A new spherical harmonic approach to residual terrain modeling: a case study in the central European Alps

IF 3.9 2区 地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS Journal of Geodesy Pub Date : 2024-07-03 DOI:10.1007/s00190-024-01843-4
Joachim Schwabe, Torsten Mayer-Gürr, Christian Hirt, Tobias Bauer
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Abstract

For decades, the residual terrain model (RTM) concept (Forsberg and Tscherning in J Geophys Res Solid Earth 86(B9):7843–7854, https://doi.org/10.1029/JB086iB09p07843, 1981) has been widely used in regional quasigeoid modeling. In the commonly used remove-compute-restore (RCR) framework, RTM provides a topographic reduction commensurate with the spectral resolution of global geopotential models. This is usually achieved by utilizing a long-wavelength (smooth) topography model known as reference topography. For computation points in valleys this neccessitates a harmonic correction (HC) which has been treated in several publications, but mainly with focus on gravity. The HC for the height anomaly only recently attracted more attention, and so far its relevance has yet to be shown also empirically in a regional case study. In this paper, the residual spherical-harmonic topographic potential (RSHTP) approach is introduced as a new technique and compared with the classic RTM. Both techniques are applied to a test region in the central European Alps including validation of the quasigeoid solutions against ground-truthing data. Hence, the practical feasibility and benefits for quasigeoid computations with the RCR technique are demonstrated. Most notably, the RSHTP avoids explicit HC in the first place, and spectral consistency of the residual topographic potential with global geopotential models is inherently achieved. Although one could conclude that thereby the problem of the HC is finally solved, there remain practical reasons for the classic RTM reduction with HC. In this regard, both intra-method comparison and ground-truthing with GNSS/leveling data confirms that the classic RTM (Forsberg and Tscherning 1981; Forsberg in A study of terrain reductions, density anomalies and geophysical inversion methods in gravity field modeling. Report 355, Department of Geodetic Sciences and Surveying, Ohio State University, Columbus, Ohio, USA, https://earthsciences.osu.edu/sites/earthsciences.osu.edu/files/report-355.pdf, 1984) provides reasonable results also for a high-resolution (degree 2160) RTM, yet neglecting the HC for the height anomaly leads to a systematic bias in deep valleys of up to 10–20 cm.

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残差地形建模的新球面谐波方法:中欧阿尔卑斯山案例研究
几十年来,残差地形模型(RTM)概念(Forsberg 和 Tscherning 在 J Geophys Res Solid Earth 86(B9):7843-7854, https://doi.org/10.1029/JB086iB09p07843, 1981 年)一直被广泛应用于区域准地形模型。在常用的移除-计算-恢复(RCR)框架中,RTM 提供了与全球位势模型光谱分辨率相称的地形缩减。这通常是通过利用称为参考地形的长波长(平滑)地形模型来实现的。对于山谷中的计算点,需要进行谐波校正(HC),这在一些出版物中已有论述,但主要集中在重力方面。对高度异常的谐波校正最近才引起更多关注,迄今为止,其相关性尚未在区域案例研究中得到经验证明。本文介绍了一种新技术--残余球形谐波地形势(RSHTP)方法,并将其与经典的 RTM 进行了比较。两种技术都应用于欧洲中部阿尔卑斯山的一个测试区域,包括根据地面实况数据验证准大地水准面解决方案。因此,使用 RCR 技术进行准大地水准面计算的实际可行性和优势得到了证明。最值得注意的是,RSHTP 首先避免了显式 HC,而且从本质上实现了残余地形势与全球位势模型的光谱一致性。虽然我们可以得出这样的结论,即 HC 问题最终得到了解决,但传统的 RTM 减少 HC 仍有其实际原因。在这方面,方法内部比较和使用全球导航卫星系统/水准测量数据进行的地面实况检验都证实了传统的 RTM(Forsberg 和 Tscherning,1981 年;Forsberg 在《重力场建模中的地形还原、密度异常和地球物理反演方法研究》中的报告。报告 355,俄亥俄州立大学大地测量科学与测量系,美国俄亥俄州哥伦布市,https://earthsciences.osu.edu/sites/earthsciences.osu.edu/files/report-355.pdf,1984 年)也为高分辨率(2160 度) RTM 提供了合理的结果,但忽略高度异常的 HC 会导致深谷中出现高达 10-20 厘米的系统偏差。
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来源期刊
Journal of Geodesy
Journal of Geodesy 地学-地球化学与地球物理
CiteScore
8.60
自引率
9.10%
发文量
85
审稿时长
9 months
期刊介绍: The Journal of Geodesy is an international journal concerned with the study of scientific problems of geodesy and related interdisciplinary sciences. Peer-reviewed papers are published on theoretical or modeling studies, and on results of experiments and interpretations. Besides original research papers, the journal includes commissioned review papers on topical subjects and special issues arising from chosen scientific symposia or workshops. The journal covers the whole range of geodetic science and reports on theoretical and applied studies in research areas such as: -Positioning -Reference frame -Geodetic networks -Modeling and quality control -Space geodesy -Remote sensing -Gravity fields -Geodynamics
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