Wang, Xiaoming; Zhang, Kefei; Wu, Suqin; Fan, Shijie; Cheng, Yingyan (2016): Long-term global GPS-derived precipitable water vapor data set [dataset publication series]. 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
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Published: 2016-07-01 • DOI registered: 2016-07-01
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
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
372 datasets
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Datasets listed in this publication series
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- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station THU3. https://doi.org/10.1594/PANGAEA.862452
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TID1. https://doi.org/10.1594/PANGAEA.862453
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TIDB. https://doi.org/10.1594/PANGAEA.862454
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TITZ. https://doi.org/10.1594/PANGAEA.862455
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TIXG. https://doi.org/10.1594/PANGAEA.862456
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TIXI. https://doi.org/10.1594/PANGAEA.862457
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TIXJ. https://doi.org/10.1594/PANGAEA.862458
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TLSE. https://doi.org/10.1594/PANGAEA.862459
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TN22. https://doi.org/10.1594/PANGAEA.862460
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TNML. https://doi.org/10.1594/PANGAEA.862461
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TOUL. https://doi.org/10.1594/PANGAEA.862462
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TOW2. https://doi.org/10.1594/PANGAEA.862463
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TRAB. https://doi.org/10.1594/PANGAEA.862464
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TRO1. https://doi.org/10.1594/PANGAEA.862465
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TROM. https://doi.org/10.1594/PANGAEA.862466
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TSEA. https://doi.org/10.1594/PANGAEA.862467
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TSKB. https://doi.org/10.1594/PANGAEA.862468
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TWTF. https://doi.org/10.1594/PANGAEA.862469
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TXES. https://doi.org/10.1594/PANGAEA.862470
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station UFPR. https://doi.org/10.1594/PANGAEA.862471
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ULAB. https://doi.org/10.1594/PANGAEA.862472
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station UNBJ. https://doi.org/10.1594/PANGAEA.862473
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station UNSA. https://doi.org/10.1594/PANGAEA.862474
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station URUM. https://doi.org/10.1594/PANGAEA.862475
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station USN3. https://doi.org/10.1594/PANGAEA.862476
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station USNA. https://doi.org/10.1594/PANGAEA.862477
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station USNO. https://doi.org/10.1594/PANGAEA.862478
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station USUD. https://doi.org/10.1594/PANGAEA.862479
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station VACO. https://doi.org/10.1594/PANGAEA.862480
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station VALD. https://doi.org/10.1594/PANGAEA.862481
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station VENE. https://doi.org/10.1594/PANGAEA.862482
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station VESL. https://doi.org/10.1594/PANGAEA.862483
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station VIL0. https://doi.org/10.1594/PANGAEA.862484
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station VILL. https://doi.org/10.1594/PANGAEA.862485
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station VIS0. https://doi.org/10.1594/PANGAEA.862486
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station VTSP. https://doi.org/10.1594/PANGAEA.862487
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WDC1. https://doi.org/10.1594/PANGAEA.862488
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WDC3. https://doi.org/10.1594/PANGAEA.862489
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WEL1. https://doi.org/10.1594/PANGAEA.862490
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WES2. https://doi.org/10.1594/PANGAEA.862491
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WETT. https://doi.org/10.1594/PANGAEA.862492
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WGTN. https://doi.org/10.1594/PANGAEA.862493
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WHIT. https://doi.org/10.1594/PANGAEA.862494
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WILL. https://doi.org/10.1594/PANGAEA.862495
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WIND. https://doi.org/10.1594/PANGAEA.862496
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WROC. https://doi.org/10.1594/PANGAEA.862497
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WSRT. https://doi.org/10.1594/PANGAEA.862498
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WTZA. https://doi.org/10.1594/PANGAEA.862499
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WTZR. https://doi.org/10.1594/PANGAEA.862500
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WTZZ. https://doi.org/10.1594/PANGAEA.862501
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station WUHN. https://doi.org/10.1594/PANGAEA.862502
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station XIAN. https://doi.org/10.1594/PANGAEA.862503
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station XMIS. https://doi.org/10.1594/PANGAEA.862504
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station YAKT. https://doi.org/10.1594/PANGAEA.862505
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station YAKZ. https://doi.org/10.1594/PANGAEA.862506
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station YAR1. https://doi.org/10.1594/PANGAEA.862507
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station YAR2. https://doi.org/10.1594/PANGAEA.862508
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station YAR3. https://doi.org/10.1594/PANGAEA.862509
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station YARR. https://doi.org/10.1594/PANGAEA.862510
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station YCBA. https://doi.org/10.1594/PANGAEA.862511
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station YEBE. https://doi.org/10.1594/PANGAEA.862512
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station YELL. https://doi.org/10.1594/PANGAEA.862513
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station YIBL. https://doi.org/10.1594/PANGAEA.862514
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station YKRO. https://doi.org/10.1594/PANGAEA.862515
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station YSSK. https://doi.org/10.1594/PANGAEA.862516
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ZAMB. https://doi.org/10.1594/PANGAEA.862517
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ZECK. https://doi.org/10.1594/PANGAEA.862518
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ZIM2. https://doi.org/10.1594/PANGAEA.862519
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ZIMJ. https://doi.org/10.1594/PANGAEA.862520
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ZIMM. https://doi.org/10.1594/PANGAEA.862521
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ZWE2. https://doi.org/10.1594/PANGAEA.862522
- Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ZWEN. https://doi.org/10.1594/PANGAEA.862523
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