Analysis of the positive ionospheric response to a moderate geomagnetic storm using a global numerical model

Current theories of F-layer storms are discussed using numerical simulations with the Upper Atmosphere Model, a global self-consistent, time dependent numerical model of the thermosphere-ionosphere-plasmasphere-magnetosphere system including electrodynamical coupling effects. A case study of a moderate geomagnetic storm at low solar activity during the northern winter solstice exemplifies the complex storm phenomena. The study focuses on positive ionospheric storm effects in relation to thermospheric disturbances in general and thermospheric composition changes in particular. It investigates the dynamical effects of both neutral meridional winds and electric fields caused by the disturbance dynamo effect. The penetration of short-time electric fields of magnetospheric origin during storm intensification phases is shown for the first time in this model study. Comparisons of the calculated thermospheric composition changes with satellite observations of AE-C and ESRO-4 during storm time show a good agreement. The empirical MSISE90 model, however, is less consistent with the simulations. It does not show the equatorward propagation of the disturbances and predicts that they have a gentler latitudinal gradient. Both theoretical and experimental data reveal that although the ratio of [O]/[N₂] at high latitudes decreases significantly during the magnetic storm compared with the quiet time level, at mid to low latitudes it does not increase (at fixed altitudes) above the quiet reference level. Meanwhile, the ionospheric storm is positive there. We conclude that the positive phase of the ionospheric storm is mainly due to uplifting of ionospheric F2-region plasma at mid latitudes and its equatorward movement at low latitudes along geomagnetic field lines caused by large-scale neutral wind circulation and the passage of travelling atmospheric disturbances (TADs). The calculated zonal electric field disturbances also help to create the positive ionospheric disturbances both at middle and low latitudes. Minor contributions arise from the general density enhancement of all constituents during geomagnetic storms, which favours ion production processes above ion losses at fixed height under day-light conditions.     

空间GPS无线电掩星反演大气参数方法及其应用

给出了空间无线电掩星反演大气参数的原理及其误差估计方法,介绍了国内外在该领域的研究进展。并针对该技术的一些特点,指出了若干尚需解决的问题。     

Impact of atmospheric parameters on the atmospheric Cherenkov technique

Atmospheric density profiles as well as several light absorption and scattering processes depend on geographic position and are generally time-variable. Their impact on the atmospheric Cherenkov technique in general (imaging or non-imaging) is investigated. Different density profiles lead to differences in Cherenkov light density of up to 60%. Seasonal variations at mid-latitude sites are of the order of 15–20%. The quest for improved energy calibration of Cherenkov experiments also shows the need for improved transmission calculations, taking all relevant processes into account and using realistic profiles of absorbers. Simulations including the scattering mechanisms also reveal the relevance of Rayleigh and Mie scattering for atmospheric Cherenkov experiments. Refraction and the differences between treating the atmosphere in plane-parallel or spherical geometry are also investigated.     

Atmospheric Pb and Cd input into the Baltic Sea: a new estimate based on measurements

Bulk deposition samples were collected during a summer (1997) and a winter (1998) measurement campaign at four coastal stations along the southern Baltic Sea coast and on the Island of Gotland. The data were used to construct Pb and Cd deposition fields over the Baltic Sea. A weak gradient with decreasing deposition rates from the southwest towards the east and north was obtained for Pb. In the case of Cd, the spatial distribution pattern was characterized by an extreme deposition maximum at the Polish station on the Hel Peninsula. The total atmospheric input of Pb and Cd into the Baltic Sea was 550 and 33 t/year, respectively, and exceeds the riverine input by approximately about 50%. Previous measurement-based estimates were higher by a factor 2–3 and indicate a decrease of the atmospheric deposition during the past 10–15 years. The comparison with modelled deposition data yielded partly large differences and was impaired by the fact that 1990 emission inventories were used whereas our measurements were performed in 1997/1998.Relating our deposition estimate and the Pb/Cd input by rivers to the mean concentrations in Baltic Sea water, residence times of 0.29 and 3.6 years were obtained for Pb and Cd, respectively.     

地面GPS探测大气的最新进展

综述了利用地面ＧＰＳ站探测大气的技术，包括基本原理，方法，应用，最新进展和结果的介绍以及存在于该技术的误差源的讨论。从地面ＧＰＳ站的观测和表面气象参数可得出天顶湿延迟的估计，再由它和可降水汽量之间的转换关系就可得出ＰＷＶ估计。这种方法求得的ＰＷＶ时间序列不仅能提高天气预报的准确度而且有助于气候变化的研究和数值天气预报模型的改进，这就是新兴学科ＧＰＳ气象学形成的基础。     

特高压跨区域输电对空气质量的影响研究

依托“锡盟—济南”特高压输电工程,根据WRF-Chem V3.7大气化学模式系统对北京及周边地区污染物浓度变化进行模拟和评估,设置不同地点、不同高度、不同排放量等,定量化评估特高压跨区域输电工程对受端区域空气质量的影响。结果表明：不同气象条件下,东南小风的情况下,工程对北京大气环境影响范围最大;根据虚拟电厂的高度,对9 m、27 m、46 m、64 m、91 m、130 m、185 m和255 m高度分别评估,发现在电源点附近,对91 m空间层的大气PM_2.5浓度影响最大;远距离输送后,对0—45 m空间高度层的大气PM_2.5浓度影响最大;“锡盟—济南”特高压工程配套电源点对北京地区相关污染物浓度变化影响极小。     

1961—2020年郑州主城区大气自净能力变化特征分析

利用郑州市主城区1961—2020年气象观测资料和2014—2018年空气质量监测数据,分析了郑州主城区大气自净能力指数的长期变化趋势与影响因子以及2014—2018年主城区大气自净能力与PM_2.5的关系。结果表明：郑州主城区大气自净能力指数30 a气候均值为4.42 t·(d·km²)^-1,春季大气自净能力最强,为5.20 t·(d·km²)^-1;秋季大气自净能力最弱,为3.88 t·(d·km²)^-1,不利于对大气污染物的清除。1961—2020年郑州主城区大气自净能力呈显著的减弱趋势,其中1969年最强为6.85 t·(d·km²)^-1,2020年最弱为3.06 t·(d·km²)^-1。影响因子中,1961—1980年混合层厚度与大气自净能力指数呈正相关;日平均风速≥2.5 m·s^-1的日数和小风日数与大气自净能力分别呈...     

1981—2018年中国东北地区秋冬季霾日变化及其与北极海冰的关系

利用中国东北地区1981—2018年166个地面气象观测站资料,定义了中国东北地区秋冬季霾日指数,分析了年际尺度上该地区霾日数与同期大气环流异常的内在关系。结果表明：中国东北地区秋冬季霾日指数存在显著的年际变化特征,欧亚—太平洋遥相关型(Eurasia-Pacific Teleconnection Pattern, EUP)负位相、东亚大槽偏弱等大气环流异常配置导致中国东北地区秋冬季霾的发生频次增加。巴伦支海与喀拉海北部海域是影响中国东北地区秋冬季霾日年际变化的海冰关键区,该区域海冰面积与霾日数呈显著负相关,北极海冰通过改变大气环流间接影响中国东北地区秋冬季霾日发生频次,当北极海冰异常偏少时,东亚冬季风偏弱,近地面风速偏低,环境湿度偏高,中国东北地区受东北亚异常反气旋西侧的异常偏南风控制,且受“EUP”负位相模态影响,东亚大槽减弱,有利于大气污染物和水汽向中国东北地区输送,该地区秋冬季霾的发生频次增加。     

2018年春季北京一次沙尘天气边界层特征及来源分析

2018年3月27—28日,内蒙古中东部、中国东北地区、华北等地出现一次大范围沙尘天气.28日凌晨,沙尘进入北京,受此影响北京出现了严重的污染天气.本文利用中国气象局地面常规观测资料、气溶胶激光雷达、风廓线雷达资料、生态环境部大气成分等资料分析了北京沙尘天气前后边界层特征、沙尘来源以及沙尘天气前后大气污染特征.结果表明...     

祁连山老虎沟地区夏季大气颗粒物中水溶性离子的变化特征

为了研究青藏高原东北缘老虎沟地区大气颗粒物中水溶性无机离子组分的变化特征,于2016年7月16日至8月11日共采集13个PM_2.5样品和4套粒径分级样品。研究结果显示：非沙尘期间,水溶性离子总质量浓度为2.35 μg·m^-3,主要离子SO₄^2-、Ca²⁺、NH₄⁺和NO₃^-的浓度分别为1.28、0.33、0.32和0.28 μg·m^-3,约占水溶性离子浓度总和的94%;沙尘期间,水溶性无机离子总质量浓度为12.63 μg·m^-3,是非沙尘期间浓度的5倍,主要离子SO₄^2-、Ca²⁺、Cl^-、Na⁺和NO₃^-的浓度依次为5.36、4.77、0.80、0.62和0.61 μg·m^-3,约占水溶性离子浓度总和的96%。分级样品分析结果表明,NO₃^-主要分布在粗颗粒模态,可能是前体物在粉尘表面发生非均相反应产生。在沙尘时期,SO₄^2-主要为粉尘贡献,集中分布在粗颗粒模态。在非沙尘时期,SO₄^2-在粗颗粒模态和积聚模态都有较多的分布。积聚模态的SO₄^2-主要是通过前体物与NH₃发生均相反应产生。据估算,非沙尘时期的二次反应对PM_2.5中SO₄^2-的贡献约为80%。