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http://dx.doi.org/10.7780/kjrs.2016.32.3.6

Analysis on Characteristics of Radiosonde Sensors Bias Using Precipitable Water Vapor from Sokcho Global Navigation Satellite System Observatory  

Park, Chang-Geun (High-impact Weather Research Center, Observation Research Division, National Institute of Meteorological Sciences)
Cho, Jungho (Space Geodesy Group, Space Science Division, Korea Astronomy and Space Science Institute)
Shim, Jae-Kwan (High-impact Weather Research Center, Observation Research Division, National Institute of Meteorological Sciences)
Choi, Byoung-Choel (High-impact Weather Research Center, Observation Research Division, National Institute of Meteorological Sciences)
Publication Information
Korean Journal of Remote Sensing / v.32, no.3, 2016 , pp. 263-274 More about this Journal
Abstract
In this study, we compared the Precipitable Water Vapor (PWV) data derived from the radiosonde observation at Sokcho observatory and the PWV data at Sokcho Global Navigation Satellite System (GNSS) observatory provided by Korea Astronomy and Space Science Institute, for the summer of 2007~2014, and analyzed the radiosonde diurnal and rainfall-dependent bias according to radiosonde sensor types. In the scatter diagram of the daytime and nighttime radiosonde PWV data and GNSS PWV data, dry bias was found in the daytime radiosonde observation as known in the previous study and dry bias of RSG-20A sensor was larger than other sensors. Overall, the tendency that the wet bias of the radiosonde PWV increased as GNSS PWV decreased and the dry bias of the radiosonde PWV increased as GNSS PWV increased. The quantitative analysis of the bias and error of the radiosonde PWV data showed that the mean bias decreased in the nighttime except for 2007, 2008 summer. In comparison for summer according to the presence or absence of rainfall, RS92-SGP sensor showed the highest quality.
Keywords
GNSS; precipitable water vapor; radiosonde; bias;
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Times Cited By KSCI : 6  (Citation Analysis)
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