TRACE-P期间硫酸盐、硝酸盐和铵盐气溶胶的模拟研究

结合最新评估的东亚地区 1°× 1°污染源资料 ,利用由区域大气模式系统 (RAMS)和区域大气质量模式系统 (CMAQ)耦合的空气质量模式系统 ,对东亚地区 2 0 0 1年春季气溶胶的输送及其化学转化过程进行了研究。为了检验模式系统的模拟效果 ,我们将模拟的硫酸盐、硝酸盐和铵盐气溶胶的浓度与TRACE -P观测期间获取的观测值进行了比较。比较结果显示 ,模拟值与观测值具有相当好的一致性 ,模式很好地反映了气溶胶浓度的分布特征和变化规律 ,再现了许多观测到的重要特征。模拟结果表明 ,中国区域硫酸盐气溶胶浓度高值主要是人为排放的二氧化硫造成的 ,10 0°E以东的中国广大地区的硫酸盐气溶胶柱含量超过了 6mg·m- 2 ,最高值达到 2 4mg·m- 2 ,柱含量 >16mg·m- 2 的区域延伸到中国近海的广大海域。东亚地区的人类活动不仅使污染地区气溶胶柱含量显著增加 ,而且使近海无源区的广大海域的污染加重。本模式系统的建立为今后进一步研究区域大气污染物的变化机理提供了有效的手段。     

东亚地区人为硫酸盐的直接辐射强迫

利用三维区域欧拉型硫化物输送模式 ,研究了 90年代中期东亚地区人为硫酸盐柱含量的空间分布。在此基础上 ,利用一个两层多次反射模式估算了东亚地区人为硫酸盐气溶胶直接辐射强迫 ,并分析了辐射强迫的地理分布和季节变化特征。结果表明 ,东亚地区年平均的人为硫酸盐直接辐射强迫约为 - 0 .7W·m-2 。直接辐射强迫空间分布具有明显的季节变化和区域特征 ,辐射强迫的这种变化特征强烈地依赖于人为硫酸盐柱含量的季节变化和区域分布。     

关于我国和东亚酸性物质的输送研究II. 硫化物浓度空间分布特征及季节变化

应用硫化物输送三维欧拉实用模式,计算和分析了我国和东亚地区二氧化硫和硫酸盐粒子的空间分布特点及季节变化,给出了年平均硫化物大气含量分布,还讨论了四种典型下垫面硫化物浓度的垂直分布廓线。结果表明,近地层硫化物浓度分布与排放源的分布类似,高值区主要在山东半岛及相邻的华北部分地区和四川盆地,在上海、台南、汉城和东京等地是小范围的高值区。地面浓度冬季大,夏季浓度小。高空分布形势与低层不同,由西南-东北走向变为东西走向。硫酸盐粒子分布高值中心少且平滑。夏季分布更加均匀化。年平均硫酸盐大气含量高值区主要集中在江淮流域,向海上延伸距离较远。四类地区硫化物垂直廓线反映了不同季节外来输送贡献。     

东亚地区云微物理量分布特征的CloudSat卫星观测研究

本文利用2007~2010年整四年最新可利用的CloudSat卫星资料, 对东亚地区(15°~60°N, 70°~150°E)云的微物理量包括冰/液态水含量、冰/液态水路径、云滴数浓度和有效半径等的分布特征和季节变化进行了分析。本文将整个东亚地区划分为北方、南方、西北、青藏高原地区和东部海域五个子区域进行研究, 结果显示:东亚地区冰水路径值的范围基本在700 g m-2以下, 高值区分布在北纬40度以南区域, 在南方地区夏季的平均值最大, 为394.3 g m-2, 而在西北地区冬季的平均值最小, 为78.5 g m-2;而液态水路径的范围基本在600 g m-2以下, 冬季在东部海域的值最大, 达到300.8 g m-2, 夏季最大值为281.5 g m-2, 分布在南方地区上空。冰水含量的最高值为170 mg m-3, 发生在8 km附近, 南方地区夏季的值达到最大, 青藏高原地区的季节差异最大;而液态水含量在东亚地区的范围小于360 mg m-3, 垂直廓线从10 km向下基本呈现逐渐增大的趋势, 峰值位于1~2 km高度上。冰云云滴数浓度在东亚地区的范围在150 L-1以下, 水云云滴数浓度的值小于80 cm-3, 垂直廓线的峰值均在夏季最大。冰云有效半径在东亚地区的最大值为90 μm, 发生在5 km左右;水云有效半径在东亚地区的值分布在10 km以下, 最大值为10~12 μm, 基本位于1~2 km高度上。从概率分布函数来看, 东亚地区冰/水云云滴数浓度的分布呈现明显的双峰型, 其他量基本为单峰型。本文的结果可以为全球和区域气候模式在东亚地区对以上云微物理量的模拟提供一定的观测参考依据。     

关于我国和东亚酸性物质的输送研究：Ⅱ.硫化物浓度空间分布特征及 …

应用硫化物输送三维欧拉实用模式,计算和分析了我国和东亚地区二氧化硫和硫酸盐粒子的空间分布特点及季节变化,给出了年平均硫化物大气含量分布,还讨论了四种典型下垫面硫化物浓度的垂直分布廓线。结果表明,近地层硫化物浓度分布与排放源的分布类似,高值区主要在山东半岛及相邻的华北部分地区和四川盆地。在上海,台南,汉城和东京等地是小范围的高值区,地面浓度冬季大,夏季浓度小,高空分布形势与低层不同,由西南－东北走向     

东亚区域对流层臭氧及其前体物的季节性关联

利用2010—2012年对流层臭氧（O₃）及其多种前体物的卫星遥感资料和全球水汽再分析资料,研究东亚区域O₃及其前体物的时空分布,以及在中国东部（分为南、北两部分）相关性的季节变化。结果表明:东亚区域NO₂与CO的对流层柱含量均表现为冬季高、夏季低的时空变化形式。O₃对流层柱含量夏季达到峰值,冬季为谷值。中国东部的北部与南部地区O₃与NO₂均在夏秋季呈正相关,冬春季呈负相关。夏季大部分地区NO_x的光化学循环反应对O₃生成有积极的促进作用,冬季大部分地区O₃的光化学循环生成受到抑制。O₃与CO在北部地区夏秋季和南部地区夏季正相关性最大,无论是在北部还是南部地区,O₃与CO的相关性在轻污染情况下最大,而在重污染和背景情况下较小,表明重污染气团向下风方的输送更有利于O₃的光化学生成。O₃与水汽在北部和南部地区的多数时间均呈较显著的正相关性,而在南部地区夏季和北部地区冬季具有较大的负相关性,反映出不同的环流形式、气团来源及伴随的天气条件变化对O₃分布的影响。     

2000-2018年东亚地区云顶高度的时空变化特征

为了了解区域云顶高度对过去气候变化的响应,基于卫星搭载的MODIS传感器提供的2000年3月至2018年2月MOD03_08_v6.0数据,分析了东亚地区云顶高度2000—2018年的时空变化特征,并探讨其长期变化的原因。研究发现,东亚地区云顶高度呈西南高东北低的特征。云顶高度在东亚地区以0.020 km/a的变率增长,其中大陆东部云顶高度的年际变率为0.035 km/a,东部海域年际变率为0.034 km/a。在东部海域地区云顶高度的变化同海表温度的变化相关性较高,相关系数为0.68,这表明云顶高度的变化受下垫面的影响。在东亚地区30°~40°N区域内,年平均云顶高度的增加较为明显。此外,夏季云顶高度在长江中下游盆地、塔里木盆地、吐鲁番盆地以及四川盆地东北部呈-0.03 km/a的减少趋势,这是由于更多低云的形成降低了云顶高度;冬季云顶高度在东亚地区40°N以北呈下降趋势,而在40°N以南呈增加趋势。     

近22a人为气溶胶对东亚地区夏季风环流影响的数值模拟研究

运用区域气候模式RegCM3耦合入一个化学过程,对东亚地区三类人为排放气溶胶（硫酸盐、黑碳和有机碳）的时空分布特征及其对夏季风环流的影响进行了数值模拟研究.模拟结果显示,气溶胶的引入会引起东亚地区夏季850 hPa风场发生改变,我国江淮以东洋面上空出现了一个气旋式距平环流中心,中心以西的偏北风气流将削弱东亚地区夏季西南季风.通过讨论春季中国地区气溶胶浓度与夏季东亚地区850 hPa经向风的时滞关系,以及夏季中国地区气溶胶浓度与同期东亚地区850 hPa经向风的关系,可以发现,春、夏季中国地区气溶胶浓度均与夏季东亚地区850hPa经向风有很好的负相关关系,当春季中国北方和夏季中国南方地区气溶胶浓度增加时,中国东部地区夏季偏南季风减弱.这可能与气溶胶改变了大气层顶和地表的辐射强迫,进而引起了海陆气压差异和位势高度场的变化有关.     

近22 a人为气溶胶对东亚地区夏季风环流影响的数值模拟研究

运用区域气候模式RegCM3耦合入一个化学过程,对东亚地区三类人为排放气溶胶（硫酸盐、黑碳和有机碳）的时空分布特征及其对夏季风环流的影响进行了数值模拟研究。模拟结果显示,气溶胶的引入会引起东亚地区夏季850 hPa风场发生改变,我国江淮以东洋面上空出现了一个气旋式距平环流中心,中心以西的偏北风气流将削弱东亚地区夏季西南季风。通过讨论春季中国地区气溶胶浓度与夏季东亚地区850 hPa经向风的时滞关系,以及夏季中国地区气溶胶浓度与同期东亚地区850 hPa经向风的关系,可以发现,春、夏季中国地区气溶胶浓度均与夏季东亚地区850 hPa经向风有很好的负相关关系,当春季中国北方和夏季中国南方地区气溶胶浓度增加时,中国东部地区夏季偏南季风减弱。这可能与气溶胶改变了大气层顶和地表的辐射强迫,进而引起了海陆气压差异和位势高度场的变化有关。     

中国东部地区人为气溶胶对东亚冬、夏季风的影响—— 一个高分辨率大气环流模式的模拟研究

使用一个高分辨率的公用大气环流模式（CAM5.1）研究了我国东部地区人为气溶胶对东亚冬、夏季风的影响。结果表明,人为气溶胶中的黑碳和硫酸盐气溶胶含量的季节性变化在冬、夏季节对大气表现出不同的热力效应,并且可能是影响我国东部地区上空大气温度长期变化的重要因素。人为气溶胶引起的东亚季风区夏季降温可达对流层中高层造成东亚地区海平面气压升高、海陆气压梯度减小,减弱夏季低层的偏南风分量和高层的南亚高压。东亚人为气溶胶可使东亚地区冬季近地面层温度普遍降低、对流层中高层明显增温,导致东亚东部地区海平面气压下降,减弱东亚地区冬季低层的偏北风分量,阻止中层的东亚长波槽南伸,并削弱高层西风急流的强度。      

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.     

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