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Accuracy Analysis of GPS-derived Precipitable Water Vapor According to Interpolation Methods of Meteorological Data  

Kim, Du-Sik (인하대학교 지리정보공학과)
Won, Ji-Hye (인하대학교 지리정보공학과)
Kim, Hye-In (인하대학교 지리정보공학과)
Kim, Kyeong-Hui (인하대학교 지리정보공학과)
Park, Kwan-Dong (인하대학교 지리정보공학과)
Publication Information
Spatial Information Research / v.18, no.4, 2010 , pp. 33-41 More about this Journal
Abstract
Approximately 100 permanent GPS stations are currently operational in Korea. However, only 10 sites have their own weather sensors connected directly to the GPS receiver. Thus. calculation of meteorological data through interpolation of AWS data are needed to determine precipitable water vapors at a specific GPS station without a meteorological sensor. This study analyzed the accuracy of two meteorological data interpolation methods called reverse sea level correction and kriging. As a result, the root-mean square-error of reverse sea level correction were seven times more accurate in pressure and twice more accurate in temperature than the kriging method. For the analysis of PWV accuracy, we calculated GPS PWV during the summer season in :2008 by using GPS observation data and interpolated meteorological data by reverse sea level correction. And, we compared GPS PWV s based on interpolated meteorological data with those from radiosonde observations and GPS PWV s based on onsite GPS meteorological sensor measurements. As a result, the accuracy of GPS PWV s from our interpolated meteorological data was within the required operational accuracy of 3mm.
Keywords
Precipitable Water Vapor; Reverse Sea Level Correction; Kriging; GPS;
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Times Cited By KSCI : 2  (Citation Analysis)
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