Applicability of methods for estimating GPS precipitable water in the Qinghai-Tibet Plateau
Applicability of methods for estimating GPS precipitable water in the Qinghai-Tibet Plateau
复制标题
GPS可降水量估算方法在青藏高原的适用性
DOI:
10.1016/j.jastp.2012.08.008
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发表时间:
2012-11
影响因子:
1.9
通讯作者:
Guangliu Feng
中科院分区:
文献类型:
--
作者:
Anwei Lai;Xia Wan;Zhikang Fu;Guangliu Feng
Atmospheric weighted mean temperature (Tm) and zenith hydrostatic delay (ZHD) are key parameters in determining the accuracy of GPS precipitable water (PW) estimations. Using radiosonde profiles with a high vertical resolution of 10–30m, we calculated Tm, ZHD and PW and investigated the applicability of the modeled Tmand ZHD, including the GPS PW obtained with them, in the Qinghai-Tibet Plateau (QTP). It is found that (1) the bias and RMS error of the Bevis Tmmodel in the QTP are less than 5% and 2%, respectively, with a diurnal variation that is small in the morning and large otherwise. (2) The ZHD models have an RMS error within 1% in the QTP, which is smaller than that in the plain of Central China, which is within 1.5%. The ZHD bias of the Saastamoinen model is less than 0.5% in the QTP, smaller than those of the Hopfield and Black models. The diurnal variations of the modeled ZHD bias and RMS error are complex in the QTP, varying with the ZHD model and station. (3) The relative RMS error of GPS PW increases with the station altitude, with a range of 12–66% in the QTP and within 8% in the plain of Central China. The diurnal variations of the GPS PW bias and RMS error in the QTP are similar to those of the modeled ZHD. (4) The accuracy of GPS PW is mainly affected by the ZHD model, and a good Tmcan improve the accuracy of GPS PW in the QTP.
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DOI:
--
发表时间:
2009
期刊:
Torrential Rain and Disasters
影响因子:
--
作者:
Feng Guang-liu
通讯作者:
Feng Guang-liu
影响因子:
--
作者:
通讯作者:
--
DOI:
10.1175/1520-0450(1994)033
发表时间:
1994-04
期刊:
Journal of Applied Meteorology
影响因子:
--
作者:
Julxo C. Calvo;J. Gregory
通讯作者:
Julxo C. Calvo;J. Gregory
影响因子:
--
作者:
BLACK, HD
通讯作者:
BLACK, HD
DOI:
--
发表时间:
2000
期刊:
--
影响因子:
--
作者:
Liu Yan
通讯作者:
Liu Yan