Modeling coseismic displacements resulting from SAR interferometry and GPS measurements during the 1997 Umbria-Marche seismic sequence

In this study we analyse coseismic GPS displacements and DInSAR data to constrain a dislocation model for the three largest earthquakes of the 1997 Umbria-Marche seismic sequence. The first two events, which occurred on September 26 at 00:33 GMT (Mw 5.7) and 09:40 GMT (Mw 6.0) respectively, are investigated using both GPS displacements and DInSAR interferograms. We discuss and compare the results of previous studies which separately modeled a smaller subset of geodetic data. We provide a dislocation model for these two earthquakes which fits well both GPS and DInSAR data and agrees with the results of seismological and geological investigations. The first event consists of a unilateral rupture towards the southeast with a uniform dislocation. The strike, rake and dip angles are those resulting from the CMT solution. The second event consists of an unilateral rupture towards the northwest and a variable slip distribution on the fault plane. The strike and the rake are consistent with the CMT solution, but the dip angle has been slightly modified to improve the simultaneous fit of GPS and DInSAR data. While the second rupture (09:40 GMT) arrived very close to the surface, the fit to geodetic data shows that the first rupture (00:33 GMT) is deeper (2 km), despite the more evident surface geological effects. The analysis of new SAR interferograms allows the identification of a 5–6 cm additional displacement caused by the October 3 (Mw 5.2) and 6 (Mw 5.4) seismic events.We use data from a new DInSAR interferogram to model the displacement field of the Sellano earthquake of October 14, 1997. For this event significant GPS measurements were not available. We tested two different fault plane geometries: a blind, planar fault (top depth = 2.4 km), and a curved (listric) fault reaching the surface. The two models provide a generally similar fit to the data, and show that most of the slip was released at depths greater than 2.4 km along a gently dipping (40^°–45^°) fault surface. They also show that a unilateral rupture does not allow fitting the interferometric fringes since there is evident surface deformation to the northwest of the hypocenter. Moreover, we suggest that the concentration of high residuals in the southern part of our uniform slip model may in fact indicate a certain slip variability in this area.We conclude that, despite the moderate magnitudes and the lack of significant surface faulting, the space geodetic data allowed to constrain dislocation models giving new insights in the rupture process of the three largest events of the sequence.     

InSAR复数影像配准方法探讨

复数影像配准是卫星合成孔径雷达干涉数据处理中的重要步骤之一,本文对目前影像配准最常用的方法进行了研究分析,提出了基于幅度影像的配准方案,并证明该方案配准精度高,适应能力强,运算效率高.     

夏季乌拉尔地区大气环流持续异常的形成与维持

从天气尺度瞬变涡旋与时间平均基本气流双向相互作用建立异常型的角度，研究了夏季乌拉尔地区大气环流持续异常的形成与维持，首先基于合成分析，研究了持续异常期间的天气尺度瞬变波活动情况，结果表明：正异常时，在上游地区，从北大西洋中部到西欧沿岸，瞬变活动明显增强。负异常过程时相反，该地区瞬变活动减弱。利用线性正压原始方程模式，研究了在合成正异常基本流及7月气候基本流等两种基本流下，正异常时上游异常瞬变活动对异常建立的贡献。结果表明：正异常时，上游增强的瞬变波活动有利于正异常的建立与维持。利用基于线性正压原始方程模式设计的风暴轴模式，研究了时间平均基本流在组织与调控瞬变活动中所起的作用。结果表明：当乌拉尔地区高压脊发展时，有利于瞬变在上游的北大西洋中部到西欧沿岸地区组织起来。脊发展越强，越有利。结合上述两方面的结果，提出了瞬变与行星波双向相互作用的乌拉尔持续正异常形成和自维持机制。     

中国东南部5—8月持续性强降水和环流异常的准双周振荡

利用1979—2009年夏季(5—8月)中国站点逐日降水资料、NCEP/NCAR大气再分析资料以及向外长波辐射(OLR)资料,分析了中国东南部夏季持续性强降水的低频特征及其伴随的低频大气环流形势,利用超前滞后合成的方法对该低频信号的来源和传播特征进行了研究。结果表明:中国东南部夏季降水存在明显的准双周低频振荡,低频降水事件(持续性强降水)在6月10日前后和7月1日前后发生的次数较多,持续5d的低频降水事件降水量占总低频降水事件的比例最大。在低频降水事件发生时期,中国东南部在低层是很强的低频气旋式环流,而在中国南海至西太平洋一带则是强大的低频反气旋,同时低频的水汽从孟加拉湾北部以及中国南海、菲律宾海一带输送到长江以南地区强烈辐合上升;此时在高层一个低频反气旋控制中国东北部地区,该低频反气旋与其西侧的低频反气旋以及位于中国东南沿海的低频气旋相互配合,使得长江以南地区高层强烈地辐散,加强了低层的上升运动。在超前低频降水7d左右时,大气低层在150°E洋面附近开始出现低频反气旋,逐渐加强并向西移动到达中国东南沿海,而在中国南海一带的低频气旋则向西北移动到长江以南地区,与此同时,副热带高压有一个明显的西伸过程,高低层相互配合最终导致低频降水的发生。     

MRI模式对华南春雨气候态及年际变率的模拟：不同模式分辨率的比较

本文利用日本气象研究所（MRI）参加第五次国际耦合模式比较计划（CMIP5）的大气环流模式在高、中、低三种分辨率下的AMIP试验结果,评估了其对华南春雨气候态和年际变率的模拟能力,比较了不同分辨率的模拟结果。结果表明,三种不同水平分辨率（120 km、60 km和20 km）的模式均能再现北半球春季位于中国东南部的降水中心。相较于120 km模式,20 km模式能够更为合理地模拟出华南春雨位于南岭—武夷山脉的降水中心。水汽收支分析表明,60 km、20 km模式高估了水汽辐合,使得华南春雨的降水强度被高估。在年际变率方面,在三种分辨率下,模式均能较好地再现观测中El Ni?o衰减年春季的西北太平洋反气旋以及华南春雨降水正异常。较之120 km模式,60 km、20 km模式模拟的降水正异常的空间分布和强度更接近观测,原因是后者模拟的El Ni?o衰减年春季华南地区的水平水汽平流异常更接近观测。本研究表明,发展高分辨率气候模式是提高华南春雨的气候态和年际变率模拟水平的有效途径之一。     

天气形势调整过程中连续暴雨的个例分析

本文在分析了天气尺度背景及形成连续暴雨的物理量条件的基础上，找出连续三天暴雨的成因：由于大范围形势调整过程中同一低压系统在不同的环流形势配置下造成的，是天气形势调整过程中产生的，而不是通常概念上由于大范围环流形势稳定、有利降雨的系统得以持续影响造成的。     

基于DInSAR的洪河国家级自然保护区沼泽水位相对变化量监测研究

水文是沼泽形成、发育和演化的决定性因素.目前,沼泽水位的监测仍然以实地观测为主,需要花费大量的人力和物力.以洪河国家级自然保护区为研究区,利用2007年6?10月星载相控阵L波段合成孔径雷达(phase array type L-band synthetic aperture radar,L-band PALSAR)数...     

Long baseline interferometric observations of long period variable stars

Recent observations of long-period variable stars at spatial resolutions from approximately 1 arcsec to several milli-arcsecs have provided new insights into pulsation, dust formation, and mass-loss of AGB stars. These insights have come from long baseline interferometric observations obtained across a wide range of wavelengths, from the optical, through the infrared, to wavelengths as long as several millimeters. The present status and recent results from long baseline interferometry, particularly at optical and infrared wavelengths, are discussed. Such results include diameters and limb-darkening, surface features, mode of pulsation, location of SiO masers, inner radii of dust shells, physical conditions in the dust formation zone and of the inner regions of the dust shells. The results are interpreted in terms of present models of dust formation and mass-loss.     

Polarimetric differential SAR interferometry in an arid natural environment

Ground deformation measurements have contributed to a better understanding of the processes and mechanisms involved in natural hazards. Those include landslides, subsidence, earthquakes and volcanic eruptions. Spaceborne Differential Interferometric Synthetic Aperture RADAR (DInSAR) is a well studied technique for measuring ground deformation. Quality of deformation measurements, however, is often degraded by decorrelation. With the advent of fully polarimetric SAR satellite sensors, polarimetric optimization techniques exploiting polarimetric diversity improve the phase quality of interferograms. In this paper, we analyzed three polarimetric optimization methods to determine the optimal one for application in an arid natural environment. We considered coherence decomposition in single and double phase center scenarios. Coherence estimation bias associated with each optimization method has been analyzed. We compared the derived displacement values with terrestrial GPS measurements. The study shows that polarimetric optimization increases the number of coherent pixels by upto 6.89% as compared with a single polarization channel. The study concludes that polarimetric optimization coupled with DInSAR analysis yields more reliable deformation results in a low coherence region.