通过冰面上的GNSS调查确定区域海面地形

A. Liibusk, S. Talvik, A. Ellmann, T. Oja
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引用次数: 2

摘要

海面地形(SST) -大地水准面和海面高度(SSH)之间的差异,在许多海洋应用中都是必需的,例如分析海流和盐度变化。在全球范围内,海温可以通过卫星测高和海洋学数据大致确定。然而,在沿海地区,这些方法的精度和空间分辨率都很低。因此,本研究探讨了利用全球导航卫星系统(GNSS)测量提高海温分辨率和精度的相关问题。在波罗的海部分地区的冰面上进行了一项实际案例研究,解决了剖面和点向GNSS测量以确定海温的问题。在大陆和两个主要岛屿(Saaremaa和Hiiumaa)之间的官方冰路(总共50公里)上进行了剖面GNSS测量。在整个研究区域内,对GNSS剖面进行了点向测量(每25平方公里1个点)的补充。gnss导出的高度高度(椭球与海面之间的差值)采用干舷冰和瞬时海平面高度值与平均海平面的偏移量进行校正。为了从gnss导出和修正的海面温度计算海表温度,使用了最新的高分辨率(1' × 2')重力大地水准面模型gravity - geoid2011。估计的海温与全球海温模式DTU10MDT和较早的区域海温模式进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining regional sea surface topography by GNSS surveys on ice
Sea surface topography (SST) - the difference between the geoid and sea surface height (SSH), is requested for many marine applications, e.g. for analyzing currents and variation of salinity. Globally, SST can be roughly determined by using satellite altimetry and oceanographic data. However, in coastal areas, the accuracy and spatial resolution of these methods are rather low. Accordingly, issues related to enhancing SST resolution and accuracy with GNSS (Global Navigation Satellite Systems) measurements are explored in this study. A practical case study that was carried out on the ice surface over a part of the Baltic Sea tackles profile- and point-wise GNSS measurements for determining SST. Profile-wise GNSS measurements were proceeded on official ice roads (altogether 50 km) between the mainland and the two major islands (Saaremaa and Hiiumaa). The GNSS profiles were complemented with GNSS point-wise measurements scattered (1 point per 25 km2) all over the study area. The GNSS-derived SSH, which is the difference between the ellipsoid and the sea surface, was corrected with ice freeboard and corrections due to offsets of instantaneous sea level height values from the mean sea level. For calculating SST from the GNSS-derived and corrected SSH, a recent high-resolution (1' × 2') gravimetric geoid model GRAV-GEOID2011 was used. The estimated SST was compared to the global SST model DTU10MDT and with an earlier regional SST model.
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