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。     

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。     

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。     

基于微波探测资料的全球大气亮温长期变化趋势研究

本文使用1978—2013年美国大气海洋局NOAA研发的STAR V3.0版本的MSU/AMSUA逐月亮温格点数据,引入集合经验模式分解(EEMD)方法,研究了高空大气亮温的非线性变化趋势,尤其注重亮温气候趋势的时间演变特征,并与传统线性回归(CLR)方法做了对比研究。结果表明,在全球对流层增温、平流层降温的大背景下,基于EEMD的亮温非线性趋势演变特征表现为:近10 a对流层中、高层全球平均增暖趋势放缓,甚至出现轻微的降温趋势;北半球对流层增暖首先出现在北极,随后向低纬度方向延伸。北极对流层增暖向上影响高层大气,最高可以扩展到平流层低层。南半球对流层中低纬度地区受北半球大气影响也出现增温。另外,近10 a南极地区出现显著的独立增温现象。平流层变冷北半球最早从中纬度地区开始发生,变冷逐渐增强的同时向极地和低纬度两侧扩张。南极上空平流层大气早期也出现显著变冷,然而随着2000年以后南极大范围增暖,平流层变冷逐渐转移到中低纬地区。     

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。     

21世纪平流层温度变化和臭氧恢复

温室气体增加和可能的臭氧恢复将是影响21世纪平流层温度变化的两个主要因素。温室气体增加的辐射效应将导致平流层变冷,而臭氧恢复将导致平流层变暖。为探讨平流层温度在这两种相反因素作用下的变化趋势,研究中使用了观测的臭氧和温度资料以及4个有代表性的IPCC-AR4海气耦合的全球环流模式的模拟结果(GISS-ER、GFDL-CM20、NCAR-CC-SM3和UKMO-HadCM3)。观测分析结果表明,在近10年来臭氧柱含量和平流层低层温度均有升高的趋势,平流层中层温度仍然延续20世纪后20年的变冷趋势。IPCC-AR4的模拟结果表明,单纯温室气体增加将造成平流层变冷。可是,在同时考虑温室气体增加和臭氧层恢复的情况下,模拟结果表明平流层中上层仍将维持变冷的趋势,而下层则存在变暖的趋势,但几个模式给出的变暖趋势有差别。UKMO-HadCM3给出的模拟结果是在3种温室气体排放情况下平流层低层均呈现较强的变暖趋势,变暖的层次可达40hPa;GFDL-CM20和NCAR-CCSM3给出的变暖趋势较弱一些,并且变暖主要位于60hPa以下的层次。     

近30a华北地区高空气温时空演变特征

根据华北地区12个探空站近30a(1979-2008年)的各标准等压面月平均气温资料,对该地区高空年、季气温时空演变特征进行了分析。结果表明:华北地区高空年、季平均气温变化均具有非常高的空间一致性,其中冬季的一致性特征最明显;华北地区高空年、季平均气温大致以150-100hPa层为界,以上(平流层下层)和以下(对流层)的气温存在着不同的变化特征:从近地面到200hPa冬(夏)季最低(高),但在年平均气温最低的100-70hPa,气温季节变化位相与对流层相反,50hPa层以上气温的年变化不大;近30a来华北地区对流层中下层的年、季平均气温变化以上升为主,而对流层上层至平流层下层则以下降为主。低层的变暖始于20世纪80年代后期,高层的变冷普遍始于20世纪90年代。     

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。     

近30 a华北地区高空温度时空演变特征

根据华北地区12个探空站近30 a(1979-2008年)的各标准等压面月平均气温资料,对该地区高空年、季气温时空演变特征进行了分析.结果表明:华北地区高空年、季平均气温变化均具有非常高的空间一致性,其中冬季的一致性特征最明显;华北地区高空年、季平均气温大致以150-100 hPa层为界,以上(平流层下层)和以下(对流层)的气温存在着不同的变化特征:从近地面到200 hPa冬(夏)季最低(高),但在年平均气温最低的100-70 hPa,气温季节变化位相与对流层相反,50 hPa层以上气温的年变化不大;近30 a来华北地区对流层中下层的年、季平均气温变化以上升为主,而对流层上层至平流层下层则以下降为主.低层的变暖始于20世纪80年代后期,高层的变冷普遍始于20世纪90年代.     

近66a中国地区对流层顶温度时空变化特征及其与大气臭氧柱总量关系

利用NCEP/NCAR提供的1950—2015年对流层顶温度月平均资料及ECWMF提供的1979—2015年大气臭氧柱总量月平均资料,运用经验正交函数分解方法(EOF),对近66 a中国地区上空对流层顶温度的时空演变特征进行分析,并进一步探讨1979年后对流层顶温度与大气臭氧柱总量的关系。结果表明:(1)中国地区对流层顶温度随纬度升高而升高,呈现明显的纬向分布特征,近66 a对流层顶温度以-0.09℃·(10 a)~(-1)的速率下降。(2)春、冬季对流层顶温度EOF1均表现为南北反位相变化,夏、秋季均表现为全场同位相变化,这种春季与冬季、夏季与秋季主要模态较为一致的时空分布特征与大气臭氧柱总量的季节分布有很好的相关性;除夏季外,其余季节对流层顶温度EOF2表现为弱的南北两端与中部地区反位相变化特征。(3)对流层顶温度与大气臭氧柱总量之间呈显著负相关关系,相关系数为-0.724,大气臭氧柱总量由1990年代中期之前的显著损耗转变为之后的逐渐恢复,对应同期对流层顶温度表现为从偏高到偏低的转变。     

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.     

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     

全球贸易隐含碳变化及其影响分析

基于最新的GTAP8 (Global Trade Analysis Project）数据库,使用投入产出法,分析了2004年到2007年全球贸易变化下南北集团贸易隐含碳变化及对全球碳排放的影响。结果显示,随着发展中国家进出口规模扩张,全球贸易隐含碳流向的重心逐渐向发展中国家转移。2004年到2007年,发达国家高端设备制造业和服务业出口以及发展中国家资源、能源密集型行业及中低端制造业出口的趋势加强,该过程的生产转移导致全球碳排放增长4.15亿t,占研究时段全球贸易隐含碳增量的63%。未来发展中国家的出口隐含碳比重还将进一步提高。贸易变化带来的南北集团隐含碳流动变化对全球应对气候变化行动的影响日益突出,发达国家对此负有重要责任。     

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.     

Retrieval of outgoing longwave radiation from COMS narrowband infrared imagery

Hourly outgoing longwave radiation(OLR) from the geostationary satellite Communication Oceanography Meteorological Satellite(COMS) has been retrieved since June 2010. The COMS OLR retrieval algorithms are based on regression analyses of radiative transfer simulations for spectral functions of COMS infrared channels. This study documents the accuracies of OLRs for future climate applications by making an intercomparison of four OLRs from one single-channel algorithm(OLR12.0using the 12.0 μm channel) and three multiple-channel algorithms(OLR10.8+12.0using the 10.8 and 12.0 μm channels; OLR6.7+10.8using the 6.7 and 10.8 μm channels; and OLR All using the 6.7, 10.8, and 12.0 μm channels). The COMS OLRs from these algorithms were validated with direct measurements of OLR from a broadband radiometer of the Clouds and Earth's Radiant Energy System(CERES) over the full COMS field of view [roughly(50°S–50°N, 70°–170°E)] during April 2011.Validation results show that the root-mean-square errors of COMS OLRs are 5–7 W m-2, which indicates good agreement with CERES OLR over the vast domain. OLR6.7+10.8and OLR All have much smaller errors(～ 6 W m-2) than OLR12.0and OLR10.8+12.0(～ 8 W m-2). Moreover, the small errors of OLR6.7+10.8and OLR All are systematic and can be readily reduced through additional mean bias correction and/or radiance calibration. These results indicate a noteworthy role of the6.7 μm water vapor absorption channel in improving the accuracy of the OLRs. The dependence of the accuracy of COMS OLRs on various surface, atmospheric, and observational conditions is also discussed.