Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Wang, Xiaoming; Zhang, Kefei; Wu, Suqin; Fan, Shijie; Cheng, Yingyan (2016): Long-term global GPS-derived precipitable water vapor data set. RMIT University, Melbourne, PANGAEA, https://doi.org/10.1594/PANGAEA.862525, Supplement to: Wang, X et al. (2016): Water vapor-weighted mean temperature and its impact on the determination of precipitable water vapor and its linear trend. Journal of Geophysical Research-Atmospheres, 121(2), 833-852, https://doi.org/10.1002/2015JD024181

Always quote above citation when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Abstract:
Water vapor-weighted mean temperature, Tm, is a vital parameter for retrieving precipitable water vapor (PWV) from the zenith wet delay (ZWD) of Global Navigation Satellite Systems (GNSS) signal propagation. In this study, the Tm at 368 GNSS stations for 2000-2012 were calculated using three methods: (1) temperature and humidity profiles from ERA-Interim, (2) the Bevis Tm-Ts relationship, and (3) the Global Pressure and Temperature 2 wet model. Tm derived from the first method was used as a reference to assess the errors of the other two methods. Comparisons show that the relative errors of the Tm derived from these two methods are in the range of 1-3% across more than 95% of all the stations. The PWVs were calculated using the aforementioned three types of Tm and the GNSS-derived ZWD at 107 stations. Again, the PWVs calculated using Tm from the first method were used as the reference of the other two PWVs. The root-mean-square errors of these two PWVs are both in the range of 0.1-0.7 mm. The second method is recommended in real-time applications, since its performance is slightly better than the third method. In addition, the linear trends of the PWV time series from the first method were also used as the reference to evaluate the trends from the other two methods. Results show that 13% and 23% of the PWV trends from the respective second and third methods have a relative error of larger than 10%. For climate change studies, the first method, if available, is always recommended.
Coverage:
Median Latitude: 17.843183 * Median Longitude: 9.950370 * South-bound Latitude: -77.848000 * West-bound Longitude: -176.617100 * North-bound Latitude: 82.494300 * East-bound Longitude: 174.834400
Date/Time Start: 1994-01-02T00:00:00 * Date/Time End: 2013-12-29T00:00:00
Size:
372 datasets

Download Data

Download ZIP file containing all datasets as tab-delimited text (use the following character encoding: )

Datasets listed in this Collection

<< PREV | 1 | 2 | 3 | 4 | NEXT >>

<< PREV | 1 | 2 | 3 | 4 | NEXT >>