| 基于Himawari-8卫星的逐时次海表温度融合 |
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| 引用本文： | 周旋,叶小敏,周江涛,杨晓峰.基于Himawari-8卫星的逐时次海表温度融合[J].海洋学报,2021,43(1):137-146. |
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| 作者姓名： | 周旋 叶小敏 周江涛 杨晓峰 |
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| 作者单位： | 1.中国人民解放军61741部队，北京 100094 |
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| 基金项目： | 国家重点研发计划(2017YFB0502800,2018YFC0213104)。 |
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| 摘 要： | Himawari-8卫星是日本气象厅发射的新一代地球同步静止气象卫星，为获取逐时次海表温度产品提供了有力数据支持。本文以Himawari-8 AHI海表温度为基础，利用最优插值法融合GCOM-W1 AMSR2海表温度和NERA-GOOS现场观测资料，生成逐时次海表温度融合产品。为了充分利用邻近时刻的海表温度观测资料，利用Himawari-8 AHI海表温度和欧洲中期天气预报中心海面风速数据建立匹配数据集，研究建立海表温度日变化模型，实现邻近时刻海表温度的订正；为了消除多源海表温度间的系统偏差，以Himawari-8 AHI海表温度为目标数据，利用泊松方程对GCOM-W1 AMSR2海表温度进行偏差订正。实验验证结果表明，利用逐时次海表温度融合产品计算的日增温情况与海面风速具有较好的相关性，间接证实了逐时次海表温度融合产品的准确性；另外，逐时次海表温度融合产品与现场观测海表温度的偏差为0.09℃、均方根误差为0.89℃，二者具有较好的一致性，说明逐时次海表温度融合产品具有较高的精度。
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| 关 键 词： | Himawari-8卫星 逐时次海表温度融合 日变化订正 偏差订正 |
| 收稿时间： | 2019-11-26 |
Hourly sea surface temperature fusion based on Himawari-8 satellite |
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| Zhou Xuan,Ye Xiaomin,Zhou Jiangtao,Yang Xiaofeng.Hourly sea surface temperature fusion based on Himawari-8 satellite[J].Acta Oceanologica Sinica (in Chinese),2021,43(1):137-146. |
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| Authors: | Zhou Xuan Ye Xiaomin Zhou Jiangtao Yang Xiaofeng |
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| Institution: | 1.61741 Troops of PLA, Beijing 100094, China2.National Satellite Ocean Application Service, Beijing 100081, China3.State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | Himawari-8 is a new generation geostationary meteorological satellite launched by the Japan Meteorological Agency,and provides the important observation data for merging hourly sea surface temperature(SST).This paper uses the optimal interpolation method to provide the hourly Northwest Pacific SST based on the Advanced Himawari Imagery(AHI)SST,the Global Change Observation Mission-Water(GCOM-W1)Advanced Microwave Scanning Radiometer 2(AMSR2)SST and North-East Asian Regional–Global Ocean Observing System(NEARGOOS)SST.The diurnal SST variation and the bias between multi-source SSTs are the two significant factors affecting the accuracy of hourly SST fusion products.In order to make full use of SST at the adjacent time and improve the accuracy,a diurnal variation model of Himawari-8 AHI SST is established by using the matchup data set,which contains simultaneous Himawari-8 AHI SST and European Centre for Medium-Range Weather Forecasts wind data at the same location.In addition,a bias correction method based on Poisson’s equation is applied to correct GCOM-W1 AMSR2 SST biases relative to the AHI SST.The experimental results show that the diurnal warming calculated by the hourly SST fusion product is closely related to sea surface wind speed,which indirectly confirms the accuracy of the hourly SST fusion products.The root mean square difference and bias between the hourly SST fusion product and NEAR-GOOS SST are 0.89℃and 0.09℃,respectively.The results show that the hourly SST fusion product is basically consistent with the in situ SST. |
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| Keywords: | Himawari-8 satellite hourly sea surface temperature fusion diurnal variation correction bias correction |
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