Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2017JD028049 |
Estimating Integrated Water Vapor Trends From VLBI, GPS, and Numerical Weather Models: Sensitivity to Tropospheric Parameterization | |
Balidakis, Kyriakos1; Nilsson, Tobias1; Zus, Florian1; Glaser, Susanne1; Heinkelmann, Robert1; Deng, Zhiguo1; Schuh, Harald1,2 | |
2018-06-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2018 |
卷号 | 123期号:12页码:6356-6372 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany |
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%. |
英文关键词 | integrated water vapor homogenization mapping functions empirical meteorological model VLBI |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000439508000003 |
WOS关键词 | ATMOSPHERIC GRADIENTS ; TIME-SERIES ; DELAYS ; TERRESTRIAL ; FRAME |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/32006 |
专题 | 气候变化 |
作者单位 | 1.German Res Ctr Geosci, GFZ, Space Geodet Tech, Potsdam, Germany; 2.Tech Univ Berlin, Inst Geodesy & Geoinformat Sci, Berlin, Germany |
推荐引用方式 GB/T 7714 | Balidakis, Kyriakos,Nilsson, Tobias,Zus, Florian,et al. Estimating Integrated Water Vapor Trends From VLBI, GPS, and Numerical Weather Models: Sensitivity to Tropospheric Parameterization[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(12):6356-6372. |
APA | Balidakis, Kyriakos.,Nilsson, Tobias.,Zus, Florian.,Glaser, Susanne.,Heinkelmann, Robert.,...&Schuh, Harald.(2018).Estimating Integrated Water Vapor Trends From VLBI, GPS, and Numerical Weather Models: Sensitivity to Tropospheric Parameterization.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(12),6356-6372. |
MLA | Balidakis, Kyriakos,et al."Estimating Integrated Water Vapor Trends From VLBI, GPS, and Numerical Weather Models: Sensitivity to Tropospheric Parameterization".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.12(2018):6356-6372. |
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