亚澳"大陆桥"地区降水和对流的季节变化及其与海温的关系

使用日本气象厅提供的1980～1997年TBB资料、NCEP／NCAR40a再分析资料及(2MAP降水资料，分析了亚澳“大陆桥”地区降水和对流活动特征及其影响因子，发现苏门答腊地区降水和对流具有明显的季节变化。4月底～5月初(25候)雨区沿“大陆桥”和中南半岛西海岸迅速北移，对流也有类似特征，正是对流移动的突然加速，对随后中南半岛对流增强有直接影响。进一步研究表明，苏门答腊地区对流的强(弱)与海温异常及纬圈环流的变化相联系，由于正好位于两个热力直接环流(Walker和反Walker)耦合区的苏门答腊地区对流增强，使得垂直环流的上升支增强，导致整个环流强度发生变化，引起赤道西风增强，进而影响中南半岛对流爆发。     

4—5月南亚高压在中南半岛上空建立的年际变化特征及其与亚洲南部夏季风的关系

利用1979--2008年NCEP／NCAR逐日再分析资料和向外长波辐射资料讨论了4-5月南亚高压在中南半岛上空建立的年际变化特征及其与亚洲南部夏季风的关系。发现南亚高压建立偏早年其建立过程时间长,中南半岛高空反气旋环流强,建立开始前位于菲律宾群岛以东洋面上空的反气旋环流中心位置较为偏西;偏晚年南亚高压建立过程时间短,中南半岛高空反气旋环流弱,建立开始前西太平洋上空无闭合的反气旋性环流中心。南亚高压建立的早晚与中南半岛地区对流建立发展关系密切,当中南半岛地区对流建立发展较早时,南亚高压建立较早;反之,对流建立发展偏晚时,南亚高压建立偏晚。南亚高压建立早晚年,亚洲南部夏季风的爆发存在明显差异。南亚高压建立偏早年,孟加拉湾东部一中南半岛夏季风和南海夏季风爆发早;建立偏晚年,孟加拉湾东部一中南半岛夏季风和南海夏季风爆发晚,因此南亚高压在中南半岛上空建立的早晚对后期亚洲南部夏季风的爆发具有较好的指示意义。     

全球海气相互作用关键区及区内气候特征分析

采用合成分析方法研究了南海夏季风的爆发过程及其前期征兆。研究结果表明，在南海夏季风爆发之前，对流首先在中南半岛出现，随后在临近南海夏季风爆发时，菲律宾附近也出现对流活动，这表明菲律宾附近对流活动的出现也是引起南海夏季风爆发的原因之一。在南海夏季风爆发之前，赤道印度洋上（75～95°E）的赤道西风有一次明显的增强过程，它对南海夏季风的爆发也起了十分重要的作用，因为一方面它通过赤道西风的东扩促使南海南部的赤道西风建立和增强；另一方面，它又通过西风的北抬以及激发孟加拉湾的对流扰动发展和北移东传，诱使我国华南沿海西风的增强和南压，从而对南海夏季风爆发产生影响。进一步的研究还表明，印度洋赤道西风和南海南部赤道西风的增强又分别与南半球马斯克林高压、澳大利亚高压的增强以及索马里、85°E附近和105 °E附近向北越赤道气流的增强有关。     

2011年南海夏季风爆发过程及其与长江中下游梅雨的联系

采用NCEP/NCAR再分析资料、FY2E-TBB及台站降水资料,对2011年南海夏季风爆发前后的环流特征进行分析。结果表明:2011年强对流活动由孟加拉湾扩展到南海地区,同时伴随着南亚高压移至中南半岛北部,西太平洋副热带高压向东撤出南海地区,南海夏季风于5月第4候(第28候)爆发;季风爆发后,印度-孟加拉湾季风槽形成,南海地区低空开始盛行西南气流,并伴有对流降水的发展和温、湿等要素的突变。随着季风活动的推进,我国雨带北抬,长江中下游一带进入梅雨期,出现降水大值区。通过分析发现长江中下游梅雨与南海夏季风均受副热带高压影响,且两者的强度为显著的负相关关系,梅雨开始时间与南海夏季风爆发时间呈显著的正相关关系。2011年南海夏季风偏弱,爆发时间偏早,长江中下游梅雨强度偏强,入梅时间异常偏早。     

云导风和TBB在监测南海夏季风爆发中的应用

利用风云静止气象卫星的可见光图像、水汽导风（AMV）、云顶亮温（TBB）和射出长波辐射（OLR）等多种资料,分析了2006—2011年南海及附近区域的对流活动和风场分布,选取110～120 °E,5～20 °N作为气象卫星监测南海夏季风活动的区域。分析表明,近6年间,亚洲夏季风爆发前,多数年份的对流首先在孟加拉湾东南部以及中南半岛南部生成,然后向西和向东扩展,少数年份的对流首先在南海区域活跃;多数年份南海夏季风首先在南海南部爆发,少数年份首先在南海北部爆发。通过对比分析,南海夏季风区域平均TBB<273 Ｋ和OLR<230 W/m2有很好的一致性,但是TBB<273 K滞后于南海夏季风爆发时间,南海夏季风活动期间出现多次TBB高值,经向平均TBB更能显示南海夏季风的爆发特征。南海夏季风区域平均的对流层中高层风场（AMV）由西风转为东风能较好地描述南海夏季风的爆发特征,其转为东风的时间和气候中心确定的南海夏季风爆发时间较吻合。这为利用气象卫星监测南海夏季风活动提供了新方法。      

2007年南海夏季风的爆发过程

利用NCEP/NCAR再分析资料、向外长波辐射(outgoing long-wave radiation,OLR)资料以及卫星、地面站点降水资料,对2007年南海夏季风爆发前后的对流活动、环流形势及降水分布进行研究,结果表明:2007年对流活动增强首先出现在孟加拉湾东岸,然后扩展到南海地区;同时副高东撤北抬,南海夏季风于5月中下旬(29候)爆发;季风爆发后,南海地区开始盛行西南气流,亚洲中低纬地区南北温差(风向切变)由正(负)变负(正).2007年南海夏季风爆发期间,水汽输送和季风涌活动增强使我国东部地区降水增多.     

2004年南海夏季风的爆发及中南半岛陆面-过程的可能影响Ⅱ： 数值试验

在对南海夏季风的爆发及中南半岛陆面过程的可能影响进行了诊断分析的基础上,应用MM5/NOAHLSM模式,研究了中南半岛陆气相互作用对2004年南海夏季风爆发过程的可能影响。结果发现:在南海夏季风爆发前,中南半岛南海地区低层气温差确实出现低值,甚至负值;尽管短期内中南半岛土壤湿度和降水的变化没有引起季风爆发日期的改变,但对季风爆发的强度有影响。土壤湿度和降水变化引起的干异常可导致地表感热通量的增大和地表温度的升高,致使中南半岛与南海之间低层的温差异常(负温差)减小,季风爆发强度减弱;不同的是,湿异常可引起季风爆发强度增强。这一结果说明,在南海夏季风爆发前期,中南半岛上空对流活动和降水异常及其引起的土壤湿度的异常变化在一定程度上会影响到季风爆发的过程。文章还比较了不同温湿地表条件下低层大气状态的差异和地表能量、水分平衡过程的不同,分析了陆气相互作用对季风活动产生影响的物理机制。     

亚洲夏季风爆发的深对流特征

文中应用ＮＯＡＡ卫星反演的１９８０～１９９５年候平均对流层上部水汽亮温（ＢＴ）资料、向外长波辐 射（ＯＬＲ）资料和美国ＮＭＣ全球分析８５０　ｈＰａ风资料与美国ＣＭＡＰ降水资料作了对比分析，发现Ｂ Ｔ能够较好地反映中低纬度地区的深对流降水，偏南风场辐合区与深对流降水有比较一致的 关系，而ＯＬＲ不能反映热带外地区的对流降水。ＢＴ资料所具有的这一特征可以应用于亚洲夏 季风爆发过程的深对流特征分析。ＢＴ描述深对流的临界值是２４４　Ｋ。亚洲季风区是全球深对 流季节变化范围和强度最大的地区。赤道外地区的夏季风爆发可以定义为来自热带地区深对 流的季节扩张。中南半岛上的夏季风对流发生在南海夏季风爆发之前。华南前汛期深对流是 中低纬系统相互作用的结果。第２８候，南海夏季风的突然爆发在降水、风场和卫星反演 的深对流特征上都有明确的反映。南海夏季风爆发后，印度夏季风对流由南向北逐渐爆发， 青藏高原东侧和中国东部沿海的夏季风对流向北推进早于中国中部地区。     

亚洲夏季风建立格局和南海季风爆发特征及其成因初探

使用１９８０￣１９８６年欧洲中期预报中心（ＥＣＭＷＦ）格点资料和１９８０￣１９９２年日本地球静止气象卫星（ＧＭＳ）观测到的黑体辐射（ＴＢＢ）资料，分析了南海季风爆发和亚洲夏季风建立格局及其可能机制。发现亚洲夏季风建立征兆最早出现在中南半岛－南海地区，随后自该地区分别向西、向东扩展；中南半岛地区是东亚季风和印度季风的天然分界线，其两侧夏季风的建立特征和形成机制迥然不同。亚洲夏季风自东向西逐渐建立的格     

南海夏季风爆发与大气对流低频振荡的年际变化

根据1980～1991年云顶黑体温度（TBB）相位和强度的变化确定了南海夏季风爆发的时间,分析研究了夏季风爆发期间TBB场和850hPa风场的变化过程及其与海温的关系。结果表明:南海夏季风爆发平均时间是5月第4候,它爆发的时间和强度有显著的年际变化,并与大气的低频振荡及前期海洋的热力状况有密切关系。南海夏季风爆发早年（4月第6候）,副热带高压较弱,撤离南海较快,从赤道东印度洋到赤道西太平洋,大气对流活动较强,夏季风爆发南海早于孟加拉湾,季风爆发时90～100°E区域过赤道气流显著加强。夏季风爆发晚年（6月第1候）情况相反。南海夏季风爆发早晚与大气30～60天振荡到达南海的位相有关,前冬和早春南海海温的高低和4月中旬至5月中南半岛强对流区的出现时间,是南海夏季风爆发年际变化的前期征兆。根据前冬南海海温预测1998年南海夏季风爆发的时间和强度与实际相符。     

COMPARATIVE ANALYSIS OF VARIOUS DATA OF AIR–SEA TEMPERATURE DIFFERENCE AND ITS VARIATION ACROSS SOUTH CHINA SEA IN THE PAST 35 YEARS

Using the International Comprehensive Ocean-Atmosphere Data Set(ICOADS) and ERA-Interim data, spatial distributions of air-sea temperature difference(ASTD) in the South China Sea(SCS) for the past 35 years are compared,and variations of spatial and temporal distributions of ASTD in this region are addressed using empirical orthogonal function decomposition and wavelet analysis methods. The results indicate that both ICOADS and ERA-Interim data can reflect actual distribution characteristics of ASTD in the SCS, but values of ASTD from the ERA-Interim data are smaller than those of the ICOADS data in the same region. In addition, the ASTD characteristics from the ERA-Interim data are not obvious inshore. A seesaw-type, north-south distribution of ASTD is dominant in the SCS; i.e., a positive peak in the south is associated with a negative peak in the north in November, and a negative peak in the south is accompanied by a positive peak in the north during April and May. Interannual ASTD variations in summer or autumn are decreasing. There is a seesaw-type distribution of ASTD between Beibu Bay and most of the SCS in summer, and the center of large values is in the Nansha Islands area in autumn. The ASTD in the SCS has a strong quasi-3a oscillation period in all seasons, and a quasi-11 a period in winter and spring. The ASTD is positively correlated with the Nio3.4 index in summer and autumn but negatively correlated in spring and winter.     

CHARACTERISTICS AND TRENDS OF CLIMATIC EXTREMES IN CHINA DURING 1959–2014

The spatial and temporal variations of daily maximum temperature(Tmax), daily minimum temperature(Tmin), daily maximum precipitation(Pmax) and daily maximum wind speed(WSmax) were examined in China using Mann-Kendall test and linear regression method. The results indicated that for China as a whole, Tmax, Tmin and Pmax had significant increasing trends at rates of 0.15℃ per decade, 0.45℃ per decade and 0.58 mm per decade,respectively, while WSmax had decreased significantly at 1.18 m·s~(-1) per decade during 1959—2014. In all regions of China, Tmin increased and WSmax decreased significantly. Spatially, Tmax increased significantly at most of the stations in South China(SC), northwestern North China(NC), northeastern Northeast China(NEC), eastern Northwest China(NWC) and eastern Southwest China(SWC), and the increasing trends were significant in NC, SC, NWC and SWC on the regional average. Tmin increased significantly at most of the stations in China, with notable increase in NEC, northern and southeastern NC and northwestern and eastern NWC. Pmax showed no significant trend at most of the stations in China, and on the regional average it decreased significantly in NC but increased in SC, NWC and the mid-lower Yangtze River valley(YR). WSmax decreased significantly at the vast majority of stations in China, with remarkable decrease in northern NC, northern and central YR, central and southern SC and in parts of central NEC and western NWC. With global climate change and rapidly economic development, China has become more vulnerable to climatic extremes and meteorological disasters, so more strategies of mitigation and/or adaptation of climatic extremes,such as environmentally-friendly and low-cost energy production systems and the enhancement of engineering defense measures are necessary for government and social publics.     

IMPACT OF ATMOSPHERIC LOW-FREQUENCY OSCILLATION ON THE IMMIGRATION OF NILAPARVATA LUGENS(STL) IN HUNAN AND JIANGXI PROVINCES

Various features of the atmospheric environment affect the number of migratory insects, besides their initial population. However, little is known about the impact of atmospheric low-frequency oscillation(10 to 90 days) on insect migration. A case study was conducted to ascertain the influence of low-frequency atmospheric oscillation on the immigration of brown planthopper, Nilaparvata lugens(Stl), in Hunan and Jiangxi provinces. The results showed the following:(1) The number of immigrating N. lugens from April to June of 2007 through 2016 mainly exhibited a periodic oscillation of 10 to 20 days.(2) The 10-20 d low-frequency number of immigrating N. lugens was significantly correlated with a low-frequency wind field and a geopotential height field at 850 h Pa.(3) During the peak phase of immigration, southwest or south winds served as a driving force and carried N. lugens populations northward, and when in the back of the trough and the front of the ridge, the downward airflow created a favorable condition for N. lugens to land in the study area. In conclusion, the northward migration of N. lugens was influenced by a low-frequency atmospheric circulation based on the analysis of dynamics. This study was the first research connecting atmospheric low-frequency oscillation to insect migration.     

A COMPARATIVE ANALYSIS OF ATMOSPHERIC AND OCEANIC CONDITIONS BEFORE THE OCCURRENCE OF TWO TYPES OF EL NIO EVENTS

The atmospheric and oceanic conditions before the onset of EP El Ni?o and CP El Ni?o in nearly 30 years are compared and analyzed by using 850 hPa wind, 20℃ isotherm depth, sea surface temperature and the Wheeler and Hendon index. The results are as follows: In the western equatorial Pacific, the occurrence of the anomalously strong westerly winds of the EP El Ni?o is earlier than that of the CP El Ni?o. Its intensity is far stronger than that of the CP El Ni?o. Two months before the El Ni?o, the anomaly westerly winds of the EP El Ni?o have extended to the eastern Pacific region, while the westerly wind anomaly of the CP El Ni?o can only extend to the west of the dateline three months before the El Ni?o and later stay there. Unlike the EP El Ni?o, the CP El Ni?o is always associated with easterly wind anomaly in the eastern equatorial Pacific before its onset. The thermocline depth anomaly of the EP El Ni?o can significantly move eastward and deepen. In addition, we also find that the evolution of thermocline is ahead of the development of the sea surface temperature for the EP El Ni?o. The strong MJO activity of the EP El Ni?o in the western and central Pacific is earlier than that of the CP El Ni?o. Measured by the standard deviation of the zonal wind square, the intensity of MJO activity of the EP El Ni?o is significantly greater than that of the CP El Ni?o before the onset of El Ni?o.     

Could the Recent Taal Volcano Eruption Trigger an El Ni?o and Lead to Eurasian Warming?

正The Taal Volcano in Luzon is one of the most active and dangerous volcanoes of the Philippines. A recent eruption occurred on 12 January 2020(Fig. 1a), and this volcano is still active with the occurrence of volcanic earthquakes. The eruption has become a deep concern worldwide, not only for its damage on local society, but also for potential hazardous consequences on the Earth's climate and environment.     

VARIABILITY OF INTER-ANNUAL RELATIONSHIP BETWEEN INDIAN OCEAN DIPOLE AND HUAXI REGION’S AUTUMN PRECIPITATION

The moving-window correlation analysis was applied to investigate the relationship between autumn Indian Ocean Dipole (IOD) events and the synchronous autumn precipitation in Huaxi region, based on the daily precipitation, sea surface temperature (SST) and atmospheric circulation data from 1960 to 2012. The correlation curves of IOD and the early modulation of Huaxi region’s autumn precipitation indicated a mutational site appeared in the 1970s. During 1960 to 1979, when the IOD was in positive phase in autumn, the circulations changed from a “W” shape to an ”M” shape at 500 hPa in Asia middle-high latitude region. Cold flux got into the Sichuan province with Northwest flow, the positive anomaly of the water vapor flux transported from Western Pacific to Huaxi region strengthened, caused precipitation increase in east Huaxi region. During 1980 to 1999, when the IOD in autumn was positive phase, the atmospheric circulation presented a “W” shape at 500 hPa, the positive anomaly of the water vapor flux transported from Bay of Bengal to Huaxi region strengthened, caused precipitation ascend in west Huaxi region. In summary, the Indian Ocean changed from cold phase to warm phase since the 1970s, caused the instability of the inter-annual relationship between the IOD and the autumn rainfall in Huaxi region.     

ANALYSIS OF “BIMODAL PATTERN” STORM ACTIVITY CHARACTERISTICS OF THE BAY OF BENGAL

Storms that occur at the Bay of Bengal (BoB) are of a bimodal pattern, which is different from that of the other sea areas. By using the NCEP, SST and JTWC data, the causes of the bimodal pattern storm activity of the BoB are diagnosed and analyzed in this paper. The result shows that the seasonal variation of general atmosphere circulation in East Asia has a regulating and controlling impact on the BoB storm activity, and the “bimodal period” of the storm activity corresponds exactly to the seasonal conversion period of atmospheric circulation. The minor wind speed of shear spring and autumn contributed to the storm, which was a crucial factor for the generation and occurrence of the “bimodal pattern” storm activity in the BoB. The analysis on sea surface temperature (SST) shows that the SSTs of all the year around in the BoB area meet the conditions required for the generation of tropical cyclones (TCs). However, the SSTs in the central area of the bay are higher than that of the surrounding areas in spring and autumn, which facilitates the occurrence of a “two-peak” storm activity pattern. The genesis potential index (GPI) quantifies and reflects the environmental conditions for the generation of the BoB storms. For GPI, the intense low-level vortex disturbance in the troposphere and high-humidity atmosphere are the sufficient conditions for storms, while large maximum wind velocity of the ground vortex radius and small vertical wind shear are the necessary conditions of storms.     

LOW-FREQUENCY CIRCULATION AND EXTENDED-RANGE FORECAST IN CONNECTION WITH AUTUMN EXTREME HEAVY RAINFALL PROCESS IN HAINAN

Observed daily precipitation data from the National Meteorological Observatory in Hainan province and daily data from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis-2 dataset from 1981 to 2014 are used to analyze the relationship between Hainan extreme heavy rainfall processes in autumn (referred to as EHRPs) and 10–30 d low-frequency circulation. Based on the key low-frequency signals and the NCEP Climate Forecast System Version 2 (CFSv2) model forecasting products, a dynamical-statistical method is established for the extended-range forecast of EHRPs. The results suggest that EHRPs have a close relationship with the 10–30 d low-frequency oscillation of 850 hPa zonal wind over Hainan Island and to its north, and that they basically occur during the trough phase of the low-frequency oscillation of zonal wind. The latitudinal propagation of the low-frequency wave train in the middle-high latitudes and the meridional propagation of the low-frequency wave train along the coast of East Asia contribute to the ‘north high (cold), south low (warm)’ pattern near Hainan Island, which results in the zonal wind over Hainan Island and to its north reaching its trough, consequently leading to EHRPs. Considering the link between low-frequency circulation and EHRPs, a low-frequency wave train index (LWTI) is defined and adopted to forecast EHRPs by using NCEP CFSv2 forecasting products. EHRPs are predicted to occur during peak phases of LWTI with value larger than 1 for three or more consecutive forecast days. Hindcast experiments for EHRPs in 2015–2016 indicate that EHRPs can be predicted 8–24 d in advance, with an average period of validity of 16.7 d.     

AN ATTRIBUTION ANALYSIS OF CHANGES IN POTENTIAL EVAPOTRANSPIRATION IN THE BEIJING–TIANJIN–HEBEI REGION UNDER CLIMATE CHANGE

Based on the measurements obtained at 64 national meteorological stations in the Beijing–Tianjin–Hebei (BTH) region between 1970 and 2013, the potential evapotranspiration (ET0) in this region was estimated using the Penman–Monteith equation and its sensitivity to maximum temperature (Tmax), minimum temperature (Tmin), wind speed (Vw), net radiation (Rn) and water vapor pressure (Pwv) was analyzed, respectively. The results are shown as follows. (1) The climatic elements in the BTH region underwent significant changes in the study period. Vw and Rn decreased significantly, whereas Tmin, Tmax and Pwv increased considerably. (2) In the BTH region, ET0 also exhibited a significant decreasing trend, and the sensitivity of ET0 to the climatic elements exhibited seasonal characteristics. Of all the climatic elements, ET0 was most sensitive to Pwv in the fall and winter and Rn in the spring and summer. On the annual scale, ET0 was most sensitive to Pwv, followed by Rn, Vw, Tmax and Tmin. In addition, the sensitivity coefficient of ET0 with respect to Pwv had a negative value for all the areas, indicating that increases in Pwv can prevent ET0 from increasing. (3) The sensitivity of ET0 to Tmin and Tmax was significantly lower than its sensitivity to other climatic elements. However, increases in temperature can lead to changes in Pwv and Rn. The temperature should be considered the key intrinsic climatic element that has caused the "evaporation paradox" phenomenon in the BTH region.     

Revisiting the Concentration Observations and Source Apportionment of Atmospheric Ammonia

正While China’s Air Pollution Prevention and Control Action Plan on particulate matter since 2013 has reduced sulfate significantly, aerosol ammonium nitrate remains high in East China. As the high nitrate abundances are strongly linked with ammonia, reducing ammonia emissions is becoming increasingly important to improve the air quality of China. Although satellite data provide evidence of substantial increases in atmospheric ammonia concentrations over major agricultural regions, long-term surface observation of ammonia concentrations are sparse. In addition, there is still no consensus on