基于星载激光雷达数据的海面风速探测

使用新版(Version 3.01)星载激光雷达CALIPSO Level 1剖面数据和Level 2的大气气溶胶光学厚度(AOD)数据反演全球海面风速。将AOD数据用于大气双程透射率的校正。对CALIPSO 所采集的2007年1月、4月、7月和10月532 nm 波长无云激光测量数据进行应用计算，采用532 nm退偏比经验修正海面白帽及水下次表层水体散射的影响，同时选用准同步的AMSR-E海面风速测量值为真值进行对比。对应2007年的4个月，由CALIPSO星载激光雷达532 nm单脉冲测量数据反演海面风速的标准偏差分别为1.24、1.24、1.24、1.20 m/s，由5 km滚动平均数据反演海面风速的标准偏差分别为0.98、1.02、0.98、0.94 m/s。结果表明，采用的数据反演方法可行且数据利用率得到提高。

Abstract

The global sea surface wind speeds are retrieved from the Version 3.01 CALIPSO lidar level 1 profile products and level 2 aerosol optical depth (AOD) products. The corresponding AOD data are used for correction of the two-way atmospheric transmittance, which allows wind speeds retrieval in the presence of significant amount of aerosols. Four months (January, April, July and October, 2007) of the CALIPSO lidar 532 nm data are selected. The AMSR-E sea surface wind speed data are collocated with the CALIPSO data and used for comparison. Effects from whitecaps and subsurface backscattering signals are corrected empirically using the lidar depolarization ratio measurement. The standard deviations of wind speeds retrieved by the CALIPSO lidar single-shot data and those by AMSR-E are 1.24, 1.24, 1.24, 1.20 m/s, respectively, for January, April, July and October, 2007. The standard deviations are reduced to 0.98, 1.02, 0.98, 0.94 m/s, respectively, when the lidar data is smoothed with a 5 km running window. The results show that the method works well and the data utilizing rate increases.

参考文献

[1] W. H. Hunt, D. M. Winker, M. A. Vaughan et al.. CALIPSO lidar description and performance assessment ［J］. Atmos. Oceanic Technol., 2009, 26(7): 1214～1228

[2] D. Wu, Y. Hu, M. P. Mccormick et al.. Global cloud layer distribution statistics from one year′s CALIPSO lidar observations ［J］. Int. J. Remote Sens., 2011, 32(5): 1269～1288

[3] 吴东, 贾佳. CALIPSO星载激光在全球海洋上空的穿透性统计［J］. 大气与环境光学学报, 2011, 6(4): 252～259

Wu Dong, Jia Jia. Global penetrability statistics of CALIPSO over ocean laser samples ［J］. J. Atmos. Environ. Opt., 2011, 6(4): 252～259

[4] R. T. Menzies, D. M. Tratt, W. H. Hunt. Lidar in-space technology experiment measurements of sea surface directional reflectance and the link to surface wind speed ［J］. Appl. Opt., 1998, 37(24): 5550～5559

[5] R. S. Lancaster, J. D. Spinhirne, S. P. Palm. Laser pulse reflectance of the ocean surface from the GLAS satellite lidar ［J］. Geophs. Res. Lett., 2005, 32(22): L22S10

[6] Y. Hu, K. Stamnes, M. Vaughan et al.. Sea surface wind speed estimation from space-based lidar measurements ［J］. Atmos. Chem. Phys., 2008, 8(1): 3593～3601

[7] R. Kodis. A note on the theory of scattering from an irregular surface ［J］. IEEE Trans. Antennas & Propag., 1966, 14(1): 77～82

[8] D. E. Barrick. Rough surface scattering based on the specula point theory ［J］. IEEE Trans. Antennas Propag., 1968, 16(4): 449～454

[9] J. K. Bufton, F. E. Hoge, R. N. Swift. Airborne measurements of laser backscatter from the ocean surface ［J］. Appl. Opt., 1983, 22(17): 2603～2618

[10] R. T. Menzies, D. M. Tratt, W. H. Hunt. Lidar in-space technology experiment measurements of sea surface directional reflectance and the link to surface wind speed ［J］. Appl. Opt., 1998, 37(24): 5550～5559

[11] C. Cox, W. Munk. Measurement of the roughness of the sea surface from photographs of the sun′s glitter ［J］. J. Opt. Soc. Am., 1954, 14(11): 838～850

[12] J. Wu. Sea-surface slope and equilibrium wind wave spectra ［J］. Phys. Fluids, 1972, 15: 741～747

[13] C. A. Hostetler, Z. Liu, J. Reagan et al.. CALIOP Algorithm Theoretical Basis Document: Calibration and Level 1 Data Products ［OL］. http://ccplot.org/pub/resources/CALIPSO/CALIOP%20Algorithm%20Theoretical%20Basis%20Document/PC-SCI-202.01%20CALIOP%20Instrument,%20and%20Algorithms%20Overview.pdf,2012-06-13

[14] 贾佳. 基于CALIPSO气溶胶产品LIDAR信号校正的海面风速反演［D］. 青岛：中国海洋大学，2011

Jia Jia. Sea Surface Wind Speed Inversion Based on CALIPSO Aerosol Production ［D］. Qingdao: Ocean University of China, 2011

[15] Y. Hu, Z. Liu, D. Winker et al.. A simple relation between lidar multiple scattering and depolarization for water clouds ［J］. Opt. Lett., 2006, 31(12): 1809～1811

[16] Y. Hu, M. Vaughan, Z. Liu et al.. The depolarization-attenuated backscatter relation: CALIPSO lidar measurement vs theory ［J］. Opt. Express, 2007, 15(9): 5327～5332

[17] 黄旭锋, 步扬, 王向朝. 基于米氏散射理论的太阳光散射偏振特性［J］. 中国激光, 2010, 37(12): 3002～3006

Huang Xufeng, Bu Yang, Wang Xiangzhao. Skylight polarization patterns based on Mie theory for scattering［J］. Chinese J. Lasers, 2010, 37(12): 3002～3006

[18] 赵一鸣, 江月松, 张绪国等. 利用CALIPSO卫星数据对大气气溶胶的去偏振度特性分析研究［J］. 光学学报, 2009, 29(11): 2943～2951

Zhao Yiming, Jiang Yuesong, Zhang Xuguo et al.. Research on the depoalrization ratio characteristic of the aerosol in the atmosphere with the CALIPSO satellite data［J］. Acta Optica Sinica, 2009, 29(11): 2943～2951

[19] 李志刚, Oliver Reitebuch, 刘智深. 激光海表面反射率的机载实验分析［J］. 光学学报, 2011, 31(s1): s100505

Li Zhigang, Oliver Reitebuch, Liu Zhishen. Analysis of sea surface reflectance from airborne lidar experimental measurement ［J］. Acta Optica Sinica, 2011, 31(s1): s100505

吴东, 张小雪, 阎逢旗, 刘兆岩. 基于星载激光雷达数据的海面风速探测[J]. 光学学报, 2012, 32(8): 0828002. Wu Dong, Zhang Xiaoxue, Yan Fengqi, Liu Zhaoyan. Sea Surface Wind Speed Detection by Using the Data of CALIPSO Lidar[J]. Acta Optica Sinica, 2012, 32(8): 0828002.

基于星载激光雷达数据的海面风速探测

关于本站 Cookie 的使用提示

全站搜索

基于星载激光雷达数据的海面风速探测

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索