热带大气季节内振荡对江西5月降水的影响

利用实时的热带大气季节内振荡(MJO)指数和江西省83个台站降水资料,通过位相合成方法分析了MJO对江西5月降水的影响。(1) 在强MJO第4～5位相(MJO活动中心位于赤道印度洋东部印尼群岛附近)江西降水为正异常,在第6～8位相(MJO活动中心位于西太平洋以东)和第1～3位相(MJO活动中心位于赤道印度洋)为负异常,其中以第4位相的正异常和第7位相的负异常最明显。(2) 当MJO对流中心位于印尼群岛附近时,副高西伸脊点偏西,处于异常西南风控制,从西太平洋副热带地区向江西输送的水汽加强,位于水汽辐合区内,受上升运动控制,有利于江西出现降水。当MJO传播至西太平洋地区时,江西转为受异常偏北风控制,水汽输送减弱,为水汽辐散区,受下沉运动控制,不利于江西出现降水。      

MJO研究新进展

MJO与ENSO的关系、MJO的数值模拟(预报)以及MJO对天气气候的影响是近些年来国内外大气科学研究的重要前沿问题.本文将综合介绍国内有关MJO对天气气候的影响以及MJO的数值模拟(预报)方面的近期研究进展,因为过去已介绍过MJO与ENSO相互作用的研究结果.利用澳大利亚气象局的RMM-MJO指数研究MJO与西北太平洋台风活动的关系,结果表明大气MJO对西北太平洋台风的生成有比较明显的调制作用,在MJO的活跃期与非活跃期西北太平洋生成台风数的比例为2∶1;而在MJO活跃期,对流中心位于赤道东印度洋(即MJO第2、3位相)与对流中心在西太平洋地区(即MJO第5、6位相)时的比例也为2∶1.对大气环流的合成分析显示,在MJO的不同位相西太平洋地区的动力因子和热源分布形势有极其明显不同.在第2、3位相,各种因子均呈现出抑制西太平洋地区对流及台风发展的态势;而在第5、6位相则明显有促进对流发生发展,并为台风生成和发展创造了有利的大尺度环流动力场.对多台风年与少台风年850 hPa的30～60 d低频动能距平的合成分析表明,在多台风年最显著的是低频动能正异常位于菲律宾以东15°N以南的西北太平洋地区,表明那里有强MJO的活动;而少台风年的情况与多台风年相反,菲律宾以东的西北太平洋上与季风槽位置对应区域是低频动能的负距平区,那里MJO偏弱.即赤道西北太平洋上MJO活动的强(弱)年对应西北太平洋的台风偏多(偏少).对应MJO的不同活动位相,无论冬季、春季或夏季,中国东部的降水都将出现特殊的异常形势.在春季,MJO的第2、3位相有利我国东部长江中下游地区多雨、华南地区少雨;MJO的第4、5位相有利我国华南地区多雨而长江中下游地区少雨;在MJO的其它位相,我国东部地区都为降水负异常.在冬季,对应MJO的第1～3位相(特别是第2、3位相)中国华南降水偏多;而对应MJO的第6～8位相(特别是第6、7位相)中国华南降水偏少.在夏季,MJO位于印度洋时,MJO可以通过低层西风急流的波导效应影响到中国东南部地区,造成该地区降水偏多;当MJO位于西太平洋地区时,可以造成经向环流的上升支向北偏移,导致西北太平洋副高的东撤、以及中国东南部地区水汽输送减弱,降水减少.资料分析还表明,在年际变化尺度上,热带中、东印度洋MJO指数的持续异常对云南夏季降水有明显的影响.大气环流和数值模拟都表明,MJO活动不同位相的强对流会在东亚/西北太平洋地区激发产生不同形势的遥响应(Rossby波列),导致在中国不同地区出现有利(或不利)降水的环流形势和条件,是MJO活动影响中国降水的主要机制.用数值模式对MJO进行数值模拟(预报)是尚未很好解决的困难问题,原因也没有完全搞清楚.我们的一系列数值模拟清楚表明,MJO的模拟(预报)效果对模式所用对流参数化方案有很强的依赖关系;模式能否很好描写(再现)热带大气非绝热加热廓线,是极其关键的问题,只有当加热廓线在对流层中低层有最大加热时,模式才能得到同实际观测大体一致的MJO及其活动特征.这些数值模拟结果与我们过去从理论研究得到的结论相吻合,彼此得到应证.     

热带大气季节内振荡对西南地区东部夏季降水的影响及其可能机制

利用1979~2013年6~8月的西南地区东部20个台站日降水量资料、逐日MJO(Madden-Julian Oscillation)指数、全球OLR(Outgoing Longwave Radiation)逐日格点资料以及NCEP/NCAR再分析日资料,采用合成分析和线性回归等方法,对夏季MJO不同位相活动影响西南地区东部夏季降水的原因及其可能机制进行了初步分析。研究表明,MJO与西南地区东部夏季降水之间存在着显著的关系,当MJO处于第4(第6)位相时,由于西太平洋副高位置偏南(偏北)、向西南地区东部的水汽输送偏多(偏少),在异常上升(下沉)气流影响下,西南地区东部夏季降水偏多(偏少)。MJO影响西南地区东部夏季降水的可能原因是:当MJO处于第4位相时,赤道东印度洋地区上空大气释放凝结潜热,其激发东北向传播的异常波动,进而影响东亚环流,使得西南地区东部出现夏季降水偏多的环流形势,西南地区东部夏季降水增多;但在第6位相时,西太平洋地区上空对流释放的凝结潜热,其激发PJ(太平洋-日本)型Rossby波列,出现不利于西南地区东部夏季降水的环流形势,西南地区东部夏季降水偏少。     

热带MJO对2009年11月我国东部大范围雨雪天气的可能影响

结合对历史资料的分析,研究了2009年11月热带地区一次强的热带大气季节内振荡（MJO）过程与11月我国东部大范围雨雪天气的可能联系,结果表明2009年11月强的MJO过程是我国东部大范围雨雪天气的一个重要的影响因子。MJO对流11月上中旬在印度洋地区异常活跃,尤其是MJO对流中心在第3位相（印度洋中东部）维持了9天（7—16日）,对应了11月两次最强的降水（雪）过程。对MJO历史事件的合成分析显示,当MJO对流位于印度洋时,我国东部大部地区降水概率明显增加,温度偏低,与2009年11月的实况一致。中高纬地区大气环流的异常有可能受到热带MJO对流强迫的影响,这种影响可能通过遥相关的方式来实现。当MJO对流位于印度洋时,有利于欧亚中高纬环流维持两脊一槽的分布,同时西太平洋副热带高压偏强偏西,东亚东部地区维持一条显著的对流活跃带,这些环流异常形势与2009年11月的实况也较一致,体现了MJO对热带外地区环流异常影响的一般特征。热带地区MJO对流的异常通过对流加热强迫,除引起大尺度纬向环流异常外,同样会引起经向环流异常,从而影响热带外地区环流。当MJO对流位于印度洋时,西太平洋地区为异常的下沉运动控制,东亚东部辐合上升,在热带和中纬度地区之间形成一个异常的经向环流圈,经向环流的存在进一步有利于低层低纬度水汽的向北输送,造成东部降水偏多。利用MJO的发展和演变,对于把握类似2009年11月这样的大范围雨雪气候异常很有帮助。      

冬季热带西太平洋MJO活动强弱年的环境场特征

利用1948—2011年NCEP等再分析资料,采用合成分析等方法对比分析了冬季(冬半年)热带西太平洋MJO(Madden-Julian Oscillation)活动强、弱年的环境场特征。结果表明,冬季热带西太平洋MJO的活动具有显著的年际和年代际变化。MJO活动强年,对流层低层在菲律宾以东洋面上空有异常气旋式环流,赤道东太平洋上空为较强的东风距平,赤道印度洋到赤道西太平洋上空是异常西风,西太平洋地区有较强辐合,从而导致热带西太平洋地区积云对流活动显著加强;而MJO活动弱年的环流特征相反。热带MJO以东传为主,有少量西传波动。在MJO活动强年,无论东传还是西传其时空谱值都显著大于MJO活动弱年,其中心频率较MJO活动弱年偏高。MJO活动的异常和海温及东亚冬季风紧密相连,在MJO活动强年,海平面气压和500 hPa位势高度异常场表现为中高纬度的正异常和低纬地区的负异常,东亚冬季风活动偏强,中国大陆中部气温普遍偏低,同时,黄河以南长江以北地区降水偏多,而长江以南地区降水偏少;台湾附近海域受强东亚冬季风影响,海表温度偏低,东太平洋上海温距平呈现La Ni?a型的异常分布,而在MJO活动弱年上述特征基本相反。      

热带低频振荡影响中国东部冬季降水的机理

利用1979—2007年中国站点逐日降水记录、NCEP/NCAR大气再分析资料以及OLR资料等,分析了冬季热带低频振荡(MJO)与中国东部降水的关系及其伴随的大气环流扰动型,利用线性化全球大气环流模式模拟了大气对热带对流热源的响应,揭示了MJO影响中国东部冬季降水的机理。结果表明:热带对流活动从赤道印度洋西部东移至赤道西太平洋,中国东部冬季降水先后经历了长江流域多雨、整个南方多雨、华南多雨而长江流域少雨,这个过程大约经历了20 d左右时间。作为对东移性赤道热源的Rossby波型响应,当对流热源中心位于赤道印度洋中西部时,赤道以北地区的热源西部气旋式环流和热源东部反气旋式环流共同形成的西南气流扰动主要影响到中国长江流域,并造成那里多雨;而当对流热源中心东移到赤道印度洋东部时,西南气流扰动主要影响到中国华南地区,并造成那里多雨。     

印度洋偶极子对中国南海夏季西南季风水汽输送的影响

利用NCEP/NCAR再分析资料和中科院大气物理研究所PIAP3大气环流模式,分析了印度洋偶极子对夏季中国南海西南季风水汽输送的影响。结果表明,印度洋偶极子正位相期间夏季中国南海西南水汽输送较强,负位相期间则较弱。原因可归结为以下:正位相期间,MJO（Madden-Julian Oscillation）多活动于热带西印度洋,其向东传播受到阻碍,但经向传播明显,通常可传播至孟加拉湾地区,同时PIAP3显示印度洋季风槽位置偏北,且印尼以西过赤道气流较强,从而使得这一地区气旋性环流得到建立与加强。孟加拉湾地区对应着较强的对流活动以及深厚积云对流加热,从而通过对流加热的二级热力响应使西太平洋副热带高压位置向北推进,进而使得南海地区西南季风水汽输送得到建立与加强。在此期间孟加拉湾、中南半岛至南海地区对流活动较强,而苏门答腊沿岸对流活动受到抑制,由此增强了Reverse-Hadley环流,使低层经向风较强,进而增强了南海西南季风的水汽输送,PIAP3大气环流模式证实了Reverse-Hadley环流的增强。负位相期间,MJO多活动于热带东印度洋,在东传过程中受到Walker环流配置影响,在140°E赤道附近形成东西向非对称积云对流加热热源,其东侧Kelvin波响应加强了东风异常并配合副热带高压南缘东风压制了中国南海的西南季风水汽输送。在此期间,MJO在南海地区的经向传播较强,但经向传播常止步于南海地区15°N附近,虽携带大量水汽,但深厚积云对流强烈地消耗水汽使大气中水汽含量降低,PIAP3大气环流模式证实负位相期间深厚积云对流对水汽消耗加大,从而使得负位相期间南海地区水汽含量与正位相期间大体相近,但由于经向风不足使水汽向北输送较弱。     

热带大气季节内振荡对西北太平洋台风的调制作用

利用澳大利亚气象局的RMM-MJO (Real-time Multivariate MJO) 指数, 分析研究了热带大气季节内振荡 (简称MJO) 对西北太平洋台风的调制作用及其机理, 结果表明MJO活动对西北太平洋台风的生成有比较明显调制作用。在MJO活跃期, 对流中心位于赤道东印度洋 (即MJO第2、3位相) 和对流中心越过海洋性大陆来到西太平洋地区 (即MJO 第5、6位相) 时台风生成的个数比例为2∶1。本文对西太平洋地区的大气环流场进行了多种气象要素的合成分析, 在MJO的不同位相, 西太平洋地区的动力因子分布形势有很明显不同。在第2、3位相, 各种因子均呈现出抑制西太平洋地区对流及台风发展的态势; 而在第5、6位相则明显有促进对流发生发展, 为台风生成和发展创造了有利条件的大尺度环流动力场。这说明MJO 在不断东移的过程中, 将改变大气环流形势, 最终影响了台风的生成和发展。接着, 我们从积云对流这个联系台风和MJO的重要因子出发, 研究了不同MJO位相时凝结加热的水平和垂直分布, 以及与台风环流、 水汽通量的配置情况。结果表明在MJO不同位相, 热源分布明显不同, 而这种水平和垂直方向的不同分布特征必然反映潜热释放和有效位能向有效动能转换的差异, 再与水汽的辐合辐散相配合, 就从台风获得的能量角度揭示了大气MJO调节台风的生成和发展, 造成不同位相时台风生成有根本差别的原因。     

热带大气季节内振荡对华西秋雨的影响

热带大气季节内振荡(MJO)对中国的降水具有明显的调节作用,研究MJO对华西秋雨的影响对于提高华西秋雨的季节内预测能力具有重要的意义。利用1979 2012年9 10月澳大利亚气象局提供的实时多变量MJO指数、中国台站逐日降水资料以及NCEP再分析资料,通过异常合成分析的方法研究了MJO对华西秋雨的影响以及相应环流背景场的变化。研究表明,在MJO对流主体自西向东传播的过程中,华西地区的秋季降水量呈先增加后减少的趋势。当MJO对流主体位于印度洋中西部(1~2位相)时,华西秋雨偏多,当MJO对流主体位于印度洋东部至太平洋中西部(3~8位相)时,华西秋雨偏少。其中MJO对流主体位于中东印度洋(第2位相)和西太平洋(第7位相)时,华西地区秋季有降水最大正异常和最大负异常。与此同时,对应分析MJO不同位相上的高空形势场和中低空流场、水汽输送、垂直运动的异常变化发现:第1、2位相时,我国上空出现两槽一脊、西低东高的环流形势,此时华西地区冷空气活动频繁,且孟加拉湾、南海和西太平洋对华西地区的水汽输送较强,有利于干冷与暖湿气流在华西地区交汇,水汽辐合、上升运动亦显著,从而造成降水偏多;第7位相时,我国上空受较强的西风带长波脊控制,并且三个海区对华西地区的水汽输送较弱,水汽辐散、下沉运动亦较强,造成降水偏少。     

热带季节内振荡对广东6月降水的影响

利用1979—2008年共30年广东省86个测站的地面观测逐日降水资料和NCEP-DOE第二套分析资料的大气多要素日平均资料,分析热带大气沿赤道东传的季节内振荡（MJO）对广东6月降水的影响及其物理过程。结果表明:6月MJO活动对广东降水的调制作用与前汛期（4—6月）期间其它月份不同,对6月广东省降水正（负）异常有指示意义的是强MJO事件的第3（第６）位相。当赤道MJO处于第3位相时,西太平洋副热带高压明显加强西伸,来源于西太平洋地区的水汽随副高边缘向广东输送明显加强,广东水汽通量明显增加,从而导致广东降水加强。而第６位相的情况基本相反。强MJO第3位相造成西太平洋副热带高压偏强偏西的物理机制与大气对东印度洋非对称热源的响应有关。2010年6月广东两次持续性强降水过程与MJO强度较强且处于第3位相这种活动状态密切相关,进一步证明赤道MJO活动对广东6月强降水的重要指示作用。该结果有助于拓展广东强降水的预报思路,结合动力模式产品将有助于延长预报时效。      

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.     

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.     

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.     

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.     

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