A Velocity Dealiasing Scheme for C-band Weather Radar Systems简

A dealiasing algorithm for radar radial velocity observed by C-band Doppler radars is presented as an extension of an existing S-band dealiasing algorithm. This has operational significance in that many portable and many commercial broadcast radars, as well as approximately one half of the Chinese weather radar network （CINRAD）, are C-band radars. With a wavelength of about 5 cm, the Nyquist interval of C-band radars is just about one half that of S-band radars （wavelength of about 10 cm） and thus has more velocity folding. The proposed algorithm includes seven modules to remove noisy data, find the starting radials, dealias velocities, and apply least squares error checking in both the radial and azimuth directions. The proposed velocity dealiasing method was applied to one widespread rain case and three strong convective cases from radars operating in China. It was found that, on average, 92.95% of the aliased radial velocity data could be correctly de-aliased by the algorithm, resulting in 96.65% of the data being valid.     

Spectrum Analysis of Wind Profiling Radar Measurements

Unlike previous studies on wind turbulence spectrum in the planetary boundary layer, this investigation focuses on high-altitude （1-5 km） wind energy spectrum and turbulence spectrum under various weather conditions. A fast Fourier transform （FFT） is used to calculate the wind energy and turbulence spectrum density at high altitudes （1-5 km） based on wind profiling radar （WPR） measurements. The turbulence spectrum under stable weather conditions at high altitudes is expressed in powers within a frequency range of 2 × 10-5-10-3 s-1, and the slope b is between -0.82 and -1.04, indicating that the turbulence is in the transition from the energetic area to the inertial sub-range. The features of strong weather are reflected less obviously in the wind energy spectrum than in the turbulence spectrum, with peaks showing up at different heights in the latter spectrum. Cold windy weather appears over a period of 1.5 days in the turbulence spectrum. Wide-range rainstorms exhibit two or three peaks in the spectrum over a period of 15-20 h, while in severe convective weather conditions, there are two peaks at 13 and 9 h. The results indicate that spectrum analysis of wind profiling radar measurements can be used as a supplemental and helpful method for weather analysis.     

Ensemble retrieval of atmospheric temperature profiles from AIRS

ABSTRACT Satellite-based observations provide great opportunities for improving weather forecasting. Physical retrieval of atmo spheric profiles from satellite observations is sensitive to the uncertainty of the first guess and other factors. In order to improve the accuracy of the physical retrieval, an ensemble methodology was developed with an emphasis on perturbing the first guess. In the methodology, a normal probability density function （PDF） is used to select the optimal profile from the ensemble retrievals. The ensemble retrieval algorithm contains four steps： （1） regression retrieval for original first guess; （2） perturbation of the original first guess to generate new first guesses （ensemble first guesses）; （3） using the ensemble first guesses and nonlinear iterative physical retrieval to generate ensemble physical results; and （4） the final optimal profile is selected from the ensemble physical results by using PDE Temperature eigenvectors （EVs） were used to generate the pertur- bation and generate the ensemble first guess. Compared with the regular temperature profile retrievals from the Atmospheric InfraRed Sounder （AIRS）, the ensemble retrievals RMSE of temperature profiles selected by the PDF was reduced between 150 and 320 hPa and below 400 hPa, with a maximum improvement of 0.3 K at 400 hPa. The bias was also reduced in many layers, with a maximum improvement of 0.69 K at 460 hPa. The combined optimal （CombOpt） profile and a mean optimal （MeanOpt） profile of all ensemble physical results were improved below 150 hPa. The MeanOpt profile was better than the CombOpt profile, and was regarded as the final optimal （FinOpt） profile. This study lays the foundation for improving temperature retrievals from hyper-spectral infrared radiance measurements.     

联合时变重力数据与测高数据反演全球海平面变化及其分量贡献

理解全球海平面变化具有十分重要的意义,它间接反映了地球系统中气候性相关因素的变化。本文基于一组海平面指纹和比容经验正交函数,联合时变重力数据和卫星测高数据反演了2002年4月至2020年2月的全球海平面变化,将全球海平面变化分解成南极冰盖融化、格陵兰冰盖融化、陆地冰川融化、陆地水储量变化、冰川均衡调整和海水比容效应这6个分量的贡献。联合反演结果显示,全球平均比容海平面变化为1.08±0.05 mm/a,与相关文献的结果相吻合。研究发现,联合测高数据和时变重力数据的反演方法能够一定程度上减弱GRACE Follow-On卫星时期海水质量变化被低估的现象。本文利用联合反演的结果研究了区域海平面变化,在大部分近海区域反演效果较好,这表明该方法可用于区域海平面变化的研究。     

利用偏差改正的方差分量估计方法确定联合反演相对权比

在大地测量联合反演中,方差分量估计法用于确定相对权比时并没有考虑大地测量反演的病态性,利用正则化解代替最小二乘解会引入偏差,会造成方差分量估计不准确问题。针对此提出采用偏差改正方差分量估计方法,以消除正则化解引入偏差的影响,并基于残差的偏差改正方差分量估计与方差分量估计法进行模拟实验。结果表明,进行偏差改正后的方差分量估计法能够较好地反演出滑动分布情况,所提方法针对参数进行偏差改正的方差分量估计考虑了迭代初值引入的偏差,理论更为严密。并将所提方法用于Visso地震和Norcia地震反演中,验证了该方法的可靠性、合理性。     

全球海底地形精细建模进展与发展趋势

精细的海底地形模型在海底板块构造运动、水下载体航行保障、海洋资源勘探等方面具有重要作用。回顾国内外海底地形探测技术和模型构建的发展,讨论当前全球海底地形精细建模的研究现状和面临的主要挑战,总结今后全球海底地形精细建模的发展趋势,认为基于卫星测高技术的海洋重力场反演仍是未来全球海底地形精细建模的主要技术手段,并且新体制测高卫星如双星跟飞测高和SWOT(surface water ocean topography)二维海面高测量任务将为进一步提升海洋重力场以及海底地形模型精度提供数据源,结合地形复杂度优化海底地形反演理论方法有望带来理论创新,探索人工智能技术用于海底地形精细建模值得关注。     

地震大地测量确定凹凸体研究进展与展望

介绍了凹凸体、障碍体及其震源模式相关概念,综述了地震大地测量确定凹凸体的研究进展,主要从介质结构分布（高强度异常体）、地震活动性分析和断层滑动特性三个方面探讨凹凸体确定的技术与方法,并分析了存在的问题。对活动断层凹凸体分布的精细确定研究进行了展望,今后的研究重点是开展大地测量数据联合反演确定凹凸体分布、联合大地测量与地震、地球物理数据确定凹凸体分布以及基于机器学习方法进行凹凸体分布确定。     

被动微波遥感雪深反演混合像元问题研究EI北大核心CSCD

积雪深度是反映地表积雪量变化的重要因子,是水文模型和气候模式中的重要参数之一。被动微波遥感以其穿云透雾、对雪层信息敏感等特点,被广泛应用于雪深的反演研究中。被动微波传感器的低空间分辨率(数千米至数十千米)及地表覆盖的复杂性,使星载被动微波遥感影像中的混合像元现象十分突出,严重制约了被动微波雪深遥感监测的应用和发展。目前,被动微波遥感雪深反演中的混合像元问题研究仍存在着诸多挑战:①理论支撑不足,对被动微波混合像元亮温响应特征及影响机制的研究尚不充分;②针对混合像元问题所发展的被动微波雪深反演算法,对地表异质性特征考虑不足。     

Re-Os同位素在沉积地层精确定年及古环境反演中的应用进展

Re-Os同位素亲有机质的性质,使得富有机质沉积岩在沉积的过程中能够吸附富集海水中的Re、Os,沉积岩的沉积压实过程也是其中Re-Os同位素体系封闭计时的过程,沉积岩Re-Os同位素等时线年龄代表地层沉积时代,Os同位素初始比值187Os/188Os反映沉积时海水的Os同位素比值。Re-Os同位素体系在富有机质沉积岩中的成功应用,能够直接确定地层沉积时代,从而对地层界线进行直接厘定,并且能够对一些沉积矿床形成时代、冰川事件发生时代进行厘定和限制。通过沉积岩Re-Os同位素特征,可以对古环境进行反演,有助于了解全球大气海洋的演化,气候的变化,对研究生物灭绝等重大地质事件发生的时限和机制以及金属矿床的成矿物质来源具有重要意义。文章阐述了Re-Os同位素在富有机质沉积岩中应用的原理,并列举了Re-Os同位素在沉积地层精确定年及古环境反演中应用实例,说明了富有机质沉积岩Re-Os同位素分析精度及其影响因素,以使Re-Os同位素体系作为一种强有力的工具,解决更多的沉积地层时代问题以及更好地对古环境进行反演。     

云南省江城地区盐盆地重力勘探与深部找钾启示

云南省江城勐野井钾盐矿是目前我国发现的唯一固体钾盐矿。该地区地质构造复杂,近几年通过野外地质、地球物理及钻井勘探 ,认为钾盐来自深部侏罗系,并沿断裂构造带挤压塑流到表层,可能在深部还存在大面积的“盐源”。为实现找矿突破,亟须了解控制盐矿形成的构造及围岩的三维结构特征。通过对江城地区高精度重力数据位场分离、边缘检测、3D物性反演的地球物理处理与解释,获得了勐野井地区江城湖盆的基底变化、断裂展布等地质信息,确定了研究区构造格架、地下密度体的三维分布与岩盐矿的关系,推断在勐野井矿区西北深部可能还有侏罗系盐岩甚至钾盐的存在,该地区将是未来找矿工作的重点。研究成果为江城地区下一步钾盐矿勘查提供了线索和依据。