DSRT三轴低频天线指向误差批量测量和校正方法

稻城圆环阵太阳射电望远镜(Daocheng Solar Radio Telescope, DSRT)作为子午工程二期太阳-行星际探测子系统的重要部分, 工作在150--450MHz频段, 可提供高空间、高时间分辨率的太阳爆发亮温图像. 针对DSRT天线的高精度指向测量以及对指向误差批量标定和校正的需求, 首先根据DSRT独有的三轴座架系统, 通过四元数旋转变换法建立了天线3参数编码器零点误差模型; 然后提出了基于射电源的漂移扫描法获得16个单元天线功率方向图, 并根据2维方向图确定波束中心的方法精确测量了DSRT天线指向误差; 最后用最小二乘法拟合得到模型参数, 并通过天线控制软件重新调整各个轴的零点, 后对调整结果进行验证. 结果表明指向校正方法可靠有效, 校正后16个天线的指向精度为0.5$^\circ$之内, 明显优于校正前3.5$^\circ$的指向误差, 满足误差小于DSRT天线最高工作频率下的1/10波束范围内的要求.     

A possibility to classify local radio sources by fluctuation power spectra

TNA–1500 radio telescope observations data of radio emission from local sources of different types have been examined. The established quantitative peculiarities of spectral and integral characteristics of fluctuations can be used for forecasting flare activity by means of pattern recognition technique.     

2010-2019年粤港澳地区气溶胶光学厚度时空分布特征

为了解粤港澳地区气溶胶光学厚度分布和时序变化规律, 深入认识大气气溶胶的光学特性及其气候效应, 利用2010—2019年的MODIS C61 AOD 3 km逐日产品, 分析了粤港澳地区的AOD空间分布及年、季、月变化特征。(1) MODIS AOD与AERONET CE318 AOD最优拟合系数为0.96, 与SolarSIM-D2 AOD拟合系数为0.62, 与PM < sub > 2.5 < /sub > 、PM < sub > 10 < /sub > 的最优拟合系数为0.58、0.56。(2)空间上表现为珠三角AOD值高, 粤西次之, 粤北及粤东北较低。(3)年变化特征整体上呈明显的下降趋势, 2010—2014年AOD波动上升, 至2014年达到峰值, 2015年后AOD显著减小, 于2016年达到最低值。(4)季节上表现为春季 > 夏季 > 秋季 > 冬季。(5)月变化特征表现为3月最大(AOD值: 0.73), 4月次之, 5—8月AOD维持在高值且波动平稳, 9—12月显著下降。研究显示, 粤港澳地区颗粒物污染防治应以佛山、广州等珠江三角洲城市及粤西为主, 重点控制春夏季高污染企业生产强度及颗粒物排放。      

基于地基遥感的灰霾气溶胶光学及微物理特性观测

近年来北京地区冬季频繁遭受灰霾污染的侵袭,在2013年1月又出现了长时间、大范围的严重灰霾污染天气,引发广泛关注和热议。为了解北京地区2013年1月严重灰霾污染过程中大气气溶胶特性,本文基于地基太阳-天空辐射计CE318观测数据,反演了气溶胶光学和微物理参数,并据此对1月份第二次严重污染过程进行了详细分析。研究表明：（1）2013年1月北京地区灰霾污染期间,气溶胶光学厚度较大,在440 nm处均值达到0.87,在个别严重污染天气下高达3左右;（2）气溶胶光学与物理参数与灰霾过程密切相关,Ångström指数由清洁大气时的1.3降到灰霾污染时的0.95,复折射指数虚部均值由污染前的0.04下降为污染过程中的0.01,单次散射反照率均值则由0.73增大到0.92,同时不对称因子均值从0.58增大到0.67;（3）灰霾污染过程中细模态气溶胶比例较高,占总体积比例平均达到73.0%,最高达90.5%,在灰霾污染中气溶胶细模态平均峰值半径随光学厚度增大而增大,清楚表明了灰霾过程中颗粒物的吸湿增长效应,粗模态平均峰值半径随光学厚度的增加而减小,在污染最严重时,粒子谱分布峰值半径约为0.43 μm。     

厄尔尼诺与太阳黑子和大气环流的关系及其预报

通过对1956-1996年11次厄尔尼诺现象与太阳黑子、大气环流的关系分析,发现有一定规律,用概率统计方法建立起厄尔尼诺的预报模式。     

地球自转速度的年变化

本文利用宋贯一等（2006）发表的“极移的成因及其移动特征”一文中的自转轴受迫摆动资料,从理论上推断出地球自转速度年变化的特征.结果证明,理论计算出的地球自转速度年变化曲线形态特征与观测曲线形态特征十分吻合.从而得出,太阳辐射光压在南、北半球的不平衡分布是引起地球自转速度年变化的主要原因.     

A note on strong mass loss from early sun and warm and wet Mars

Recently, the possibility of strong mass loss from an early sun has been proposed in connection with the lithium depletion problem along with early solar system problems. However, the time scale for this enhanced mass loss is uncertain. Using an empirical relation for the dependence of the Martian surface temperature on solar luminosity and surface pressure, we find that the mass loss time scale for a 1.1 M sun should be about 1 × 10⁹ years or longer if Mars had liquid water on its surface 3.8 billion years ago. The minimum surface pressure on early Mars should be about 5 bars of CO₂.     

Probability Distribution of Surface Wave Slope Derived Using Sun Glitter Images from Geostationary Meteorological Satellite and Surface Vector Winds from Scatterometers

The probability distribution of the sea surface slope has been estimated using sun glitter images derived from the visible wavelength radiometer on the Geostationary Meteorological Satellite (GMS) and surface vector winds observed by spaceborne scatterometers. The brightness of the visible images is converted to the probability of wave surfaces which reflect the sunlight toward GMS in grids of 0.25° × 0.25° (latitude × longitude). The slope and azimuth angle required for the reflection of the sun's rays toward GMS are calculated for each grid from the geometry of GMS observation and location of the sun. The GMS images are then collocated with surface wind data observed by three scatterometers. Using the collocated data set of about 30 million points obtained in a period of 4 years from 1995 to 1999, the probability distribution function of the surface slope is estimated as a function of wind speed and azimuth angle relative to the wind direction. The results are compared with those of Cox and Munk (1954a). The surface slope estimated by the present method shows a narrower distribution and much less directivity relative to the wind direction than that reported by Cox and Munk. It is expected that their data were obtained under conditions of growing wind waves. In general, wind waves are not always developing, and the slope distribution might differ from the results of Cox and Munk. Most of our data are obtained in the subtropical seas under clear-sky conditions. This difference in the conditions may be the reason for the difference of slope distribution. This revised version was published online in July 2006 with corrections to the Cover Date.     

光谱仪测量离水辐射亮度的方法

概述了利用光谱仪在水面上方进行水表光学特性测量和基本原理与测量方法，以及处理和计算离水辐射亮度、归一化离水辐射亮度及遥感反射比等水表光学特性参数的主要方法。对1998年东海3个站点的测量数据进行了处理和分析，并与剖面法计算结果进行了比较。     

SOLAR-TERRESTRIAL AND CLIMATIC PHENOMENA IN RELATION TO SOLAR INERTIAL MOTION

The time series of solar and volcanic activities have been processed to show, mostly by means of statistical characteristics, the exceptional and recurring pattern of these phenomena in the intervals of the exceptional and recurring pattern of solar motion, i.e. in the intervals of the Sun's motion along the trefoils which reoccur in steps of 178.7 years. Nearly the same sets of five sunspot cycles have been found in the latest trefoil intervals (1730–1780 and 1910–1960), their length being constant and equal to 10 years (cycles No. 15–19). The steadily attenuated volcanic activity have been pointed out in the three latest trefoil intervals. The long-term maxima of surface air temperature occured in the central decades of the trefoil intervals. The results indicate a primary role of solar motion in a causal chain of ST-relations and a need of taking the Solar System as a whole into account to explain climatic changes. The solar motion can be computed in advance. Predictive assesments, so far in form of analogies, have been made: Because the solar motion in the next decades will be chaotic, lower and longer solar cycles (with irregular length), ocurrence of huge volcanic events and a decrease of global surface air temperature can be expected.