全球海洋大气柱水汽含量遥感融合数据产品生成  

Generation of remote sensing fusion product of global ocean columnar atmospheric water vapor

作　　者：孙伟富 赵宇佳 陈磊[2,3] 张杰[1] 吴培强 SUN Weifu;ZHAO Yujia;CHEN Lei;ZHANG Jie;WU Peiqiang(First Institute of Oceanography,Ministry of Natural Resources,Qingdao 266061,China;College of Marine and Information Space,China University of Petroleum(Huadong),Qingdao 266580,China;Engineering and Technology Department Institute of Oceanology,Chinese Academy of Science,Qingdao 266071,China)

机构地区：[1]自然资源部第一海洋研究所,山东青岛266061 [2]中国石油大学(华东)海洋与空间信息学院,山东青岛266580 [3]中国科学院海洋研究所工程技术部,山东青岛266071

出　　处：《海洋通报》2022年第4期418-426,共9页Marine Science Bulletin

基　　金：国家重点研发计划(2016YFA0600102)。

摘　　要：本研究利用国际在轨SSMIS、WindSat、AMSR-E、ASMR2和国产HY-2A微波辐射计多源遥感大气柱水汽含量观测数据,基于最优插值算法,生成了2003-2015年的全球海洋每日0.25°高分辨率的大气柱水汽含量多源遥感融合产品,以及2012—2015年未使用HY-2A微波辐射计数据的全球海洋每日0.25°遥感融合产品。利用无线电探空仪水汽含量观测数据,对生成的全球海洋大气柱水汽含量融合产品进行精度检验。结果表明,总体上,13年间均方根误差和标准差小于3 mm,平均偏差小于0.6 mm,平均绝对偏差小于2 mm,相关系数优于0.98;使用HY-2A微波辐射计数据产品会使融合结果的精度出现微小的降低;AMSR2和HY-2A微波辐射计数据的联合使用对于替代AMSR-E数据具有积极意义。Based on the optimal interpolation(01)algorithm,a daily fusion product of high-resolution global ocean columnar atmospheric water vapor with a resolution of 0.25°from 2003 to 2015 was generated from multisource remote sensing observations of SSMIS,WindSat,AMSR-E,ASMR2 and HY-2A microwave radiometers.Daily/0.25°fusion product not using HY-2A RM data are also generated from 2012 to 2015.Using the water vapor observation data of radiosonde,the accuracy of all the global ocean columnar atmospheric water vapor fusion products was validated.The comparative results show that the RMSE and Std are better than 3 mm,the overall Bias is smaller than 0.6 mm,the MAD is better than 2 mm,and R is better than 0.98.RMSE will increase slightly when HY-2A RM data is used,whereas the increase is so small that it can be ignored.The combined use of AMSR2 and HY-2A RM data is positive for the replacement of AMSR-E data.

关 键 词：全球海洋 大气柱水汽含量 遥感 辐射计 最优插值 

分 类 号：P732[天文地球—海洋科学] P414.4