黄土高原半干旱区沙尘气溶胶光学和微物理特性

利用2006-2012年兰州大学半干旱气候与环境观测站太阳光度计资料,采用严格判断方法确定出沙尘气溶胶数据,分析沙尘气溶胶的光学和微物理特性。结果表明,沙尘气溶胶光学厚度最大值(2.80)出现在春季,主要分布在0.3~0.8,日均值0.63。ngstrm波长指数与光学厚度位相相反,春季最小(0.002),秋季最大(0.525),主要分布在0.2~0.4,日均值0.27。沙尘多为大粒径气溶胶,粒子谱粗模态占主导。总粒子和粗模态粒子体积浓度变化很大,与光学厚度年变化一致,在4月达到最大。有效半径与复折射指数实部变化一致,春、冬季较大,夏、秋季较小。单次散射反照率冬、春小,夏、秋较大,最小值出现在2月,与复折射指数虚部反位相。     

中国北方大气气溶胶微物理特性研究

利用AERONET(Aerosol Robotic Network)榆林、北京、香河、兰州四站点的数据分析中国北方大气气溶胶的光学和物理特性。分析内容包括:气溶胶光学厚度、单次散射反照率、复折射指数、散射不对称因子、Αngstrom波长指数、气溶胶体积尺度谱分布。分析结果表明:春季光学厚度为四季中最大;沙尘源区的Αngstrom波长指数和光学厚度的关系较为简单,且随光学厚度的增加呈降低趋势,下游地区Αngstrom波长指数和光学厚度关系较为复杂;所有站点的体积谱分布均呈双峰分布,夏半年积聚态为主模态,冬半年粗模态为主控模态;粗粒子的散射不对称因子大于细粒子的。     

天空辐射计观测2006年春季北京地区气溶胶光学特性的研究

利用2006年3～5月天空辐射计观测数据反演得到北京地区春季大气气溶胶光学性质参数,包括大气气溶胶光学厚度(0.5μm)、Angstrm指数、单次散射反射比和粒子谱分布特征。结果表明:北京地区春季气溶胶平均光学厚度0.67,Angstrm指数0.54,单次散射比0.88,粒子吸收性质较弱,粒子谱呈双峰形,以粗粒子为主,粗、细模态粒子粒径分别集中在0.17μm和7.7μm左右。相比2004年此次观测期间气溶胶粒径较大,粒子体积浓度较高,散射作用在其消光特性中的比重略有下降。光学厚度日变化呈单峰型,日间单次散射比随时间逐渐递减,Angstrm指数在上午递减趋势明显,午后变得稳定。对同时观测的天空辐射计与CE-318不同波长光学厚度结果进行比较,结果显示两者得到的光学厚度相关性很好,各波长小时平均结果的相对误差小于7%。     

基于遥感测量的淮河流域中部气溶胶光学和微物理特性分析

利用设置在中国气象局寿县国家气候观象台2017年全年的太阳-天空辐射计CE318数据,对当地一年四季气溶胶光学和微物理特征进行分析。结果表明:春季气溶胶光学厚度最高,夏季和秋季最为接近,也最低,冬季介于夏、秋季之间;AE数据集中在0.9～1.5,以细模态粒子为主;四季的气溶胶体积谱分布基本相似,且既有细模态粒子,也有粗模态粒子;夏季气溶胶折射率实部最小,说明当地夏季水汽含量最大,实部与光谱波长没有明显关系,而虚部则有;单次散射反照率均在80%以上,气溶胶散射效应明显;非球形粒子占主要支配地位且在春季数量最多。研究结果对于掌握淮河流域中部区域气溶胶特征,及其对大气辐射、气候变化的影响,监测空气质量,以及提高我国该特定区域大气辐射传输模型计算精度有重要意义。     

西北地区气溶胶光学特性及辐射影响

利用SACOL（兰州大学半干旱气候与环境观测站）2006~2012年AERONET（全球气溶胶自动监测网）level 2.0和太阳短波辐射计资料,分析了中国西北地区气溶胶的光学特性与辐射影响。利用辐射传输模式SBDART（平面平行大气辐射传输模式）检验TOA（大气层顶）处辐射强迫为正的原因。BOA（地表）、TOA、Atmosphere（大气）的辐射强迫年均值分别是-59.43 W m-2、-17.03 W m-2、42.40 W m-2,AOD（光学厚度,550 nm）年均值0.37,α（波段的波长指数,440~675 nm）年均值0.91,变化趋势与AOD位相相反,当AOD为0.3~2.2时,α很小（0.0~0.2）,表明粒子尺度很大。SSA（单次散射反照率,675 nm）年均值0.93,g（不对称因子,675 nm）年均值0.68,复折射指数（675 nm）实部年均值1.48,虚部0.007。复折射指数实部的年变化趋势与AOD一致,虚部与AOD反位相,所以西北地区多为粗模态散射性气溶胶。气溶胶对大气的加热率最大值出现在0~2 km,随高度递减。冬、夏半年在地表加热率分别是2.6 K d-1和0.6 K d-1;季节变化中,冬季、秋季、春季和夏季,在地表的加热率依次是2.5 K d-1、1.4 K d-1、1.2 K d-1和0.2 K d-1,主要因为秋季气溶胶的吸收性大于春季。地表反照率和SSA对TOA正辐射强迫贡献率分别是22.5%和77.5%。     

黑龙江省龙凤山区域大气本底站气溶胶光学特征分析

利用2010—2020年黑龙江省龙凤山区域大气本底站气溶胶光学特性长期观测资料, 分析并探讨了背景地区气溶胶光学厚度、波长指数、单次散射反照率、粒子体积谱分布以及气溶胶直接辐射强迫效应的变化特征。结果表明: 龙凤山区域气溶胶光学厚度最高值出现在7月, 平均值为0.67;最小值出现在12月、1月和2月, 平均值分别为0.17、0.02和0.18;气溶胶光学厚度在17时达到最高值为0.39。气溶胶波长指数在4—5月最低, 平均值分别为1.20和1.21;12月最高, 平均值为1.74;波长指数在12时达到峰值, 为1.44。单次散射反照率最低值分别出现在4月、8月和10月, 平均值分别为0.84、0.82和0.84;气溶胶单次散射反照率在12时出现峰值, 为0.95。龙凤山区域春季气溶胶粗粒子体积分数最高值出现在5月, 为0.04 μm³·μm^-2, 有效半径为3.85 μm; 夏季气溶胶细粒子体积分数最高值出现在7月, 为0.06 μm³·μm^-2, 有效半径为0.19 μm; 秋冬季龙凤山背景地区气溶胶细粒子和粗粒子体积分数均进一步减小。龙凤山区域地面和大气层顶气溶胶直接辐射强迫最高值均出现在7月, 分别为-94.44 W·m^-2和-22.33 W·m^-2。     

黑碳气溶胶光学厚度的全球分布及分析

利用全球气溶胶数据集GADS(Global Aerosol Data Set)计算了冬夏两季黑碳气溶胶质量浓度分布以及在波长0.55μm处的光学厚度、吸收系数和散射系数在全球的分布,并分析了原因。通过分析黑碳气溶胶复折射指数虚部、单次散射反照率、非对称因子、吸收系数、散射系数和消光系数随波长的变化,得出黑碳气溶胶的吸收系数和散射系数在小于0.5μm的短波范围内具有相同的数量级,随着波长的增大,吸收系数比散射系数大几个数量级;黑碳气溶胶对小于1μm的短波有强烈的吸收作用。另外还给出了冬夏两季南北半球及全球黑碳气溶胶平均光学厚度值、7个地区黑碳气溶胶光学厚度及质量浓度最大值,其中冬季黑碳气溶胶光学厚度的最大值为0.027 5,位于东亚地区;而质量浓度最大值为1.555μg/m3,位于西欧地区。     

天空辐射计观测反演北京城区气溶胶光学特性

利用2018年10月—2019年9月天空辐射计观测数据反演北京城区气溶胶光学特性参数,重点分析污染过程中气溶胶光学特性与气象条件的相关性。结果表明:500 nm气溶胶光学厚度在2—7月较大,最高值出现在6月,为0.71。单次散射反照率最高值出现在8月,为0.96;最低值出现在5月,为0.89。440~870 nm ?ngstr?m波长指数最高值出现在夏季,为1.11;最低值出现在春季,为0.89。统计发现污染日数仅占总日数的17%,其中62%为轻度污染;污染和清洁天气条件下PM_2.5浓度分别为107.22 μg·m-3和47.16 μg·m-3,500 nm气溶胶光学厚度分别为0.85和0.49,单次散射反照率分别为0.96和0.92;冬季?ngstr?m波长指数在污染天气条件下（1.02）大于清洁天气（0.91）,春季相反。结合天空辐射计、激光雷达和气象数据分析2019年1月一次污染事件,可知低风速与高湿度等不利气象条件、气溶胶粒子的吸湿增长和二次转化、污染物局地排放及区域输送共同导致污染事件发生。     

长江三角洲地区大气气溶胶柱单次散射反照率特性研究

利用OMI卫星资料2006—2017年的483.5 nm波长的气溶胶柱单次散射反照率日均数据,分析了整层大气气溶胶单次散射反照率在长三角地区的时空分布特征,特别是其年际、月、季节变化特征.长江三角洲地区的大气气溶胶柱单次散射反照率越靠近海洋越大,而越靠近内陆越小.日均气溶胶柱单次散射反照率在0.881~0.971范围内变化,多年的平均值为0.939±0.024,最大分布概率出现在0.965~0.970区间,其值约为25％.长三角地区大气气溶胶柱单次散射反照率的年平均值集中于0.938~0.940之间,年际变化很小,变化值小于1％;月均柱单次散射反照率在6、8、9月有最大值,其值为0.968,而在2月有最小值,其值为0.915;季节平均单次散射反照率在夏季最大,其值为0.968,而在冬季最小,其值为0.919.     

基于AERONET的西亚地区气溶胶光学特性

利用AERONET 10个站点的Level2数据分析得到2010-2017年西亚地区多个气溶胶参数(光学厚度(Aerosol Optical Depth,AOD)、吸收光学厚度(Absorption Aerosol Optical Depth,AAOD)、波长指数α、粒子体积谱和单次散射反照率(Single Scatt...     

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.     

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