热带海温变化与高原季风发展

利用NOAA长波辐射OLR，NCEP/NCAR再分析格点资料，探讨了热带太平洋、印度洋海温等环境场变化与高原季风发展的联系。揭示了春季孟加拉湾和南海以及西太平洋暖池附近海表增温、赤道东太平洋降温有利于高原夏季风发展。分析了高原季风强弱年同期和前期SST场、风场和OLR场演变特征。结果表明，高原季风强弱年热带环境场存在明显差异。高原夏季风发展时SSTA从春季到夏季, 孟加拉湾经南海到西太平洋SST呈正距平, 赤道中东太平洋SST负距平发展, 表现为La Ni?a特征。反之，高原夏季风减弱时SSTA在孟加拉湾和南海地区SST呈负距平，东南太平洋SST正距平发展。表现为El Ni?o特征。     

南海夏季风爆发与热带海洋海温和大气环流异常变化关系的研究

用合成和相关分析方法及SVD技术研究了南海夏季风爆发早、晚年份4～6月季风建立时期季风环流的异常及其与热带太平洋-印度洋海温的关系。结果表明,南海夏季风爆发与热带大气环流和海温变异密切相关。（1）当热带中、东太平洋—印度洋（主要在西南部）及南海海温低（高）,西太平洋—澳洲邻近海域海温高（低）时,南海夏季风爆发早（晚）。不同区域海温对季风的影响有明显的季节差异,印度洋主要为晚春至初夏（4～6月）,南海为5～6月,而热带太平洋从前冬一直持续到夏季。（2）不同的海温异常产生不同的季风环流型,南海夏季风爆发早、晚年大气环流的异常变化基本相反。南海夏季风的活动主要受印度季风环流变化的影响,与前期冬春季西太副高的强弱及位置变化密切相关。西太副高弱时,南海夏季风爆发早;反之,爆发晚。（3）热带太平洋—印度洋海温异常引起季风环流和Walker环流的异常变化可能是影响南海夏季风爆发早、晚的物理过程。     

春季赤道东太平洋海温异常对东亚大气环流春夏季节演变的影响

利用NCEP高度场、风场及OLR资料，分析了春季赤道东太平洋海温异常对东亚大气环流春夏季节演变的影响，结果表明春季赤道东太平洋海温偏暖年，南海－菲律附近出现异常反气旋，西太平洋副高偏强偏西（副高5月占据南海），南海季风爆发迟；而春季海温偏冷年，南海－菲律宾近出现异常气旋，西太平洋副高偏弱偏东（副高5月东移出南海），南海行风爆发早。数值试验腠季赤道东太平洋海温异常不仅对东亚大气环流春季季节变化有明显影响，而且此影响可持续到夏季。     

2014年春季我国主要气候特征及成因简析

提2014年春季（3-5月）,我国大部气温偏高,与2013年春季并列为1961年以来历史同期第二高值。全国平均降水量较常年同期略偏多,其中东北地区降水显著偏多。分析表明,东北降水偏多时段主要发生在5月2-28日,这期间较强的东北冷涡活动是导致东北地区降水偏多的重要原因,其水汽主要来源于东北冷涡从日本海带来的水汽以及偏强偏西的西太平洋副热带高压（简称西太副高）西侧的转向水汽输送。文章还初步探讨了2014年春末南海夏季风爆发偏晚的可能原因。2014年南海夏季风于6月2候爆发,是历史上南海夏季风爆发最晚年之一。导致其爆发偏晚的直接因素是西太副高在4月下旬至5月底持续偏强偏西。进一步的分析结果表明,西太副高在此期间的偏强偏西可能主要由热带印度洋海表迅速增暖所致。     

热带印度洋海温异常不同模态对南海夏季风爆发的可能影响

热带印度洋海温异常两种主要的模态分别是春季最强的全区一致型海温变化和秋季发展成熟的东西反位相偶极型模态, 本文主要分析了这两种海温模态对当年南海夏季风爆发的不同影响机制。对热带印度洋全区一致增暖和变冷年份的合成分析表明: 热带印度洋的增暖 (变冷) 通过海气相互作用激发印度洋－西太平洋异常的Walker环流圈, 加强 (减弱) 西太平洋副热带高压的强度, 进而有利于南海夏季风爆发的推迟 (提早)。由于热带印度洋全区一致型海温变化滞后响应于前冬ENSO事件, 因此, 作者提出热带印度洋的这种海温模态对维持ENSO对第二年南海夏季风爆发的影响起到了重要的传递作用。作者进一步通过1994年个例研究了热带印度洋偶极型海温模态对南海夏季风爆发的可能影响。1994年的热带印度洋偶极子在初夏就表现出很强的强度, 显著削弱了印度洋的夏季风环流, 尤其是索马里急流和赤道印度洋西风气流的强度。南海上游季风气流的减弱以及热带印度洋异常反气旋的发展阻碍了印度洋西南季风向南海的推进, 从而使得这一年南海夏季风爆发偏晚大约2候。     

前冬印度洋海盆一致模对ENSO衰减期华南春季降水的影响

利用逐月台站观测降水、HadISST1.1海温和ERA5大气再分析资料,研究了前冬印度洋海盆一致模（Indian Ocean Basin,IOB）对华南春季降水（SCSR）与ENSO关系的影响,并分析了IOB通过调控ENSO环流异常进而影响SCSR的可能机制。结果表明:当前冬El Ni?o（La Ni?a）与IOB暖（冷）位相同时发生时,SCSR显著增多（减少）;而当El Ni?o或La Ni?a单独发生而IOB处于中性时,SCSR并无明显多寡倾向。其原因在于,当El Ni?o与IOB暖相位并存时,前冬热带印度洋和赤道中东太平洋均为正海温异常（Sea-Surface Temperature Anomaly,SSTA）,且印度洋SSTA强度可一直维持至春季。在对流层低层,春季赤道中东太平洋的正SSTA激发出异常西北太平洋反气旋（Western North Pacific Anticyclone,WNPAC）。而热带印度洋的正SSTA在副热带印度洋激发出赤道南北反对称环流,赤道以北的东风异常有利于异常WNPAC西伸;赤道以南的西风异常与来自赤道西太平洋的东风异常在东印度洋辐合上升,气流至西北太平洋下沉,形成经向垂直环流,有利于春季WNPAC维持。在对流层高层,印度洋的正SSTA在热带印度洋上空激发出位势高度正异常,随之形成的气压经向梯度加强了东亚高空副热带西风急流,进而在华南上空形成异常辐散环流。WNPAC的西伸和加强可为华南提供充足的水汽,同时高空辐散在华南引发水汽上升运动,共同导致SCSR正异常。而若El Ni?o发生时IOB处于中性状态,El Ni?o相关的SSTA衰减较快,春季WNPAC不显著,SCSR无明显多寡趋势。      

滤除ENSO信号前后夏季热带印度洋海盆尺度海温距平对西太平洋副热带高压的不同影响

使用NCEP/NCAR再分析资料、哈得来海表温度和中国国家气候中心的西太平洋副热带高压（西太副高）特征指数,对比分析了ENSO背景下的夏季印度洋海盆尺度模（Indian Ocean basin mode,IOBM）与独立于ENSO的纯IOBM（pure Indian Ocean basin mode,IOBM_P）对西太副高的影响机理。结果表明,滤除前期ENSO信号后,西北太平洋上为海温负距平,并在其西北侧强迫出Gill型反气旋。另外,印度洋与海洋性大陆间存在西高东低的海温距平梯度,印度洋正、负海温距平激发出的赤道开尔文波影响至海洋性大陆西部地区,强迫出的异常大气环流关于赤道基本对称。加之此时中国南海至西北太平洋地区降水偏弱,潜热释放偏少,从而非绝热冷却,导致西太副高异常偏强、偏南。而在前期厄尔尼诺的影响下,次年夏季印度洋与海洋性大陆地区均有利于出现海温正距平,开尔文波的影响偏强、偏东,强迫出的异常环流偏向北半球,通过“埃克曼抽吸”和非绝热冷却在对流层低层制造出异常负涡度进而影响西太副高,使其明显偏强、偏西、偏南。由于IOBM_P在2和8年周期上对西太副高的影响最明显,而ENSO信号中主要是3—7 a的短周期振荡,因此,ENSO背景下的印度洋变暖对西太副高的遥强迫实际包含了来自热带中太平洋的3—7 a周期信号的滞后影响和印度洋地区局地变化特别是2和8年周期变化的作用。这些结果为人们深入理解西太副高变化规律和做出有效预报提供了线索。      

西太平洋副高与ENSO的关系及其对福建雨季降水分布的影响

用低阶大气环流谱模式就前期冬春季南海-热带东印度洋(10 oN～15 oS, 90～120 o E) 海温异常对南海夏季风的影响进行了数值试验。结果表明, 当南海-热带东印度洋海温异常偏暖时,其南北两侧大气低层出现异常气旋性环流,高层出现异常反气旋性环流,其东西两侧, 在南海-热带西太平洋大气低层出现强大的异常辐合,高层出现强大的异常辐散;在热带西印度洋大气低层为明显的辐散,高层为明显的辐合,得到了与Gill理论相一致的结论。此时大气低层赤道两侧异常气旋性环流阻挡了赤道索马里越赤道SW气流进入南海, 加强了赤道西风, 并明显减弱了澳大利亚越赤道SW气流,菲律宾以东的异常反气旋性环流加强了西太平洋副热带高压, 使其位置偏南偏西, 同时大气高层印度洋上空的异常东风加强了南亚高压, 从而导致南海夏季风强度减弱, 爆发可能推迟。在南海-热带东印度洋海温异常偏冷时,大气低层赤道两侧异常反气旋性环流减弱了赤道索马里越赤道SW气流, 加强了澳大利亚越赤道SW气流,菲律宾东北部的异常气旋性环流不利于其东侧的副热带高压发展, 同时大气高层印度洋上空的异常西风减弱南亚高压强度,有利于南海夏季风加强, 爆发可能提前。     

影响南海夏季风爆发年际变化的关键海区及机制初探

利用1958—2011年NCEP/ NCAR再分析资料和ERSST资料,采用Lanczos时间滤波器、相关分析、回归分析、合成分析和交叉检验等方法,研究了影响南海夏季风爆发年际变化的关键海区海温异常的来源与可能机制。结果表明,前冬(12—2月)热带西南印度洋和热带西北太平洋是影响南海夏季风爆发年际变化的关键海区。冬季热带西南印度洋(热带西北太平洋)的异常增暖是由前一年夏季El Ni?o早爆发(强印度季风异常驱动的行星尺度东-西向环流)触发、热带印度洋(西北太平洋)局地海气正反馈过程引起并维持到春季。冬季热带西北太平洋反气旋性环流(气旋性环流)及印度洋(热带西北太平洋)的暖海区局地海气相互作用使得印度洋(热带西北太平洋)海温异常维持到春末。春季,逐渐加强北移到10 °N附近的低层大气对北印度洋(热带西北太平洋)暖海温异常响应的东风急流(异常西风)及南海-热带西北太平洋维持的反气旋性环流(气旋性环流)异常,使得南海夏季风晚(早)爆发。      

两类ENSO背景下中国东部夏季降水的环流特征及关键系统

利用全国160站逐月降水资料、74项环流指数、HadISST月平均海温资料以及NCEP/NCAR月平均再分析资料,对比分析了两类ENSO事件衰减阶段中国东部夏季降水及相应大气环流的差异,并探讨其可能成因。结果表明:1)EP型El Ni?o(La Ni?a)事件次年夏季,中国东部降水由北至南呈正负正(负正负)的三极型反相分布;CP型El Ni?o(La Ni?a)事件次年夏季,中国东部降水由北至南呈正负(负正)的偶极型反相分布;2)El Ni?o事件次年夏季,西北太平洋副热带高压(以下简称西太副高)及南亚高压均偏强,EP型西太副高偏西、南亚高压偏东,CP型西太副高范围更大、强度更强;La Ni?a事件次年夏季,西太副高及南亚高压强度偏弱,CP型强于EP型但弱于气候平均;3)El Ni?o事件期间西北太平洋上存在异常反气旋,EP型位置偏南,强度更强,持续时间更长,CP型位置偏北,范围更大;La Ni?a事件期间,西北太平洋区域至中国东南部存在异常气旋,EP型异常气旋的强度及范围均不及CP型;4)两类El Ni?o事件期间异常反气旋的差异可能与印度洋海盆增暖及太平洋海温持续性偏冷有关;两类La Ni?a事件期间异常气旋的差异可能由赤道西太平洋海温持续偏暖造成。     

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.     

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.     

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     

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.     

Analysis of Atmospheric Boundary Layer Height Characteristics over the Arctic Ocean Using the Aircraft and GPS Soundings

正ERRATUM to: Atmospheric and Oceanic Science Letters, 4(2011), 124-130 On page 126 of the printed edition (Issue 2, Volume 4), Fig. 2 was a wrong figure because the contact author made mistake giving the wrong one. The corrected edition has been updated on our website. The editorial office is sincerely sorry for any     

Index to Vol.31

正AN Junling;see LI Ying et al.;(5),1221—1232AN Junling;see QU Yu et al.;(4),787-800AN Junling;see WANG Feng et al.;(6),1331-1342Ania POLOMSKA-HARLICK;see Jieshun ZHU et al.;(4),743-754Baek-Min KIM;see Seong-Joong KIM et al.;(4),863-878BAI Tao;see LI Gang et al.;(1),66-84BAO Qing;see YANG Jing et al.;(5),1147—1156BEI Naifang;