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1.
1992年大气甲烷增长速率异常
下降的模拟研究 总被引：4，自引：0，他引：4
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。 相似文献
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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%。 相似文献
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大气中一氧化碳浓度变化的模拟研究 总被引：4，自引：1，他引：4
应用全球二维大气化学模式,模拟了CO、CH4和OH自由基等成分自工业革命到2020年的长期变化.模拟的全球CO平均体积分数在1840年、1991年和2020年分别为27×10-6、76×10-6和105×10-6.从1840到1991年,OH自由基数浓度从7.17×105个分子/cm3下降到5.79×105个分子/cm3,降低了19%.模拟的CH4长期变化与冰芯资料相符.模拟的20世纪80年代CO体积分数年增长率为1.03%～1.06%.大气中CO在20世纪90年代前是增长的,而到90年代初观测到CO体积分数突然下降.应用二维大气化学模式对此原因进行了模拟研究,结果表明,CO排放源的减少是CO体积分数下降的主要因子,平流层臭氧减少是另一个重要因子.尽管CO排放源的减少对大气CH4增长率的变化有较大影响,而CH4排放源减少对CO体积分数变化却几乎没有影响. 相似文献
4.
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。 相似文献
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全球大气角动量变化的比较分析 总被引：2，自引：0，他引：2
利用日本气象局ＧＳＭ９６０３大气数值模式和客观分析资料以及美国环境预报中心大气再分析数据研究比较全球大气角动量变化。分析表明，三者大气质量再分布角动量东经９０°Ｅ分量的符合程度要好于格林威治方向的分量；而且ＧＳＭ９６０３对大气轴向相对角动量季节变化的强度模拟与其他两者一致，并明显优于第一阶段 ＡＭＩＰ ２３个大气环流模式的平均模拟结果。另外，ＧＳＭ９６０３大气相对角动量的年际变化基本显示了厄尔尼诺变化的主要历程。 相似文献
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文章扼要介绍了基于LASG/IAP大气环流谱模式(SAMIL)的气候系统模式的新版本FGOALS-s的发展和结构。出于发展一个在东亚季风模拟方面有一定优势的气候系统模式之目的,FGOALS-s的大气模式分量SAMIL采用了较高的水平分辨率R42,这相当于2.8125°(经度)×1.66°(纬度),高于三角截断T42的分辨率。对FGOALS-s在模拟大气、陆面、海洋和海冰的气候平均态,以及主要的年际变率信号方面的能力进行了检验。分析表明,FGOALS-s成功地控制了气候漂移趋势,能够较为真实地模拟大气、海洋和陆面的气候平均态,特别是受益于大气模式的较高分辨率,由中国西南向东北延伸的夏季风雨带的分布,在模式中得到较为真实的再现,表明该模式在东亚夏季风的模拟上具有较强能力。耦合模式能够成功再现El Ni~no事件的非规则周期变化,但是其年际变化的振幅较之观测要弱。赤道中西太平洋年际变率的强度较之赤道中东太平洋要强。在中高纬度,模式模拟的北大西洋涛动模态,在空间分布上与观测接近。FGOALS-s模式存在的主要问题,是模拟的热带海温偏冷、而中纬度海温则偏暖,原因是模式模拟的云量分布存在偏差,它直接影响到海表的净热通量收支。模式模拟的北大西洋高纬度地区的海温明显偏冷,令该地区的年平均海冰分布的范围明显偏大;然而受南极周边海温偏高影响,南极洲周围的海冰范围则偏少。FGOALS-s的未来工作重点,宜放在大气模式的云过程、海洋模式的经向能量输送过程、以及海洋与大气的淡水通量耦合方案的改进方面。 相似文献
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全球环境大气输送模式(GEATM)的建立及其验证 总被引：10，自引：5，他引：10
初步建立了以二氧化硫、硫酸盐、黑碳、沙尘气溶胶等作为主要研究对象的全球环境大气输送模式(Global Environmental Atmospheric Transport Model,GEATM),其水平分辨率为1°×1°,垂直方向分为20层,采用地形追随坐标系,考虑了上述大气化学成分的地面源排放、平流与扩散、化学转化以及干沉降、湿清除等过程.利用NCEP/NCAR再分析资料作为驱动气象场,对2004年进行长期模拟,分析了二氧化硫、硫酸盐、黑碳、沙尘气溶胶的浓度分布和输送态势.与观测的比较表明,模式对于大气化学成分分布状况具有较强的模拟能力,在欧洲的Jarczew和Leba观测站,二氧化硫日平均浓度的相关系数分别达到了0.69和0.66;在中国,有47个站点的二氧化硫日平均浓度相关系数高于0.50,其中北京、天津、上海等28个站点的浓度相关系数达到了0.60以上.同时,模拟的沙尘气溶胶总体柱浓度分布状况与卫星观测输出的气溶胶光学厚度具有很好的一致性,体现了气溶胶粒子的输送态势和分布特征.模拟结果显示二氧化硫、硫酸盐、黑碳的浓度高值区主要位于污染排放较大的欧洲、东亚和北美地区,二氧化硫地面最大年均浓度值为1500×10-12,硫酸盐为500×10-12,黑碳气溶胶为1000ng/m3.沙尘浓度与下垫面土壤类型以及地面气象条件关系密切,全球沙尘浓度主要分布在撒哈拉沙漠、阿拉伯半岛、中亚地区、澳大利亚西部以及拉丁美洲南部地区,并且呈现了较为显著的季节变化特征,撒哈拉沙漠输送最强时期是在6～8月,影响范围覆盖了整个赤道大西洋,最西端伸展到了北美的加勒比海地区;阿拉伯半岛沙尘输送最强时期是3～8月,影响范围包括阿拉伯海和孟加拉湾地区;亚洲在3～5月有非常强烈的沙尘东传过程,浓度输送带一直贯穿了整个北太平洋地区. 相似文献
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结合MEIC大气污染物排放源清单,利用耦合了大气化学模式的中尺度气象数值模式WRF-Chem,对2016年5月6日广东地区一次深对流天气过程及其大气化学气体成分变化进行模拟,着重研究深对流系统对大气化学气体成分再分布的影响。结果表明:数值模拟较真实地再现了这次深对流天气过程中大气污染物的时空分布特征。通过计算,评估了这次对流降水对不同溶解度的大气污染气体的湿清除效率,发现湿清除过程对低溶解度大气污染气体CO、NO_2和O_3的湿清除效率几乎可以忽略不计,而对SO_2、H_2O_2和HNO_3的湿清除效率则分别达到50.8%、98.6%和38.2%。随着溶解度的增大,清除效率并不一定增大,这是因为大气物理和化学过程共同影响着气体污染物的清除效率。 相似文献
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IAP AGCM-Ⅰ水平分辨率的提高及对全球和东亚区域气候的数值模拟 总被引：3，自引：2，他引：1
在中国科学院大气物理研究所(IAP)第一代大气环流模式(AGCM1.2)的基础上,将其水平分辨率从原先的4°×5°分别提高到2°×2.5°和1×1.25°,得到更新版本的IAP AGCM1.3a(水平分辨率为2°×2.5°)和IAP AGCM1.3b(水平分辨率为1°×1.25°).利用上述水平分辨率提高后的模式进行了长时间积分,分析模式模拟结果可知:水平分辨率的提高确实可以在一定程度上改进气候模式对当代气候的模拟能力,特别是对地形雨以及东亚夏季风降水细致分布的模拟.从而为进一步改进IAP跨季度数值气候预测系统,提高短期气候预测能力提供了模式基础. 相似文献
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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. 相似文献
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Fei LIU Chen XING Jinbao LI Bin WANG Jing CHAI Chaochao GAO Gang HUANG Jian LIU Deliang CHEN 《大气科学进展》2020,37(7):663-670
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. 相似文献
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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. 相似文献
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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. 相似文献
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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. 相似文献
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Yuepeng PAN Mengna GU Yuexin HE Dianming WU Chunyan LIU Linlin SONG Shili TIAN Xuemei Lü Yang SUN Tao SONG Wendell W. WALTERS Xuejun LIU Nicholas A. MARTIN Qianqian ZHANG Yunting FANG Valerio FERRACCI Yuesi WANG 《大气科学进展》2020,37(9):933-938
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 相似文献
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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 Nio3.4 index in summer and autumn but negatively correlated in spring and winter. 相似文献
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Analysis of Atmospheric Boundary Layer Height Characteristics over the Arctic Ocean Using the Aircraft and GPS Soundings 
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下载免费PDF全文 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 相似文献
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《大气科学进展》2014,(6)
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; 相似文献