A new voxel-based model for the determination of atmospheric weighted mean temperature in GPS atmospheric sounding

作者：He, Changyong; Wu, Suqin; Wang, Xiaoming; Hu, Andong; Wang, Qianxin; Zhang, Kefei^*

来源：Atmospheric Measurement Techniques, 2017, 10(6): 2045-2060.

DOI：10.5194/amt-10-2045-2017

• PRECIPITABLE WATER-VAPOR
• ZENITH WET DELAYS
• GLOBAL EMPIRICAL-MODEL
• SEVERE WEATHER EVENTS
• METEOROLOGY

The Global Positioning System (GPS) is a powerful atmospheric observing system for determining precipitable water vapour (PWV). In the detection of PWV using GPS, the atmospheric weighted mean temperature (T-m) is a crucial parameter for the conversion of zenith tropospheric delay (ZTD) to PWV since the quality of PWV is affected by the accuracy of T-m. In this study, an improved voxel-based T-m model, named GWMT-D, was developed using global reanalysis data over a 4-year period from 2010 to 2013 provided by the United States National Centers for Environmental Prediction (NCEP). The performance of GWMT-D was assessed against three existing empirical T-m models - GTm-III, GWMT-IV, and GTm_N - using different data sources in 2014 - the NCEP reanalysis data, surface T-m data provided by Global Geodetic Observing System and radiosonde measurements. The results show that the new GWMT-D model outperforms all the other three models with a root-mean-square error of less than 5.0 K at different altitudes over the globe. The new GWMT-D model can provide a practical alternative Tm determination

• 出版日期2017-6-7
• 单位中国矿业大学（北京）