| SUN Weifu,WANG Jin,ZHANG Jie,MA Yi,MENG Junmin,YANG Lei,MIAO Junwei. 2018. A new global gridded sea surface temperature product constructed from infrared and microwave radiometer data using the optimum interpolation method. Acta Oceanologica Sinica, 37(9):41－49 |
| A new global gridded sea surface temperature product constructed from infrared and microwave radiometer data using the optimum interpolation method |
| 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 |
| Received:November 02, 2017 |
| DOI：10.1007/s13131-018-1206-4 |
| Key words:sea surface temperature radiometer data fusion optimum interpolation |
| 中文关键词: SST 辐射计 数据融合 最优插值 |
| 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. |
| Author Name | Affiliation | E-mail | | SUN Weifu | The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | | | WANG Jin | College of Physics, Qingdao University, Qingdao 266071, China | feiyu_wj@163.com | | ZHANG Jie | The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | | | MA Yi | The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | | | MENG Junmin | The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | | | YANG Lei | School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China | | | MIAO Junwei | 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℃. 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. |
| 中文摘要: |
| 本研究生成了一种新的0.1°网格每日海面温度（SST）数据产品，时间范围覆盖2003-2015年。该SST产品基于最优插值算法，通过融合四个微波辐射计（WindSat，AMSR-E，ASMR2和HY-2A RM）和两个红外辐射计（MODIS和AVHRR）观测数据生成。研究了HY-2A微波辐射计SST数据在融合产品中的作用，并通过与锚系浮标和漂流浮标测量的SST数据比较评估新SST产品的精度。与热带锚系浮标数据的比较表明，新SST产品的均方根误差（RMSE）一般小于0.5℃。与美国国家数据浮标中心的气象和海洋学锚系浮标观测数据比较显示，新产品的RMSE一般小于0.8℃。与漂流浮标的测量结果相比，RMSE在0.52-0.69℃之间。此外，对新网格SST数据集和美国遥感系统微波-红外融合SST数据集的一致性进行了评估，结果表明两者之间没有显著的不一致性。 |
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