Analysis of GRACE time series noise characteristics

被引:0
|
作者
Gunes, Ozge [1 ]
Aydin, Cuneyt [1 ]
机构
[1] Yildiz Tekn Univ, Insaat Fak, Harita Muhendisligi Bolumu, Istanbul, Turkiye
来源
GEOMATIK | 2024年 / 9卷 / 01期
关键词
GRACE; Colored Noise; Temporal Correlation; Stochastic Model; Welch Method; GIS; SYSTEMS; EXAMPLE;
D O I
10.29128/geomatik.1307208
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Total water storage variations have been monitored using the GRACE satellite system since its launch in 2002. In the analysis of total water storage time series, which are defined in terms of equivalent water thickness, the harmonic regression method, a functional model incorporating trend and seasonal signals, is used. In this model, the observations are presumed to be equally weighted and uncorrelated. In other words, only white noise is included in the stochastic model. However, a spectrum analysis of the time series reveals temporal correlations, which result in colored noise. In this study, the power spectral of these colored noise characteristics is examined using the Goddard Space Flight Center mascon dataset with monthly sampling from 2002 to 2022. The total water storage change time series shows a colored noise pattern with a negative spectral index. In global analyses, it has been shown that the mascon (mass concentration) time series representing terrestrial regions has a characteristic of colored noise defined in the fractional Brownian power spectrum, which is similar to flicker noise. Furthermore, the DDK (Decorrelation Filter) dataset, which is derived from monthly spherical harmonic coefficients, is also used, and similar results are obtained.
引用
收藏
页码:45 / 53
页数:9
相关论文
共 50 条
  • [1] Noise characteristics of GPS time series and their influence on velocity uncertainties
    Ray, Jagat Dwipendra
    Vijayan, M. Sithartha Muthu
    Kumar, Ashok
    JOURNAL OF EARTH SYSTEM SCIENCE, 2019, 128 (06)
  • [2] Noise characteristics of GPS time series and their influence on velocity uncertainties
    Jagat Dwipendra Ray
    M Sithartha Muthu Vijayan
    Ashok Kumar
    Journal of Earth System Science, 2019, 128
  • [3] Applying autoregressive models in analysis of GRACE-Mascon time-series
    Gunes, Ozge
    Aydin, Cuneyt
    ADVANCES IN GEODESY AND GEOINFORMATION, 2022, 71 (02)
  • [4] Time Series Analysis Techniques Applied to Transportation Noise
    Guarnaccia, C.
    Elia, L.
    Quartieri, J.
    Tepedino, C.
    2017 1ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2017 17TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE), 2017,
  • [5] Analysis of "scanner frequency" noise in fMRI time series
    li, Shunshan
    Buonocore, Michael H.
    Zhuang, Tiange
    Shi, Jianrong
    Lai, Song
    2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 5097 - 5098
  • [6] Noise analysis of unevenly spaced time series data
    Hackman, C
    Parker, TE
    METROLOGIA, 1996, 33 (05) : 457 - 466
  • [7] ONLINE ANALYSIS OF REACTOR NOISE USING TIME-SERIES ANALYSIS
    MCGEVNA, VG
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 1982, 29 (01) : 684 - 687
  • [8] Irregular variations in GPS time series by probability and noise analysis
    Klos, A.
    Bogusz, J.
    Figurski, M.
    Kosek, W.
    SURVEY REVIEW, 2015, 47 (342) : 163 - 173
  • [9] Analysis of stochastic time series in the presence of strong measurement noise
    Lehle, B.
    PHYSICAL REVIEW E, 2011, 83 (02):
  • [10] REPEATED TIME-SERIES ANALYSIS OF ARIMA NOISE MODELS
    WONG, WK
    MILLER, RB
    JOURNAL OF BUSINESS & ECONOMIC STATISTICS, 1990, 8 (02) : 243 - 250