Parameters of Wave Processes from GNSS Data

被引:0
|
作者
Khutorova, O. G. [1 ]
Khutorov, V. E. [1 ]
Korchagin, G. E. [1 ]
机构
[1] Kazan Volga Reg Fed Univ, Kazan 420008, Russia
关键词
GNSS; GLONASS; GPS; waves in the atmosphere; INTEGRATED WATER-VAPOR; VARIABILITY; TROPOSPHERE;
D O I
10.1134/S1024856022010092
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Mesoscale spatiotemporal variations with periods of 3-60 days are studied based on the remote sensing data from the GLONASS GPS receiver network in 2012-2015. The main modes of mesoscale variations are found; empirical distributions of their amplitudes, phase velocities, and spatial scales are constructed. The seasonal dependences of these parameters are found. Using independent data from meteorological stations and ERA5 reanalysis, it is shown that variations in the zenith tropospheric delay of radio waves, integral moisture content of the atmosphere, surface refractive index, and wind speed in the troposphere are determined by the same mesoscale atmospheric processes, with the most probable wavelengths of no more than 8000 km.
引用
收藏
页码:52 / 56
页数:5
相关论文
共 50 条
  • [41] Research on GNSS Interoperable Parameters
    Han Tao
    Wu Haitao
    Lu Xiaochun
    Wang Xue
    Bai Yan
    Hao Weina
    Yang Guang
    PROCEEDINGS OF THE ION 2013 PACIFIC PNT MEETING, 2013, : 115 - 122
  • [42] Note on wave parameters from moored wave buoys
    Niclasen, B. A.
    Simonsen, K.
    APPLIED OCEAN RESEARCH, 2007, 29 (04) : 231 - 238
  • [43] CKM parameters from |ΔS| processes
    Valencia, G
    ACTA PHYSICA POLONICA B, 2002, 33 (12): : 4283 - 4315
  • [44] WAVE DATA DISCRETIZATION FOR SHORE LINE PROCESSES - CLOSURE
    LEMEHAUTE, B
    WANG, JD
    LU, CC
    JOURNAL OF WATERWAY PORT COASTAL AND OCEAN ENGINEERING-ASCE, 1984, 110 (01): : 130 - 130
  • [45] WAVE DATA DISCRETIZATION FOR SHORE LINE PROCESSES - DISCUSSION
    KRAUS, NC
    JOURNAL OF WATERWAY PORT COASTAL AND OCEAN ENGINEERING-ASCE, 1984, 110 (01): : 128 - 130
  • [46] Application of the neural network on the GNSS-Reflectometry data for the estimation of the significant wave height
    Maheshwari, Megha
    Kumar, Akhilesh
    Chakraborty, Arun
    Srini, Nirmala
    2022 URSI Regional Conference on Radio Science, USRI-RCRS 2022, 2022,
  • [47] Regional modeling of ionospheric peak parameters using GNSS data-An update for IRI
    Liang, Wenjing
    Limberger, Marco
    Schmidt, Michael
    Dettmering, Denise
    Hugentobler, Urs
    Bilitza, Dieter
    Jakowski, Norbert
    Hoque, M. Mainul
    Wilken, Volker
    Gerzen, Tatjana
    ADVANCES IN SPACE RESEARCH, 2015, 55 (08) : 1981 - 1993
  • [48] Determination of the ionospheric response parameters to the engine operation of spaceship "Progress" according to GNSS data
    Ishin, A. B.
    Voeykov, S. V.
    23RD INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS, 2017, 10466
  • [49] Application of the neural network on the GNSS-Reflectometry data for the estimation of the significant wave height
    Maheshwari, Megha
    Kumar, Akhilesh
    Chakraborty, Arun
    Srini, Nirmala
    2022 URSI REGIONAL CONFERENCE ON RADIO SCIENCE, USRI-RCRS, 2022, : 404 - 407
  • [50] Automated Detection and Characterization of Wave Structures Obtained From GNSS Measurements
    Jonah, Olusegun
    Reyes, Pablo
    Lamarche, Leslie
    van Eyken, Anthony
    EARTH AND SPACE SCIENCE, 2023, 10 (12)