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ژئوفیزیک ایران، جلد ۱۹، شماره ۳، صفحات ۱۱۹-۱۳۶
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عنوان انگلیسی Performance of pressure-temperature models and reanalysis products for estimating GPS precipitable water vapor
چکیده انگلیسی مقاله GPS meteorology has been regarded as one of the most advanced techniques for estimating Precipitable Water Vapor (PWV) over the past two decades. To calculate PWV from estimated tropospheric delay values, surface pressure and temperature data are needed, while many GPS stations lack meteorological sensors. This study presents a comprehensive evaluation of the performance of different sources of surface pressure and temperature data for estimating GPS PWV in Iran. To do this, real observations were compared with the ERA5L reanalysis data, and the global empirical models GPT2w and GPT3 at six GPS stations across Iran over one year. In addition to assessing the statistical quality of these data sources, their impact on the accuracy of GPS PWV estimation was investigated. While reanalysis data generally shows higher correlation with real observations, the experimental models (GPT2w and GPT3) often lead to comparable or better PWV estimates, particularly in stations where ERA5L pressure data shows significant bias. The results showed that by replacing the temperature and surface pressure data obtained from the GPT2w/GPT3 models with the actual observed values, the maximum increase in the RMSE of the GPSPWV values compared to the radiosonde PWV is less than 0.3 mm. The findings of this research show the potential of using global empirical models as alternatives to real observations for GPS stations lacking meteorological sensors in Iran, providing valuable insights for improving GPS meteorology techniques in the region.  
کلیدواژه‌های انگلیسی مقاله Surface pressure-temperature,GPS PWV,GPT2w,GPT3,ERA5
نویسندگان مقاله Ali Sam Khaniani |
Assistant Professor, Babol Noshirvani University of Technology, Babol, Iran

نشانی اینترنتی https://www.ijgeophysics.ir/article_203159_9327c39385bc7c93e1759b8d65fb5e4f.pdf
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