Estimating Surface Current from HIMAWARI-8 SST Data using Particle Image Velocimetry Method (Case Study in The Flores Sea)

Kadek Setiya Wati, Takahiro Osawa, I Wayan Gede Astawa Karang
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Abstract

Four High-Frequency radar systems (HF) have been installed in Indonesia to monitor surface currents. In-situ ocean current observations are relatively expensive and limited by spatial and temporal resolution. Satellite remote sensing enables the estimate of surface current data generally from surface tracer data, including sea surface temperature (SST). Various methodologies have been developed to obtain surface currents. With Himawari-8 SST data, this study examines the accuracy of the resulting estimation. The cross-correlation fields of two identical-sized interrogation windows obtained from sequential images are employed in Particle Image Velocimetry (PIV). The HF radar in Labuan Bajo was used to validate surface current velocity estimates. RMSE, bias, and the Willmott index determined the accuracy. According to the estimates of surface currents made on July 29, 2022, the results follow a monsoon characteristic wind pattern in the Flores Sea. HF radar observations better validate the V component current estimation than the U component current estimation. A study of sea surface currents from SST data is lacking in Indonesian seas, and more repetition is required. As a result, This method has the potential can be employed to observe aquatic environments in other Indonesian areas.

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利用粒子图像测速法估算HIMAWARI-8海温数据中的表面流(以弗洛雷斯海为例)
印尼已经安装了四套高频雷达系统(HF)来监测海面洋流。原位海流观测相对昂贵,且受时空分辨率的限制。卫星遥感一般可以从表面示踪剂数据(包括海温)估计表面洋流数据。已经发展了各种方法来获得表面电流。利用Himawari-8海温数据,本研究检验了估算结果的准确性。将序列图像中两个大小相同的询问窗口的相互关场用于粒子图像测速。Labuan Bajo的高频雷达用于验证地表流速估计。均方根误差、偏差和威尔莫特指数决定了准确性。根据2022年7月29日对海面洋流的估计,结果符合弗洛雷斯海的季风特征风型。高频雷达观测比U分量电流估计更能验证V分量电流估计。印度尼西亚海域缺乏根据海温资料对海表流的研究,需要更多的重复研究。因此,该方法具有应用于印度尼西亚其他地区水生环境观测的潜力。</p>
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12 weeks
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