The estimation of surface flow velocity for Indonesian flow (ITF) using Himawari-8 SST data

Y. Sakuno, N. Kurokawa, N. Taniguchi
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Abstract

The Indonesian Throughflow (ITF) is one of the key ocean current in considering global climate change because ITF transports substantial heat content from the Western Pacific tropical zone to the Eastern Indian Ocean tropical zone. However, the field observation system at the site is very few, and the detail of ITF is not clear. Meanwhile, Japanese geostationary weather satellite, "Himawari-8", which has been in full operation since July 2015, has the ability to observe the hemisphere including the ITF area from visible to infrared radiation at 10 minute intervals. In this research, techniques to estimate the flow distribution of ITF were discussed taking advantage of the features of such high frequency observation. Specifically, surface velocity was estimated by MCC (Maximum Cross Correlation) method using multiple SST (2 km spatial resolution, 1 hour average interval, Level 3) data of P-tree System provided by JAXA. As a result, the flow velocity of 0.5 m/s or more was estimated using the data of August 2017 in the Major Straits of the ITF such as the Lombok Strait. The estimate is consistent with the field observation value measured by ADCP. By using such high-frequency latest satellite data, the possibility of quantifying short-term coastal environment change was shown.
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利用Himawari-8海温资料估算印尼流(ITF)的地表流速
印度尼西亚通流(ITF)是考虑全球气候变化的关键洋流之一,因为它将大量的热含量从西太平洋热带输送到东印度洋热带。但是,现场的野外观测系统很少,ITF的细节也不清楚。与此同时,从2015年7月开始全面运行的日本地球同步气象卫星“Himawari-8”可以每隔10分钟对包括ITF区域在内的半球进行可见光到红外辐射的观测。本文探讨了利用这种高频观测的特点来估计过渡段流动分布的技术。具体而言,利用JAXA提供的P-tree系统的多个海表温度(2 km空间分辨率,1 h平均间隔,Level 3)数据,采用MCC (Maximum Cross Correlation)方法估算地表速度。因此,利用2017年8月的数据,在龙目海峡等ITF主要海峡估计了0.5 m/s以上的流速。估算值与ADCP野外观测值基本一致。利用这类高频最新卫星数据,显示了量化短期沿海环境变化的可能性。
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