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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 GRAS. https://doi.org/10.1594/PANGAEA.862253
  2. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GRAZ. https://doi.org/10.1594/PANGAEA.862254
  3. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GUAM. https://doi.org/10.1594/PANGAEA.862255
  4. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GUAO. https://doi.org/10.1594/PANGAEA.862256
  5. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GUAT. https://doi.org/10.1594/PANGAEA.862257
  6. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GUUG. https://doi.org/10.1594/PANGAEA.862258
  7. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HARB. https://doi.org/10.1594/PANGAEA.862259
  8. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HARK. https://doi.org/10.1594/PANGAEA.862260
  9. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HART. https://doi.org/10.1594/PANGAEA.862261
  10. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HERS. https://doi.org/10.1594/PANGAEA.862262
  11. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HERT. https://doi.org/10.1594/PANGAEA.862263
  12. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HLFX. https://doi.org/10.1594/PANGAEA.862264
  13. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HNLC. https://doi.org/10.1594/PANGAEA.862265
  14. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HNPT. https://doi.org/10.1594/PANGAEA.862266
  15. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HOB1. https://doi.org/10.1594/PANGAEA.862267
  16. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HOB2. https://doi.org/10.1594/PANGAEA.862268
  17. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HOFN. https://doi.org/10.1594/PANGAEA.862269
  18. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HOLB. https://doi.org/10.1594/PANGAEA.862270
  19. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HOLM. https://doi.org/10.1594/PANGAEA.862271
  20. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HRAO. https://doi.org/10.1594/PANGAEA.862272
  21. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HRM1. https://doi.org/10.1594/PANGAEA.862273
  22. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station HYDE. https://doi.org/10.1594/PANGAEA.862274
  23. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station IDDR. https://doi.org/10.1594/PANGAEA.862275
  24. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station IISC. https://doi.org/10.1594/PANGAEA.862276
  25. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ILHA. https://doi.org/10.1594/PANGAEA.862277
  26. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station IMPZ. https://doi.org/10.1594/PANGAEA.862278
  27. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station INEG. https://doi.org/10.1594/PANGAEA.862279
  28. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station INVK. https://doi.org/10.1594/PANGAEA.862280
  29. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station IQAL. https://doi.org/10.1594/PANGAEA.862281
  30. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station IQUI. https://doi.org/10.1594/PANGAEA.862282
  31. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station IRKJ. https://doi.org/10.1594/PANGAEA.862283
  32. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station IRKT. https://doi.org/10.1594/PANGAEA.862284
  33. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ISBA. https://doi.org/10.1594/PANGAEA.862285
  34. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ISPA. https://doi.org/10.1594/PANGAEA.862286
  35. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station JAB1. https://doi.org/10.1594/PANGAEA.862287
  36. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station JOZ2. https://doi.org/10.1594/PANGAEA.862288
  37. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station JOZE. https://doi.org/10.1594/PANGAEA.862289
  38. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station JPLM. https://doi.org/10.1594/PANGAEA.862290
  39. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station JPLV. https://doi.org/10.1594/PANGAEA.862291
  40. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KARR. https://doi.org/10.1594/PANGAEA.862292
  41. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KAT1. https://doi.org/10.1594/PANGAEA.862293
  42. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KELY. https://doi.org/10.1594/PANGAEA.862294
  43. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KERG. https://doi.org/10.1594/PANGAEA.862295
  44. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KGNI. https://doi.org/10.1594/PANGAEA.862296
  45. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KHAJ. https://doi.org/10.1594/PANGAEA.862297
  46. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KHAR. https://doi.org/10.1594/PANGAEA.862298
  47. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KIR0. https://doi.org/10.1594/PANGAEA.862299
  48. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KIRU. https://doi.org/10.1594/PANGAEA.862300
  49. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KIT3. https://doi.org/10.1594/PANGAEA.862301
  50. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KOKB. https://doi.org/10.1594/PANGAEA.862302
  51. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KOKV. https://doi.org/10.1594/PANGAEA.862303
  52. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KOSG. https://doi.org/10.1594/PANGAEA.862304
  53. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KOU1. https://doi.org/10.1594/PANGAEA.862305
  54. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KOUC. https://doi.org/10.1594/PANGAEA.862306
  55. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KOUR. https://doi.org/10.1594/PANGAEA.862307
  56. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KSMV. https://doi.org/10.1594/PANGAEA.862308
  57. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KSTU. https://doi.org/10.1594/PANGAEA.862309
  58. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KUNM. https://doi.org/10.1594/PANGAEA.862310
  59. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station KWJ1. https://doi.org/10.1594/PANGAEA.862311
  60. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station LAE1. https://doi.org/10.1594/PANGAEA.862312
  61. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station LAMA. https://doi.org/10.1594/PANGAEA.862313
  62. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station LHAS. https://doi.org/10.1594/PANGAEA.862314
  63. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station LHAZ. https://doi.org/10.1594/PANGAEA.862315
  64. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station LMMF. https://doi.org/10.1594/PANGAEA.862316
  65. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station LPAL. https://doi.org/10.1594/PANGAEA.862317
  66. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station LPGS. https://doi.org/10.1594/PANGAEA.862318
  67. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MAC1. https://doi.org/10.1594/PANGAEA.862319
  68. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MAD2. https://doi.org/10.1594/PANGAEA.862320
  69. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MADR. https://doi.org/10.1594/PANGAEA.862321
  70. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MAG0. https://doi.org/10.1594/PANGAEA.862322
  71. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MAL2. https://doi.org/10.1594/PANGAEA.862323
  72. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MALD. https://doi.org/10.1594/PANGAEA.862324
  73. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MALI. https://doi.org/10.1594/PANGAEA.862325
  74. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MANA. https://doi.org/10.1594/PANGAEA.862326
  75. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MAS1. https://doi.org/10.1594/PANGAEA.862327
  76. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MASP. https://doi.org/10.1594/PANGAEA.862328
  77. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MAT1. https://doi.org/10.1594/PANGAEA.862329
  78. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MATE. https://doi.org/10.1594/PANGAEA.862330
  79. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MAUI. https://doi.org/10.1594/PANGAEA.862331
  80. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MAW1. https://doi.org/10.1594/PANGAEA.862332
  81. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MBAR. https://doi.org/10.1594/PANGAEA.862333
  82. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MCIL. https://doi.org/10.1594/PANGAEA.862334
  83. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MCM4. https://doi.org/10.1594/PANGAEA.862335
  84. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MDO1. https://doi.org/10.1594/PANGAEA.862336
  85. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MDVJ. https://doi.org/10.1594/PANGAEA.862337
  86. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MDVO. https://doi.org/10.1594/PANGAEA.862338
  87. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MEDI. https://doi.org/10.1594/PANGAEA.862339
  88. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station METS. https://doi.org/10.1594/PANGAEA.862340
  89. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station METZ. https://doi.org/10.1594/PANGAEA.862341
  90. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MIZU. https://doi.org/10.1594/PANGAEA.862342
  91. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MKEA. https://doi.org/10.1594/PANGAEA.862343
  92. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MOBJ. https://doi.org/10.1594/PANGAEA.862344
  93. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MOBS. https://doi.org/10.1594/PANGAEA.862345
  94. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MONP. https://doi.org/10.1594/PANGAEA.862346
  95. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MQZG. https://doi.org/10.1594/PANGAEA.862347
  96. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MSKU. https://doi.org/10.1594/PANGAEA.862348
  97. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station MTKA. https://doi.org/10.1594/PANGAEA.862349
  98. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NAIN. https://doi.org/10.1594/PANGAEA.862350
  99. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NANO. https://doi.org/10.1594/PANGAEA.862351
  100. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station NICO. https://doi.org/10.1594/PANGAEA.862352

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