| 基于最优插值方法的微波-红外辐射计数据融合全球海面温度网格产品 |
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| 引用本文： | 孙伟富,王进,张杰,马毅,孟俊敏,杨雷,苗俊伟.基于最优插值方法的微波-红外辐射计数据融合全球海面温度网格产品[J].海洋学报(英文版),2018,37(9):41-49. |
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| 作者姓名： | 孙伟富 王进 张杰 马毅 孟俊敏 杨雷 苗俊伟 |
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| 作者单位： | 国家海洋局第一海洋研究所, 青岛, 266061,物理科学学院, 青岛大学, 青岛, 266071,国家海洋局第一海洋研究所, 青岛, 266061,国家海洋局第一海洋研究所, 青岛, 266061,国家海洋局第一海洋研究所, 青岛, 266061,地球科学与技术学院, 中国石油大学(华东), 青岛, 266580,测绘科学与工程学院, 山东科技大学, 青岛, 266590 |
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| 基金项目： | The National Key Research and Development Program of China under contract No. 2016YFA0600102; the Basic Scientific Fund for National Public Research Institutes of China under contract No. 2015T03; the State Oceanic Administration''s Second Remote Sensing Survey of East India Ocean Environmental Parameters under contract No. GASI-02-IND-YGST2-04. |
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| 摘 要： | A new 0.1° gridded daily sea surface temperature(SST) data product is presented covering the years 2003–2015. It is created by fusing satellite SST data retrievals from four microwave(Wind Sat, AMSR-E, ASMR2 and HY-2 A RM)and two infrared(MODIS and AVHRR) radiometers(RMs) based on the optimum interpolation(OI) method. The effect of including HY-2 A RM SST data in the fusion product is studied, and the accuracy of the new SST product is determined by various comparisons with moored and drifting buoy measurements. An evaluation using global tropical moored buoy measurements shows that the root mean square error(RMSE) of the new gridded SST product is generally less than 0.5℃. A comparison with US National Data Buoy Center meteorological and oceanographic moored buoy observations shows that the RMSE of the new product is generally less than 0.8℃. A comparison with measurements from drifting buoys shows an RMSE of 0.52–0.69℃. Furthermore, the consistency of the new gridded SST dataset and the Remote Sensing Systems microwave-infrared SST dataset is evaluated, and the result shows that no significant inconsistency exists between these two products.
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| 关 键 词： | SST 辐射计 数据融合 最优插值 |
| 收稿时间： | 2017/11/2 0:00:00 |
A new global gridded sea surface temperature product constructed from infrared and microwave radiometer data using the optimum interpolation method |
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| SUN Weifu,WANG Jin,ZHANG Jie,MA Yi,MENG Junmin,YANG Lei and MIAO Junwei.A new global gridded sea surface temperature product constructed from infrared and microwave radiometer data using the optimum interpolation method[J].Acta Oceanologica Sinica,2018,37(9):41-49. |
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| Authors: | SUN Weifu WANG Jin ZHANG Jie MA Yi MENG Junmin YANG Lei and MIAO Junwei |
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| Institution: | 1.The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China2.College of Physics, Qingdao University, Qingdao 266071, China3.School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China4.College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China |
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| Abstract: | A new 0.1° gridded daily sea surface temperature (SST) data product is presented covering the years 2003–2015. It is created by fusing satellite SST data retrievals from four microwave (WindSat, AMSR-E, ASMR2 and HY-2A RM) and two infrared (MODIS and AVHRR) radiometers (RMs) based on the optimum interpolation (OI) method. The effect of including HY-2A RM SST data in the fusion product is studied, and the accuracy of the new SST product is determined by various comparisons with moored and drifting buoy measurements. An evaluation using global tropical moored buoy measurements shows that the root mean square error (RMSE) of the new gridded SST product is generally less than 0.5°C. A comparison with US National Data Buoy Center meteorological and oceanographic moored buoy observations shows that the RMSE of the new product is generally less than 0.8°C. A comparison with measurements from drifting buoys shows an RMSE of 0.52–0.69°C. Furthermore, the consistency of the new gridded SST dataset and the Remote Sensing Systems microwave-infrared SST dataset is evaluated, and the result shows that no significant inconsistency exists between these two products. |
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| Keywords: | sea surface temperature radiometer data fusion optimum interpolation |
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