Analysis of the temporal and spatial variability of the wet troposphere at a local scale by high-rate PPP using a dense GNSS network

被引:0
|
作者
Realini, Eugenio [1 ]
Tsuda, Toshitaka [1 ]
Sato, Kazutoshi
Oigawa, Masanori
Iwaki, Yuya
机构
[1] Kyoto Univ, Res Inst Sustainable Humanosphere, Kyoto 6068501, Japan
关键词
DELAYS;
D O I
暂无
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The objective of this work is to study and characterize the temporal and spatial variability of water vapor at a local scale, i.e. less than 10 km, by analyzing wet tropospheric delays estimated by a dense GNSS network. Experiments using high-rate (30 s and 5 s) observations are conducted in order to investigate also the short periodic refractivity fluctuations induced by turbulence, expected to be in the range of minutes to seconds. The effects induced by interpolation errors of satellite clocks with high-rate observations are investigated. The GPS-derived precipitable water vapor (PWV) is validated by comparison with the PWV measured by radiosondes and a radiometer, obtaining differences of about 2 mm in RMS. The distribution of PWV is studied by geostatistics (kriging) and turbulence analyses. Spatial and temporal structure functions are computed for both zenith wet delays and show power-law behaviors varying between 5/3 and 2/3, consistently with the Treuhaft-Lanyi model (i.e. a long baseline approximation for Kolmogorov turbulence theory). Power-law behaviors in temporal structure functions result both for long-term variations, with correlation lengths depending on the weather conditions, and for short-term fluctuations, until about 10 seconds; for shorter time lags the structure functions decon-elate into noise.
引用
收藏
页码:3406 / 3412
页数:7
相关论文
共 10 条
  • [1] Rapid Source Determination of the 2021 Mw 7.4 Maduo Earthquake by a Dense High-Rate GNSS Network in the Tibetan Plateau
    Ding, Kaihua
    Wang, Qi
    Li, Zhicai
    He, Ping
    Zhang, Peng
    Chen, Jianfeng
    You, Xinzhao
    Zhao, Lijiang
    SEISMOLOGICAL RESEARCH LETTERS, 2022, 93 (06) : 3234 - 3245
  • [2] Analysis and Characterization of Probability Distribution and Small-Scale Spatial Variability of Rainfall in Singapore Using a Dense Gauge Network
    Mandapaka, Pradeep V.
    Qin, Xiaosheng
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2013, 52 (12) : 2781 - 2796
  • [3] Analysis of the dynamic behavior of structures using the high-rate GNSS-PPP method combined with a wavelet-neural model: Numerical simulation and experimental tests
    Kaloop, Mosbeh R.
    Yigit, Cemal O.
    Hu, Jong W.
    ADVANCES IN SPACE RESEARCH, 2018, 61 (06) : 1512 - 1524
  • [4] Local-Scale Precipitable Water Vapor Retrieval from High-Elevation Slant Tropospheric Delays Using a Dense Network of GNSS Receivers
    Realini, Eugenio
    Sato, Kazutoshi
    Tsuda, Toshitaka
    Oigawa, Masanori
    Iwaki, Yuya
    Shoji, Yoshinori
    Seko, Hiromu
    IAG 150 YEARS, 2016, 143 : 485 - 490
  • [5] Brain trauma care targets analysis using a high-rate recording and computing network
    H Mehdaoui
    R Valentino
    L Allart
    D Zitouni
    B Sarrazin
    C Meunier
    I Elzein
    S Tissier
    P Ravaux
    Critical Care, 12 (Suppl 2):
  • [6] Pilot-scale microalgae cultivation and wastewater treatment using high-rate ponds: a meta-analysis
    Velásquez-Orta S.B.
    Yáñez-Noguez I.
    Ramírez I.M.
    Ledesma M.T.O.
    Environmental Science and Pollution Research, 2024, 31 (34) : 46994 - 47021
  • [7] Quantitative analysis of the local rates of growth of dicot leaves at a high temporal and spatial resolution, using image sequence analysis
    Schmundt, D
    Stitt, M
    Jähne, B
    Schurr, U
    PLANT JOURNAL, 1998, 16 (04): : 505 - 514
  • [8] Multi-scale multi-temporal landscape pattern analysis using high spatial urban scene classification
    Xu, Mengzi
    Zhong, Yanfei
    Su, Yu
    Liu, Yinhe
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2023, 44 (23) : 7570 - 7597
  • [9] Optimal interpolation analysis of high-latitude ionospheric electrodynamics using empirical orthogonal functions: Estimation of dominant modes of variability and temporal scales of large-scale electric fields
    Matsuo, T
    Richmond, AD
    Lu, G
    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2005, 110 (A6)
  • [10] High Spatial-Temporal Resolution Estimation of Ground-Based Global Navigation Satellite System Interferometric Reflectometry (GNSS-IR) Soil Moisture Using the Genetic Algorithm Back Propagation (GA-BP) Neural Network
    Shi, Yajie
    Ren, Chao
    Yan, Zhiheng
    Lai, Jianmin
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2021, 10 (09)