海平面异常(SLA)与潮汐测量仪在大地水准面建模中的对比验证

N. M. Yazid, Ami Hassan Md Din, M. F. PA’SUYA, N. Abdullah, M. Kaamin, Muhammad Azraie, Abdul Kadir
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引用次数: 0

摘要

长期的海平面上升尤其令人关注,需要对海岸保护程序进行大量投资。从几个世纪前开始,沿海海平面就已经通过验潮仪得到了验证,并以可靠的数据准 确性得到了很好的维护。卫星测高仪已用于海平面研究,并越来越多地用于业务目的。然而,沿海地区测高数据的精度经常被地理上相关的轨道误差所影响,这导致了区域性的不均匀任务偏差。本研究介绍了根据测高数据与验潮站一起验证海平面异常的工作,作为早期程序,为平均海面、重力异常和马来西亚海域大地水准面的确定提供良好的海平面异常数据。通过比较海平面异常与沿海地区附近的地面实况数据(潮汐数据),对测高数据进行验证。共选择了九个区域代表地面实况数据。研究结果发现,南海(刁曼岛、格亭、仙德林、民都鲁和亚庇)的测高数据在与潮汐海平面异常数据验证后提供了良好的模式、高相关性和最小均方根误差(RMSE)值。然而,这清楚地表明,西里伯斯海的斗湖站提供的模式较差,相关性较差,与潮汐海平面异常数据的均方根误差值较高。总之,通过对测高数据的精细处理和过滤,可望进一步提高沿海地区的海平面研究水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Verification of Sea Level Anomaly (SLA) Versus Tide Gauge for Geoid Modelling
The increasing long-term sea level rise is of particular interest and needs a significant investment in coastal protection procedures. The coastal sea level has been verified with tide gauges and well maintained with reliable accuracy of data since a few centuries ago. Satellite altimeter has been used for sea level study and increasingly for operational purposes. However, the precision of altimetry data in coastal areas is frequently eliminated by the geographically correlated orbit errors, which induce a regional inhomogeneous mission bias. This study presents an effort to verify sea level anomaly based on altimetry data with tide gauge stations as an early procedure to provide a good sea level anomaly data for mean sea surface, gravity anomaly, and geoid determination over Malaysian seas. The altimetry data is validated by comparing the sea level anomaly with ground truth data (tidal data) near the coastal area. A total of nine selected areas were chosen to represent the ground truth data. The findings found that the altimetry data over the South China Sea (Pulau Tioman, Geting, Cendering, Bintulu, and Kota Kinabalu) provided a good pattern, high correlation, and a minimum root mean square error (RMSE) value after the verification with tidal sea level anomaly data. However, it clearly shows that Tawau station over the Celebes Sea provides a poor pattern, poor correlation, and a high RMSE value with tidal sea level anomaly data. In conclusion, further enhancements are expected from the refined processing and filtering of altimetry data for the sea level study in the coastal zone.
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