吉林省40年来气温和降水的变化

选用吉林省有代表性的10个测站，用功率谱方法分析其40年来季节降水和气温趋势变化。结果表明，吉林省气候短周期变化与东亚季风的年际振荡准3.5年（QTO）和准2年（QBO）周期基本是一致的。10年际季节气温变化表明，冬季较50年代明显变暖，升温2℃左右，而夏季升温较弱，但与50～70年代的夏季低温周期相比，80年代以来则进入一个相对暖的周期。夏季副热带季风进退对吉林省的夏季气温和降水影响很大。     

近百年东亚季风长期变化中主周期振荡的奇异谱分析

运用海平面气压场资料，计算１８７３—１９９０年的东亚冬、夏季风强度指数，并利用奇异谱分析方法（ＳＳＡ）对这百年的东亚季风长期变化的周期活动进行了研究。研究表明：东亚冬、夏季风都存在准２ａ（ＱＢＯ）、３—６ａ（ＬＦＯ）的年际振荡，１６—１８ａ（ＩＤＯ）的年代际振荡和长期变化趋势。各振荡分量都具有年代际的差别，这种特征ＱＢＯ表现得最典型。冬季风的ＱＢＯ在１９２０年代前振幅较小，且大约呈现１２ａ的大振幅和６ａ的小振幅波状的周期变化；夏季风的ＱＢＯ振幅变化与冬季风相反，且大约呈现６ａ的大振幅和３ａ的小振幅波状的周期变化。夏季风中的年代际变化影响较小。     

山东夏季高温异常变化特征分析

利用1951-2003年山东省夏季日最高气温资料，分析了山东夏季高温天气的时空分布和变化特征，以及高温异常的年代际振荡。得出：60—80年代，山东省各地夏季高温呈减少趋势，极端高温降低，90年代后有所回升，东部半岛地区回升明显；异常多高温年主要出现在50—60年代，异常少高温年集中在80年代，90年代中后期至今开始转为多高温时期；60年代末70年代初，山东夏季高温发生了一次显著的跃变过程。     

两湖流域雨季降水气候特征分析

利用全国740站日降水资料,采用多种统计学方法,对两湖流域雨季降水特征进行了分析。结果表明:(1)两湖流域年降水序列可分为5个阶段,其中主雨季从4月的第2候开始,持续到7月的第1候。两湖流域雨季较江淮梅雨来得早,持续的时间长。(2)雨季内以出现2个和3个主雨期模态的可能性较大。其中2个主雨期一般出现在5月上、中旬及6月中、下旬,这种模态在上世纪60年代、90年代表现明显;3个主雨期一般出现在4月中旬、5月中下旬到6月初与6月下旬至7月初,该模态在20世纪60年代后期至70年初、80年代中后期表现明显。(3)两湖流域雨季内降水的准双周(10~20 d)、30~60 d低频振荡现象明显。准双周振动在雨季中表现为5个波动,30~60 d振荡表现为3个完整的波动,波峰分别出现4月上旬、5月上旬及6月中旬,与其降水主模态有较好的对应关系。     

中国西北地区降水的演变趋势和年际变化

将 PCA和 SSA相结合 ,分析了中国西北地区降水量的演变趋势和年际变化 ,结果表明 :西北地区的降水变化的主要趋势是 1 960年代初多雨 ,到 1 970年代初演变为少雨 ,1 980年代又多雨 ,1 990年代少雨。这种趋势在陇南和陕西中南部是最显著的 ,天山北麓区也是相对显著区。西北地区降水主要存在准 8.5a、准 3～ 4a和准 5.1 a的甚低频振荡。甚低频振荡在降水中的重要性依次为准 8.5a、准 3～ 4a和准 5.1 a。准 8.5a振荡的振幅要比准 3～ 4a和准5.1 a振荡的振幅变化大。振荡位相在空间的分布并不完全一致。     

黑龙江省40年降水变化

利用1958－2000年地面气象资料分析了黑龙江省年和各季的降水变化。长期趋势分析结果表明，年及夏季降水量呈现东部减少、西部增加的趋势；冬季降水量以正趋势为主，呈现明显增加趋势；春季降水量负趋势占主导地位；秋季降水量除东南部、大兴安岭北部为正趋势外，其他大部分地区为负趋势。降水阶段变化趋势分析与降水强度变化分析表明，黑龙江省夏季降水量伴随60年代中期、70年代末的两次明显转折，夏季降水变化分为3个时段：50年代末至60年代中期（多水期）、60年代中期至70年代末（少水期）、80年代至90年代末（多水期）；80年代以来降水强度出现异常等级频率升高。     

青藏高原气温和降水的年际和年代际变化

通过对青藏高原72个地面气象站1962～1999年的气温和降水变化的分析,以唐古拉山脉为界将高原分为青海区和西藏区,分别考察了两区冬春(上年10月～当年5月)和汛期(当年6月～9月)气温与降水的变化趋势、突变及其周期振荡,得出的主要结论为:近38年(1962～1999)来,青藏高原呈升温趋势,冬春大多数台站的升温率为0.02～0.03 ℃ a-1,汛期大多数台站的升温率为0.01～0.02 ℃ a-1;20世纪80年代以来,高原冬春气温的升温更为强烈,汛期青海区的升温变得强烈,但西藏区反呈微弱降温趋势,降温主要发生在西藏的江河谷地;全球性的1980年左右的暖突变在青藏高原是明显存在的;近38年来,青海区冬春降水和西藏区汛期降水存在相同的相位变化,即20世纪60年代基本偏多,20世纪70年代和20世纪80年代初偏少,20世纪80年代中到20世纪90年代偏多;青海区汛期降水与西藏区汛期降水的变化存在反向的关系,但它的转折点要滞后4～5年,青海区汛期降水20世纪60年代偏少,20世纪70年代和20世纪80年代偏多,20世纪90年代偏少;西藏区冬春降水呈现自己独特的变化,20世纪60年代到20世纪70年代初偏少,20世纪70年代中末期到20世纪90年代偏多;高原气温主要存在准3年、5～8年和准11年的周期振荡,高原降水主要存在3～5年、8～11年和准19年的周期振荡,这些周期振荡在高原气候演变的不同阶段显著性不一.     

大气低频振荡及其与气候异常的关系研究现状

1大气低频振荡的一般概念一些气象因子具有10～90天的准周期变化规律，这种振荡常在30～60天具有较大的振幅，通常将大气中一些气象因子具有的10～20天和30～60天准周期性变化称为大气低频振荡。现在发现具有低频振荡特性的气象因子主要有：纬向风速。气压。云量、降水、南亚季风槽位置、地气系统的射出（外逸）长波辐射等。2大气低频振荡的研究动态七十年代初Madden－J；11tan发现热带岛屿上的风场和地面气压场存在40～50天的准周期性变化，最早提出热带大气低频振荡的现象。此后由于EINino现象和海一气相互作用的深入研究，大气低频振荡…     

中国降水准2年主振荡模态与全球500 hPa环流联系的年代际变化

用近51年(1951～2001年)观测资料,研究太平洋年代际振荡(PDO)冷暖位相中国降水量准2年主振荡型传播特征的差异,并讨论对应的全球500 hPa环流低频波列传播途径的变化及可能原因.同时提出年际振荡强度不稳定指数,讨论了中国降水和全球500 hPa高度准2年周期振荡(QBO)强度时间不稳定的空间分布.通过主振荡型分析(POP)发现,在PDO冷位相(1951～1976年),准2年时间尺度的中国降水POP1的主要活动区域在长江中游地区,对应的500 hPa低频场是大西洋欧亚波列(AEU)和西大西洋遥相关型(WA)以及南太平洋副热带波列(SSP);在PDO暖位相(1977～2001年),POP1的活动区域迅速北移并扩大到整个长江和淮河流域,对应的500 hPa低频场变为欧亚太平洋-南印度洋-南北大西洋波列(EUP-SI-SNA).因此,PDO冷暖位相中影响中国降水准2年主振荡模态的低频波列的传播途径和强度存在显著差异,PDO对中国降水量准2年主振荡型主要模态(POP1)及其伴随的全球500 hPa环流低频波列活动区域的时间变化有重要调制作用,与两个半球中纬度西风气流强度的年代际变化密切相关.由振荡强度时间变化指数分析表明,中国降水QBO强度不稳定区域位于长江中游、长江下游、浙江东部、广东东部、华北地区和青藏高原东北侧附近地区,这些地区降水QBO的强度随PDO位相转变而发生显著的年代际突变.对于全球500 hPa高度,其QBO强度不稳定区域在南太平洋中高纬度、副热带南北大西洋地区和亚洲、北太平洋、北美大陆中高纬度地区、北半球副热带西太平洋地区以及南北半球热带和副热带东太平洋地区,表现为对于赤道的非对称空间分布,特别是南北太平洋热带和副热带地区500hPa环流QBO强度在年代际时间尺度上呈现正负反向变化的空间结构,而且南北极附近地区的QBO强度在PDO暖位相显著增强,反映了全球大气环流QBO强度与PDO相互作用的空间特征.     

近百年全球平均气温年际变率中的QBO长期变化特征

应用奇异谱分析(SSA)方法和奇异交叉谱分析(SCSA)方法，对全球及南北半球近100多年(1856～1997年)逐月地面气温距平序列中的准两年周期振荡(QBO)的长期演变特征进行诊断分析。结果表明:全球平均气温序列蕴含显著的QBO分量，它们与全球气候系统中其他各个子系统所隐含的QBO信号具有各种耦合对应关系，尤其突出地表现在Nino区海温和以SLP序列为代表的全球大气环流系统中QBO信号的耦合对应关系上。而平均气温的QBO的年代际特征及其变率的阶段性，不但表现在振幅上，而且其位相亦很明显。上述特征在全球、两半球具有明显的差异。     

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.     

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.     

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.     

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.