本文關(guān)鍵詞：多源測風資料融合技術(shù)研究　出處：《杭州師范大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 多源數(shù)據(jù) 融合方法 QuikSCAT WindSAT 近海 質(zhì)量評價

【摘要】：近岸海域與人類關(guān)系密切,人類活動密集。在近海區(qū)域內(nèi),風是海洋環(huán)流的主要驅(qū)動力,使得其海面風場極具變化性。近海區(qū)域環(huán)流的許多現(xiàn)象都與區(qū)域內(nèi)風場的特性直接相關(guān),在相關(guān)研究領(lǐng)域中引起了廣泛的關(guān)注。目前,海面風場研究中使用最多的數(shù)據(jù)主要是再分析資料,但是再分析風場資料分辨率低,不能滿足更精細的要求。而新興的遙感數(shù)據(jù)之間因時間、空間分辨率不統(tǒng)一,并且空間覆蓋不完全,造成我國近海海域數(shù)據(jù)缺失。如果可以通過融合技術(shù)把遙感數(shù)據(jù)與海岸氣象站數(shù)據(jù)結(jié)合起來,形成覆蓋近海區(qū)域的高分辨率的風場數(shù)據(jù),將對近海區(qū)域內(nèi)的許多研究有重要的意義。本文選擇我國東部(遼寧、山東、江蘇和浙江四省)近海海域作為研究區(qū),首先用浮標數(shù)據(jù)對QuikSCAT和WindSAT衛(wèi)星測風數(shù)據(jù)進行了真實性檢驗與質(zhì)量評價;然后,采用克里金(Kriging)法、Cressman法和改進型克里金三種方法分別對QuikSCAT與地面氣象測風數(shù)據(jù)進行融合、WindSAT測風數(shù)據(jù)與地面氣象測風數(shù)據(jù)進行融合,得到研究區(qū)內(nèi)星地多源測風融合數(shù)據(jù)集;再分別對不同數(shù)據(jù)、不同方法得到的風場融合結(jié)果進行真實性檢驗,最后,對不同數(shù)據(jù)集進行統(tǒng)計特征值對比與分析,比較各自的優(yōu)劣,并給出其原因。研究結(jié)果表明,QuikSCAT和WindSAT測風數(shù)據(jù)精度高,可直接用于多源測風數(shù)據(jù)融合。星地多源測風資料融合中,基于Kriging、Cressman和改進型克里金法的融合結(jié)果精度都達到了極顯著水平,其中改進型克里金法的結(jié)果精度最高。說明利用多源測風資料融合技術(shù),可彌補近海區(qū)域數(shù)據(jù)缺失,構(gòu)建近海區(qū)域長時間序列、全覆蓋的高分辨率風場數(shù)據(jù)集是可行的。這對近海風能資源評估與開發(fā)應(yīng)用有重要的意義。
[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.
【學(xué)位授予單位】：杭州師范大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：P714.2

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本文編號：1388562