塔里木灌区近40年来气候变化特征

根据塔里木灌区阿拉尔气象站1961年1月－1999年12月的气温及降水资料，分析了塔里木灌区近40年的气候变化，得出近40年来塔里木灌区降水量呈上升趋势（4．60mm/10年），秋季降水量却呈下降趋势（－3．45mm／10年）；年平均气温呈上升趋势（0．065℃／10年），冬季变暖的趋势（0．849℃／10年）；年平均气温呈上升趋势（－0．171℃／10年）；年极端低温的上升趋势（0．569℃／10年）大于年极端高温的下降趋势（－0．095℃／10年）。可以70年代末为界将近40年塔里木塔区气候分为冷、暖两个阶段，前为冷期，后为暖期。     

西双版纳地区近45年来气候变化特征

根据云南省西双版纳州景洪市气象站1961年1月至2005年1月的气温及降水资料,分析了西双版纳近45年来的气候变化特征,得出近45年来两双版纳年降水量呈下降趋势(-20.72 mm/10a),夏季降水量减少较明显(-24.28 mm/lOa),春季降水量却呈上升趋势(11.18mm/10a);年平均气温呈上升趋势(0.262℃/10a),四季气温也呈上升趋势,尤其是冬季变暖最明显(0.483℃/10a);年极端低温的上升趋势(0.545℃/10a)远远大于年极端高温的下降趋势(-0.088℃/10a).以20世纪70年代末为界将近45年西双版纳气候分为冷、暖两个阶段,前为冷期,后为暖期.     

天峨县近30a降水与气温的气候特征分析

对天峨县气象站1984-2013年降水量、年平均气温、季节降水、季节平均气温、月平均降水量、月平均气温、极端气温变化特征及不同年代降水、气温特征等进行统计分析。结果表明:天峨县近30a年际降水变化呈下降趋势,年际平均气温呈上升趋势,多年平均降水量为1339.3mm,多年平均气温为20.5℃。各季节、各月降水分布不均,气温呈明显的季节划分,夏季(6-8月)平均降水量最多,占全年平均降水量54%,冬季最少,占全年平均降水量5%,月平均降水量最高峰出现在6月;一年最热的月份是7月,极端最高气温变化不大,极端最低气温呈下降趋势。20世纪80年代中后期降水正常略少,90年代属于丰水期,进入21世纪后,降水量偏少,从20世纪80年代中后期一直到21世纪头十年气温呈上升趋势,第二个十年的头4年呈下降的趋势。     

５９型探空仪与Ｌ波段探空仪数据对比分析

本文将长治市划分为南、北、东三部分,并各选取一个代表站,作为研究对象,资料年代为1961年-2005年。将其45年来各气象要素的分析与全球、全国气候变化对比,得出以下变化事实：近40年长治年降水量呈明显下降趋势（-22．53mm／10a）,秋季降水量呈下降趋势（-11．85mm,10a）,冬季降水量呈略微上升趋势。年平均气温呈上升趋势（0．20℃／10a）,特别是20世纪90年代增温显著,尤以冬季增温明显（0．525℃／10a）,夏季气温有略微下降趋势。进入21世纪降水趋于增多,而气温仍趋于增高。统计气温资料表明,20世纪60年代为偏冷期,90年代是最暖的10年,而1998年和1999年是最暖的年份。     

和田河流域气候变化特征分析

利用和田河流域和田市气象站1961-2000年的气温和降水量资料，分析了和田河流域气温和降水量的年代际以及线性趋势变化。分析表明和田河流域气候演变存在非常明显的年际和年代际变化，近40年和田市年平均气温呈上升趋势，倾向率为0．26℃／10a，降水量总体呈增多趋势，其倾向率为1．56mm／10a。20世纪90年代增温十分明显，1999年是近40年来和田河流域最暖的一年。     

基于气象台站的澜沧江上游极端气温与极端降水变化特性研究

基于流域内的3个气象站点1960-2020年逐日最高气温、最低气温和降水量等基础资料,采用线性倾向回归分析法、Mann-Kendall突变检验法和小波分析等方法进行研究,分析和揭示了澜沧江上游流域在时间尺度上的变化。研究结果表明：(1)在1960-2020年,澜沧江上游流域的极端气温暖昼日数(TX90P)和暖夜日数(TN90P)呈显著上升趋势,速率分别为1.6d/10a和2.7d/10a;冷昼日数(TX10P)和冷夜日数(TN10P)呈显著下降趋势,速率分别为1.2d/10a和2.7d/10a,而极端降水变化只有持续湿润指数(CWD)的变化趋势不显著,其余三个降水指标降水总量(PRCPTOT)、1日最大降水量(RX1day)、5日最大降水量(RX5day)都呈显著上升趋势,速率分别为18.8mm/10a、0.5mm/10a和0.8mm/10a。(2)澜沧江上游流域极端气温指数冷昼日数(TX10P)在1992年出现突变点,冷夜日数(TN10P)在1978-1993年间出先了连续突变现象,极端气温指数降水总量(PRCPTOT)在2000年以后发生突变,这也说明了在时间尺度上的变化明显。(3)在1960-2020年,澜沧江上游流域的极端气温和极端降水周期特征变化显著,均存在多时间尺度的特征,第一主周期主要在10-15a、15-20a和25-30a三个时间尺度范围内。     

三江源地区气候变化特征及其影响评估

利用三江源区1961-2020年逐日气象数据、2006-2020年EOS/MODS监测资料,基于概率密度分布函数、线性趋势分析等方法,分析了气温、降水、极端气候指数变化趋势。结果表明：（1）1961-2020年三江源区气温明显向高温方向漂移,年平均、最高和最低气温升温率分别为0.38℃·（10a）^-1、0.28℃·（10a）^-1和0.45℃·（10a）^-1（P<0.01）,最高和最低气温升温幅度存在不对称现象。同时极端气温暖事件（暖昼日数、暖夜日数）明显增多,极端气温冷事件（冷昼日数、冷夜日数）迅速减少。（2）与前一气候态（1961-1990年）相比,1991-2020年平均、最高和最低气温分别上升了1.28℃、1.12℃和1.60℃,且概率密度分布更加扁平,说明气温离散程度更大,气候不稳定性增强。（3）近60年来,三江源区降水量总体呈增多趋势,增加率为10.3 mm·（10a）^-1,且随着降水量级的增加,降水量变化趋势越来越明显。进入21世纪以来,降水增多趋强表现更加明显。（4）在气温显著升...     

陕北地区不同时相TM遥感图像的镶嵌

利用山西省6个有代表性的气象观测站1951年～2000年的气温与降水资料，分析20世纪后半叶山西地区的气候变化，结果表明：山西地区气温呈上升趋势(0．26℃／10a)，特别是90年代增温十分明显，1999年是这50年来最暖的一年。以70年代中期为界，将山西分为冷、暖两个阶段，前期为冷期，后期为暖期。50年来降水量呈明显减少趋势(-15．1mm／10a)。     

近50年阜新地区气候变化特征分析

根据1951—2000年阜新地区气温和降水资料,运用一元回归、相关分析等数理统计方法,对近50 a阜新地区气候变化进行了分析。分析表明:近50 a阜新地区年平均气温呈上升趋势,增温率为0.24℃/10 a,近30 a增温尤其明显。不同季节平均气温的变化趋势与年平均气温变化趋势基本一致,仅冬季平均气温有差异。根据近50 a冷暖波动情况,可将阜新地区划分成2个冷期和2个暖期。近50 a阜新地区年降水量呈下降趋势,递减率为8.009 mm/10 a,但是近30 a降水量呈上升趋势。各季节中夏、秋、冬季降水量呈上升趋势,但春季降水呈下降趋势。近50 a阜新地区降水变化可分为3个多雨期和3个少雨期。     

二连浩特市近50a气温、降水量变化特征分析

文章根据近50a二连浩特市气象基本站1961-2010年的逐月平均气温和降水量资料,对二连浩特市的气温和降水量变化进行了分析.结果表明,近50a来,二连浩特市气温的上升趋势明显,尤其在1989年以后升温更加明显,年平均气温以0.55℃/10a的幅度上升;降水量的变化呈略有下降趋势,以-1.34mm/10a的幅度下降.     

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.     

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.     

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.     

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.     

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;