玉树站太阳总辐射变化特征及对气候变化的影响

对玉树站1961—2010年实测太阳总辐射资料分析表明,玉树太阳总辐射50年来呈逐渐减少的趋势.方差分析表明,玉树站的太阳总辐射突变点出现在1978年,此前总辐射量呈增加趋势,1978年以后,总体呈减少趋势,太阳总辐射处于相对偏少的时段,突变年后比突变年前平均年总辐射量减少了583.89 MJ/m².玉树各月总辐射减少幅度各不同,8月减少幅度最大,6月减少幅度最小.日照时数的变化趋势与太阳总辐射的变化趋势一致.分析其对气候的影响可知,玉树站总辐射和年平均气温、夏季降水量、年蒸发量均呈负相关.若总辐射减少100 MJ/(m²·a),年平均气温将升高0.03 ℃,5—9月降水量将增加3.0 mm,年蒸发量将增加21.0 mm.     

河西走廊太阳辐射时空分布特征及太阳能资源评估研究

利用1961—2020年河西走廊3个太阳辐射站和19个气象站资料,推算河西走廊各站太阳总辐射量,得出该地区太阳总辐射空间分布和时间变化特征,进一步采用相关系数法分析了太阳总辐射的气候影响因素。结果表明：(1)太阳总辐射空间分布在年及春、夏、秋季呈西北向东南递减,冬季呈西北向东南增加。(2)太阳总辐射在月际和季节分布上呈单峰型,5月最强,12月最弱,夏季最强,冬季最弱。(3)年太阳总辐射呈增加趋势,其线型倾向率为6.3 MJ/(m²·10 a),其中夏、秋、冬季总辐射呈减少趋势,夏季下降最明显,而春季呈明显增加趋势。(4)年、季总辐射都表现出2～3、5～6 a短周期及8～10 a长周期振荡。(5)太阳总辐射量与相对湿度、降水量、总云量、低云量及浮尘、扬沙、沙尘暴日数总体呈负相关,与气温和日照时数呈正相关。(6)河西走廊太阳能资源丰富程度和稳定度表现一致,都呈现为由西北向东南递减的趋势,资源相对丰富的地区稳定度也相对较高。     

成都市太阳辐射时间变化特征及对气候因子的影响

基于成都市1991至2020 年太阳总辐射、直接辐射、散射辐射、气温、蒸发、日照时数等气象资料,采用线性趋势、Maan-KendaⅡ等方法研究太阳辐射的年、月、日变化特征,以及太阳总辐射的变化对气温、蒸发等气候因子的影响。结果表明：太阳总辐射、直接辐射逐年增多趋势明显,线性倾向率分别为29.69、20.25 MJ·m-2/a;太阳总辐射2010 年出现突变,突变年后较突变年前年平均太阳总辐射增多497.22 MJ·m-2。散射系数呈逐年减小趋势,线性倾向率为每10 年减少0.6。太阳总辐射与气温、蒸发、日照时数呈正相关,均通过显著性检验。太阳总辐射每增加10 MJ·m-2/a,年平均气温升高0.006℃,日照时数增加1.7 h,蒸发量增大1.2 mm。对太阳辐射增加的原因分析,人类活动造成的气溶胶含量减少可能是太阳辐射增加的一个原因。     

1961-2010年杭州太阳总辐射及日照时数气候变化

利用1961-2010年杭州站太阳总辐射、日照、降水、云量、水汽压和视程障碍日数资料,采用气候倾向率、突变检测和相关分析等方法,研究了近50 a太阳总辐射和日照时数的变化特征及其成因.结果表明,近50 a杭州年太阳总辐射和日照时数均呈减少趋势,以日照时数下降更明显,其突变年份分别发生在1975和1971年;年太阳总辐射下降主要出现在1961-1992年,1993-2010年呈波动变化,1993年以后未出现明显“变亮期”,而年日照时数在上述两个时段都表现为显著下降趋势,至21世纪00年代降到最低.夏、秋、冬3季太阳总辐射和日照时数趋势变化与年变化基本一致,春季两者在1961-1992年均呈下降趋势,1993年后存在较明显的“变亮期”.降水量、低云量和轻雾日的增加是造成杭州年及夏、秋、冬3季太阳总辐射和日照时数减少的主要原因,春季太阳总辐射的增加则主要与降水量、雨日、总云量和低云量减少关系密切,此外,霾日数变化对日照时数的影响也非常重要.     

近30年南靖县气候变化特征分析

利用南靖站1981～2010年的平均气温、降水量、日照时数和蒸发量,采用回归线性趋势分析、累积距平、信噪比等方法对南靖县近30a的气候特征进行了分析.结果表明：1981～2010年南靖县气温以0.32℃/10a呈显著上升趋势,气温在1997年前后发生突变.降水量以-33.4mm/10a呈减少趋势,但减少趋势并不显著.日照时数以21.7h/10a呈增加趋势,但整体上升趋势也不显著.蒸发量以134.2mm/10a趋势显著增加,在1995年左右发生突变.     

黄土高原地区太阳辐射时空演变特征

利用太阳总辐射和日照时数等资料,获得了计算黄土高原地区日太阳总辐射的统一公式,并进而计算和分析了该区39个站点1961～2000年共40年的月、季、年太阳总辐射的时间序列和空间趋势特征.结果表明,在研究时段内,黄土高原地区年太阳总辐射均值呈明显减少趋势,全区平均每10年减少81.7 MJ·m-2.夏季和冬季太阳辐射减少趋势尤为明显,春秋季下降趋势较微弱;年太阳总辐射仅在陕北、晋北和陇东等个别台站呈微弱增加趋势,其余大部分地区均呈减少趋势,其中山西大部、内蒙南部和河南北部减少趋势最明显.     

南宁太阳总辐射长期变化特征

利用南宁气象站1961-2009年太阳辐射观测资料,运用线性倾向估计、M-K突变检验等方法对近49年来太阳辐射变化的主要特征进行了分析。结果表明,近49年来年太阳总辐射呈弱下降趋势,下降突变点为1964年,线性下降速率为28.9 (MJ/m²) /10a,其中下降主要发生在1961-1992年,1993年后显著增加;春、秋和冬季太阳总辐射变化趋势和全年相似,夏季则呈弱增加趋势。分析表明,总云量和表征气溶胶多少的能见度是影响太阳总辐射变化的主要气象因子。     

博斯腾湖流域气候变化对开都河径流量的影响

利用线性回归分析法、突变检验法等分析博斯腾湖流域1980～2018年的年均气温、年降水量、年蒸发量等气候因子变化趋势和突变现象及其对开都河径流量的影响.结果表明:1980～2018年博斯腾湖流域年均气温呈波动中上升趋势,其变化速率为0.15℃(10a)-1,年降水量则以0.765mm(10a)-1的速率增加,而年蒸发量...     

基于高分辨率格点数据集的中国气温与降水时空分布及变化趋势分析

基于LZU0025高分辨率格点数据集,对1951—2012年中国区域气温和降水量的时空分布特征,以及气候变化趋势进行了初步分析。结果表明:中国的年平均气温自1980年开始显著增暖,年降水量在1960年出现由湿润到干燥的突变。中国的整体降水量变化趋势不如气温的变化趋势具有一致性。中国年平均气温增温趋势为0.26℃/(10a),局部的最大增温趋势超过0.6℃/(10a);中国年降水量减少趋势为6.7 mm/(10a),局部地区的降水减少趋势超过了30 mm/(10a),而有些地区的降水增加趋势却可达30 mm/(10a)。大兴安岭—黄土高原西北缘—黄河长江上游以北—冈底斯山脉东部为大致的平均400 mm等降水量线,可用于划分中国的半干旱与半湿润区。1951—2010年中国400 mm等降水量线位置的年代际变化情况复杂,但总体呈现不断南移的趋势,表明中国干旱、半干旱区面积在不断扩大。     

昌吉市太阳总辐射的气候学计算及其变化特征分析

利用昌吉市1961—1997年的逐日气候资料,对昌吉市1961—1997年多年平均逐日太阳总辐射进行了气候学计算,并分析了其变化特征和变化趋势,结果表明:昌吉市太阳总辐射多年平均年日总量为22.82MJ.m-2.d-1,太阳总辐射在8～9月份最高,12月份最低,昌吉市的太阳总辐射呈逐年下降趋势。     

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.     

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.     

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.     

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。     

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;     

Information for Contributors

正Journal of Meteorological Research is an international academic journal in atmospheric sciences edited and published by Acta Meteorologica Sinica Press,sponsored by the Chinese Meteorological Society.It has been acting as a bridge of academic exchange between Chinese and foreign meteorologists and aiming at introduction of the current advancements in atmospheric sciences in China.The journal columns include Articles.Note and Correspondence,and research letters.Contributions from all over the world are welcome.