[1] XING Xu-huang,ZHU Rong,ZHAI Pan-mao,et al. The high-resolution numerical simulation of wind energy resources in Hainan province over its offshore waters[J]. Journal of Tropical Meteorology, 2009,125(4):421-426. 邢旭煌,朱蓉,翟盘茂, 等. 海南省及其近海风能资源的高分辨率数值模拟[J]. 热带气象学报,2009,125(4):421-426. [2] BERNHARD L, JØRGEN H. Evaluation of the wind-resource estimation programfor offshore applications[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2001,89(3-4):271-291. [3] LI Xiao-Yan. Application of mesoscale atmospheric model in assessment of offshore wind energy resources[D]. Hefei:University of Science and Technology of China,2004. 李晓燕. 中尺度大气模式在海上风能资源评估中的应用研究[D]. 合肥:中国科学技术大学,2004. [4] ZHOU Rong-wei, HE Xiao-feng, ZHU Rong, et al. Numerical simulation of the development potential of wind energy resources over China's offshore areas[J]. Resources Science, 2010,32(8):1 434-1 443. 周荣卫,何晓凤,朱容,等. 中国近海风能资源开发潜力数值模拟[J]. 资源科学,2010,32(8):1 434-1 443. [5] ELLIOTT D, SCHWARTZ M, SCOTT G,et al. Wind energy resource atlas of southeast China[R]. National Renewable Energy Laboratory, 2002. [6] XU Jing-wei. Application of satellite data and numerical models in assessment of offshore wind energy resources in China[D]. Nanjing:Nanjing University of Information Science and Technology,2009. 徐经纬. 卫星资料与数值模式在中国近海风能资源评估中的应用研究[D]. 南京:南京信息工程大学,2009. [7] ZHANG Xuan.Retrieval of sea surface wind field from C-Band fully polarized SAR images[D]. Nanjing:Nanjing University of Information Science and Technology,2018. 张璇. C波段全极化SAR图像海面风场反演研究[D].南京:南京信息工程大学,2018. [8] LIN Ming-sen,YUAN Xin-zhe, LIU Jian-qiang, et al. Application of GF-3 satellite monitoring typhoon[J]. Spacecraft Engineering, 2017, 26(6):171. 林明森, 袁新哲, 刘建强,等. 高分三号卫星在台风监测中的应用[J]. 航天器工程, 2017,26(6):171. [9] BI Shang-shang. Sea surface wind vector retrieval based on satellite SAR images of Sentinel-1A[D]. Xiamen:Xiamen University, 2016. 毕上上. 基于Sentinel-1A卫星SAR图像的海面风矢量反演研究[D]. 厦门:厦门大学,2016. [10] ZHANG B, PERRIE W, HE Y. Wind speed retrieval from RADARSAT-2 quad-polarization images using a new polarization ratio model[J].Journal of Geophysical Research. 2011, 116(C08008): doi:10.1029/2010JC006522. [11] ISOGUCHI O, SHIMADA M. An L-band ocean geophysical model function derived from PALSAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(7):1 925-1 936. [12] REN Yong-zheng. Retrieval of sea surface wind field and sea surface flow field from Satellite TerraSAR-X image[D]. Qingdao:Ocean University of China,2009. 任永政. 从卫星TerraSAR_X图像反演海面风场和海表流场方法研究[D]. 青岛:中国海洋大学,2009. [13] STOFFELEN A D, ANDERSON D.Scatterometer data interpretation: transfer function CMOD4[J]. Journal of Geophysical Research, 1997, 102(c3): 5 767-5 780. [14] QUILFEN Y, CHAPRON B, ELFOUHAILY T, et al. Observation of tropical cyclones by high-resolution scatterometry[J]. Journal of Geophysical Research, 1998, 103(C4): 7 767-7 786. [15] HERSBACH H, STOFFELEN A D, HAAN S.An improved C-band scatterometer ocean geophysical model function: CMOD5[J]. Journal of Geophysical Research,2007, 112 (C03006): 1-18. [16] HERSBACH H. Comparison of C-band scatterometer CMOD5.N equivalent neutral winds with ECMWF[J]. Journal of Atmospheric and Oceanic Technology,2010, 27(4): 721-736. [17] VACHON P W, WOLFE J. C-band cross-polarization wind speed retrieval[J]. IEEE Geoscience & Remote Sensing Letters, 2011, 8(3):456-459. [18] XU Qing,ZHANG Guo-sheng, ZHANG Shuang-shang, et al. Evolution of typhoon Soudelor observed by RADARSAT-2 SAR[C]//IEEE International Geoscience & Remote Sensing Symposium. IEEE, 2017:735-738. [19] LI X M, LEHNER S. Observation of TerraSAR-X for studies on offshore wind turbine wake in near and far fields[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(3): 1 757-1 768. [20] ZHU Rui-zhao, XUE Heng. China's wind energy resources[J]. Journal of Solar Energy, 1981, 2(2):117-124. 朱瑞兆, 薛桁. 我国风能资源[J]. 太阳能学报, 1981, 2(2):117-124. [21] PAN Li-li. Study on assessment of wind energy resources in Jiangsu coastal area based on WRF model[D]. Nanjing:Nanjing University of Information Science and Technology,2009. 潘丽丽. 基于WRF模式的江苏沿海风能资源评估研究[D]. 南京:南京信息工程大学,2009. [22] SUN Wei-Guo. Climate resources science[M]. Beijing:Meteorological Publishing House,2008. 孙卫国. 气候资源学[M]. 北京:气象出版社,2008. [23] DING Ming,WU Yi-chun,ZHANG Li-jun. Study on the algorithm to the probabilistic distribution parameters of wind speed in the wind farms[J]. Proceedings of the Chinese Society for Electricity Engineering,2005,25(10):107-110. 丁明,吴义纯,张立军. 风电场风速概率分布参数计算方法的研究[J]. 中国电机工程学与学报,2005,25(10):107-110. [24] ZHU Chao-qun. Application of Weibull Distribution in wind energy calculation[J]. Journal of Nanjing University, 1983, 19(2):183-189. 朱超群. Weibull分布在风能计算中的应用[J]. 南京大学学报, 1983, 19(2):183-189. [25] CHEN Guo-chu,YANG Wei,YANG Yan-chi,et al.New computation method of wind speed probability distribution parameters in wind farm[J]. Journal of Power System and Automation, 2011,23(1):46-51. 陈国初,杨维,张延迟, 等. 风电场风速概率分布参数计算新方法[J]. 电力系统及其自动化学报,2011,23(1):46-51. [26] JUSTUS C G,HARGRAVES W R, MIKHAIL A,et al. Methods for estimating wind speed frequency distributions[J]. Journal of Applied Meteorology, 1977, 17(3):350-353. [27] WU Xue-guang,CHEN Shu-yong,DAI Hui-zhu. Application of errors approach to analysis of wind energy resources analysis in wind farm[J]. Power System Technology, 1998, 22(7): 69-74. 吴学光,陈树勇,戴慧珠. 最小误差逼近算法在风电场风能资源特性分析中的应用[J]. 电网技术,1998,22(7):69-74. [28] JANGAMSHETTI S H, RAU V G. Optimum setting of wind turbine generators[J].IEEE Transactions on Energy Conversion, 2001,16(1):8-13. [29] COHEN A C.Maximum-likelihood estimation in the Weibull distribution based on complete and on censored samples[J]. Technometrics, 1965, 7(4): 579-588. [30] PAN Pei,YANG Yong-kang,XU Jia-liang. Assessment of wind energy resources in Shanghai offshore waters[J]. Energy Technology,2008,30(30): 30-33. 潘沛,杨永康,徐家良. 上海近海海域风能资源评估研究[J]. 能源技术,2008,30(30): 30-33. [31] HASAGER C B, FRANK H P, FUREVIK B R. On offshore wind energy mapping using satellite SAR[J]. Canadian Journal of Remote Sensing, 2002, 28(1): 80-89. [32] HRISTIANSEN M B,KOCK W, HORSTMANN J, et al. Wind resource assessment from C-band SAR[J]. Remote Sensing of Environment, 2006, 105(1): 68-81. [33] HASAGER C B, PEÑA A, CHRISTIANSEN M B, et al. Remote sensing observation used in offshore wind energy[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2008, 1(1): 67-79. [34] CHRISTIANSEN M B, KOCH W, HORSTMANN J. Wind resource assessment from C-band SAR[J]. Remote Sensing Environment, 2006, 105(1): 68-81. [35] CHRISTIANSEN M B. Wind energy applications of Synthetic Aperture Radar[R]. Denmark: Risø National Laboratory, 2008: 1-53. [36] HASAGER C B, BADGER M, ALFREDO P, et al. SAR-based wind resource statistics in the Baltic Sea[J]. Remote Sensing,2011, 3(1): 117-144. [37] KARAGALI I, LARSÉN X G, BADGER M, et al. Spectral properties of ENVISAT ASAR and QuikSCAT surface winds in the North Sea[J]. Remote Sensing, 2013, 5(11):6 096-6 115. [38] CHANG Jung-fang,HUANG Wei-gen,LOU Xiu-lin, et al. Wind energy resource assessment based on ENVISAT ASAR images for the Zhejiang coastal waters[J]. Chinese High Technology Letters, 2013,23(5):467-475. 常俊芳,黄韦艮,楼琇林, 等. 基于ENVISAT ASAR影像的浙江沿海风能资源评估[J]. 高技术通讯, 2013,23(5):467-475. [39] BARTHELMIE R, PRYOR S. Challenges in predicting power output from offshore wind[J].Journal of Energy Engineering, 2006, 132(3): 91-103. [40] KOZAI K. Estimation method for offshore wind energy using Synthetic Aperture Radar and Weibull Parameters[C]//Proceedings of the Nineteenth (2009) International Offshore and Polar Engineering Conference (ISOPE). Osaka, Japan, 21-26 June 2009: 419-423. [41] PRYOR S C,NIELSEN M. Can satellite sampling of offshore wind speeds realistically represent wind speed distributions Part II quantifying uncertainties associated with sampling strategy and distribution fitting methods[J]. Journal of Applied Meteorology, 2004, 43(5): 739-750. [42] TROEN I, PETERSEN E L.European wind atlas[R]. RoskildeDenmark: Risø National Laboratory, 1989. [43] YUKO T, TERUO O, TOMOHIRO Y, et al. Estimation of offshore wind resources in coastal waters off Shirahama Using ENVISAT ASAR Image[J]. Remote Sensing, 2013, 5(6): 2 883-2 897. [44] NIELSEN M, ASTRUP P, HASAGER C B, et al. Satellite information for wind energy applications[R]. Denmark: Risø National Laboratory, 2004:1-56. [45] REN Nian-xing,OU Jin-ping. Numerical analysis for the wake zone of large offshore wind turbine[J].Chinese Journal of Computational Mechanics,2012,29(3):327-332. 任年鑫,欧进萍. 大型海上风力机尾迹区域风场分析[J].计算力学学报,2012,29(3):327-332. [46] HASAGER C B, RASMUSSEN L, ALFREDO P, et al. Wind farm wake: The horns rev photo case[J]. Energies, 2013, 6(2):696-716. [47] BARTHELMIE R,LARSEN G, BERGSTRöMH, et al. ENDOW: Efficient development of offshore windfarms: Modelling wake and boundary-layer interactions[C]// European Wind Energy Conference. John Wiley & Sons, Ltd, 2003. |