High Excitation ISM and Gas

An overview is given of ISO results on regions of high excitation ISM and gas, i.e. HII regions, the Galactic Centre and Supernova Remnants. IR emission due to fine-structure lines, molecular hydrogen, silicates, polycyclic aromatic hydrocarbons and dust are summarised, their diagnostic capabilities illustrated and their implications highlighted. Based on observations with ISO, an ESA project with instruments funded by ESA Member States (especially the PI countries: France, Germany, The Netherlands, and the United Kingdom), and with the participation of ISAS and NASA.     

某型发动机高原起动过程数学模型建立

针对某型发动机高原起动过程具有危险性大和变化规律复杂的特点,提出了一种变记忆长度的小波变换多分辨分析方法。该方法将辨识的数据分解到不同频段,然后针对各不同频段采用不同的记忆长度进行辨识,从而可以建立起该型发动机高原起动过程的数学模型,为高原起动试验提供理论参考。      

基于特征的蒙皮镜像铣加工残区刀轨优化方法

镜像铣加工装备及其加工工艺是蒙皮零件加工的有效手段,其特殊工艺对加工刀轨提出了等步距、无交叉、无抬刀且无残留等特殊要求。针对蒙皮零件加工特征的复杂形状,在满足等步距、无抬刀、无交叉的条件下对加工残留区域进行刀轨优化是一个难题。为解决以上难题,本文提出了一种基于特征的蒙皮镜像铣加工残区刀轨优化方法。该方法基于特征将蒙皮零件的工艺信息与几何信息相关联,自动提取加工特征的加工面及其对应的刀轨,将刀轨分割成若干段子刀轨,并构建子加工区域,再利用布尔并运算得到最终可加工区域。然后对加工面区域与最终可加工区域求布尔差识别出加工残留区域,并根据加工残区位置自适应生成满足蒙皮镜像铣特殊要求的优化刀轨。以典型复杂蒙皮零件验证本文提出的方法,结果表明,基于特征的蒙皮镜像铣加工残区刀轨优化方法可自动识别加工残区,并生成满足蒙皮镜像铣特殊要求的加工残区优化刀轨,为提高蒙皮零件数控编程效率提供技术支撑。     

大气中层顶区域波相互作用的一个观测个例

利用SOUSY VHF雷达的观测数据分析了极区中层顶83.4-91.2km范围内大气风场波动的非线性相互作用。大气风场的谱在不同高度上均有明显的潮汐分量峰值，纬向风分量中35h波、半日潮和8.9h惯必重力波构成共振相互作用对，经向风分量中33h波、半日潮和19h惯性重力波构成共振相互作用对。双谱分析表明，这些共振对在许多高度上都发生耦合，35h或33h波振幅的极小值与半日潮的极大值出现的高度几乎相同，呈现出明显的非线性相互作用在空间上不是局域的，而是存在于中层顶区域的几乎所有高度上，这种相互作用不仅导致半日潮振幅随时间的变化，也使半日潮的振幅随空间变化。35h和33h波动可能是在其他时段或其他位置通过行星波与周日潮相互作用产生的，然后传播到观测点并与半日潮发生相互作用。     

星载全球大气波动成像仪研究

在卫星上对中间层顶区域的气辉辐射成像观测, 对于全球大气波动的监测和研究具有重要的意义. 利用TDICCD对O₂A (0-0)气辉进行成像观测, 计算了曝光积分时间、信噪比和能达到的最高空间分辨率, 分析了地球自转对空间分辨率的影响, 在此基础上提出一种星载全球大气波动成像仪方案, 该方案可以观测垂直波长大于10km的大气波动, 最高水平分辨率可以达到0.33km.      

Measurement of mesopause temperature from hydroxyl nightglow at Kolhapur (16.8°N, 74.2°E), India

The paper reports the nightglow observations of hydroxyl (8–3), (7–2) and (6–2) Meinel band carried out at a low latitude station Kolhapur (16.8°N, 74.2°E, dip latitude 10.6°N), India during November 2002 to May 2005 with the objective of investigating mesopause dynamics based on derived OH rotational temperature. Overall, 132 nights of quality data were collected using filter-tilting photometer and an all-sky scanning photometer. The mean mesopause temperature observed at Kolhapur is 195 ± 11, 196 ± 9 and 195 ± 7 K from OH (8–3), (7–2) and (6–2) band emissions, respectively, using transition probabilities given by Langhoff et al. [Langhoff, S.R., Werner, H.J., Rosmus, P. Theoretical transition probabilities for the OH Meinel system. Journal of Molecular Spectroscopy 118, 507–529, 1986]. Small wave-like variations (periodicities ∼ few hours) existing over long period variations in derived temperatures are also present. A steady decrease of emission intensities from evening to dawn hours has been observed in approximately 59% of nights. No significant change of nightly mean temperatures has been noted. Furthermore, about 62% of observed nightly mean temperatures lie within one error bar of MSISE-90 model predictions.     

基于面板数据模型的中西部地区加工贸易升级研究

我国经济高速发展,劳动力、土地等要素随之发生转变,加工贸易从东部地区向中西部地区转移,中西部地区加工贸易急需升级以适应发展。利用2001-2011年中西部地区部分省份的面板数据建立计量模型,通过检验对混合估计模型、固定效应模型和随机效应模型进行选择,并对选定模型的估计结果进行具体分析,提出中西部地区加工贸易升级的对策及建议。     

Establishment of atmospheric weighted mean temperature model in the polar regions

Due to the special geographical location and extreme climate environment, the polar regions (Antarctic and Arctic) have an important impact on global climate change. Atmospheric weighted mean temperature (Tm) is a crucial parameter in the retrieval of precipitable water vapor (PWV) from the zenith wet delay (ZWD) of ground-based Global Navigation Satellite System (GNSS) signal propagation. In this paper, the correlation between weighted mean temperature and surface temperature (Ts) is studied firstly. It is shown that the correlation coefficients between Tm and Ts are 0.93 in the Antarctic and 0.94 in the Arctic. The linear regression Tm model and quadratic function Tm model of the Antarctic and the Arctic are established respectively using the radiosonde profiles of 12 stations in the Antarctic and 58 stations in the Arctic from 2008 to 2015. The accuracies of the linear regression Tm model, the quadratic function Tm model and GPT2w Tm model which is a state-of-the-art global Tm model are verified using the radiosonde profiles from 2016 to 2018 in the Antarctic and Arctic. Root Mean Square (RMS) errors of the linear regression Tm model, the quadratic function Tm model and GPT2w Tm model in the Antarctic are 3.07 K, 2.87 K and 4.32 K respectively, and those in the Arctic are 3.53 K, 3.38 K and 4.82 K, which indicates that the quadratic function Tm model has a higher accuracy compared to linear regression Tm model, and the accuracies of the two regional Tm models are better than that of GPT2w Tm model in the polar regions. In order to better evaluate the accuracy of Tm in the PWV retrieval, the PWV values of radiosondes are used for comparisons as the reference value. The RMS errors of PWV derived from the two Tm models are similar for 1.28 mm in the Antarctic and 1 mm in the Arctic respectively. In addition, the spatial and temporal variation characteristics of Tm are analyzed in the polar regions by spectral analysis of Tm data using fast Fourier transform. The results show that the Tm has obvious seasonality and annual periodicity in the polar regions, and the maximum difference between warm season and cold season is about 63 K. After comparing and analyzing the influences of latitude, longitude and elevation on the Tm in the polar regions, it is found that latitude and elevation have a greater influence on the Tm than the longitude. As the latitude and elevation increase, the Tm decreases, and vice versa in the polar regions.     

Latitudinal distribution of solar coronal active regions

We studied the cyclic evolution of the latitudinal distribution of solar coronal active regions based on daily images from SOHO EIT for the period 1995–2017. Fully automated software was used, which included the following steps: initial preparation of images in the data series, normalization of histograms and correction of limb brightening, segmentation of images using threshold intensity values obtained from their histograms, scanning of segmented images in heliographic coordinates and obtaining profiles of latitudinal distribution of coronal active regions for each image of the data series. From the output data, we obtained a temporary change in the latitudinal distribution profiles and the migration of activity centers on the solar disk. From the period of minimum activity to the next minimum in both hemispheres, activity centers begin to migrate from high latitudes towards the equator. At the same time, the general center of activity repeatedly changes the direction of migration. The latitudinal distribution of the so-called presence factor of coronal active regions closely resembles the magnetic butterfly diagram, which proves their direct causal relationships. Variations in the presence factor of coronal active regions are correlated with cyclic variations in the sunspot daily numbers.     

Tilts and polarity separation in the sunspot groups and active regions at the ascending and descending phases of the cycle 23

The Solar Feature Catalogues for sunspots and active regions measured with SOHO/MDI instrument and Ca II K3 spectroheliograph of the Paris-Meudon Observatory are analyzed with the automated classification technique for sunspot groups and active region polarities. We report the first classification results for daily variations of tilt angles (normal and trigonometric ones) in sunspot groups (SG) and active (AR) regions in the cycle 23. The average normal tilts are presented for every year at the ascending and descending phases of the cycle 23 which are similar to those deduced by other authors for the cycles 19–22. The normal tilts of both the sunspot groups and active regions are shown to increase in the ascending phase and a decrease in the descending phase. Similar to SG and AR areas, the trigonometric tilts are shown to have the noticeable North–South asymmetry with the Southern hemisphere dominant in the selected ascending and descending periods. The normal tilt variations with latitude follow Joy’s law revealing a periodicity along the meridian of about 10° and reaching the maximum of 14° at the latitude of about 32° corresponding to the top of the ‘royal zone’ where the sunspots appear. The variations of polarity separation with a latitude are in an anti-phase with those of the tilts reaching a maximum at the latitude of 35° and showing a small positive separation for the groups/active regions in a vicinity of the average tilts ±40°. The ratio R of the polarity separation to the trigonometric tilt fits the linear function of a latitude φ as R = −0.0213φ − 0.1245 confirming positive separation for the polarities of active regions with the average tilts, or the dominance of activity in the Southern hemisphere activity, for the selected period of observations.