DOI: 10.1029/2017JD028049
Scopus记录号: 2-s2.0-85049833981
论文题名: Estimating Integrated Water Vapor Trends From VLBI, GPS, and Numerical Weather Models: Sensitivity to Tropospheric Parameterization
作者: Balidakis K. ; Nilsson T. ; Zus F. ; Glaser S. ; Heinkelmann R. ; Deng Z. ; Schuh H.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 12 起始页码: 6356
结束页码: 6372
语种: 英语
英文关键词: empirical meteorological model
; homogenization
; integrated water vapor
; mapping functions
; VLBI
Scopus关键词: diurnal variation
; empirical analysis
; estimation method
; GNSS
; GPS
; harmonic analysis
; hydrostatics
; parameterization
; ray tracing
; satellite data
; trend analysis
; very long baseline interferometry
; water vapor
; wavelength
英文摘要: In this study, we estimate integrated water vapor (IWV) trends from very long baseline interferometry (VLBI) and global navigation satellite systems (GNSS) data analysis, as well as from numerical weather models (NWMs). We study the impact of modeling and parameterization of the tropospheric delay from VLBI on IWV trends. We address the impact of the meteorological data source utilized to model the hydrostatic delay and the thermal deformation of antennas, as well as the mapping functions employed to project zenith delays to arbitrary directions. To do so, we derive a new mapping function, called Potsdam mapping functions based on NWM data and a new empirical model, GFZ-PT. GFZ-PT differs from previous realizations as it describes diurnal and subdiurnal in addition to long-wavelength variations, it provides harmonic functions of ray tracing-derived gradients, and it features robustly estimated rates. We find that alternating the mapping functions in VLBI data analysis yields no statistically significant differences in the IWV rates, whereas alternating the meteorological data source distorts the trends significantly. Moreover, we explore methods to extract IWV given a NWM. The rigorously estimated IWV rates from the different VLBI setups, GNSS, and ERA-Interim are intercompared, and a good agreement is found. We find a quite good agreement comparing ERA-Interim to VLBI and GNSS, separately, at the level of 75%. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113680
Appears in Collections: 气候减缓与适应
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作者单位: GFZ, German Research Centre for Geosciences, Space Geodetic Techniques, Potsdam, Germany; Institute for Geodesy and Geoinformation Science, Technische Universität Berlin, Berlin, Germany
Recommended Citation:
Balidakis K.,Nilsson T.,Zus F.,et al. Estimating Integrated Water Vapor Trends From VLBI, GPS, and Numerical Weather Models: Sensitivity to Tropospheric Parameterization[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(12)