平流层爆发性增温期间中高层大气行星波研究进展

极区平流层爆发性增温（SSW）是冬季半球最剧烈的大气扰动现象之一. SSW期间温度和风场的剧烈变化被认为是冬季半球中高层大气波动能量异常增强的主要原因.流星雷达是能够稳定连续探测中间层和低热层风场的重要地基探测设备.主要依托国家重大科技基础设施建设项目：“子午工程”,我国已建设了多个流星雷达观测台站,对中间层和低热层风场进行了长期稳定连续的监测,为揭示SSW期间中间层和低热层波动异常变化的物理机制提供了重要的观测资料.本文简述了近年来以我国“子午工程”流星雷达监测数据为核心,SSW期间中高层大气行星波的研究进展和成果;深入讨论了冬季半球中高层大气行星波发生异常变化的主要激发机制.随着“子午工程”二期十个流星雷达台站即将建成,本文对利用“子午工程”流星雷达监测台网进一步研究SSW期间中高层大气波动的变化特性进行了展望.     

ENSO对平流层气溶胶分布的影响

本文采用ONI(Oceanic Nino Index)和HALOE(Halogen Occultation Experiment)气溶胶面积密度资料,从其滞后相关性入手分析了ENSO循环对平流层气溶胶的影响,通过对滞后于El Nino和La Nina时气溶胶含量的比较探讨了ENSO强迫的影响程度,并用剩余环流及其输送量解释了平流层气溶胶变化的动力机制.结果表明:ENSO对平流层气溶胶的分布有明显影响,在赤道和低纬度上空尤为显著,El Nino发生后半年内热带平流层低层的气溶胶面积密度较平均值偏大,平流层中层的面积密度则偏小,而La Nina反之.El Nino和La Nina影响的差异显著,在分别滞后于El Nino和La Nina事件2~8个月间的60 hPa气溶胶含量差异甚至高达45%,海表温度变化1 K则在滞后半年内气溶胶面积密度的变化可达到16%.ENSO的强烈影响能够维持大约半年,两年后基本消退.热带的变化幅度明显强于中高纬度,南北半球的变化特征也有所不同.ENSO通过影响剩余环流导致气溶胶输送量发生变化,进而引起气溶胶分布出现上述差异.     

2013年平流层爆发性增温期间高纬电离层半日潮汐波研究

基于Sondrestrom站(67°N, 51°W)非相干散射雷达观测数据, 研究了2013年平流层爆发性增温(SSW)事件发生后高纬地区电离层F层和E层半日潮汐波.同时, 对1月非SSW发生期间和不同太阳活动期间高纬电离层中的半日潮汐波进行了统计分析, 并和2013年SSW事件发生后的结果进行了比较.研究发现, SSW发生后F层经向风中的半日潮汐波有显著增强, 其振幅大于80 m·s^-1的时间持续了至少60 h, 最大值达到109 m·s^-1.在180~330 km范围内, 半日潮汐波振幅平均大了24 m·s^-1.在E层高度上, 经向风中的半日潮汐波也在SSW发生后迅速增强, 最大值达到109 m·s^-1, 在108~117 km范围内, 其振幅平均大了33 m·s^-1.在E层纬向风中, 半日潮汐波振幅在120 km处连续超过36 h的时间内大于70 m·s^-1, 最大值达到92 m·s^-1.不同太阳活动期间的半日潮汐波统计结果显示, 和低太阳活动期间相比, 高太阳活动期间半日潮汐波在F层和E层平均增强14 m·s^-1.这明显小于SSW期间24和33 m·s^-1的增幅, 表明高太阳活动不是2013年SSW期间高纬电离层半日潮汐波增强的主要原因.我们的研究表明2013年高纬电离层半日潮汐波的增强很可能是受到SSW事件的影响.

     

平流层爆发性增温期间赤道电集流中太阴潮汐的经度变化统计学研究

本文利用地磁台站和卫星磁场数据,对平流层爆发性增温(Sudden Stratospheric Warming,SSW)期间赤道电集流(Equatorial Electrojet,EEJ)中太阴半日潮汐的经度变化进行了统计学分析.结果显示,SSW期间秘鲁和印度扇区的EEJ中太阴半日潮汐明显增强,且存在显著的经度差异.秘鲁扇区的EEJ中太阴半日潮汐达到峰值的时间要早于印度扇区,进一步分析发现峰值时间的经度差异与太阳活动和准两年振荡相位有关.此外,SSW期间秘鲁扇区EEJ的太阴半日潮汐峰值强度比印度扇区高.对比不同经度带背景磁场的强度与太阴半日潮汐的峰值幅度的关系,可以看出SSW期间EEJ太阴半日潮汐峰值幅度的经度差异与背景磁场强度有关,但也存在其他物理过程的影响.     

北半球春季平流层最后增温过程及其年际和年代际变化特征

利用1979～2010年NCEP-DOE 2逐日再分析资料,以北半球春季平流层极夜急流核心纬带(65°～75°N)纬向平均纬向风最后一次转为东风的日期定义为春季平流层最后增温事件(SFW)的爆发日期,研究发现,SFW事件平均在4月中下旬发生,且由平流层高层向低层依次滞后,10 hPa的SFW爆发平均超前50 hPa约13天;爆发当日伴随纬向风场时间变率和行星波辐合的最大值,平流层环流实现由冬向夏的季节转换;过去32年以来SFW的爆发早晚具有显著的年际变化,最早的SFW事件发生在3月中旬,最晚的SFW事件在5月下旬才出现.合成分析表明,SFW爆发偏早(晚)年的春季,纬向风场由西风向东风的转变更为快速(缓慢),爆发前5天至爆发后5天,30 hPa纬向风减小约20 m s-1(5 m s-1),伴随的平流层行星波活动也相对较强(弱);表现在环流异常场上,SFW爆发前后平流层极区环流异常呈反(同)位相分布,表明发生较早的SFW事件主要受波强迫驱动而伴随爆发性增温,而发生较晚的SFW事件则更反映了极涡的季节变化特征.无论SFW偏早还是偏晚年,爆发后极区平流层与对流层温度异常之间均呈反位相关系,反映了SFW爆发事件中的平流层-对流层动力耦合特征.另外,在20世纪90年代中期前后,SFW爆发日期还存在明显的年代际转折,90年代中期之前SFW平均发生日期较之后约偏早11天;与之相联系的是冬末、春初行星波活动在90年代中期之前偏强,而在90年代中期之后有偏弱趋势.     

2009/2010年冬季北极涛动异常及其影响分析

2009/2010年冬季出现了持续的北极涛动（AO）负异常,同时北半球的天气气候也发生了大范围的异常,两者的关系是大家极为关注的重要问题.本文的分析表明2009/2010年冬季北半球经历了两次显著的AO负异常过程,2009年12月和2010年2月AO指数分别达到了同期历史的最低值.2009年12月的AO负异常过程又可以又分为两个阶段,第一个阶段是由于前期行星波上传的增强导致平流层极涡减弱,随后平流层环流异常向下发展造成了对流层的AO负异常;第二个阶段是因为对流层低层高纬地区的温度正异常维持了第一个阶段在对流层高纬地区的位势高度正异常,使得AO负异常得以较长时间维持,这两个阶段的接连发生和共同作用使得对流层低层经历了一个较强的AO负异常过程.而2010年2月的AO负异常过程则是由平流层爆发性增温所造成的平流层异常环流下传造成的.通过对历史上11个AO负异常事件的统计分析,可以认为AO负异常事件可能由平流层爆发性增温以及平流层极区弱的环流异常下传造成,也可能来源于对流层内部的动力过程.进一步研究表明,2009/2010年冬季持续的极端AO负异常与该冬季北半球大范围的温度和降水异常有密切联系,关注AO异常及其影响是天气预报、气候预测的重要问题.     

电场作用与大气增温效应的再试验

６０多次对比模拟试验结果表明，大气电场对大气增温效应的“促进”作用是相当可观的；“促进”作用的大小与电场强度和大气成分有关，也和静电场还是交流电场有关。在本文中还对这些现象的成因机理作了分析和讨论     

副热带急流强度和赤道QBO对平流层突然增温的影响

使用一个全球原始方程半谱模式模拟了副热带急流强度和赤道准两年振荡（ＱＢＯ）对平流层突然增温（ＳＳＷ）的影响．结果指出：副热带急流强度对ＳＳＷ有明显影响,副热带急流越强,ＳＳＷ发展越快,极区最大增温区的高度越低;赤道ＱＢＯ不同相位零风线的南北位移对ＳＳＷ没有明显影响;ＱＢＯ东风相位时副热带急流更强,而ＱＢＯ西风相位时副热带急流较弱的观测事实,可能是大的中冬ＳＳＷ更容易发生在ＱＢＯ东风相位的主要原因．     

副热带急流强度和赤道QBO对平流层突然增温的影响

使用一个全球原始方程半谱模式模拟了副热带急流强度和赤道准两年振荡（ＱＢＯ）对平流层突然增温（ＳＳＷ）的影响．结果指出：副热带急流强度对ＳＳＷ有明显影响，副热带急流越强，ＳＳＷ发展越快，极区最大增温区的高度越低；赤道ＱＢＯ不同相位零风线的南北位移对ＳＳＷ没有明显影响；ＱＢＯ东风相位时副热带急流更强，而ＱＢＯ西风相位时副热带急流较弱的观测事实，可能是大的中冬ＳＳＷ更容易发生在ＱＢＯ东风相位的主要原因．     

中国气候干湿变率与ENSO的关系及其稳定性

利用1951-01~2000-10中国160站气温和降水月平均资料, 计算了自修正PDSI指数. PDSI指数EOF分析第一模态空间场分布和1951~2000年PDSI指数的变化趋势分布十分相似, 第一模态时间系数反映了空间场随时间的演变情况. 研究发现, EOF分析所揭示的中国气候干湿变率和ENSO有着很好的关系. 这种关系表明, 在典型的ENSO暖状态, 中国大部分地区都偏干, 特别是华北地区更易偏干, 长江以南地区和西北容易偏湿, 而长江中下游地区处于变干和湿的过渡区, 变干或湿不明显. 在典型的ENSO冷状态则情况相反. 而中国气候干湿变率年际和年代际变化都对应着强El Niño事件; 反过来当发生强El Niño事件时, 中国气候干湿变率在年际和年代际尺度上有可能发生剧烈变化. 最近20~30 a中国气候干湿的年代际变化, 特别是华北自20世纪70年代末的变干和西北自80年代中期的变湿, 与ENSO朝更暖的状态变化及全球变暖有着紧密的联系. 1951~2000年中国气候干湿变率和ENSO关系的稳定性分析表明, 中国气候干湿变率和ENSO之间在3~8 a变化周期上存着很好的相关关系, 但这种相关关系不稳定, 存在着年代际变化: 1951~1962和1976~1991年两个时间段两者相关关系很高, 而在1963~1975和1992~2000年两时段内, 两者相关关系较差.     

南印度洋海温偶极子型振荡及其气候影响

印度洋海表温度（Sea Surface Temperature,简称SST）的方差分析和相关分析表明南印度洋也存在一个海温偶极子型振荡,并定义了一个南印度洋海表温度异常偶极子指数.夏、秋季（南半球冬、春）的南印度洋偶极子指数与后期热带500hPa和100hPa高度场异常有显著而持续的相关,在冬、春达到最大,并可以持续到次年夏、秋.前期夏、秋季节的南印度洋偶极模对次年我国大陆东部夏季降水异常有显著的影响,对应偶极子正位相,次年夏季印度洋、南海（东亚）夏季风偏弱;副高加强且南撤、西伸,南亚高压偏强且位置偏东,易形成我国长江流域降水偏多,华南降水偏少;负位相年反之.后期冬季西太平洋暖池是联系南印度洋偶极子与次年我国夏季降水异常关系的一条重要途径.南印度洋偶极子表现出了明显的独立于ENSO（El Nio-Southern Oscillation,简称ENSO）的特征.     

Analysing the influences of ENSO and PDO on water discharge from the Yangtze River into the sea

The El Niño Southern Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO) are two important climate oscillations that affect hydrological processes at global and regional scales. However, few studies have attempted to identify their single and combined influences on water discharge variability at multiple timescales. In this study, we examine temporal variation in water discharge from the Yangtze River into the sea and explore the influence of the ENSO and the PDO on multiscale variations in water discharge over the last century. The results of the wavelet transform analysis of the water discharge series show significant periodic variations at the interannual timescale of 2 to 8 years and the decadal timescale of 15 to 17 years. Water discharge tended to be higher during the La Niña–PDO cold phase and lower during the El Niño–PDO warm phase. The results of the cross wavelet spectrum and wavelet coherence analyses confirm the relationship between the interannual (i.e., 2 to 8 years) and decadal (i.e., 15 to 17 years) periodicities in water discharge with the ENSO and the PDO, respectively. As an important large‐scale climate background, the PDO can modulate the influence of the ENSO on water discharge variability. In general, the warm PDO enhances the influence of El Niño events, and the cold PDO enhances the influence of La Niña events. Our study is helpful in understanding the influencing mechanism of climate change on hydrological processes and provides an important scientific guideline for water resource prediction and management.     

Debris cover on thaw slumps and its insulative role in a warming climate

Thaw slumps in ice-rich permafrost can retreat tens of metres per summer, driven by the melt of subaerially exposed ground ice. However, some slumps retain an ice-veneering debris cover as they retreat. A quantitative understanding of the thermal regime and geomorphic evolution of debris-covered slumps in a warming climate is largely lacking. To characterize the thermal regime, we instrumented four debris-covered slumps in the Canadian Low Arctic and developed a numerical conduction-based model. The observed surface temperatures >20° C and steep thermal gradients indicate that debris insulates the ice by shifting the energy balance towards radiative and turbulent losses. After the model was calibrated and validated with field observations, it predicted sub-debris ice melt to decrease four-fold from 1.9 to 0.5 mas the thickness of the fine-grained debris quadruples from 0.1 to 0.4 m. With warming temperatures, melt is predicted to increase most rapidly, in relative terms, for thick (∼0.5–1.0 m) debris covers. The morphology and evolution of the debris-covered slumps were characterized using field and remote sensing observations, which revealed differences in association with morphology and debris composition. Two low-angle slumps retreated continually despite their persistent fine-grained debris covers. The observed elevation losses decreased from ∼1.0 m/yr where debris thickness ∼0.2 mto 0.1 m/yr where thickness ∼1.0 m. Conversely, a steep slump with a coarse-grained debris veneer underwent short-lived bursts of retreat, hinting at a complex interplay of positive and negative feedback processes. The insulative protection and behaviour of debris vary significantly with factors such as thickness, grain size and climate: debris thus exerts a fundamental, spatially variable influence on slump trajectories in a warming climate. © 2020 John Wiley & Sons, Ltd.     

Teleconnection between ENSO and climate in South China

This study investigates the features of the teleconnection between El Niño–Southern Oscillation (ENSO) and the climate over the region with the latitude from 21°N to 25°N and longitude from 111°E to 116°E in South China for the period from 1960 to 2005. The climate variables analyzed are the monthly means of daily maximum temperature (Tmax), minimum temperature (Tmin), precipitation and relative humidity (RH), which are recorded at 20 weather stations over the region. The cross correlation coefficients between the ENSO index and those climate variable anomalies are calculated to evaluate the strength of the teleconnection. The analysis results reveal that ENSO has positive influence on most of the climate variables in the study region. Specifically, ENSO has significant effects on Tmin (but not Tmax) with the corresponding time delay of about 4 months. In addition, ENSO has considerable influence on precipitation and RH over the study region with teleconnection lag time of around 2 and 1 month, respectively.     

Seeing the climate through the trees: observing climate and forestry impacts on streamflow using a 60‐year record

Paired watershed experiments involving the removal or manipulation of forest cover in one of the watersheds have been conducted for more than a century to quantify the impact of forestry operations on streamflow. Because climate variability is expected to be large, forestry treatment effects would be undetectable without the treatment–control comparison. New understanding of climate variability provides an opportunity to examine whether climate variability interacts with forestry treatments, in a predictable manner. Here, we use data from the H. J. Andrews Experimental Forest, Oregon, USA, to examine the impact of the El Niño‐Southern Oscillation on streamflow linked to forest harvesting. Our results show that the contrast between El Niño and La Niña events is so large that, whatever the state of the treated watershed in terms of regrowth of the forest canopy, extreme climatic variability related to El Niño‐Southern Oscillation remains the more dominant driver of streamflow response at this location. Improvements in forecasting interannual variation in climate might be used to minimize the impact of forestry treatments on streamflow by avoiding initial operations in La Niña years. Copyright © 2014 John Wiley & Sons, Ltd.     

南半球夏季纬向平均环流的垂直结构异常及其与AAO和ENSO的联系

利用NCEP/NCAR月平均再分析资料,研究了南半球夏季（12~2月）纬向平均环流的垂直结构异常及其与南极涛动（AAO）和ENSO的联系.结果表明,南半球夏季纬向平均［u］的异常分布的主要模态（EOF1）显示出极区、50°S~70°S、以及50°S以北的区间内“三极”型振荡.EOF1 既反映了AAO的特征又与ENSO有着显著的关系.由于AAO指数与Nino3区指数之间存在着统计相关,为进一步弄清AAO和ENSO在南半球纬向平均气流变动的相关分量及其结构,利用Nino3区指数使用一元回归方法滤除ENSO影响,再对剩下的部分作EOF分解,得到了独立于ENSO的纬向平均［u］的第一模态AEOF1.相关分析表明AEOF1为与AAO相对应的纬向平均［u］异常的分布.用南半球纬向平均［u］去掉其与AAO相联系的模态AEOF1,进行EOF分解得到的第一模SEOF1,其与Nino3 区指数的相关高达0.9.由此给出了纬向平均气流的变动与ENSO无关的模态和与ENSO有关的模态.时间变化分析表明,近30年中,除了年代际变化和3~7年的年际变化外,纬向平均的纬向基本气流尚有极地西风减弱、副极地西风加强、副热带西风减弱、热带东风加强的长期趋势.     

Relationship and its instability of ENSO — Chinese variations in droughts and wet spells

Monthly data of Self-Calibrated Palmer Drought Severity Index (PDSI) from 1951 to 2000 are calculated using historical precipitation and temperature data for Chinese 160 stations. Temporal and spatial patterns of the first empirical orthogonal function (EOF) of the PDSI reveals a fairly linear trend resulting from trends in precipitation and surface temperature, which is similar to the linear PDSI trend during 1951–2000 calculated using all monthly data. The EOF analysis also reveals that the leading mode correlates significantly with ENSO events in time and space. The ENSO EOF shows that during the typical warm phase of ENSO, surface conditions are drier in most regions of China, especially North China, but wetter than normal in the southern regions of Changjiang River, and Northwest China. During the typical cold phase of ENSO, these anomalies reverse sign. From 1951 to 2000, there are large multi-year to decadal variations in droughts and wet spells over China, which are all closely related to strong El Niño events. In other words, when one strong El Niño event happens, there is a possible big variability in droughts and wet spells over China on the multi-year or decadal scale. Studies also suggest that during the last 2–3 decades climate changes over China, especially North China’s drying and northwest China’s wetting, are closely related to the shift in ENSO towards warmer events and global warming since the late 1970s. The instability of the relationship is also studied. It is revealed that there is a good correlation between ENSO and Chinese variations in droughts and wet spells in the 3–8-year band, but the correlation between ENSO and Chinese variations in droughts and wet spells is instable. Studies suggest that there are decadal changes in the correlation: the wavelet coherency between ENSO and Chinese variations in droughts and wet spells is high during 1951–1962 and 1976–1991, but low during 1963–1975 and 1992–2000.     

The imprint of the ENSO activities on the South China Sea wave climate

Ocean Dynamics - Global warming is changing the global wave climate, making waves stronger. In this study, we find that the wave climate in the South China Sea (SCS) undergoes an intensifying trend...     

The effect of ENSO on rainfall characteristics in the tropical peatland areas of Central Kalimantan,Indonesia

Abstract

The effect of the El Niño Southern Oscillation (ENSO) on rainfall characteristics in the tropical peatland areas of Central Kalimantan, Indonesia, is demonstrated. This research used rainfall data collected between 1978 and 2008. The results suggest a relationship between ENSO events and the trend in rainfall observed in the study area. Further analyses show that El Niño events have a stronger effect on the rainfall compared to La Niña events. El Niño events were also correlated to the increase in the number of days with less than 1 mm of rainfall in the dry season. The analysis reveals that the impact of El Niño events on rainfall in dry seasons is intensifying annually. Furthermore, ENSO events are not the only factors affecting rainfall trends in the observed area. Other factors, such as deforestation, may also affect the trend.

Editor Z.W. Kundzewicz

Citation Susilo, G.E., Yamamoto, K., Imai, T., Ishii, Y., Fukami, H., and Sekine, M., 2013. The effect of ENSO on rainfall characteristics in the tropical peatland areas of Central Kalimantan, Indonesia. Hydrological Sciences Journal, 58 (3), 539–548.