北极平流层冬季早期变暖的GCM模拟研究

观测表明北极平流层自20世纪70年代末以来在冬季早期 (11～12月) 存在变暖的趋势。为了验证该趋势是否是由于海面温度 (SST) 升高造成的, 我们使用观测的全球SST强迫一个全球大气环流模式 (AGCM)。集合模拟的结果表明, 在SST强迫下, 北极平流层呈现统计显著的变暖趋势, 极地对流层也有相对较弱的变暖趋势, 但统计显著性较低。通过对模拟的位势高度进行经验正交函数 (EOF) 分析, 我们发现北半球位势高度第一模态 (EOF1) 的空间结构非常类似于北极涛动 (AO) 或北半球环状模 (NAM), 其平流层主分量时间序列在冬季早期呈现统计显著的负趋势。与负的AO趋势相对应的是, 对流层高纬度和平流层中高纬度波动增强, 说明极区变暖是由于波动增强产生的极区绝热加热增强造成的。另外, 模拟的结果还表明北极平流层不仅在冬季早期出现变暖的趋势, 在冬季晚期 (2～3月) 北极平流层低层也出现弱的变暖趋势。SST强迫导致北极平流层冬季变暖不利于异相臭氧化学反应的发生, 这对极地平流层臭氧恢复有着重要意义。     

沿120°E中纬度对流层—平流层下部气候变化及与臭氧变化的联系

利用1958~1995年海拉尔、沈阳、南京三地区地面至30 hPa标准层月平均气温资料,研究了近40年沿120°E、30°~50°N区域气候变率随高度、纬度和季节的分布特征,前、后两个20年气候变率的变动及其与亚欧不同地区臭氧变化的联系。结果指出:近20年来,该区域对流层中下部变暖速率随纬度显著增大,尤其在冬季;200 hPa以上变冷速率亦随高度及纬度显著增大,尤其在冬、春季。而前、后两个20年,高、低层气候变化趋势截然相反,这是一种年代际尺度气候变化。三地区各季节平流层下部变冷率（对流层中下部变暖率）随纬度增高而加大与邻近同纬带地区臭氧减少率随纬度增高而加大的现象基本对应,表明平流层下部因臭氧减少引起的辐射加热减少,可能是支配我国东部平流层下部变冷率（对流层中下部变暖率）随纬度增高而显著加大的一个重要因子。     

近6a东北地区大气臭氧总量变化特征及其与气温的关系

利用TOMS大气臭氧总量格点资料分析了东北地区近6a(1996年8月—2002年7月)臭氧的分布特征、季节变化、变化趋势及其对气温变化的影响,并与1979—1992年的变化情况作了对比分析。结果表明:东北地区处于北半球大气臭氧高值中心的边缘,臭氧总量呈随纬度增加的分布形式,近6a区域年均值为361Du;冬春季总量较大、夏秋季较小,其中8月最小,3月最大;1979—1992年臭氧存在明显的下降趋势(冬季最为显著),下降趋势高纬大于低纬,近6a整个区域没有系统性下降趋势;1979—1992年对流层中下部显著变暖、对流层上层和平流层低层显著变冷,且变暖率与变冷率均随纬度增高而加大,而近6a气温变幅很小,这与臭氧变化趋势基本对应,表明臭氧的辐射加热是影响平流层低层、对流层高层温度场的重要因素,同时它对对流层低层气温的影响值得进一步关注。     

近6 a东北地区大气臭氧总量变化特征及其与气温的关系

利用TOMS大气臭氧总量格点资料分析了东北地区近6a(1996年8月-2002年7月)臭氧的分布特征、季节变化、变化趋势及其对气温变化的影响，并与1979—1992年的变化情况作了对比分析。结果表明：东北地区处于北半球大气臭氧高值中心的边缘，臭氧总量呈随纬度增加的分布形式，近6a区域年均值为361Du；冬春季总量较大、夏秋季较小，其中8月最小，3月最大；1979—1992年臭氧存在明显的下降趋势(冬季最为显著)，下降趋势高纬大于低纬，近6a整个区域没有系统性下降趋势；1979—1992年对流层中下部显著变暖、对流层上层和平流层低层显著变冷，且变暖率与变冷率均随纬度增高而加大，而近6a气温变幅很小，这与臭氧变化趋势基本对应，表明臭氧的辐射加热是影响平流层低层、对流层高层温度场的重要因素，同时它对对流层低层气温的影响值得进一步关注。     

全球平流层下部降温及其对纬向风的影响

利用NCEP/NCAR再分析资料,结合HALOE的臭氧和甲烷卫星观测资料,分析100~50 hPa的平流层下部温度变率及其与微量气体和平均纬向风的关系。结果表明,全球平流层下部大气温度自1948年至今总体呈下降趋势,而近十几年,全球平流层下部温度下降更加显著。热带和低纬甲烷的增长可能是其降温的一个重要原因。此外,由于平流层下部温度变率的经向不均匀性,同时还会引起该地区平均纬向风的变化。     

全球海气系统年代际突变时空特征的模拟评估

文中评估了5个耦合模式对1880年至今全球海气系统的年平均年代际突变时空特征的模拟能力。19世纪80年代—20世纪90年代,评估了耦合模式对海表温度(SST)和海平面气压(SLP)的年代际突变水平分布的模拟能力;20世纪70—90年代,评估了耦合模式对70、80和90年代这3次年代际突变大气的四维时空特征的模拟。结果表明,在上述2个时段中,5个耦合模式对SST场中年代际突变分布最主要的空间分布型——太平洋年代际振荡(PDO)没有抓住,可能导致了对SST年代际突变的空间分布的模拟能力较差,也没有模拟出SLP年代际突变的行星及其以上尺度的空间结构。20世纪70—90年代,在对流层中,UKMO-HadGEM1模式较好地模拟出了70年代的热带地区500 hPa气温和位势高度,80年代极地SLP,90年代南、北副热带气温和500 hPa气温的年代际突变的空间分布。GFDL-CM2.1模式部分模拟出了90年代的SST和500 hPa温度场突变的水平分布。其余模式中也有行星及以上尺度的年代际突变发生,虽然所模拟出来的突变的时间和空间分布与实际差异都较大,但说明这些模式可以模拟出大尺度气候系统年代际突变,其中包含的物理过程还有待于进一步的研究。在平流层,肖栋(2008年)指出1994年平流层的降温突变可能是1991年Pinatubo火山爆发所造成的臭氧减少导致的。其中,GFDL-CM2.1和ECHAM5/MPI-OM模式较好地模拟出了平流层在1994年的降温突变,CCSM3和UKMO-HadGEM1模式部分模拟出了平流层的变冷突变,而FGC)ALS-g1.0模式没有模拟出来。分析表明,这可能是FGOALS-g1.0模式没有考虑火山灰或者臭氧的作用所致。     

Slowing down of the summer Southern Hemisphere Annular Mode trend against the background of ozone recovery

20世纪末期,南半球热带外地区经历了显著的气候变化,包括夏季南半球环状模(SAM)的显著上升趋势,伴随着南极半岛的增暖和别林斯高晋海的海冰融化.这些趋势主要是由20世纪末期南极平流层臭氧消耗所驱动的.本文发现,自2001年左右以来,在南极平流层臭氧恢复的背景下,观测到的夏季SAM的上升趋势已经趋于平缓,验证了前人利用数值模拟预测的夏季SAM上升趋势减缓现象.与SAM在臭氧恢复后趋势只减缓但没有逆转不同,南极地表气温和海冰的趋势发生了逆转.南极半岛由变暖趋势转为降温趋势,别林斯高晋海域的海冰由融化趋势转为增多趋势.     

青藏高原气温变化趋势与同纬度带其他地区的差异以及臭氧的可能作用

利用台站探空观测资料和卫星观测资料,分析了1979—2002年青藏高原上空温度的变化趋势。结果表明:高原地区上空平流层低层和对流层上层的温度与对流层中低层具有反相变化趋势。平流层低层和对流层上层降温,温度出现降低趋势,降温幅度无论是年平均还是季节平均都比全球平均降温幅度更大。高原上空对流层中低层增温,温度显示出增加的趋势,并且比同纬度中国东部非高原地区有更强的增温趋势。对1979—2002年卫星臭氧资料的分析表明,青藏高原上空臭氧总量在每个季节都呈现出明显的下降趋势,并且比同纬度带其他地区下降得更快。由于青藏高原上空臭氧有更大幅度的减少,造成高原平流层对太阳紫外辐射吸收比其他地区更少,使进入对流层的辐射更多,从而导致高原上空平流层低层和对流层上层降温比其他地区更强,而对流层中低层增温更大。因此,高原上空比其他地区更大幅度的臭氧总量减少可能是造成青藏高原上空与同纬度其他地区温度变化趋势差异的一个重要原因。     

南极气候变化的季节特征

利用1962～1993年南极16站地面至30hPa10个标准层上月平均温度、南极臭氧总量以及2800MHz太阳通量资料,采用最大熵功率谱方法,研究了各季中月南极诸高度气候的线性趋势变化、熵谱特征及其可能原因。结果显示:南极平流层气温(臭氧总量)在各月均呈变冷(减少)趋势,10月100hPa气温(臭氧总量)10年的变率最大达-1.8℃(-14.8%).南极对流层气温(2800MHz太阳通量)在各月均呈显著增暖(增强)趋势,1月500hPa气温(太阳通量)10年的变率高达0.4℃(22.1个单位).各月太阳通量均呈显著的3年及9～10年甚低频-年代际周期变化。而对流层850～500hPa气温变化熵谱仅在7月具有相应的特征,南极对流层顶气温在各季中月均无显著的趋势变化及周期性变化。提出南极春季臭氧的显著减少及夏季太阳通量的增强是平流层显著变冷及对流层变暖的重要原因;南极夏季对流层显著增暖导致南极大陆边缘部分冰雪消融,可能是近年来全球海平面升高的重要原因之一。     

南极对流层-平流层下部气候变化特征及其原因

利用南极16站30余年地面至30hPa10层月平均气温距平序列资料,采用最大熵功率谱方法,研究了南极对流层至平流层下部气候变化的长期趋势和周期性特征,并讨论了平流层(对流层)气候变化与南极臭氧总量(南半球500hPa环流)变化之间的联系。指出:南极气温具有明显的长期趋势和周期性变化;平流层下部显着变冷、对流层增暖,变化最大层高度在100、700hPa,最大降冷速率远大于增暖速率,气层稳定度趋于减弱;30、50hPa气温具有准两年周期,100hPa上下具有显着的年周期,对流层是以3.5年甚低频周期为主;对流层顶气温无显着趋势变化和周期性变化;南极最大臭氧层高度显着变冷与近15年来臭氧层损耗有关。南半球对流层中部极涡及绕极气流减弱是南极对流层气候变暖的直接原因。     

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.     

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.     

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.     

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