Development of an improved empirical model for slant delays in the troposphere (GPT2w)
Development of an improved empirical model for slant delays in the troposphere (GPT2w)
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DOI：
10.1007/s10291-014-0403-7
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发表时间：
2015-07-01
期刊：
影响因子：
4.9
通讯作者：
Weber, Robert
中科院分区：
文献类型：
--
作者：
Boehm, Johannes;Moeller, Gregor;Weber, Robert
全球气压和温度2湿（GPT 2 w）是一个经验对流层延迟模式，提供了气压、温度及其直减率、水汽压及其下降因子、加权平均温度的平均值加上年和半年振幅，以及维也纳映射函数1的静力和湿映射函数系数。所有的气候参数都是从欧洲中期天气预报再分析中心（ERA-Interim fields）的月平均气压水平数据中得到的，水平分辨率为1A度，该模式适用于使用日期和近似站坐标作为输入，计算地表附近海拔3A度以下的倾斜静水和湿延迟。湿延迟估计建立在水蒸气压力、加权平均温度和水蒸气减少因子的网格化值上，后者被调谐到射线跟踪天顶湿延迟。与全球分布的341个全球导航卫星系统台站的天顶延迟比较表明，所有台站的平均偏差低于1毫米，平均标准差约为3.6厘米。带有网格化输入文件的GPT 2 w模型在http://ggosatm.hg.tuwien.ac.at/DELAY/SOURCE/GPT2w/上提供。
Global pressure and temperature 2 wet (GPT2w) is an empirical troposphere delay model providing the mean values plus annual and semiannual amplitudes of pressure, temperature and its lapse rate, water vapor pressure and its decrease factor, weighted mean temperature, as well as hydrostatic and wet mapping function coefficients of the Vienna mapping function 1. All climatological parameters have been derived consistently from monthly mean pressure level data of ERA-Interim fields (European Centre for Medium-Range Weather Forecasts Re-Analysis) with a horizontal resolution of 1A degrees, and the model is suitable to calculate slant hydrostatic and wet delays down to 3A degrees elevation at sites in the vicinity of the earth surface using the date and approximate station coordinates as input. The wet delay estimation builds upon gridded values of the water vapor pressure, the weighted mean temperature, and the water vapor decrease factor, with the latter being tuned to ray-traced zenith wet delays. Comparisons with zenith delays at 341 globally distributed global navigation satellite systems stations show that the mean bias over all stations is below 1 mm and the mean standard deviation is about 3.6 cm. The GPT2w model with the gridded input file is provided at http://ggosatm.hg.tuwien.ac.at/DELAY/SOURCE/GPT2w/.