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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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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.
Other version:
GPS-derived precipitable water vapor data sets in original format (zipped, 33 MB)
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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  1. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NKLG. https://doi.org/10.1594/PANGAEA.862353
  2. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NLIB. https://doi.org/10.1594/PANGAEA.862354
  3. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NNOR. https://doi.org/10.1594/PANGAEA.862355
  4. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NOT1. https://doi.org/10.1594/PANGAEA.862356
  5. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NOTO. https://doi.org/10.1594/PANGAEA.862357
  6. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NOUM. https://doi.org/10.1594/PANGAEA.862358
  7. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NOVM. https://doi.org/10.1594/PANGAEA.862359
  8. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NRC1. https://doi.org/10.1594/PANGAEA.862360
  9. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NRIL. https://doi.org/10.1594/PANGAEA.862361
  10. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NRMD. https://doi.org/10.1594/PANGAEA.862362
  11. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NSSP. https://doi.org/10.1594/PANGAEA.862363
  12. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NTUS. https://doi.org/10.1594/PANGAEA.862364
  13. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NURK. https://doi.org/10.1594/PANGAEA.862365
  14. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NVSK. https://doi.org/10.1594/PANGAEA.862366
  15. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NYA1. https://doi.org/10.1594/PANGAEA.862367
  16. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NYAL. https://doi.org/10.1594/PANGAEA.862368
  17. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station OHI2. https://doi.org/10.1594/PANGAEA.862369
  18. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station OHI3. https://doi.org/10.1594/PANGAEA.862370
  19. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station OHIG. https://doi.org/10.1594/PANGAEA.862371
  20. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station OHIZ. https://doi.org/10.1594/PANGAEA.862372
  21. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ONSA. https://doi.org/10.1594/PANGAEA.862373
  22. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station OS0G. https://doi.org/10.1594/PANGAEA.862374
  23. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station OSN1. https://doi.org/10.1594/PANGAEA.862375
  24. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station OUS2. https://doi.org/10.1594/PANGAEA.862376
  25. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PALM. https://doi.org/10.1594/PANGAEA.862377
  26. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PALV. https://doi.org/10.1594/PANGAEA.862378
  27. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PAMA. https://doi.org/10.1594/PANGAEA.862379
  28. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PARC. https://doi.org/10.1594/PANGAEA.862380
  29. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PARK. https://doi.org/10.1594/PANGAEA.862381
  30. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PBRI. https://doi.org/10.1594/PANGAEA.862382
  31. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PDEL. https://doi.org/10.1594/PANGAEA.862383
  32. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PENC. https://doi.org/10.1594/PANGAEA.862384
  33. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PERT. https://doi.org/10.1594/PANGAEA.862385
  34. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PETP. https://doi.org/10.1594/PANGAEA.862386
  35. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PIE1. https://doi.org/10.1594/PANGAEA.862387
  36. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PIMO. https://doi.org/10.1594/PANGAEA.862388
  37. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station POL2. https://doi.org/10.1594/PANGAEA.862389
  38. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station POLV. https://doi.org/10.1594/PANGAEA.862390
  39. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station POTS. https://doi.org/10.1594/PANGAEA.862391
  40. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station POVE. https://doi.org/10.1594/PANGAEA.862392
  41. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PRE1. https://doi.org/10.1594/PANGAEA.862393
  42. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PTAG. https://doi.org/10.1594/PANGAEA.862394
  43. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station PVEP. https://doi.org/10.1594/PANGAEA.862395
  44. Wang, X (2016): Mean values of GPS-derived precipitable water vapor content calculated for 371 weather station. https://doi.org/10.1594/PANGAEA.862524
  45. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station QAQ1. https://doi.org/10.1594/PANGAEA.862396
  46. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station QUI2. https://doi.org/10.1594/PANGAEA.862397
  47. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station QUIN. https://doi.org/10.1594/PANGAEA.862398
  48. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station RABT. https://doi.org/10.1594/PANGAEA.862399
  49. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station RAMO. https://doi.org/10.1594/PANGAEA.862400
  50. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station RBAY. https://doi.org/10.1594/PANGAEA.862401
  51. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station RCMN. https://doi.org/10.1594/PANGAEA.862402
  52. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station RECF. https://doi.org/10.1594/PANGAEA.862403
  53. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station REUN. https://doi.org/10.1594/PANGAEA.862404
  54. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station REYK. https://doi.org/10.1594/PANGAEA.862405
  55. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station REYZ. https://doi.org/10.1594/PANGAEA.862406
  56. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station RIGA. https://doi.org/10.1594/PANGAEA.862407
  57. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station RIO2. https://doi.org/10.1594/PANGAEA.862408
  58. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station RIOG. https://doi.org/10.1594/PANGAEA.862409
  59. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station RIOP. https://doi.org/10.1594/PANGAEA.862410
  60. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ROSA. https://doi.org/10.1594/PANGAEA.862411
  61. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ROTH. https://doi.org/10.1594/PANGAEA.862412
  62. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SALU. https://doi.org/10.1594/PANGAEA.862413
  63. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SANT. https://doi.org/10.1594/PANGAEA.862414
  64. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SAVO. https://doi.org/10.1594/PANGAEA.862415
  65. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SCH2. https://doi.org/10.1594/PANGAEA.862416
  66. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SCOR. https://doi.org/10.1594/PANGAEA.862417
  67. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SCUB. https://doi.org/10.1594/PANGAEA.862418
  68. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SELE. https://doi.org/10.1594/PANGAEA.862419
  69. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SEY1. https://doi.org/10.1594/PANGAEA.862420
  70. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SFER. https://doi.org/10.1594/PANGAEA.862421
  71. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SHAO. https://doi.org/10.1594/PANGAEA.862422
  72. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SIMO. https://doi.org/10.1594/PANGAEA.862423
  73. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SIO3. https://doi.org/10.1594/PANGAEA.862424
  74. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SMST. https://doi.org/10.1594/PANGAEA.862425
  75. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SOFI. https://doi.org/10.1594/PANGAEA.862426
  76. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SOL1. https://doi.org/10.1594/PANGAEA.862427
  77. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SOLA. https://doi.org/10.1594/PANGAEA.862428
  78. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SSIA. https://doi.org/10.1594/PANGAEA.862429
  79. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station STHL. https://doi.org/10.1594/PANGAEA.862430
  80. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station STJO. https://doi.org/10.1594/PANGAEA.862431
  81. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station STR1. https://doi.org/10.1594/PANGAEA.862432
  82. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station STR2. https://doi.org/10.1594/PANGAEA.862433
  83. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SUNM. https://doi.org/10.1594/PANGAEA.862434
  84. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SUTH. https://doi.org/10.1594/PANGAEA.862435
  85. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SUTM. https://doi.org/10.1594/PANGAEA.862436
  86. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SUTV. https://doi.org/10.1594/PANGAEA.862437
  87. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SUWN. https://doi.org/10.1594/PANGAEA.862438
  88. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SVTL. https://doi.org/10.1594/PANGAEA.862439
  89. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SYDN. https://doi.org/10.1594/PANGAEA.862440
  90. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station SYOG. https://doi.org/10.1594/PANGAEA.862441
  91. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TABL. https://doi.org/10.1594/PANGAEA.862442
  92. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TABV. https://doi.org/10.1594/PANGAEA.862443
  93. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TAEJ. https://doi.org/10.1594/PANGAEA.862444
  94. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TAH1. https://doi.org/10.1594/PANGAEA.862445
  95. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TAIW. https://doi.org/10.1594/PANGAEA.862446
  96. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TASH. https://doi.org/10.1594/PANGAEA.862447
  97. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station TCMS. https://doi.org/10.1594/PANGAEA.862448
  98. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station THTI. https://doi.org/10.1594/PANGAEA.862449
  99. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station THU1. https://doi.org/10.1594/PANGAEA.862450
  100. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station THU2. https://doi.org/10.1594/PANGAEA.862451

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