摘要
使用2017年10月、2018年1月、2018年4月和2018年7月Version 4.10星载激光雷达CALIOP Level 1B和Version 4.20 Level 2的日夜数据反演全球海面风速,选用准同步观测的Version 8.2 AMSR-2的海面风速值进行对比。在前人利用CALIOP无云数据进行海面风速反演的基础上,进一步将透明云层的数据用于风速反演,在明显增加数据量的同时,保持了相当的反演精度。探究不同的海面斜率分布模型的差异对CALIOP海面风速反演的影响,给出了夜间和日间有透明云层条件下的近似Gram-Charlier模型。结果显示,高斯模型整体的误差相对较小,但近似Gram-Charlier模型修正了偏度和峰度的影响,在较低风速(小于3 m·s^(-1))和较高风速(大于13 m·s^(-1))情况下表现更好。采用有透明云层条件下的近似Gram-Charlier模型:利用2017年10月、2018年1月、2018年4月和2018年7月的夜间数据反演的标准偏差分别为1.22,1.33,1.20,1.39 m·s^(-1),相关系数分别为0.92,0.91,0.92,0.90;利用日间数据反演的标准偏差分别为1.41,1.45,1.86,1.69 m·s^(-1),相关系数分别为0.90,0.89,0.86,0.87。
Daytime and nighttime spaceborne lidar data from CALIOP Version 4.10 Level 1B and Version 4.20 Level 2 products are used to retrieve sea surface wind speed globally in October 2017,January 2018,April 2018,and July 2018.The quasi-synchronous sea surface wind speed observed by the Version 8.2 AMSR-2 product is selected for comparison.Based on the previous studies of sea surface wind speed which focused on the cloud-free data of CALIOP,the data of transparent cloud layers are further used for the retrieval of sea surface wind speed,and the retrieval accuracy maintaines the same level when the data is added significantly.The effects of differences between different sea surface slope distribution models on the retrieval of sea surface wind speed by CALLOP are explored.Furthermore,the Gram-Charlier approximation model with transparent cloud layers at daytime and nighttime is given.Results show that the Gaussian model has relatively small error,while the Gram-Charlier approximation model corrects the effect of kurtosis and skewness,and has better performance when wind speed is low(<3 m·s^(-1))or high(>13 m·s^(-1)).According to results of the Gram-Charlier approximation model with transparent cloud layers,the standard deviations of nighttime data in October 2017,January 2018,April 2018,and July 2018 are 1.22 m·s^(-1),1.33 m·s^(-1),1.20 m·s^(-1),and 1.39 m·s^(-1),respectively,and the correlation coefficients are 0.92,0.91,0.92,and 0.90,respectively.The standard deviations of the daytime data are 1.41 m·s^(-1),1.45 m·s^(-1),1.86 m·s^(-1),and 1.69 m·s^(-1),respectively,and the correlation coefficients are 0.90,0.89,0.86,and 0.87,respectively.
作者
张馨毅
吴东
杨振威
贺岩
Zhang Xinyi;Wu Dong;Yang Zhenwei;He Yan(Department of Marine Technology,Faculty of Information Science and Engineering,Ocean University of China,Qingdao 266100,Shandong,China;Laboratory for Regional Oceanography and Numerical Modeling,Pilot National Laboratory for Marine Science and Technology,Qingdao 266237,Shandong,China;Key Laboratory of Space Laser Communication and Detection Technology,Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China)
出处
《光学学报》
EI
CAS
CSCD
北大核心
2022年第18期175-181,共7页
Acta Optica Sinica
基金
中国科学院空间激光信息传输与探测技术重点实验室开放基金。
关键词
遥感
星载激光雷达
海面后向散射
海面风速
海面斜率分布
remote sensing
spaceborne lidar
sea surface backscatter
sea surface wind speed
sea surface slope distribution
