Estimating ocean tide model uncertainties for electromagnetic inversion studies

被引:8
|
作者
Saynisch, Jan [1 ]
Irrgang, Christopher [1 ]
Thomas, Maik [1 ,2 ]
机构
[1] GFZ German Res Ctr Potsdam, Earth Syst Modelling, Helmholtz Ctr Potsdam, Potsdam, Germany
[2] Free Univ Berlin, Inst Meteorol, Berlin, Germany
关键词
MAGNETIC-FIELDS; ENERGY-DISSIPATION; OBSERVATORY DATA; UPPER-MANTLE; SATELLITE; SIGNALS; CONDUCTIVITY; INDUCTION; IMPACT; SWARM;
D O I
10.5194/angeo-36-1009-2018
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Over a decade ago the semidiurnal lunar M2 ocean tide was identified in CHAMP satellite magnetometer data. Since then and especially since the launch of the satellite mission Swarm, electromagnetic tidal observations from satellites are increasingly used to infer electric properties of the upper mantle. In most of these inversions, ocean tidal models are used to generate oceanic tidal electromagnetic signals via electromagnetic induction. The modeled signals are subsequently compared to the satellite observations. During the inversion, since the tidal models are considered error free, discrepancies between forward models and observations are projected only onto the induction part of the modeling, e.g., Earth's conductivity distribution. Our study analyzes uncertainties in oceanic tidal models from an electromagnetic point of view. Velocities from hydrodynamic and assimilative tidal models are converted into tidal electromagnetic signals and compared. Respective uncertainties are estimated. The studies main goal is to provide errors for electromagnetic inversion studies. At satellite height, the differences between the hydrodynamic tidal models are found to reach up to 2 nT, i.e., over 100% of the local M2 signal. Assimilative tidal models show smaller differences of up to 0.1 nT, which in some locations still corresponds to over 30% of the M2 signal.
引用
收藏
页码:1009 / 1014
页数:6
相关论文
共 50 条
  • [21] Ocean tide model obtained from TOPEX/POSEIDON altimetry data
    Matsumoto, K
    Ooe, M
    Sato, T
    Segawa, J
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1995, 100 (C12) : 25319 - 25330
  • [22] GLOBAL OCEAN TIDE MODEL WITH HIGH RESOLUTION IN SHELF AREAS.
    Krohn, Joachim
    Marine Geophysical Researches, 1983, 7 (1-2) : 231 - 246
  • [23] A comparison of GPS, VLBI and model estimates of ocean tide loading displacements
    Ian D. Thomas
    Matt A. King
    Peter J. Clarke
    Journal of Geodesy, 2007, 81 : 359 - 368
  • [24] STUDY ON PREDICTION OF TIDE AND OCEAN CURRENT BY DATA-DRIVEN MODEL
    Sun, Zhaochen
    Li, Mingchang
    Liang, Shuxiu
    ADVANCES IN WATER RESOURCES AND HYDRAULIC ENGINEERING, VOLS 1-6, 2009, : 1163 - 1168
  • [25] A GLOBAL OCEAN TIDE MODEL WITH HIGH-RESOLUTION IN SHELF AREAS
    KROHN, J
    MARINE GEOPHYSICAL RESEARCHES, 1984, 7 (1-2) : 231 - 246
  • [26] The performance of a z-level ocean model in modeling the global tide
    Xiao Bin
    Qiao Fangli
    Shu Qi
    ACTA OCEANOLOGICA SINICA, 2016, 35 (11) : 35 - 43
  • [27] The performance of a z-level ocean model in modeling the global tide
    Bin Xiao
    Fangli Qiao
    Qi Shu
    Acta Oceanologica Sinica, 2016, 35 : 35 - 43
  • [28] A comparison of GPS, VLBI and model estimates of ocean tide loading displacements
    Thomas, Ian D.
    King, Matt A.
    Clarke, Peter J.
    JOURNAL OF GEODESY, 2007, 81 (05) : 359 - 368
  • [29] Estimating States and Model Uncertainties Jointly by a Sparsity Promoting UKF
    Goette, Ricarda-Samantha
    Timmermann, Julia
    IFAC PAPERSONLINE, 2023, 56 (01): : 85 - 90
  • [30] Impact of uncertainties in atmospheric boundary conditions on ocean model solutions
    Chaudhuri, Ayan H.
    Ponte, Rui M.
    Forget, Gael
    OCEAN MODELLING, 2016, 100 : 96 - 108