孙伟富,赵宇佳,陈磊,张 杰,吴培强.全球海洋大气柱水汽含量遥感融合数据产品生成[J].海洋通报,2022,(4): |
全球海洋大气柱水汽含量遥感融合数据产品生成 |
Generation of global ocean columnar atmospheric water vapor using remote sensing data |
投稿时间:2021-08-28 修订日期:2021-11-24 |
DOI:10.11840/j.issn.1001-6392.2022.04.007 |
中文关键词: 全球海洋 大气柱水汽含量 遥感 辐射计 最优插值 |
英文关键词:Global Ocean Columnar Atmospheric Water Vapor Remote Sensing Radiometer Optimum Interpolation |
基金项目:国家重点研发计划项目“全球气候数据集生成及气候变化关键过程和要素监测”课题“海洋气候数据集生成与分析” (NO.2016YFA0600102) |
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中文摘要: |
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,对生成的全部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优于3 mm,平均偏差优于0.6 mm,平均绝对偏差优于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。 |
英文摘要: |
Based on the optimal interpolation (OI) 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. And 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 overall Bias is smaller than 0.6 mm, the RMSE and Std are better than 3 mm and the MAD and R are better than 2 mm and 0.98, respectively. 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. |
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