大气低频变化对福建前汛期典型持续性暴雨影响

在分析福建前汛期典型持续性暴雨过程大气低频变化特征基础上,建立了福建前汛期典型持续性暴雨大气低频扰动物理概念模型:典型持续性暴雨发生期间,对流层高层朝鲜半岛至渤海湾为低频低压,青藏高原西侧为弱高压,副热带西风急流核位于长江口至东海上空,福建上空为低频辐散区;对流层中层高度场低频分量中高纬度地区若出现贝加尔湖阻塞高压加强型、乌拉尔山及鄂霍次克海双阻塞高压加强型、鄂霍次克海阻塞高压加强型和乌拉尔山阻塞高压加强型4种低频扰动之一,福建上空为低频低值区;对流层低层低频流场福建上空为低频气旋控制,气旋中心位于江南或南海上空,如此高低空低频系统配置将引起异常的低频垂直经向环流,从而导致典型持续性暴雨的形成。     

淮河流域6—7月涝年降水的10~30d低频振荡特征

利用1981—2010年全国753站逐日降水资料,NCEP/NCAR逐日再分析资料和NOAA向外长波辐射资料,通过小波分析和Lanczos滤波的方法,得到淮河流域6—7月涝年降水的10~30 d低频振荡特征并进行了分析。结果表明:(1)淮河流域6—7月涝年降水具有明显的10~30 d周期变化。(2)位于高、低空的低频(10~30 d)反气旋和气旋分别影响南亚高压和西太平洋副热带高压的东西进退,从而影响淮河流域的低频降水强度。(3)在850 h Pa上,南海上空的低频反气旋(气旋)和日本海地区的低频气旋(反气旋)使得淮河流域有(无)冷暖气流交汇,并随着低频反气旋和气旋向东北方向移动,造成淮河地区低频降水发展为活跃(中断)期。(4)在低频降水过程中,低频OLR负(正)值区域发展加强对应淮河流域降水过程加强(减弱),当负(正)值区到达淮河流域时,淮河流域降水到达极端活跃(中断)期。随后低频OLR负(正)值区向东移动,淮河流域低频降水过程向过渡期转变。     

江淮流域梅雨期持续性强降水及其10～30d低频环流特征

利用1961—2010年中国556站的逐日降水资料和NCEP/NCAR逐日再分析资料,采用合成分析等方法探讨了江淮流域梅雨期持续性强降水的低频振荡特征及其发生前后低频大气环流场的演变特征。结果表明,江淮梅雨持续性强降水存在显著的10~30 d低频振荡特征。持续性强降水发生时,江淮流域对流层高层受东海低频反气旋西北部的偏西气流控制,使得南亚高压位置偏东,加强了高层的辐散型流场;对流层中层,中高纬度地区存在"+、-、+"的低频位势高度中心,蒙古低频低压使得极地冷空气易于南侵;对流层低层,江淮流域受低频P-J波列西段的台湾岛低频反气旋影响,并伴随强烈的对流活动,此反气旋使得西太平洋副热带高压向更西的位置伸展;因此低层辐合、高层辐散使得江淮流域表现为强烈的低频上升运动,同时低频水汽从孟加拉湾-南海一带输送到江淮流域,为持续性强降水的发生提供了有利的低频环流条件。另外,在持续性强降水发生前后,低层低频正涡度向北、向西传播,高层低频负涡度向南、向东传播,高低层斜压结构明显,共同作用于江淮流域,维持持续性强降水过程。     

中国东部区域性持续性强降水的低频特征及其海洋热力背景

基于1961-2010年夏半年(4-10月)中国逐日降水观测资料和NCEP/NCAR大气再分析资料,运用Butterworth滤波方法分析了中国低频降水特征、夏半年中国东部不同区域区域性持续性强降水与低频降水的关系,研究了海温对低频降水的影响。结果表明:低频降水贡献大值区位于中国东南部区域,某些年份,10~50天低频降水最大贡献达到40%,多年的平均贡献达到24%;在持续性强降水事件发生年,江淮和江南区域的20~50天的低频降水贡献显著增加,江淮和江南区域持续性强降水发生季节热带西北太平洋海表面温度呈现异常偏高,夏季热带西北太平洋海温异常增暖可能通过影响低频环流导致江淮和江南区域20~50天低频降水贡献的增加,进而增加持续性强降水事件发生的可能性。     

2007年淮河强降水时期低频环流特征

利用NCEP/NCAR再分析资料以及中国气象台站降水资料,研究了2007年夏季淮河流域强降水的低频振荡及其环流特征。结果表明,2007年夏季淮河流域强降水低频振荡的主要周期是10 25天。淮河流域降水强弱与对应低频周期存在联系,降水主要发生在低频周期的正位相时期,而在负位相时期结束或明显减弱。降水的低频变化一方面与副热带高压和南亚高压的低频变化有关,另一方面还受到中高纬度冷空气低频变化的影响。在低频周期的峰值位相,对流层高层出现的低频反气旋使南亚高压偏东,脊线偏北,并有利于西太平洋副热带高压向更西、更北的方向发展,整个对流层垂直方向上有低频的上升运动。中高纬地区出现大片正位势涡度,冷空气的低频活动显著偏强,南下侵入到中国淮河流域的冷空气较多,形成有利于淮河流域强降水的环流场。相反,在低频周期的谷值位相,对流层高层出现的低频气旋使南亚高压偏西,脊线偏南,不利于西太平洋副热带高压向更西、更北的方向发展,整个对流层垂直方向上有低频的下沉运动。高纬度冷空气的低频活动偏弱,南下侵入到中国淮河流域的冷空气也较少,最终形成不利于淮河流域强降水的环流场。     

2019年4月广州白云机场持续暴雨前对流层顶和平流层异常信号分析

利用欧洲中心ERA5再分析资料和广州白云机场自动观测系统降水资料,分析2019年4月白云机场持续暴雨前对流层顶和平流层的信号特征。分析发现,2019年4月中下旬,广州白云机场出现了3次持续时间长、降水量大的持续性暴雨过程,降水较往年同期显著偏多。研究结果表明,3次持续暴雨发生前,对流层顶高度出现了下降,平流层高位涡冷空气入侵,机场上空位涡升高;在环流场中,中低纬地区对流层顶和平流层东风偏强,向北和向下传播,广州白云机场终端区在暴雨发生前西风持续下传;广州白云机场上空暴雨发生前对流层顶至平流层位势高度正异常。暴雨发生前,平流层冷空气高位涡移入、对流层顶下降、西风的下传均有利于持续性暴雨的生成。     

淮河流域夏季旱涝急转的低频环流成因

利用1960 2007年4—8月逐日降水资料挑选了淮河流域各分区旱涝急转事件,分析了旱涝急转夏季,逐日降水的低频振荡特征。结果表明,旱涝急转夏季逐日降水30 60 d周期振荡明显加强,流域大部分地区30—60 d低频振荡的方差贡献与夏季降水量呈正相关,低频方差贡献大(小)对应夏季降水量多(少),并且,相关显著区域位于流域南部。欧亚中高纬度高度场、经向风场的低频位相在少雨、多雨期呈相反纬向分布是造成旱涝急转的环流成因。通过对典型年份分析,给出了低频分布型的形成过程。在少雨期,北半球中高纬度扰动场为4—5波列,从东北大西洋经欧洲和贝加尔湖至东亚太平洋沿岸为"+、-、+、-",与低频位相分布一致。在多雨期,副极地波导从欧洲北部沿急流流向亚洲高纬度地区,并在鄂霍次克海形成强盛的正扰动中心,有利于鄂霍次克海阻塞形势的形成与维持。当中纬度中亚为负扰动中心,印度季风偏弱时,由于下游效应在日本海形成负扰动,导致副热带高压位置偏南。在低纬度孟加拉湾到中国南海对流层高层为负扰动时,中国南海对流活动偏弱。少雨、多雨期的欧亚中高纬度纬向低频环流型实际上反映了副极地、副热带急流罗斯贝波导结构及其传播的异常。     

2002年夏季中高纬大气准双周振荡对华南降水的影响

利用JRA55大气再分析资料和TRMM卫星降水资料,分析了2002年夏季（5~8月）华南地区降水的低频振荡特征,重点揭示了对其影响显著的中高纬大气季节内振荡的环流结构及演变。小波和功率谱分析表明,2002年夏季华南降水表现为主周期为10~30 d的准双周低频振荡。典型低频降水事件及合成分析指出,准双周降水的强（弱）变化除了受低空西北太平洋副热带高压西伸进入（东移退出）南海的影响以外,还显著地依赖于中高纬地区高空大气环流的季节内振荡。在对流层高层,中高纬度地区存在一支自大西洋经欧亚大陆的气旋—反气旋相间排列的低频波列。该波列在欧亚大陆地区向东南传播,当异常反气旋和气旋分别位于青藏高原和华北上空时,这种偶极型环流之间的高空辐散场有利于华南地区上升运动的发展,因而华南降水偏强;反之,华南降水偏弱。研究还表明,低频波列南移造成了对流层异常温度平流和副热带高层异常绝对涡度的变化,使得华南地区上升与下沉运动交替出现以及相应的经向环流圈反转,从而导致华南准双周振荡干湿位相的转换。局地异常感热加热对干湿位相转换也起一定作用。时滞相关分析发现,当青藏高原地区500 hPa位势高度异常场超前于华南异常降水4 d（即位相差为1/4周期）时,二者出现显著正相关,表明青藏高原地区500 hPa位势高度异常对预测华南地区季节内降水变化有潜在的应用价值。     

华北地区冬季持续性异常低温事件与大气低频振荡活动的关系

采用1959—2009年日平均气温观测资料和NCEP/NCAR逐日再分析资料,对华北地区冬季持续性异常低温事件进行了定义,并在此基础上统计分析了该区近50 a来冬季持续性异常低温事件的发生规律及环流特征,然后对华北地区持续性异常低温事件与大气低频振荡之间的关系进行了研究。研究表明,近50 a来华北地区共出现26次持续性异常低温事件;环流场上持续性异常低温过程对应的是乌拉尔山高压脊的建立、发展、消亡以及东亚大槽的维持、加深、减弱过程;同时,分析发现低频波动与持续性异常低温事件密切相关,10~20 d低频环流场上华北、东北地区上空的低频气旋、中西伯利亚的低频反气旋,及30~60 d低频环流场上西西伯利亚附近的低频反气旋及日本海附近的低频气旋是造成持续性异常低温事件的重要低频影响因子,进一步分析发现对流层高层到低层的低频信号主要是由中高纬向低纬且自西向东传播,来影响我国华北地区的。     

华南汛期持续性降水特征及其与30~90 d大气低频振荡的联系北大核心

利用全国756站逐日降水资料以及NCEP/NCAR再分析资料,研究了1961—2011年我国东部汛期持续性降水30~90 d低频变化特征及其与大气低频振荡的联系。结果表明,华南地区降水偏多型是汛期持续性降水低频变化的主导模态。对流层低层位势高度负异常和气旋型环流异常,以及高层略向北偏移的环流异常为华南汛期持续性降水低频变化提供了大尺度形势场。当西太平洋副热带高压脊线维持在22°N附近时,来自孟加拉湾和南海的水汽输送维持了华南地区汛期持续性降水活跃位相,向东北传播的副热带大气低频振荡系统对华南汛期持续性降水具有调制作用。此外,华南汛期降水低频变化还具有南北迁移的经向演变特征。     

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