Intensity and Magnetic Field Distribution of Sunspots

We study the relationship between the brightness (I) and magnetic field (B) distributions of sunspots using 272 samples observed at the San Fernando Observatory and the National Solar Observatory, Kitt Peak, whose characteristics varied widely. We find that the I – B relationship has a quadratic form for the spots with magnetic field less than about 2000 G. The slope of the linear part of the I – B curve varies by about a factor of three for different types of spots. In general the slope increases as the spot approaches disk center. The I – B slope does not have a clear dependency on the spot size but the lower limit appears to increase as a function of the ratio of umbra and penumbra area. The I – B slope changes as a function of age of the sunspots. We discuss various sunspot models using these results.     

地基微波辐射计探测在黄河上游人工增雨中的应用

利用2003、2004年夏秋季在青海省河南县的地基双频段微波辐射计连续观测资料,在实施系统探测实验以进行辐射亮温值(TB(23.87),TB(31.65))与大气汽态总水汽含量(Q)和云中积分液态水含量(L)值反演处理的基础上,分析了黄河上游河曲地区的云水特征,并进行了降水预测及人工增雨作业指标的探讨。结果表明:在黄河上游河曲地区,7—9月纯晴天无云天气条件下,L值基本为0,表明了统计回归反演的显著性。多云条件下Q值和L值分别在3.76~4.75g·cm-2、227.34~859.42g·m-2的范围内。可降水云天气,Q值在5.23~8.65g·cm-2间,L值在421.18~1016.37g·m-2的范围内;积雨云个例分析表明,在降雨开始前近5小时的降雨酝酿期内,Q及L的增加有明显的波动,但在对流云出现并发展时,Q和L总是急剧上升,在降雨前达到一峰值;由河南站和西安站的Q、L值比较差异可以看出,Q、L值受水汽输送、地形等因素的影响,黄河上游河曲地区的人工增雨潜力有显著的优势;所计算出的降水预测阈值,可作为该地区人工增雨作业指标的参考。     

基于嫦娥二号微波辐射计数据月球中低纬度亮温异常区地质分析研究

月球表面的微波辐射亮度温度与月表地质结构和月表物质的物理化学特性相关。为了对月球亮温分布异常区域进行地质分析,文章首先计算嫦娥亮温数据的时角,采用克里金插值的方法得到了不同频率不同时刻中低纬度的微波亮温图。结合奇异值分解(SVD)模型分析了月表亮温变化异常,结果表明风暴洋位置和靠近月海东北部的高地区域等存在亮温变化异常,月海区域(除风暴洋外)为3 GHz和37 GHz两个场的总体相关区域。通过对月球火山分布地区的区域亮温变化进行分析,发现这热异常可能是由于月球火山活动造成的。     

Estimation Of Sensible Heat Flux From The Surface Temperature Wave And One-Time-Of-Day Air Temperature Observation, Part Ii – Heterogeneous Surfaces

By means of the algorithm presented in Part I of this study, the temporal course H(t) and the daily mean H of the sensible heat flux H can be determined from measurements of the thermodynamic surface temperature (as a function of time) and from a one-time-of-day air temperature observation. Inaddition to these temperatures, one needs estimates of daily mean wind speed,of the roughness lengths of momentum and heat transfer, and of the displacementheight. In Part I, the algorithm was derived for areas with homogeneous surfaces,i.e., with uniform surface temperature, and the method was verified with measurements taken during several field campaigns. The root mean square error for the temperature difference between surface and air, in the comparison between measurement and model, amounted to one or two kelvin, and the error of H was 10 to 25 per cent. The method can be used to determine the sensible heat flux from measurements of surface temperatures by satellites, but can also be applied to ground based measurements.In Part II, the procedure is generalized for areas that consist of various surface types (sub-regions) with different surface temperatures, and can be usedwhen only a few (at least one) air temperature measurements per day are available over only one of the different sub-regions. This generalization should allow improvements to the estimates for H(t) by means of temperature measurements from, e.g., NOAA/AVHRR or LANDSAT/TM, taking into account the heterogeneity of the area contained in one METEOSAT pixel. Criteria are given as to whether effective (areal mean) surface temperatures and roughness lengths may be used for the computation of H or if the above mentioned generalized procedure has to be applied. The new algorithm is verified by measurements sampled during the field campaigns EFEDA 91 (Spain) and HIBE 89 (Hildesheimer Börde in Germany), and by using synthetic data (due to the lack of measured data) for one further combined surfacetype [soil and water (lakes)].     

建立天空场景的模拟算法

建立真实感的天空场景,在环境仿真和气象现象模拟中,有着极其重要的应用价值,也是计算机可视化研究中的难题。首先通过确定色彩层次模型,改进基于中点的变位方法生成基本云图,然后使用基于图像的方法进行云图映射,最后融合气象信息要素等过程生成天空背景,并采用光照叠加、背景合成及色彩调整等方法,产生千姿百态、形象逼真的天空场景图。可在多种气象现象的模拟仿真,纹理贴图的产生以及气象信息可视化系统的开发等方面发挥重要的作用。     

A scheme for estimating tropical cyclone intensity using AMSU-A data

Brightness temperature anomalies measured by the Advanced Microwave Sounding Unit （AMSU） on the National Oceanic and Atmospheric Administration （NOAA） polar-orbiting series are suited to estimate tropical cyclone （TC） intensity by virtue of their ability to assess changes in tropospheric warm core struc-ture in the presence of clouds. Analysis of the measurements from different satellites shows that the variable horizontal resolution of the instrument has significant effects on the observed brightness temperature anoma-lies. With the aim to decrease these effects on TC intensity estimation more easily and effectively, a new simple correction algorithm, which is related to the product of the brightness temperature gradient near the TC center and the size of the field-of-view （FOV） observing the TC center, is proposed to modify the observed anomalies. Without other measurements, the comparison shows that the performance of the new algorithm is better than that of the traditional, physically-based algorithm. Furthermore, based on the correction algorithm, a new scheme, in which the brightness temperature anomalies at 31.4 GHz and 89 GHz accounting for precipitation effects are directly used as the predictors with those at 54.94 GHz and 55.5 GHz, is developed to estimate TC intensity in the western North Pacific basin. The collocated AMSU-A observations from NOAA-16 with the best track （BT） intensity data from the Japan Meteorological Agency （JMA） in 2002-2003 and in 2004 are used respectively to develop and validate regression coefficients. For the independent validation dataset, the scheme yields 8.4 hPa of the root mean square error and 6.6 hPa of the mean absolute error. For the 81 collocated cases in the western North Pacific basin and for the 24 collocated cases in the Atlantic basin, compared to the BT data, the standard deviations of the estimation differences of the results are 15% and 11% less than those of the CIMSS （Cooperative Institute for Meteorological Satellite Studies, Univ     

晴空回波特征与风场信息应用

为研究晴空回波风场信息在对流性降水天气中的预警应用价值,选取山东省临沂雷达站2008—2013年5—9月的观测数据分析降水晴空回波特征。研究发现:临沂地区5—9月约87%的日数会出现晴空回波,且90%以上出现在距离雷达站100km范围之内,反射率因子多在10~25dBz,具有明显日变化;晴空回波的速度产品能提供有效监测对流性降水出现前的大气低层风场信息,能一定程度反映低层湍流的耗散率,对降水过程有一定的指示性,相关研究成果对降低对流天气漏报率和提高预警提前量有重要意义。     

一种Brovey变换图像融合法的改进算法

分析了的Brovey变换融合算法,提出了一种新的基于Brovey变换、对数变换亮度调整的图像融合方法,试验数据的对比和分析证明了其保留多光谱影像的光谱信息.     

南极中山站以南地区冰面高程信息的提取

在实地高程控制点与热红外影像上同名像点的辐射亮度值间建立函数关系，从Ｌａｎｄｓａｔ４ＴＭ６影像上提取出中山站附近冰面的高程信息，并绘制成冰面地形图。     

断层失稳错动热场前兆模式：雁列断层的实验研究

在实验室使用红外热像仪和接触式测温仪同步观测记录了压性和张性雁列断层失稳错动前后的热场变化过程.从实验记录中发现,在断层失稳引起温度场和热红外辐射亮温温度场上升之前,在两断层段之间的岩桥区发生降温变化.断层带开始升温发生在失稳前2～3 s内,岩桥区的降温却发生在失稳前约20s,这两个超前时间长度相差近一个量级.此类热场先降后升变化过程在雁列构造变形中有一定的普遍性,可能作为雁列断层失稳错动的热场前兆模式.根据实验观测结果,详细描述了上述热场变化的时间过程及其空间分布特征,分析了产生此种失稳前兆模式的机制,显著异常出现的条件及有利观测部位,讨论了它在地震前兆探索等研究中的意义.