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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 ADE1. https://doi.org/10.1594/PANGAEA.862153
  2. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ADIS. https://doi.org/10.1594/PANGAEA.862154
  3. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station AIRA. https://doi.org/10.1594/PANGAEA.862155
  4. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ALBH. https://doi.org/10.1594/PANGAEA.862156
  5. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ALGO. https://doi.org/10.1594/PANGAEA.862157
  6. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ALIC. https://doi.org/10.1594/PANGAEA.862158
  7. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ALRT. https://doi.org/10.1594/PANGAEA.862159
  8. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station AMC2. https://doi.org/10.1594/PANGAEA.862160
  9. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ANKR. https://doi.org/10.1594/PANGAEA.862161
  10. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ANTC. https://doi.org/10.1594/PANGAEA.862162
  11. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station AOML. https://doi.org/10.1594/PANGAEA.862163
  12. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station AREQ. https://doi.org/10.1594/PANGAEA.862164
  13. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station AREV. https://doi.org/10.1594/PANGAEA.862165
  14. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ARTU. https://doi.org/10.1594/PANGAEA.862166
  15. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ASC1. https://doi.org/10.1594/PANGAEA.862167
  16. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ASPA. https://doi.org/10.1594/PANGAEA.862168
  17. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station AUCK. https://doi.org/10.1594/PANGAEA.862169
  18. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BADG. https://doi.org/10.1594/PANGAEA.862170
  19. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BAHR. https://doi.org/10.1594/PANGAEA.862171
  20. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BAKE. https://doi.org/10.1594/PANGAEA.862172
  21. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BAKO. https://doi.org/10.1594/PANGAEA.862173
  22. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BAN2. https://doi.org/10.1594/PANGAEA.862174
  23. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BARH. https://doi.org/10.1594/PANGAEA.862175
  24. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BDOS. https://doi.org/10.1594/PANGAEA.862176
  25. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BHR2. https://doi.org/10.1594/PANGAEA.862177
  26. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BILI. https://doi.org/10.1594/PANGAEA.862178
  27. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BJCO. https://doi.org/10.1594/PANGAEA.862179
  28. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BJFS. https://doi.org/10.1594/PANGAEA.862180
  29. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BNDY. https://doi.org/10.1594/PANGAEA.862181
  30. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BOGT. https://doi.org/10.1594/PANGAEA.862182
  31. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BOR1. https://doi.org/10.1594/PANGAEA.862183
  32. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BRAZ. https://doi.org/10.1594/PANGAEA.862184
  33. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BREW. https://doi.org/10.1594/PANGAEA.862185
  34. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BRFT. https://doi.org/10.1594/PANGAEA.862186
  35. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BRMU. https://doi.org/10.1594/PANGAEA.862187
  36. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BRUS. https://doi.org/10.1594/PANGAEA.862188
  37. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BRUX. https://doi.org/10.1594/PANGAEA.862189
  38. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BSHM. https://doi.org/10.1594/PANGAEA.862190
  39. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station BUE2. https://doi.org/10.1594/PANGAEA.862191
  40. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CAGL. https://doi.org/10.1594/PANGAEA.862192
  41. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CAGZ. https://doi.org/10.1594/PANGAEA.862193
  42. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CALL. https://doi.org/10.1594/PANGAEA.862194
  43. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CARR. https://doi.org/10.1594/PANGAEA.862195
  44. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CAS1. https://doi.org/10.1594/PANGAEA.862196
  45. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CCJM. https://doi.org/10.1594/PANGAEA.862197
  46. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CEDU. https://doi.org/10.1594/PANGAEA.862198
  47. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CFAG. https://doi.org/10.1594/PANGAEA.862199
  48. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CGGN. https://doi.org/10.1594/PANGAEA.862200
  49. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CHAN. https://doi.org/10.1594/PANGAEA.862201
  50. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CHAT. https://doi.org/10.1594/PANGAEA.862202
  51. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CHPI. https://doi.org/10.1594/PANGAEA.862203
  52. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CHTI. https://doi.org/10.1594/PANGAEA.862204
  53. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CHUM. https://doi.org/10.1594/PANGAEA.862205
  54. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CHUR. https://doi.org/10.1594/PANGAEA.862206
  55. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CIC1. https://doi.org/10.1594/PANGAEA.862207
  56. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CICE. https://doi.org/10.1594/PANGAEA.862208
  57. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CNMR. https://doi.org/10.1594/PANGAEA.862209
  58. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station COCO. https://doi.org/10.1594/PANGAEA.862210
  59. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CONZ. https://doi.org/10.1594/PANGAEA.862211
  60. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CORD. https://doi.org/10.1594/PANGAEA.862212
  61. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station COYQ. https://doi.org/10.1594/PANGAEA.862213
  62. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CPXF. https://doi.org/10.1594/PANGAEA.862214
  63. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CRAO. https://doi.org/10.1594/PANGAEA.862215
  64. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CRAR. https://doi.org/10.1594/PANGAEA.862216
  65. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CRO1. https://doi.org/10.1594/PANGAEA.862217
  66. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station CTWN. https://doi.org/10.1594/PANGAEA.862218
  67. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station DAEJ. https://doi.org/10.1594/PANGAEA.862219
  68. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station DAKA. https://doi.org/10.1594/PANGAEA.862220
  69. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station DARW. https://doi.org/10.1594/PANGAEA.862221
  70. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station DAV1. https://doi.org/10.1594/PANGAEA.862222
  71. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station DAVR. https://doi.org/10.1594/PANGAEA.862223
  72. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station DGAR. https://doi.org/10.1594/PANGAEA.862224
  73. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station DGAV. https://doi.org/10.1594/PANGAEA.862225
  74. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station DRAG. https://doi.org/10.1594/PANGAEA.862226
  75. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station DRAO. https://doi.org/10.1594/PANGAEA.862227
  76. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station DUBO. https://doi.org/10.1594/PANGAEA.862228
  77. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station DUM1. https://doi.org/10.1594/PANGAEA.862229
  78. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station EIL1. https://doi.org/10.1594/PANGAEA.862230
  79. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station EISL. https://doi.org/10.1594/PANGAEA.862231
  80. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station EPRT. https://doi.org/10.1594/PANGAEA.862232
  81. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station ETAD. https://doi.org/10.1594/PANGAEA.862233
  82. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station FAA1. https://doi.org/10.1594/PANGAEA.862234
  83. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station FAIR. https://doi.org/10.1594/PANGAEA.862235
  84. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station FAIV. https://doi.org/10.1594/PANGAEA.862236
  85. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station FALE. https://doi.org/10.1594/PANGAEA.862237
  86. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station FLIN. https://doi.org/10.1594/PANGAEA.862238
  87. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station FLRS. https://doi.org/10.1594/PANGAEA.862239
  88. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station FORT. https://doi.org/10.1594/PANGAEA.862240
  89. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GALA. https://doi.org/10.1594/PANGAEA.862241
  90. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GANP. https://doi.org/10.1594/PANGAEA.862242
  91. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GLPS. https://doi.org/10.1594/PANGAEA.862243
  92. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GLSV. https://doi.org/10.1594/PANGAEA.862244
  93. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GMAS. https://doi.org/10.1594/PANGAEA.862245
  94. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GMSD. https://doi.org/10.1594/PANGAEA.862246
  95. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GODE. https://doi.org/10.1594/PANGAEA.862247
  96. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GODZ. https://doi.org/10.1594/PANGAEA.862248
  97. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GOL2. https://doi.org/10.1594/PANGAEA.862249
  98. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GOLD. https://doi.org/10.1594/PANGAEA.862250
  99. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GOPE. https://doi.org/10.1594/PANGAEA.862251
  100. Wang, X (2016): GPS-derived precipitable water vapor content calculated for station GOUG. https://doi.org/10.1594/PANGAEA.862252

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