A Ka-band Solid-state Transmitter Cloud Radar and Data Merging Algorithm for Its Measurements

This study concerns a Ka-band solid-state transmitter cloud radar, made in China, which can operate in three different work modes, with different pulse widths, and coherent and incoherent integration numbers, to meet the requirements for cloud remote sensing over the Tibetan Plateau. Specifically, the design of the three operational modes of the radar(i.e., boundary mode M1, cirrus mode M2, and precipitation mode M3) is introduced. Also, a cloud radar data merging algorithm for the three modes is proposed. Using one month's continuous measurements during summertime at Naqu on the Tibetan Plateau,we analyzed the consistency between the cloud radar measurements of the three modes. The number of occurrences of radar detections of hydrometeors and the percentage contributions of the different modes' data to the merged data were estimated.The performance of the merging algorithm was evaluated. The results indicated that the minimum detectable reflectivity for each mode was consistent with theoretical results. Merged data provided measurements with a minimum reflectivity of -35 dBZ at the height of 5 km, and obtained information above the height of 0.2 km. Measurements of radial velocity by the three operational modes agreed very well, and systematic errors in measurements of reflectivity were less than 2 dB. However,large discrepancies existed in the measurements of the linear depolarization ratio taken from the different operational modes.The percentage of radar detections of hydrometeors in mid- and high-level clouds increased by 60% through application of pulse compression techniques. In conclusion, the merged data are appropriate for cloud and precipitation studies over the Tibetan Plateau.     

Assessment of two techniques to merge ground-based and TRMM rainfall measurements: a case study about Brazilian Amazon Rainforest

The availability of accurate rainfall data with high spatial resolution, especially in vast watersheds with low density of ground-measurements, is critical for planning and management of water resources and can increase the quality of the hydrological modeling predictions. In this study, we used two classical methods: the optimal interpolation and the successive correction method (SCM), for merging ground-measurements and satellite rainfall estimates. Cressman and Barnes schemes have been used in the SCM in order to define the error covariance matrices. The correction of bias in satellite rainfall data has been assessed by using four different algorithms: (1) the mean bias correction, (2) the regression equation, (3) the distribution transformation, and (4) the spatial transformation. The satellite rainfall data were provided by the Tropical Rainfall Measuring Mission, over the Brazilian Amazon Rainforest. Performances of the two merging data techniques are compared, qualitatively, by visual inspection and quantitatively, by a statistical analysis, collected from January 1999 to December 2010. The computation of the statistical indices shows that the SCM, with the Cressman scheme, provides slightly better results.     

基于局域同质性梯度的遥感图像分割方法及其评价

提出了一种针对多波段遥感图像的快速分割方法.该方法首先对遥感图像进行量化,然后提取局域同质性梯度图像,进而利用快速分水岭变换进行初始分割,最后利用改进的区域合并方法获得最终的分割结果.利用Quickbird图像进行了相关的实验,并在像素数量误差准则的指导下进行了分割评价,结果表明所提出的方法是一种有效的遥感图像分割方法,在分割速度和精度等方面优于多分辨率分割方法.     

基于小波包的遥感图像融合方法

介绍了一种基于小波包的遥感图像融合方法,实验采用熵、光谱扭曲指数和边缘指数等作为评价融合质量的定量指标,表明了通过这一融合方法比传统的IHS,PCA,HPF以及小波融合具有更高的光谱信息保持和纹理信息增强能力。     

不同来源重力数据在海洋重力编图中的拼接——以南通幅海洋重力编图为例

以南通幅海洋重力编图为例,论述了如何应用海洋重力与陆地重力以及卫星重力数据等不同来源的重力数据进行海洋重力编图。讨论了编图中关键问题,如各种数据的统一改算问题,包括统一的重力基准网、统一的正常重力公式、统一的投影方式;不同来源数据间的拼接调平问题;卫星重力数据使用范围问题等,并对最新的南通幅编图结果与以往相同范围内的编图进行了比较。     

双热带气旋合并过程涡旋强度与吸引效应相关特征数值模拟

利用中尺度模式HWRF(Hurricane Weather Research and Forecast System)模拟双热带气旋"狮子山"(2010)与"南川"(2010)涡旋合并过程,并通过强度敏感性试验揭示两涡旋强度对合并过程的影响。分析表明:在两者的合并过程中,"狮子山"涡旋强度明显大于"南川";"狮子山"涡旋对"南川"涡旋具有更大的"吸引"效应,两者西侧呈相对强的能量、水汽"连体"通道。HWRF能够较好的模拟出双热带气旋"狮子山"与"南川"的强度、移动路径,尤其是两涡旋的合并过程。进一步分析控制试验双热带气旋水平与垂直结构揭示出两涡旋"互旋"过程中,"弱涡旋"并入"强涡旋"相互影响特征。有关"狮子山"与"南川"强度的敏感试验亦表明,两者各自涡旋强度"合并方向"具有关键影响。在敏感性试验中,改变涡旋强度后两者路径亦存在"互旋"现象,但与控制试验两涡旋"合并方向"相反,即敏感性试验热带气旋"狮子山"涡旋削弱,而"南川"涡旋强度相对增强,导致原涡旋西侧水汽、能量输送连体通道明显削弱,同时由于"南川"涡旋的强度强于"狮子山",两者东侧水汽、能量输送通道亦加强,导致"南川"涡旋对"狮子山"的涡旋存在"吸引"效应。"狮子山"涡旋残留云带一部分合并入"南川",一部分则随西南气流进入台风"圆规"。     

月面形貌仿真设计及在嫦娥三号任务中的应用

月面形貌仿真可以为嫦娥三号着陆前地形建立及视觉导航仿真测试提供逼真的三维月面环境。利用分形随机算法并结合月面撞击坑与石块的数学分布模型,在实现月面数字地形的基础上利用纹理映射和纹理融合的方法为月面地形添加纹理,完成了月面逼真三维环境的构建。结合导航相机的外方位元素和光照条件,实现了对该仿真月面环境的模拟环拍,支撑了嫦娥三号发射前月球车导航相机数据获取、地形建立、通行代价图计算、月球车路径规划等遥操作任务过程仿真测试。测试结果表明,仿真月面三维地形具有良好的视觉效果,满足了巡视器导航相机测试验证对精细月面地形和纹理的需求,为导航相机测试验证提供了有效的月面形貌仿真数据。     

几何部件缓冲区域合并的Buffer算法及其并行优化方法

摘 要：本文在介绍一种基于几何部件缓冲区域合并的矢量数据缓冲区生成算法的基础上,采用数据并行思想和MPI编程模型对缓冲区算法的并行化实现和优化方法开展研究。实验结果显示,与ArcGIS Buffer工具相比,（1）当缓冲区结果多边形不合并时,虽然串行缓冲区算法的时间开销较高,但可轻易通过并行方式实现加速。（2）当缓冲区结果合并时,本文算法要明显优于ArcGIS Buffer工具,并且经过优化的并行缓冲区算法表现出了更高的计算效率和更大规模的数据处理能力。因此,基于几何部件缓冲区域合并的Buffer算法具备一定的实用价值,本文提出的按结点数量的任务分解方法和进程间结果“树状”归并策略是对缓冲区算法进行并行优化的有效途径,对GIS中其他矢量分析算法的并行化及相关优化工作也具有一定的借鉴意义。     

用于地形图更新的ETM＋影像彩色融合方法

利用LandSat-7ETM 影像快速更新1：25万地形图是一种行之有效的方法，为达到地形图更新的目的，必须提高影像的判读效果。文中在介绍几种常用融合算法的基础上，提出了一种较为简单的加权平均融合算法，并对几种常用融合方法进行了比较研究，最后利用联合熵和平均梯度对融合结果进行了客观评估。     

山东省线状中尺度对流系统与多单体风暴的合并特征

利用济南多普勒天气雷达产品和华北区域雷达拼图等资料,普查了2012—2016年影响山东的线状中尺度对流系统(linear mesoscale convective system,LMCS),分析了LMCS与多单体风暴的合并方式以及合并后的演变趋势等特征,得到如下几条结论:1) LMCS(A)与多单体风暴(B)有A追B,A扩展,A、B相向和B追A四种合并方式; 2) LMCS与多单体风暴合并的临界距离为30 km;3) LMCS与多单体风暴合并后,强度增强或维持,尺度增大,生命史延长,长轴将可能转向; 4) LMCS与多单体风暴合并时,其本身合并部分将减弱,多单体风暴合并进入LMCS,成为LMCS的一部分;5)合并是雷暴的传播运动造成的; 6) 63. 3%的合并案例会产生雷暴大风、冰雹或强降水灾害,雷暴大风灾害出现的概率最大。