我国南方洪涝暴雨期西太平洋副高短期位置变异的特点及成因

利用NCEP/NCAR多年逐日再分析资料、美国环境预报中心CMAP (NOAA NCEP Climate Prediction Center Merged Analysis of Precipitation) 候平均降雨量资料以及全国740站逐日降水资料, 对华南前汛期和江淮梅雨期大范围持续性暴雨过程中西太平洋副高短期位置变异的异同及其可能成因进行了分析。结果表明: 华南和江淮大范围持续性暴雨期间, 西太平洋副高位置均比同期气候平均值异常偏南偏西, 且强度偏强。华南暴雨期间, 副高西北侧华南地区以及西侧孟加拉湾地区存在异常强烈的视热源和视水汽汇; 江淮暴雨期间, 副高北侧江淮流域及西侧孟加拉湾地区也存在异常强烈的视热源和视水汽汇。运用全型垂直涡度倾向方程理论, 研究非绝热加热对西太平洋副高短期位置变异的影响, 结果表明: 副高位置的短期变异与非绝热加热场及其配置有密切联系。华南暴雨期间, 副高西北侧边缘的华南地区加热场可在短期内迫使副高东撤南退; 江淮暴雨期间, 副高北侧江淮流域加热场的存在不利于副高北进, 而西侧较远处孟加拉湾热源会诱导副高西伸, 两者的共同作用导致副高在江淮以南维持, 且会明显西伸。     

两次华南持续性暴雨过程中热带西太平洋对流异常作用的比较

利用NOAA的外逸长波辐射资料(OLR)和NCEP/NCAR再分析资料以及华南地区台站降水资料诊断分析了热带西太平洋对流活动在2005年和2006年华南地区持续性暴雨发生的大尺度环流背景上的物理作用.分析表明:2005年6月17～24日华南持续性暴雨过程与热带西太平洋对流的10～25天低频振荡从150 °E附近西传有关,持续性暴雨期间西太平洋副热带高压持续西伸的Gill型环流响应对应于传播到120 °E附近强对流的低频间歇期;2006年5月下旬～6月中旬华南的持续性暴雨可能与热带西太平洋的双热带辐合带(ITCZ)南支对流带异常强盛有关,持续强盛的南支ITCZ使得115～135 °E平均的局地Hadley环流最大上升中心位于0～5 °S,菲律宾海附近区域上升运动的减弱有利于西太平洋副热带高压持续西伸加强.通过比较这两例典型的华南持续性暴雨过程发现,副热带高压在华南地区持续西伸是两次持续性暴雨发生的共同的大尺度环流背景,而热带西太平洋对流活动则通过不同的物理过程影响副热带高压的持续西伸.     

两次华南持续性暴雨过程中热带西太平洋对流异常作用的比较

利用NOAA的外逸长波辐射资料(OLR)和NCEP/NCAR再分析资料以及华南地区台站降水资料诊断分析了热带西太平洋对流活动在2005年和2006年华南地区持续性暴雨发生的大尺度环流背景上的物理作用.分析表明:2005年6月17～24日华南持续性暴雨过程与热带西太平洋对流的10～25天低频振荡从150 °E附近西传有关,持续性暴雨期间西太平洋副热带高压持续西伸的Gill型环流响应对应于传播到120 °E附近强对流的低频间歇期;2006年5月下旬～6月中旬华南的持续性暴雨可能与热带西太平洋的双热带辐合带(ITCZ)南支对流带异常强盛有关,持续强盛的南支ITCZ使得115～135 °E平均的局地Hadley环流最大上升中心位于0～5 °S,菲律宾海附近区域上升运动的减弱有利于西太平洋副热带高压持续西伸加强.通过比较这两例典型的华南持续性暴雨过程发现,副热带高压在华南地区持续西伸是两次持续性暴雨发生的共同的大尺度环流背景,而热带西太平洋对流活动则通过不同的物理过程影响副热带高压的持续西伸.     

2020年6月广西持续性暴雨的天气气候特征

2020年5月30日至6月10日广西出现了大范围持续性暴雨天气过程,造成西江流域部分地区发生洪涝及其衍生灾害.基于广西90个气象观测站降水数据和NCEP/NCAR逐日再分析资料,研究了此次持续性暴雨过程的天气气候特征.结果表明:(1)持续性暴雨期间,西太平洋副热带高压异常偏强、偏西,稳定控制在华南及南海地区,青藏高原上...     

江南南部初夏雨季的降水和环流气候特征

基于1961～2010年气象台站逐日降水资料、同期美国NCEP/NCAR的逐日再分析格点资料,通过气候平均、REOF分析、聚类分析等方法,分析了江南地区初夏降水的地域性和时段性特征,及西太平洋副高和高、低空急流等大气环流的相应演变过程。结果发现:（1）江南南部27.5°～29.5°N存在一个独立于华南前汛期和江淮梅雨的初夏雨季,该雨季平均发生时间为6月11～30日,比江淮梅雨早约8天左右。（2）西太平洋副高的西伸东退是江南南部初夏雨季发生发展的重要环流背景,6月第2候副高发生突变性加速西伸之后雨季开始,雨季期间850 hPa副高西伸脊点基本稳定在最西位置即133°E附近,6月第6候副高东退北抬后雨季结束。（3）低层急流大风带的形成和位置是江南南部初夏雨季阶段的重要动力条件,印度洋和孟加拉湾向东北延伸的低层急流与西太平洋副高西北侧的气流连通形成低层急流大风带,并与北侧上空的高空急流耦合,降水集中区位于低层急流大风带左侧、高空急流入口区右侧。     

1981年7月9-14日四川持续性暴雨分析

1981年7月9—14日岷江、沱江、涪江和嘉陵江流域出现持续性暴雨,并在四川省造成了历史上最严重的洪涝灾害。该文利用逐日降水资料、NCEP/NCAR 2.5°×2.5°逐日再分析资料和日本GMS卫星资料反演的TBB资料进行诊断分析以探讨此次暴雨持续的原因。结果表明:由于对流层低层的暖平流和其他大尺度强迫,高空槽长时间维持在长江上游地区,有利于槽后冷空气下沉南伸,与来自孟加拉湾的暖湿气流在盆地交汇,致使西南涡东移甚慢,于7月11—14日活跃在四川盆地上空。当西南涡沿梅雨锋缓慢东移时,长生命史的中尺度对流系统(MCS)在岷江、沱江、涪江和嘉陵江流域连续多次生消,导致暴雨系统持续维持在这些地区。大尺度的强迫在暴雨区上空产生了大范围持续性的上升运动,而暴雨所需的强上升运动主要由大量局地对流有效位能释放提供。对流层低层持续的水汽辐合和位势不稳定能量的输送则为暴雨的持续提供了充足的水汽和能量。与2004年9月发生在四川盆地东部的严重致洪持续性暴雨比较发现,虽然两次持续性暴雨发生的环流背景不同,但暴雨发生的物理机理一致,暴雨过程中持续性的上升运动均主要由大尺度强迫等引起,而且两次持续性暴雨的发生均与来自孟加拉湾的强水汽输送有关。     

2005年6月华南暴雨的气候背景

2005年6月18～25日,广东、广西等华南地区出现了大范围的持续性暴雨和特大暴雨天气.研究此次暴雨的同期和前期气候背景发现,暴雨同期：⑴南海夏季风已全面爆发,热带对流活动加强并北上,将充沛的水汽输送到华南;⑵副高脊线比同期气候平均脊线偏南而且稳定少动,有利于华南降水的发生.暴雨前期：⑴2004年冬～2005年春,青藏高原积雪偏多,有利于2005年6月华南降水偏多;⑵2004年6～8月赤道西太平洋的海温异常偏低,为2005年6月华南降水异常偏多创造了前期气候条件.     

江淮流域持续性强降水期间西太副高位置变异与非绝热加热的关系

采用NCEP/NCAR逐日再分析资料及全国740站逐日降水资料,讨论了江淮流域持续性强降水期间西太平洋副高位置变动特征及其与非绝热加热的关系.通过个例合成研究发现:副高位置变异与强降水持续期间大气非绝热加热关系密切.强降水持续期间,副高北侧的江淮流域和西侧的孟加拉湾北部地区均存在强烈的视热源和视水汽汇.强降水发生前3 ...     

华南前汛期持续性暴雨统计特征及环流分型研究

利用1961—2013年华南区域305个国家级气象台站日降水资料、1980—2013年5—6月NCEP/CFSR再分析资料(分辨率0.5×0.5)等,定义华南前汛期持续性暴雨和暴雨持续日数,分析近53 a华南前汛期持续性暴雨特征及其大尺度环流形势;归纳有利于华南前汛期持续性暴雨发生的4种典型环流类型。结果表明:(1)华南前汛期持续性暴雨过程主要集中在5—6月,并存在准20 a振荡周期;1960年代前半段6月暴雨次数多,1960年代末期到1980年代5月暴雨次数明显增加,1990年代至2013年暴雨主要出现在6月,2006年后5月暴雨次数逐渐增加;暴雨过程持续日数一般3~4 d,超过10 d以上的单次过程仅4次。(2)华南前汛期持续性暴雨分为东亚槽底型、两脊一槽型、多涡旋型和纬向型,东亚槽底型和两脊一槽型次数相对较多,主要发生在5月下旬—6月下旬;纬向型次数最少,主要在5月上旬—6月初。(3)各型持续性暴雨过程500 h Pa中高纬地区环流特征各异,其共性是均有利于北方冷空气南下影响华南,低纬地区西太平洋副热带高压(副高)和孟加拉湾南支低槽维持少动,低层850 h Pa华南盛行西南暖湿急流;持续10 d左右的暴雨过程相较持续3~5 d的暴雨过程,副高位置偏西偏强,华南上空多短波槽活动,850 h Pa西南季风气流位置偏西偏北、风速偏大。     

大尺度环流的年代际变化对初夏华南持续性暴雨的影响

利用1961-2010年中国逐日降水数据和NCEP/NCAR逐日再分析资料集,研究了大尺度环流的年代际变化对不同频发年代华南持续性暴雨的影响。结果表明,虽然过去50年里华南持续性暴雨的发生存在两个频发时段(20世纪60年代中期到70年代中期、20世纪90年代初到2010年),其典型环流配置都表现为中高纬度冷空气和低纬度充沛水汽的配合,但不同频发时段的大尺度环流配置明显不同,这种配置使得两个频发时段的暴雨发生特点有所不同,最近20年的暴雨发生次数更多,强度更强,持续时间更长。在频发的1964-1976年,高纬度的冷空气主要来自西西伯利亚上空深厚的低槽前部,而此时南亚高压偏弱,西太平洋副热带高压偏弱、偏东,低纬度的水汽主要来自孟加拉湾印缅低压槽前,可降水量偏小,但垂直速度较大,水汽辐合较旺盛,华南上空大气环流较不稳定;在频发的1991-2010年,鄂霍次克海上空附近的高压脊活跃,高纬度冷空气主要来自高压后部,低纬度西太平洋副热带高压偏强,位置偏西,其西北侧的水汽源源不断输送到华南上空,故可降水量增多,伴随着强大的南亚高压提供的良好的高层辐散条件,华南上空垂直速度增大,水汽辐合明显,强有利的环流配置导致1991-2010年华南持续性暴雨强度更大、范围更广。因此,大气环流的年代际转型使得华南持续性暴雨发生了巨大改变,故在未来做预测时应充分考虑不同年代际环流背景场对华南持续性暴雨的重要影响。     

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