the correlations between sea surface temperature(SST)and FRS precipitation and the Philippines anticyclone,we find that the model reasonably captures SST-associated precipitation and circulation anomalies,which partly explains the predictability of FRS precipitation.A dynamical downscaling model with 30-km resolution forced by the large-scale circulations of the NUIST-CFS1.0 predictions could improve forecasts of the climatological states and extreme precipitation events.Our results also reveal interesting interdecadal changes in the predictive skill for FRS precipitation in South China based on the NUIST-CFS1.0 hindcasts.These results help improve the understanding and forecasts for FRS precipitation in South China.

THE INTERANNUAL AND DECADAL VARIABILITY OF PRECIPITATION FOR YUNNAN PROVINCE IN RAINY SEASON AND ITS RELATIONSHIP WITH TROPICAL UPPER LAYER TEAT CONTENT

Based on the monthly precipitation data of 126 observation stations from 1961 to 2000 in Yunnan Province, the interannual and decadal variability of precipitation in rainy seasons are studied by using wavelet analysis. It is shown that there is a 2-6 year oscillation at the interannual time scales and a quasi-30 year oscillation at the decadal time scales. These periodic oscillations relate to the distribution of tropical heat content. When the precipitation is much more (less) than normal, the upper seawater is colder (warmer) in almost all the tropical Indian Ocean, and warmer (colder) in the western Pacific as well as colder (warmer) in the eastern Pacific. The key areas of the anomaly heat content distribution that have significant correlation to the Yunnan precipitation in rainy season are in the southern hemispheric Indian Ocean with a dipole pattern in the winter as well as in the deep basin of the South China Sea (SCS) before the Yunnan rainy season begins. Therefore, the anomalous distributions of the heat content in the southern Indian Ocean and the SCS In winter are good indicators for predicting drought or flood in Yunnan Province in the following rainy season.

Reconstruction of the starting time series of rainy season in Yunnan and the evolvement of summer monsoon during 1711-1982

According to the textual research into the historical documents dominated by archives yearly, as well as the verification with several other kinds of data, the later or earlier starting time of the rainy seasons in Yunnan during 1711-1982 has been reconstructed. The analysis indicates that there are obvious fluctuations in the starting date of the rainy seasons in Yunnan in a year or years, and long fluctuation on the decadal scale. The rainy season comes earlier in the early 18th century, later in the 19th century and earlier again in the 20th century. This reflects to a certain degree the gradual change of the summer monsoon in Yunnan. There exists an obvious quasi-3 years cycle, which is related to EI-Nino＇s quasi-3 years cycle, and a 11.3-year cycle which is notably related to the 11-year cycle of the solar activity of starting date of the rainy seasons in Yunnan. Meanwhile, the dissertation finds that the EI-Nino is very important to the starting date of the rainy seasons in Yunnan. The starting date of the rainy seasons in Yunnan often comes later or normally in the year of EI-Nino. However, there is an obvious imperfect period in such influence, which in turn may mean that there is a certain fluctuation in the effect of ENSO on Asian summer monsoon.

INFLUENCES OF LOW-FREQUENCY MOISTURE TRANSPORTATION ON LOW FREQUENCY PRECIPITATION ANOMALIES IN THE ANNUALLY FIRST RAINY SEASON OF SOUTH CHINA IN 2010

85-station daily precipitation data from 1961-2010 provided by the National Meteorological Information Center and the NCEP/NCAR 2010 daily reanalysis data are used to investigate the low-frequency variability on the precipitation of the first rain season and its relationships with moisture transport in South China,and channels of low-frequency water vapor transport and sources of low-frequency precipitation are revealed.The annually first raining season precipitation in 2010 is mainly controlled by 10-20 d and 30-60 d oscillation.The rainfall is more(interrupted) when the two low-frequency components are in the same peak(valley) phase,and the rainfall is less when they are superposed in the inverse phase.The 10-20 d low-frequency component of the moisture transport is more active than the 30-60 d.The10-20 d water vapor sources lie in the South India Ocean near 30° S,the area between Sumatra and Kalimantan Island(the southwest source),and the equatorial middle Pacific region(the southeast source),and there are corresponding southwest and southeast moisture transport channels.By using the characteristics of 10-20 d water vapor transport anomalous circulation,the corresponding low-frequency precipitation can be predicted 6 d ahead.

IMPACT OF SSTA OF SOUTHERN HEMISPHERE ON FLOOD SEASON PRECIPITATION ANOMALIES IN YUNNAN

Based on the reanalysis data of monthly mean global SST and wind from the NCEP/NCAR and the observation data of rain seasons in 124 stations of Yunnan province from 1961 to 2006, we applied the analytical methods of correlation analysis and composite analysis and a significance testing method to two sets of samples of average differences. The goal is to investigate into the influence of the Southern Hemispheric(SH) SST on the summer precipitation in Yunnan from January to May so as to identify the key time and marine regions. Physical mechanisms are obtained by analyzing the influence of sea level wind and the key marine regions on the precipitation during Yunnan's rain season.Results show that there is indeed significant relationship between the SST in SH and summer precipitation in Yunnan.The key areas for influencing the summer precipitation are mainly distributed in a region called "West Wind Drift" in the SH, including the Southeast Indian, southern Australia, west coast of eastern Pacific off Chile, Peru and the southwest Atlantic Magellan. Besides, the most significant marine region is the west coast of Chile and Peru(cold-current areas of the eastern Pacific). Diagnostic analysis results also showed that monsoons in the Bay of Bengal, a cross-equatorial flow in the Indian Ocean near the equator and southwest monsoon in India weaken during the warm phase of the Peruvian cold current in the eastern Pacific. Otherwise, they strengthen.

Interannual Variation of the Onset of Yunnan’s Rainy Season and Its Relationships with the Arctic Oscillation of the Preceding Winter

Based on an analysis of the circulation in May associated with the interannual variation of the onset of Yunnan’s rainy season, this study examined the rela-tionship between Arctic Oscillation (AO) and the onset timing of the rainy sea-son by using the NCEP/NCAR reanalysis and observational precipitation data for 1961-2010. The results indicated that, on an interannual time scale, intense Asian summer monsoon and an active EU-pattern wave train circulation in its positive phase, associated with a cold cyclonic cell covering the western part of the East Asian subtropical westerly jet (EASWJ), jointly contributed to the onset of the rainy season in May. Otherwise, the onset might be suppressed. The cold cyclonic cell over East Asia likely led to the southward shift and enhancement of EASWJ as well as its secondary circulation around the jet entrance, which could provide a favorable dynamic and thermal condition for rainfalls in Yunnan as was revealed in previous studies on 10 - 30-day time scale. Further examination showed that the preceding wintertime AO played a significant role in the timing of the onset of the rainy season before the mid-1980s’ by mostly modulating the wave-train-like circulation over East Asia in May. During that time period, when the AO index of the previous winter was positive (negative), Yunnan’s rainy season tended to begin earlier (later) than normal. Correspond-ingly, the precipitation in May was also closely linked to wintertime AO.

Analysis on the Precipitation Characteristics in the Rainy Season in Liupanshui City in Recent 50 Years

[Objective] The research aimed to study the variation rule of precipitation in the rainy season in Liupanshui City in recent 50 years. [Method] Based on the monthly precipitation data from three observatories (Liuzhi, Panxian and Shuicheng) of Liupanshui City from May to September during 1960-2009, the interannual, interdecadal variation and mutation characteristics of precipitation in the rainy season in Liupanshui City in recent 50 years were analyzed by using the linear tendency estimation, sliding T-test and Morlet wavelet analysis method. [Result] The rainfall in the rainy season in Liupanshui City in recent 50 years presented the decline trend, and the linear tendency rate was -15.4 mm/10 a. The precipitation in the rainy season in Liupanshui City had the obvious interannual and interdecadal variation characteristics. It was the obvious rainless period in the metaphase of 1960s, and the precipitation was comparatively more in late 1960s. It was the relatively rainless period in the whole 1970s. From late 1970s to late 1980s, the precipitation in the rainy season entered into the pluvial period, and it was the period when the precipitation was the most in recent 50 years. The precipitation was relatively less from late 1980s to metaphase of 1990s. It was the pluvial period in the middle and late periods of 1990s, and it was the rainless period when entered into the 21st century. The sliding T-test showed that the precipitation mutation point in the rainy season in Liupanshui City in recent 50 years was in 2002. The wavelet analysis showed that the precipitation in the rainy season in Liupanshui City had the significant multiple time scale characteristic. In the interdecadal scale, the precipitation had the significant 16-year periodic oscillation which stably existed in 50 years. In the interannual scale, the precipitation had the quasi-8-year periodic oscillation. [Conclusion] The research provided the scientific basis for the accurate forecast of drought and flood disasters, disaster prevention and reduction in the city.

SSTA SIGNAL CHARACTERISTIC ANALYSIS OVER THE INDIAN OCEAN DURING RAINY SEASON IN CHINA

The teleconnection distribution characteristics of sea surface temperature (SST) over the India Ocean and the precipitation during rainy season in China were studied by using the methods of EOF and CCA. The results indicate that the change of SST field will affect the change of rain belt during rainy seasons in China, and greatly affect the precipitation in northwest and southwest China, the Yangzi and Yellow River downstream basins. Strong signal phenomena of SSTA over India Ocean were revealed that showed the anoma-lous distribution of drought and flood in China. It shows that the precipitation during rainy seasons in China may be forecast by analyzing SST distribution characteristics over the India Ocean.

Spatiotemporal variation of rainy season span and precipitation recorded by lacustrine laminated pollen in the Tibetan Plateau during the past two millennia

The quantitative reconstruction of the length of the rainy season and precipitation on the Tibetan Plateau(TP) is crucial for revealing the spatiotemporal evolution of the Westerlies and Asian summer monsoon, as well as its ecological and environmental effects. Accurately determining the start and end times of the rainy season on the Plateau remains challenging.This study determined the start and end times of the rainy season in different locations on the Plateau by identifying precipitation inflection points. We calculated the duration and precipitation amount of the rainy season and established a transfer function between the modern pollen assemblages and them. Then, we reconstructed the rainy season variations in Kusai Lake(northern TP) and Jiang Co(central TP) during the past two millennia. The results showed that, the rainy season precipitation in Kusai Lake recorded five periods of high precipitation: AD 580–680, 1000–1100, 1200–1450, 1550–1780, and 1920–present, corresponding to the stages with long rainy season. The rainy season precipitation sequence in Jiang Co recorded four periods of high precipitation: AD 80–500, 800–950, 1250–1450, and 1780–present, which is consistent with the long rainy season before AD 1000 but unclear afterward. Spatially, rainy season precipitation on the Plateau exhibited four patterns: “wet in both north and south” may be related to abnormally strong summer monsoons;“dry in both north and south” likely associated with weak Westerly wind and weak summer monsoon;“wet in the south and dry in the north” linked to strong summer monsoon and weak Westerly wind;and “dry in the south and wet in the north” connected to weak summer monsoon and strong Westerly wind. This study revealed the spatiotemporal evolution pattern of the rainy season onset and end, duration, and precipitation amount on the Plateau over the past two millennia. It provides natural background support for further understanding the coupling between Westerly wind and Asian summer monsoon.

Spatial-Temporal Distribution of Summer Extreme Precipitation in South China and Response of Tropical Ocean

In the study, the summer extreme precipitation in South China is divided into early rainy season (MJ) and late rainy season (JA). The percentile method (95%) is used to define the extreme precipitation threshold. Based on the international general definition method of extreme precipitation threshold: percentile method (95%), the extreme precipitation thresholds in flood season before and after South China are defined respectively. The total amount and frequency of extreme precipitation in flood season before and after 1979-2014 are calculated in this paper. The change trend of the two indicators is basically the same, and the two indicators have obvious interannual variation and an upward trend. According to the results of wavelet analysis of extreme precipitation frequency, the frequency of extreme precipitation in the first flood season mainly has a period of 3 - 5 years, while the frequency of extreme precipitation in the later flood season has a significant period of 6 - 8 years. The spatial distribution of extreme precipitation before and after the flood season shows that the extreme precipitation in the former flood season is mainly distributed in the central part of Guangdong, the northeast of Guangxi and the western part of Fujian, and the extreme precipitation in the latter flood season mainly occurs in the southern coastal area. The results show that there are different tropical SST regions affecting the extreme precipitation in South China. The former flood season is mainly the tropical Indian Ocean warm SST, and the latter flood season is mainly the tropical Pacific warm SST. The tropical Indian Ocean SST stimulates the anticyclonic anomaly over the South China Sea, which brings the southwest warm and humid air flow into South China, resulting in the increase of extreme precipitation in the first flood season of South China;the tropical Pacific SST stimulates the cyclonic anomaly over the South China Sea, which reduces the water vapor outflow caused by the seasonal northward jump of the subtropical high in South China, resulting in the increase of extreme precipitation in the later flood season of South China.

Simulation and Projection of Changes in Rainy Season Precipitation over China Using the WRF Model

The Weather Research and Forecasting （WRF） model is used in a regional climate model configuration to simulate past precipitation climate of China during the rainy season （May-September） of 1981-2000, and to investigate potential future （2041-2060 and 2081-2100） changes in precipitation over China relative to the reference period 1981-2000. WRF is run with initial conditions from a coupled general circulation model, i.e., the high-resolution version of MIROC （Model for Interdisciplinary Research on Climate）. WRF reproduces the observed distribution of rainy season precipitation in 1981-2000 and its interannual variations better than MIROC. MIROC projects increases in rainy season precipitation over most parts of China and decreases of more than 25 mm over parts of Taiwan and central Tibet by the mid-21st century. WRF projects decreases in rainfall over southern Tibetan Plateau, Southwest China, and northwestern part of Northeast China, and increases in rainfall by more than 100 mm along the southeastern margin of the Tibetan Plateau and over the lower reaches of the Yangtze River during 2041-2060. MIROC projects further increases in rainfall over most of China by the end of the 21st century, although simulated rainfall decreases by more than 25 mm over parts of Taiwan, Guangxi, Guizhou, and central Tibet. WRF projects increased rainfall of more than 100 mm along the southeastern margin of the Tibetan Plateau and over the lower reaches of the Yangtze River and decreased rainfall over Southwest China, and southern Tibetan Plateau by the end of the 21st century.

贵州省汛期降水特征及强降水过程分型研究

【目的】为探究贵州省汛期降水的时空分布特征及演变规律。【方法】利用贵州省81个气象观测站1981—2020年汛期降水资料,采用EOF、REOF及交叉小波分析等方法对贵州省汛期降水时空特征进行分析及强降水过程分型研究。【结果】贵州省1981—2020年汛期平均降水量为924.9 mm,降水量在682.7~1194.1 mm,呈显著上升趋势,上升速率为16.94 mm/10 a。贵州汛期降水大体上呈现西南向东北递减的趋势,强降水过程次数及持续天数分布及波动变化与汛期降水基本一致。【结论】贵州省汛期降水分布不均,具有显著的年代际变化。贵州省汛期强降水空间场主要有全省一致型、东西反向型和南北反向型3种典型模态。经REOF方法可将贵州省细分为3个强降水区域,根据环流场分析,又可进一步划分为东部型强降水(Ⅰ型和Ⅲ型)与西部型强降水(Ⅱ型),各类型强降水落区受500 hPa环流分布情况以及850 hPa水汽来源与强度的影响。

IOD Modoki事件对华南后汛期降水异常的影响及可能机理

利用1979—2019年CN05.1中国区域高分辨率降水格点数据、英国Hadley中心观测海温数据、ERA5逐月大气再分析资料及大气环流模式,研究了华南后汛期期间(7—9月)IOD Modoki事件与华南后汛期降水异常的关系及可能机理。观测资料结果表明,华南后汛期降水异常与热带印度洋中部(东和西部)海温异常呈显著正(负)相关关系,表现为印度洋IOD Modoki或印度洋三极子事件的空间分布型。滤除ENSO信号影响后,华南后汛期降水异常仍和IOD Modoki存在较为密切的联系。IOD Modoki正异常对华南后汛期降水异常的影响有以下途径,一方面,异常水汽从热带印度洋东部向西输送至热带中印度洋后,在北半球受科氏力作用向东输送至华南地区,为华南地区提供了充足的水汽条件,并且对华南地区降水正异常的主要水汽辐合贡献为平均水汽的水平扰动散度项和扰动引起的平均水汽垂直平流项。另一方面,热带东南印度洋海温负异常,通过Mastuno-Gill响应引起对流层低层自热带东南印度洋至热带中印度洋有东南风异常,增强了70°E附近的越赤道气流,在北半球向东输送至西北太平洋,这引起了华南地区对流层低层气旋式环流异常。另外,热带东印度洋对流层低(高)层异常辐散(辐合),华南地区低(高)层异常辐合(辐散)增强了东亚地区的局地Hadley环流,有利于华南地区降水的产生。再者,IOD Modoki引起南亚季风区受异常下沉运动控制,并通过季风-荒漠机制引起副热带北大西洋东部、北非荒漠区及地中海西部周围正涡度异常,激发了沿急流向下游传播的准静止Rossby波,增强了日本海高压异常和华南及邻近地区对流层低层气旋式环流异常。上述原因均有利于华南地区降水的产生,反之亦然。上述结果在数值模式中亦得到了验证。

哈密市伊吾县峡沟水库集水区汛期降水特征

水库对区域经济发展和人民生活都具有重要作用,近年来新疆极端降水频发,对水库安全影响较大,目前针对新疆水库降水的研究较少,不能有效为水资源利用和水库调度等提供科学参考。本文利用伊吾国家气象站1961—2022年逐日降水资料和2009—2022年逐小时降水资料,分析新疆哈密市伊吾县峡沟水库集水区不同时间尺度和不同等级降水的长期变化特征,结果表明:(1)1961—2022年汛期,峡沟水库集水区平均降水量呈弱增加趋势,最大连续无降水日数呈显著增加趋势;总降水日数和最大连续降水日数均呈显著减少趋势,降水量增加,降水日数显著减少,可能导致该区域的降水强度进一步增强。(2)汛期降水以小雨为主,过去62 a,该区域小雨和中雨的日数呈减少趋势,大雨和暴雨的日数呈增加趋势;暴雨雨量占汛期总降水量的比例最高接近50.0%,暴雨雨量增加是峡沟水库集水区汛期降水量增加的主要原因。(3)降水量日变化呈现随降水等级加强,大值时段逐渐前移的特征,即小雨的大值时段出现在下午,中雨在中午,大雨在上午,暴雨在早晨。除暴雨外,其他等级降水频次的高值时段均在白天。各等级降水平均降水强度的日变化曲线均呈多峰型,且差异较大;小雨和中雨的累计降水频次与累计降水量的关系比降水强度更密切,大雨和暴雨的平均降水强度与累计降水量的关系则比累计降水频次更密切。

非典型大西洋尼诺对中国东部前、后汛期降水的影响

采用1979—2020年共42 a的降水观测和再分析资料,使用多变量EOF、傅立叶滤波、线性回归、T-N波通量等方法,研究了非典型大西洋尼诺(Non-Canonical Atlantic Ni1o,NCA)对中国东部夏季前、后汛期降水的影响及物理机制。结果显示,NCA在前汛期引起中国南方降水增加,但在后汛期导致华南沿海地区降水减少而北方降水增加。这是由于在前汛期,NCA的暖海温异常位于热带北大西洋,可通过“风-蒸发-海表温度”正反馈引起拉尼娜,进而激发西北太平洋异常反气旋,其西北侧的异常西南气流有助于将暖湿水汽输送至我国南方,导致前汛期南方降水增加。在后汛期,NCA的暖海温异常南移至赤道大西洋,通过调节沃克环流增强拉尼娜,使得西北太平洋异常反气旋进一步增强并覆盖华南地区,导致华南降水减少而北方降水增加。此外,与NCA相关的东传罗斯贝波列在前/后汛期位于副热带/中高纬地区,其在我国东部引起的环流异常也有助于NCA在前/后汛期影响我国南/北方降水。

厄尔尼诺次年广西前汛期降水量差异成因分析

利用1981年以来广西前汛期降水量、NCEP/NCAR再分析资料、英国Hadley中心海表面温度资料以及国家气候中心的大气环流指数、海温指数和积雪指数等资料,采用合成、相关计算方法,分析了厄尔尼诺次年广西前汛期降水量差异的成因。结果表明,厄尔尼诺次年广西前汛期降水偏多时,500hPa副热带高压更强更大更偏西,乌拉尔山高压脊偏强但东亚槽偏弱,西西伯利亚分裂西风槽东移,引导冷空气主要从西路、中路南下影响广西。外强迫因子中,NINO3.4、IOBW、青藏高原积雪面积和西太副高强度、脊线和西伸脊点正相关,NAT则为反相关;IOBW、SIOD对东亚槽强度作用相反,IOBW正位相有利于东亚槽偏弱,SIOD正值则东亚槽偏强;TIOD、SIOD负值有利于贝湖至巴湖高度值低,不断分裂西风槽东移南下。因而不同的海温关键区分布形态和高原积雪面积配置引起500hPa影响系统的差异,从而造成厄尔尼诺次年广西前汛期降水量的差别。

热带北太平洋海温异常对2018年华南前汛期降水负异常事件的影响

本文利用1979—2018年中国地面气象台站1767个站点降水资料、HadISST海温数据及NCEP/NCAR再分析资料,滤除同期ENSO影响后,分析了2018年华南前汛期降水负异常与热带北太平洋海温异常之间的联系。研究结果显示,2018年华南前汛期降水负异常事件和热带北太平洋(Tropical Northern Pacific,TNP)海温偏暖有关。热带北太平洋海温正异常,通过Mastuno-Gill响应引起西北太平洋气旋式环流异常,中国南海东风异常,减弱了南海夏季风,华南至中国南海地区对流层低层存在异常反气旋环流。水汽存在由中纬度北太平洋经黑潮海区-华南地区-中国南海-菲律宾群岛向热带太平洋的异常输送,且华南地区为水汽的异常辐散区域。另一方面,TNP区域暖海温异常引起了该区域低层异常辐合、高层异常辐散、异常上升运动,使得华南地区高层异常辐合、低层异常辐散、异常下沉运动。这样的环流配置对华南地区降水的产生有不利影响,引起了2018年华南前汛期降水异常偏少。2018年TNP区域暖海温异常引起华南前汛期降水负异常的物理机制还在ECHAM5模式30个成员集合平均的试验结果中得以验证。

夏季热带大西洋海温变化对华南前汛期降水的影响

利用1979~2019年全国160站逐月降水资料、Hadley中心海表面温度资料、NOAA的向外长波辐射资料以及NCEP/NCAR再分析资料,结合相关分析、信息流以及合成分析方法,分析了夏季热带大西洋海温变化对华南前汛期降水的影响。结果表明:前一年夏季热带大西洋海温升高(降低)在一定程度上导致了华南前汛期降水的减少(增多)。关键区(10°S~5°N,35°W~10°E)海温偏暖增强了Walker环流导致赤道太平洋下沉辐散增强,造成赤道中西部太平洋上空的东风异常,在海气相互作用下促进了随后秋冬季La Niña的发展。海温负异常时形势则大致相反,促进了El Niño的发展。冬季太平洋La Niña(El Niño)发展到最盛期,西太平洋的对流增强(减弱)在其北侧低对流层激发出异常气旋(反气旋)。直到第二年的前汛期,仍存在残余的海温异常形势,这一方面使得西北太平洋异常气旋(反气旋)依然维持,有利于西太平洋副热带高压减弱东退(加强西伸),减少(增多)了南海水汽向华南的输送;另一方面有利于热带地区对流活跃(抑制)从而增强(减弱)了局地Hadley环流,造成华南地区为下沉(上升)运动异常,抑制(增强)了对流。除此之外,赤道东太平洋的海温负(正)异常激发了指向北美洲的类太平洋—北美波列,北大西洋的海温异常在其基础上进一步激发了向下游传播的欧亚波列,使得欧亚中高纬呈现负(正)—正(负)—负(正)的位势高度异常特征,不利于(有利于)冷空气南下影响华南,最终造成前汛期降水负(正)异常。

北太平洋海温与广西前汛期降水的联系

利用1979—2019年全国160站逐月降水资料、Hadley中心海温资料、NOAA以及NCEP/NCAR再分析资料,结合相关分析、信息流以及合成分析方法,分析了北太平洋海温异常与广西前汛期降水的同期联系,并初步探讨了前者对后者的影响及可能机制,结果表明:北太平洋关键区海温是广西前汛期降水的显著影响源,海温正位相(负位相)的异常分布在一定程度上导致了广西前汛期降水增多(减少).北太平洋关键区海温变化可以独立于赤道中东太平洋影响前汛期降水,而赤道中东太平洋海温变化可以起到调制作用,增强两者联系.北太平洋为正位相海温异常时,大气为“+-+”的经向三极型位势高度异常响应.与此同时,海温异常激发了向下游中高纬传播的Rossby波列,引起东亚沿岸位势高度正异常和反气旋环流异常.在上述机制下,贝加尔湖高压脊和东亚大槽均显著增强,使得中高纬冷空气更易南下.赤道中东太平洋海温的调制作用体现在对中低纬环流的影响.关键区海温正位相对应于赤道中东太平洋海温偏暖,后者引起局地异常上升运动,减弱Walker环流进而导致赤道西太平洋出现下沉异常,抑制了对流活动,在西北太平洋强迫出异常反气旋,使得副高加强西伸.副高的增强西伸增强了暖湿气流输送,这一方面有利于广西一带的水汽输送,水汽通量辐合增强;另一方面有利于冷暖空气在广西交汇,对流不稳定增强,促进上升运动,最终导致降水增多.北太平洋为负位相时上述异常形势相反,导致降水减少.