多源测风资料融合技术研究

发布时间：2018-01-06 16:05

本文关键词：多源测风资料融合技术研究　出处：《杭州师范大学》2015年硕士论文　论文类型：学位论文

【摘要】：近岸海域与人类关系密切,人类活动密集。在近海区域内,风是海洋环流的主要驱动力,使得其海面风场极具变化性。近海区域环流的许多现象都与区域内风场的特性直接相关,在相关研究领域中引起了广泛的关注。目前,海面风场研究中使用最多的数据主要是再分析资料,但是再分析风场资料分辨率低,不能满足更精细的要求。而新兴的遥感数据之间因时间、空间分辨率不统一,并且空间覆盖不完全,造成我国近海海域数据缺失。如果可以通过融合技术把遥感数据与海岸气象站数据结合起来,形成覆盖近海区域的高分辨率的风场数据,将对近海区域内的许多研究有重要的意义。本文选择我国东部(辽宁、山东、江苏和浙江四省)近海海域作为研究区,首先用浮标数据对QuikSCAT和WindSAT卫星测风数据进行了真实性检验与质量评价;然后,采用克里金(Kriging)法、Cressman法和改进型克里金三种方法分别对QuikSCAT与地面气象测风数据进行融合、WindSAT测风数据与地面气象测风数据进行融合,得到研究区内星地多源测风融合数据集;再分别对不同数据、不同方法得到的风场融合结果进行真实性检验,最后,对不同数据集进行统计特征值对比与分析,比较各自的优劣,并给出其原因。研究结果表明,QuikSCAT和WindSAT测风数据精度高,可直接用于多源测风数据融合。星地多源测风资料融合中,基于Kriging、Cressman和改进型克里金法的融合结果精度都达到了极显著水平,其中改进型克里金法的结果精度最高。说明利用多源测风资料融合技术,可弥补近海区域数据缺失,构建近海区域长时间序列、全覆盖的高分辨率风场数据集是可行的。这对近海风能资源评估与开发应用有重要的意义。
[Abstract]:The coastal waters are closely related to human beings, and human activities are dense. In the offshore area, wind is the main driving force of ocean circulation. Many phenomena of the offshore circulation are directly related to the characteristics of the regional wind field, and have attracted extensive attention in the related research fields. The most widely used data in the study of sea surface wind field is reanalysis data, but the resolution of the reanalysis wind field data is low, which can not meet the more precise requirements, and the time between the emerging remote sensing data is due to time. Spatial resolution is not uniform, and space coverage is not complete, resulting in the lack of data in China's offshore waters. If remote sensing data and coastal weather station data can be combined through fusion technology. The formation of high-resolution wind field data covering the offshore area will be of great significance to many studies in the offshore area. In this paper, the eastern part of China (Liaoning, Shandong) is selected. The offshore waters of Jiangsu and Zhejiang provinces are used as research areas. Firstly, the authenticity and quality evaluation of QuikSCAT and WindSAT satellite wind data are carried out with buoy data. Then, the QuikSCAT and the surface meteorological wind data are fused by using the Kriginging-Cressman method and the improved Kriging method respectively. The WindSAT wind data and the surface meteorological wind data are fused to obtain the satellite and ground multi-source wind data fusion data set in the study area. Finally, the statistical eigenvalues of different data sets are compared and analyzed to compare their advantages and disadvantages. The research results show that QuikSCAT and WindSAT have high accuracy and can be directly used in the fusion of multi-source wind data and satellite-ground multi-source wind data fusion. The accuracy of the fusion results based on Krigingi Cressman and the improved Kriging method has reached a very significant level. The improved Kriging method has the highest accuracy, which shows that the multi-source wind data fusion technique can make up for the lack of data in the offshore area and construct the long time series of the offshore area. The full coverage of high resolution wind field data sets is feasible, which is of great significance for offshore wind energy resource evaluation and development and application.
【学位授予单位】：杭州师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P714.2

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