大气甲烷浓度长期变化及未来趋势

应用初步建立的全球二维大气化学模式,对工业革命以来甲烷的长期变化进行了模拟研究。模式将CH4、CO和NOx排放源方案进行了参数化。在考虑了CH4排放源以及对OH浓度有重要影响的CO和NOx排放源的长期变化的基础上,模拟了CH4和OH浓度自1840年到20世纪90年代的长期变化趋势。结果表明,工业革命前的大气甲烷体积分数和年排放总量分别为760×10-9和280Tg,1991年大气甲烷的体积分数和年排放总量分别为1611.9×10-9和533.9Tg。而对流层中OH的数密度则由1840年的7.17×105cm-3变化到1991年的5.79×105cm-3,下降了19%。如果CH4、CO及NOx这三种排放源继续按给定的方案增长,那么到2020年大气甲烷的体积分数和年排放总量将增加为2090.7×10-9和966.2Tg,而OH的数密度将为5.47×105cm-3,比1840年降低24%。     

150年来大气甲烷浓度的长期变化

应用作者建立的全球二维大气化学模式 ,采用 2种CH4 排放源的长期增长方案 ,同时考虑了CH4 排放源以及对OH自由基浓度有重要影响的CO和NOx 排放源的长期变化 ,模拟了CH4 和OH从 1840～ 2 0 2 0年的长期变化趋势。考虑了世界人口增长的排放源方案可以更好地模拟CH4 的长期变化 ,模拟结果表明 ,工业革命前的大气CH4 浓度和年排放总量分别为 76 0× 10 -9(V/V)和 2 80× 10 9kg ,1991年大气CH4 的浓度和年排放总量分别为16 11.9× 10 -9(V/V)和 5 33 .9× 10 9kg ,对流层OH自由基数浓度从 1840年的 7.17× 10 5分子数 /cm3 下降到 1991年的 5 .79× 10 5分子数 /cm3,降低了 19%。工业革命以来大气CH4 的增长一方面是由于CH4 排放源的增长 ,另一方面是由于大气OH浓度的下降。     

北京大气甲烷季变化及发展趋势

近年来北京大气中CH4含量仍在上升,但平均增长率已从1985～1989年的1.76%.a-1,下降到1990～1997年的0.50%.a-1;冬季和夏季两次出现峰值,表现出明显的双峰模态季节变化。但北京大气CH4变化的最大特点是年际季变化不均一,12年中,北京大气CH4共计增长185×10-9混和体积比,其中冬季增长的贡献为69×10-9混和体积比,约占总增长的37%;而夏季的增长贡献不足40×10-9混和体积比,约占总增长的21%。90年代以后,北京大气CH4增长率进一步减慢,主要原因是生物源排放不再增加,而非生物源排放量的增长是大气CH4继续增长的主要原因。     

1992年大气甲烷增长速率异常 下降的模拟研究

应用初步建立的全球二维大气化学模式,模拟了甲烷、一氧化碳和OH自由基自工业革命以来的长期变化,对1992年大气中甲烷增长速率突然下降这一异常现象的可能原因如平流层O3下降,皮纳图博火山引起对流层温度下降、甲烷排放源减少等逐一进行了定量研究。研究还发现一氧化碳排放源的减少是另一重要影响因子,并进行了验证。结果表明,1992年甲烷增长速率急剧下降的主要原因来自甲烷和一氧化碳排放源的减少。     

半干旱草原温室气体排放/吸收与环境因子的关系研究

静态箱一气相色谱法对内蒙古半干旱草原连续两年的实验观测研究结果表明,内蒙古草原是大气CO2和N2O的排放源,而是CH4的汇.在植物生长不同季节,草原生态系统排放/吸收温室气体CO2,CH4和N2O的日变化形式各有不同,其中在植物生长旺季日变化形式最具特征.3种温室气体的季节排放/吸收高峰主要出现在土壤湿度较大的春融和降雨较为集中时期.所有草原植物生长季节CO2净排放日变化形式均为白天出现排放低值,夜间出现排放高值.较高的温度有利于CO2排放,地上生物量决定着光合吸收CO2量值的高低.影响半干旱草原吸收CH4和排放N2O日变化形式的关键是土壤含水量和供氧状况,日温变化则主要影响日变化强度.吸收CH4和排放N2O的季节变化与土壤湿度季节变化分别呈线性反、正相关,相关系数均在0.4～0.6之间.自由放牧使CO2、N2O和CH4交换速率日较差降低,同时使N2O和CH4年度排放/吸收量减少和CO2年度排放量增加.     

地球能量失衡与全球变暖

地球系统能量收支平衡即能量守恒,在大气顶部,入射的太阳辐射与出射辐射(包括反射的太阳辐射和地气系统发射的长波辐射)基本平衡.但是近百年来人类活动向大气排放的温室气体明显增加,例如CO2从工业革命前(1750年)的280×10-6,到2019年的(410±0.2)×10-6,增加148％;CH4和N2O增加了260％和1...     

瓦里关山大气甲烷本底浓度变化特征的分析

用气相色谱法在瓦里关全球基准站进行了大气甲烷（CH4）的连续测量,结合NOAA/CMDL气瓶采样CH4浓度资料的分析结果,给出了我国内陆高原大气CH4本底浓度的变化特征。分析结果表明:瓦里关山大气CH4浓度在1780×10-9～1840×10-9范围内波动,浓度值的变化范围符合中高纬度地区CH4浓度分布;CH4浓度有明显的日变化,夏季的变化趋势及振幅与冬春季有所不同;季节变化幅度不大,与全球大气CH4浓度本底值季节变化的特征及变化幅度的地理分布不太一致;有明显的年际变化,CH4年平均浓度表现为逐年升高,年     

半干旱草原温室气体排放/吸收与环境因子的关系研究

静态箱—气相色谱法对内蒙古半干旱草原连续两年的实验观测研究结果表明，内蒙古草原是大气CO2和N2O的排放源，和CH4的汇。在植物生长不同季节，草原生态系统排放／吸收温室气体CO2、CH4和N2O的日变化形式各有不同，其中在植物生长旺季日变化形式最具特征。三种温室气体的季节排放／吸收高峰主要出现在土壤湿度较大的春融期和降雨较为集中时期。对所有草原植物生长季节，CO2净排放日变化形式均为白天出现排放低值，夜间出现排放高值。较高的温度有利于CO2排放，地上生物量决定着光合吸收CO2量值的高低。影响半干旱草原吸收CH4和排放N2O日变化形式的关键是土壤台水量和供氧状况，日温变化则主要影响日变化强度。吸收CH4和排放N2O的季节变化与土壤湿度季节变化分别呈线性反、正相关，相关系数均在0．4-0．6之间。自由放牧使CO2、N2O和CH4交换速率日较差降低，同时使N2O和CH4年度排放／吸收量减少和CO2年度排放量增加。     

瓦里关温室气体本底研究的主要进展

由于温室气体浓度显著增长及其在气候与环境变化中的作用,国际上众多的科学计划和观测体系都把它们的时空分布、源汇及趋势列为重要内容,获得的各种资料在评价人类活动对气候和环境的影响及有关对策研究中起着关键作用。文章阐述了在中国内陆本底地区开展温室气体长期、定点观测的意义和必要性,系统地讨论了10多年来中国瓦里关本底站温室气体本底研究的主要进展。利用瓦里关经严格国际比对和质量控制的大气CO2、CH4长期观测资料,结合同期的地面风资料进行统计分析,建立了瓦里关大气CO2和CH4本底资料筛选方法;利用本底观测资料,研究了瓦里关大气CO2及其δ13C、CH4和CO本底变化及源汇特征所体现的亚洲内陆地域特点和全球代表性,并进一步与同期、同纬度海洋边界层参比值(MBL)以及北半球其他6个大气本底站同期观测数据对比分析,发现了瓦里关大气CH4和CO独特的季节变化并探讨了成因;根据空气团后向轨迹簇所途经的下垫面源汇同观测的大气CO2和CH4浓度变化之间的关系,探讨了瓦里关大气CO2和CH4的输送来源;利用Hysplit-4扩散与输送模式,计算了冬、夏典型月份人为源和自然生态系统源汇对瓦里关大气CO2浓度变化的贡献。并在现有基础上,提出了有待进一步解决的科学问题。     

全球二维大气化学模式和大气化学成分的数值模拟

建立了一个全球二维纬向平均化学模式,模式包括了从90°S到90°N,从地面到20 km高度的大气.模式中应用的流场来自根据加热率计算得到的剩余环流.模式化学部分包括34种大气成分、104个化学反应和光化学反应.其中,甲烷、一氧化碳和氮氧化物排放分为季节性和非季节性排放源,并将其参数化为时间和纬度的函数再应用到模式中去.按1990年的甲烷、一氧化碳和氮氧化物的的排放水平模拟得到了多种大气组成的分布,模拟结果与观测有较好的一致性.由于模式考虑了一氧化碳的季节变化,模拟得到的OH自由基分布更为合理.模式的建立为今后进一步研究大气微量成分的全球循环过程及其长期变化提供了有效的手段.     

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