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Constructing a precipitable water vapor map from regional GNSS network observations without collocated meteorological data for weather forecasting

机译:在没有并置气象数据的情况下从区域GNSS网络观测构建可降水量的水汽图

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Surface pressure (Psubs/sub) and weighted mean temperature (Tsubm/sub) are two necessary variables for the accurate retrieval of precipitable water vapor (PWV) from Global Navigation Satellite System (GNSS) zenith total delay (ZTD) estimates. The lack of Psubs/sub or Tsubm/sub information is a concern for those GNSS sites that are not collocated with meteorological sensors. This paper investigates an alternative method of inferring accurate Psubs/sub and Tsubm/sub at the GNSS station using nearby synoptic observations. Psubs/sub and Tsubm/sub obtained at the nearby synoptic sites are interpolated onto the location of the GNSS station by performing both vertical and horizontal adjustments, in which the parameters involved in Psubs/sub and Tsubm/sub calculation are estimated from ERA-Interim reanalysis profiles. In addition, we present a method of constructing high-quality PWV maps through vertical reduction and horizontal interpolation of the retrieved GNSS PWVs. To evaluate the performances of the Psubs/sub and Tsubm/sub retrieval, and the PWV map construction, GNSS data collected from 58 stations of the Hunan GNSS network and synoptic observations from 20 nearby sites in 2015 were processed to extract the PWV so as to subsequently generate the PWV maps. The retrieved Psubs/sub and Tsubm/sub and constructed PWV maps were assessed by the results derived from radiosonde and the ERA-Interim reanalysis. The results show that (1)?accuracies of Psubs/sub and Tsubm/sub derived by synoptic interpolation are within the range of 1.7–3.0 hPa and 2.5–3.0 K, respectively, which are much better than the GPT2w model; (2)?the constructed PWV maps have good agreements with radiosonde and ERA-Interim reanalysis data with the overall accuracy being better than 3 mm; and (3)?PWV maps can well reveal the moisture advection, transportation and convergence during heavy rainfall.
机译:表面压力(P s )和加权平均温度(T m )是从全球导航卫星系统(GNSS)准确获取可沉淀水汽(PWV)的两个必要变量)天顶总延迟(ZTD)估算值。对于那些未与气象传感器并置的GNSS站点,缺少P s 或T m 信息是一个问题。本文研究了使用附近天气观测来推断GNSS站上准确的P s 和T m 的另一种方法。通过执行垂直和水平调整将在附近天气站点获得的P s 和T m 内插到GNSS站的位置,其中P < sub> s 和T m 计算是根据ERA-Interim重新分析配置文件估算的。此外,我们提出了一种通过对检索到的GNSS PWV进行垂直缩小和水平插值来构建高质量PWV映射的方法。为了评估P s 和T m 检索的性能以及PWV地图的构造,从湖南GNSS网络的58个站点收集的GNSS数据以及附近20个站点的天气观测处理2015年的站点以提取PWV,以便随后生成PWV地图。通过无线电探空仪和ERA-Interim重新分析得出的结果对检索到的P s 和T m 以及构造的PWV图进行评估。结果表明,(1)通过天气插值得到的P s 和T m 的精度分别在1.7–3.0 hPa和2.5–3.0 K的范围内,比GPT2w模型好得多; (2)构造的PWV图与探空仪和ERA-Interim再分析数据具有​​良好的一致性,总体精度优于3 mm; (3)PWV图可以很好地揭示暴雨期间的水分对流,运输和收敛。

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