2019/2020年冬季我国暖湿气候特征及成因分析

2019/2020年冬季,我国大部分地区气温显著偏高,降水异常偏多,气候总体表现为“暖湿”的异常特征。异常成因分析表明：2019/2020年东亚冬季风强度较常年同期偏弱,西伯利亚高压异常偏弱,季节内冬季风强度阶段性变化特征显著;北极极涡收缩于极地,强度偏强,AO为异常偏强的正位相,乌拉尔山阻塞高压活动偏弱,东亚槽偏弱,欧亚中高纬以纬向环流为主;西太平洋副热带高压强度偏强、位置偏西偏北,印缅槽阶段性活跃,二者有利于太平洋和印度洋水汽向我国输送。受北半球环流异常的影响,我国冬季出现了“暖湿”的异常特征。进一步对东亚冬季风偏弱的可能原因分析表明：2019年秋冬季赤道中太平洋暖海温发展,2019年10月至2020年1月Ni〖AKn~D〗o3.4指数均大于0.5℃,这种类中部型El Ni〖AKn~D〗o海温异常有利于激发偏强、偏北的西北太平洋反气旋,进而抑制了东亚冬季风的发展和南下;此外,冬季北半球极涡收缩于极地,强度偏强,AO持续异常偏强的正位相,均不利于乌拉尔山阻塞高压的发展,且东亚大槽明显偏弱,共同导致了欧亚中高纬地区以纬向环流为主,东亚冬季风偏弱。     

2017/2018年冬季北半球大气环流特征及对我国天气气候的影响

2017/2018年冬季,东亚冬季风强度较常年同期偏强,西伯利亚高压偏强,季内冬季风强弱转换阶段性特征显著。欧亚中高纬以经向环流为主,乌拉尔山高压脊持续发展,东亚槽位置偏西。冬季冷空气过程频繁,受其影响,冬季东北地区气温显著偏低,而高原和西南地区西部异常偏暖。对2017/2018年冬季东亚冬季风偏强的可能原因分析表明,受北太平洋年代际涛动暖位相的调制作用,2017年秋季开始的La Ni〖AKn~D〗a事件对东亚冬季风的影响相对较弱。而冬季北半球极涡持续偏弱,北大西洋海温持续偏暖,中高纬环流系统异常和海温外强迫的共同作用,是东亚冬季风偏强的重要原因。     

2015年西北太平洋热带气旋活动特征及强El Nino现象对其影响的初步分析

通过统计分析,本文研究了强El Ni〖AKn~D〗o年西北太平洋及南海热带气旋（TC）的活动特征并详细分析了造成2015年TC活动的大气环流特征。强El Ni〖AKn~D〗o年上半年TC生成偏多,台风活跃季（6—10月）TC生成偏少,登陆我国TC偏少,TC的生成位置较偏东南,并且台风路径多发生向东北的偏转。2015年生成的TC符合这一规律。El Ni〖AKn~D〗o成熟前赤道西太平洋存在大面积的西风异常,同时El Ni〖AKn~D〗o使得西北太平洋地区对流活动受到抑制,而副热带高压位置偏南,导致热带辐合带（ITCZ）位置偏南,这些因素综合作用导致了2015年台风季TC数量偏少。强El Ni〖AKn~D〗o年台风不但整体强度偏强,个体台风的强度也偏强,这是由于强El Ni〖AKn~D〗o年的副热带高压面积和强度偏小,有利于TC活动的加强。强El Ni〖AKn~D〗o年西北太平洋东南部生成的TC偏多,并且强度偏大;东北部生成的TC偏少。2015年的TC活动特征符合上述规律,生成于我国南海的TC个数少、强度偏小。从路径上来看,2015年台风路径多呈抛物线型,发生了向东北方向的转向,进入我国南海的TC明显偏少,这与副热带高压西伸脊点偏东,西北太平洋上空500 hPa异常的西北气流有关。     

2015年海洋和大气环流异常及对中国气候的影响

对2015年海洋和大气环流异常特征进行分析,讨论这些异常特征对中国气候的主要影响。结果表明:2015年东亚冬季风强度较常年略偏弱,冬季风季内变化特征显著,初冬强度偏强,隆冬和后冬转为偏弱。受其影响,冬季我国大部分地区气温较常年同期偏高,但季内变化显著,初冬冷、隆冬和后冬暖。2015年,赤道太平洋出现了一次超强厄尔尼诺事件,2014年5月至2015年11月厄尔尼诺综合区累计海温指数已达23.0℃,成为历史上最强厄尔尼诺事件。加之,4月以来印度洋一致偏暖模态及偶极模态正位相发展,使得夏季太平洋副热带高压偏强、偏西、偏南,导致我国南方多雨而北方少雨。2015年南海夏季风爆发时间与常年一致,结束偏晚2候,强度偏弱。     

2019年秋季我国气候异常及成因分析

2019年秋季,我国大部地区气温较常年同期偏高,全国平均气温为1961年以来同期第三高;降水空间分布非常不均匀,呈“西多东少、北多南少”的特征。异常成因分析表明,秋季欧亚中高纬度槽脊活动频繁,冷空气势力接近常年同期,西太平洋副热带高压较常年同期偏强偏西偏北,副热带高压西段位于南海西侧上空,有利于西南暖湿水汽向我国西部地区输送,菲律宾东北部为较强的气旋距平环流控制,导致我国南方地区受偏北气流控制,水汽条件偏差。进一步研究表明,海温异常是影响2019年秋季我国气候异常的最主要外强迫因子,2019年7月弱的中部型El Ni〖AKn~D〗o事件结束,秋季海温分布偏向于中部型El Ni〖AKn~D〗o。东亚副热带环流显示出清晰的响应。     

2016/2017年冬季北半球大气环流及对我国冬季气温的影响

2016/2017年冬季(2016年12月至2017年2月),东亚冬季风强度较常年同期异常偏弱,西伯利亚高压偏弱。北极涛动(AO)在冬季以正位相为主。冬季北半球500 hPa高度距平场上,亚洲中高纬地区以纬向环流为主,我国为异常正高度距平控制。受其影响,我国各地气温普遍较常年同期偏高,全国平均气温为-1.5℃,较常年同期(-3.4℃)偏高1.9℃,为1961年以来最暖的冬季。季内各月冬季风指数和西伯利亚高压均偏弱,相应我国气温各月均偏高。冬季风的异常偏弱与夏季北极地区大气环流异常状态有关。2016年夏季北极大气环流的热力和动力状态影响了秋季北极海冰偏少的滞后影响效果,不利于冬季风的偏强。     

2013/2014年东亚冬季风异常偏弱的可能成因

2005年之后东亚冬季风连续7年强度偏强,而2013/2014年冬季,东亚冬季风强度突然由强转弱,原因可能与前期秋季北极海冰的异常有关,受2013年秋季北极海冰异常影响,冬季西伯利亚高压偏弱,进而导致东亚冬季风偏弱以及我国气温偏高。季内,东亚冬季风强度变化显著,前冬偏弱,后冬偏强。受冬季风季节内变化影响,我国前冬暖、后冬冷;此外,前冬暖、后冬冷还受到北太平洋上空阻塞高压的异常活动影响,北太平洋地区的阻塞高压加强西移至日界线以西,导致东亚地区经向型环流加强,改变了前冬以纬向型为主的环流,前冬高纬地区堆积的冷空气向东亚地区侵袭。加之,前冬我国气温偏高,导致后冬我国多地降温显著,气温由偏高转偏低。而阻塞高压的西移可能与平流层环流的异常活动有关。     

2012/2013年东亚冬季风活动特征及其可能成因分析

东亚冬季风目前处于年代际偏强的气候背景下,2012/2013年东亚冬季风强度指数(EAWM)为0.83,连续第六年强度偏强。2012/2013年冬季,北极涛动(AO)指数维持负位相,导致全国平均气温较常年同期略偏低。季内,西伯利亚高压强度变化显著,与之相对应,我国气温季内阶段性变化大,前冬冷、后冬暖。进一步研究表明,前秋北极海冰的大幅偏少是造成东亚冬季风偏强的重要原因,前期海冰范围的减少有利于冬季欧亚大陆北部的海平面气压出现正异常,致使西伯利亚高压的偏强,有利于冷空气南下我国。而西伯利亚高压和东亚冬季风季内变化主要是受平流层环流异常信号影响,1月中旬前后,北半球高纬地区平流层位势高度出现明显正异常并迅速下传影响对流层中低层,造成西伯利亚高压和冬季风季内阶段性偏弱。     

不同PDO位相下El Niño发展年和La Niña年东亚夏季风的季节内变化

基于1957~2017年观测和再分析资料,合成分析了北太平洋年代际振荡(Pacific decadal oscillation,PDO)不同位相下El Ni?o发展年和La Nina年东亚夏季风的环流、降水特征及季节内变化。结果表明,PDO正、负位相作为背景场,分别对El Ni?o发展年、La Nina年东亚夏季风及夏季降水具有加强作用。PDO正位相一方面可增强El Ni?o发展年夏季热带中东太平洋暖海温异常信号,另一方面通过冷海温状态加强中高纬东亚大陆与西北太平洋的环流异常,从而在一定程度上增强了东亚夏季风环流的异常程度;反之,PDO负位相则增强了La Nina年热带海气相互作用以及中高纬环流(如东北亚反气旋)的异常。在季节内变化方面,El Ni?o发展年6月贝湖以东反气旋性环流为东亚地区带来稳定的北风异常,东北亚位势高度减弱;7月开始,环流形势发生调整,日本以东洋面出现气旋性异常,东亚大陆偏北风及位势高度负异常均得到加强;8月,随着东亚夏季风季节进程和El Ni?o发展,西太平洋出现气旋性环流异常,东亚副热带位势高度进一步降低,西北太平洋副热带高压(简称副高)明显东退。La Nina年6月异常较弱,主要环流差异自7月西北太平洋为大范围气旋性异常控制开始,东亚-太平洋遥相关型显著,副高于季节内始终偏弱偏东。上述两种情况下,均造成东亚地区夏季降水总体上偏少,尤其是中国北方降水显著偏少。     

2018年秋季我国气候异常及成因分析

2018年秋季我国气候异常特征总体表现为：气温呈“东高西低”的分布;东部降水呈“南北多、中间少”的分布,其中内蒙古中东部、东北、江南南部和华南大部地区降水异常偏多,而华北至江南北部降水异常偏少,且江南和西南地区降水出现明显的季节内反向分布转变特征。异常成因分析表明,秋季欧亚中高纬度槽脊活动频繁,冷空气活跃,西太平洋副热带高压较常年同期偏强偏西,脊线季节内南北波动较大,西南水汽输送偏强,导致我国东部降水南北多、中间少。进一步研究表明,海温异常是影响2018年秋季我国气候异常的最主要外强迫因子,季节内El Ni〖AKn~D〗o由中部型向东部型发展,热带印度洋海温偶极子正位相持续,副热带南印度洋偶极子正位相发展。秋季后期El Ni〖AKn~D〗o影响增强,东亚副热带大气环流发生明显的季节内响应。因此,El Ni〖AKn~D〗o和印度洋海温的演变及其对东亚环流的影响,加上欧亚中高纬环流异常的季节内调整,二者共同导致了我国南方地区降水出现明显的东西反向的季节内变化。     

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     

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.     

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。     

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.