漠河地区臭氧的观测和计算

1997年3月上旬,在黑龙江漠河地区对地面和整层臭氧、太阳辐射等进行了短期观测,以初步了解该地区臭氧和辐射的变化规律以及它们之间的相互关系.研究发现,漠河地区近地面臭氧日变化明显,其峰值出现在每日10:00(北京时间)左右,并早于紫外辐射(UV)峰值出现时间.整层大气臭氧总量的日变化特征不明显.基于UV能量守恒,建立了臭氧与其影响因子-光化学、散射、UV等因子之间较好的定量关系和经验模式,并将其用于计算地面、整层大气臭氧小时值和日平均值.结果表明,计算值与观测值吻合的都比较好,它们相对偏差的平均值分别为:地面臭氧小时值(11.9%)和日平均值(9.0%);整层大气臭氧小时值和日平均值-7.4%、1.8%.因此,地面和整层臭氧的经验算法是合理和可行的.利用散射辐射/直接辐射(D/S)和散射辐射/总辐射(D/Q)可以描述大气中的物质如气溶胶、云等的散射作用.采用D/Q表示散射作用可以提高地面臭氧和整层大气臭氧计算的准确度,特别是对云量较大的情况.       

火山气溶胶对北京地区臭氧总量变化趋势的影响

分析了1979～1995年北京地区臭氧总量的变化趋势、1980～1994年整层气溶胶光学厚度和1981～1985、1990～1994年平流层气溶胶光学厚度。分析依据的数据资料来自Dobson仪器所观测的臭氧总量资料和太阳辐射表提供的气溶胶光学厚度资料。结果表明,1979～1995年期间北京地区臭氧总量年变化率为-0.269%,1982～1985、1991～1994年间臭氧总量年变化率分别高达-0.954%和-1.439%。这说明厄尔奇琼火山和皮纳图博火山爆发对臭氧总量减少可能起到重要作用。     

1990～2002年北京地区大气臭氧垂直分布Umkehr观测反演研究

基于标准Umkehr反演算法, 利用北京地区Dobson仪器逆转观测资料, 反演计算出臭氧垂直分布.在反演过程中加入气溶胶订正因子, 使反演结果更加合理.利用臭氧垂直分布反演结果, 研究1990～2002年北京地区臭氧垂直分布特征和变化情况.结果表明在1992年秋季和1993年春季期间, 在10.3～23.5 km范围内臭氧浓度有较大幅度降低, 造成了这个期间月平均臭氧总量的明显偏低; 1990年到2002年期间, 臭氧总量的变化呈现出缓慢下降趋势, 但不同高度臭氧含量的变化趋势有所不同.     

近20年北京晴天紫外辐射的变化趋势

在对北京晴天1990年1月～1991年12月太阳辐射观测资料进行了详细分析的基础上,得到了计算晴天紫外辐射的计算公式,结果表明,计算值与观测值吻合得比较好,计算值与观测值的最大相对偏差为6.2%,24个月相对偏差的平均值为1.9%.利用此公式计算了北京晴天1979～1998年的紫外辐射,并给出了1979～1998年紫外辐射的变化趋势,发现近20年北京地区晴天的紫外辐射呈下降趋势,并对其产生原因以及影响紫外辐射的各个因子进行了详细分析.     

北京地区太阳紫外辐射的观测与分析研究

利用北京地区太阳辐射和其它常规气象观测资料，得到了到达地面的太阳紫外辐射的计算公式，并将计算值与观测值进行了比较，两者吻合得比较好。最后给出了北京地区地面太阳紫外总辐射的变化趋势，计算结果表明，地面太阳紫外总辐射对大气浑浊度的变化比对大气臭氧总量的变化敏感得多。     

利用太阳直射光谱计算平川上空水汽和臭氧总量

本文利用“HEIFE”1991年10月加强观测期在平川荒漠地区观测的太阳光谱资料．对平川上空大气中水汽总量和臭氧总量进行了计算。计算指出利用多渡段太阳光谱资料拟合Angstroem参数,并引入1hλ的三次多项式．大大地提高了气溶胶光学厚度的计算精度．在上述基础上计算出平川上空10月份臭氧总量平均为0．323cm-atm,水汽的光学厚度为0．238．分析发现该地区水汽总量与地面相对湿度有较好的相关．其相关系数达0．825。文中对水汽计算的几种方法还进行了比较与讨论。     

动力传输和地表排放对北京地区对流层臭氧长期变化的影响

利用2003—2013年北京地区臭氧探空资料和多种再分析资料,结合CAM-chem模式模拟分析了北京地区对流层臭氧的长期变化趋势及影响因子。结果表明:近11 a来,北京地区对流层臭氧整体呈明显增加趋势,对流层臭氧总量每年增加约0.98 DU,且地表排放对该地区对流层臭氧增加的贡献相比动力过程更大。其中,由平流层向下输送造成的对流层臭氧总量每年增加约为0.13×10~(-3)~0.17×10~(-3)Tg,对北京地区对流层臭氧总量的增加贡献约20%;由水平输送造成的臭氧增加每年约为0.06×10~(-3)Tg,对臭氧总量增加贡献约10%;而由地表排放造成的对流层臭氧增加约占该地区对流层臭氧总增加量的60%。     

中国西北地区大气气溶胶散射光学厚度分析

提出一种利用地方气象台站测得的地表宽谱 ( 0 .3～ 4 μm)逐日太阳辐射日总量资料 (包括太阳总辐射和漫射太阳辐射 )来估算晴空无云天气条件下背景大气中大气气溶胶散射光学厚度的方法 ,这主要是基于地表的太阳总辐射和漫射太阳辐射对大气气溶胶散射光学特性的敏感性。该方法建立在观测数据和模式计算结果相互比较的基础上 ,而不需要知道某地相关的云、臭氧或水汽的探空资料。利用此方法 ,我们使用来自我国西北干旱地区 6个地方气象台站 (兰州、敦煌、民勤、格尔木、乌鲁木齐、喀什 ) 1986— 1992年的逐日太阳总辐射和漫射太阳辐射日总量资料 ,得到了大气气溶胶散射光学厚度在年际和月际间的时空变化特征     

Comparison between ozonesonde measurements and satellite retrievals over Beijing,China

从2013年开始,作者团队使用自主研发电化学原理臭氧探空仪在华北平原北京地区进行每周一次观测.本研究首次使用2013-2019年期间北京地区臭氧探空数据评估Aqua卫星搭载大气红外探测仪(AIRS)和Aura卫星搭载微波临边探测器(MLS)反演垂直臭氧廓线,并对比臭氧探空,AIRS和Aura卫星搭载臭氧监测仪(OMI)臭氧柱总量结果.尽管臭氧探空与卫星反演垂直臭氧廓线在局部高度处差异较大,但整体来说两者较为接近(相对偏差大多<10%).臭氧探空,AIRS和OMI三种仪器测量臭氧柱总量的年变化特征较为一致,其年均臭氧柱总量分别为351.8±18.4 DU,348.8±19.5 DU和336.9±14.2 DU.后续对国内多站点观测数据分析将有助于进一步理解臭氧探空与卫星反演臭氧资料在不同区域的一致性.     

利用多波段分光仪观测生物有效UV辐射、臭氧总量和云的影响

该文介绍了一种利用紫外分光仪进行辐照度观测获取生物有效UV辐射、臭氧总量和云的光学厚度的方法。这些量是观测的辐照度与辐射传输计算相结合后测定的。该方法被用于具有 4个中心波长为 30 5、32 0、340和 380nm ,宽度为 10nm的 4波段分光仪。将这种仪器与高精度分光光度计在美国圣迭戈不同天气条件下进行了为期 1周的对比观测。当太阳天顶角 (SZA) <80°时 ,CIE 权重UV辐射剂量率的相对误差为 1.4± 3.2 %。晴天条件下 ,当SZA <80°时 ,相对误差为 0 .6± 1.5%。该仪器观测的辐照度推算的臭氧总量对云并不敏感。这种仪器还与Dobson和Brewer仪器在挪威奥斯陆进行了一年多的对比观测。整个观测期间 (包括有云的情况 )获得的臭氧总量相对误差为 0 .3± 2 .9%。当晴天和SZA <6 0°时 ,标准差减小到 1.9%。将仪器观测中所获得的臭氧总量和云的光学厚度输入到辐射传输模式 ,可以计算从 2 90～ 4 0 0nm分辨率为 1nm的整个光谱。这样计算的光谱与同时用高精度分光光度计观测的光谱在晴天及有云的条件下非常一致 ,所以 ,这种光谱可以用于测定任何作用光谱的辐射剂量率。而计算这种光谱只需要一个UV B通道和一个UV A通道     

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.     

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     

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.     

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;