Comparison of the Characteristics of Precipitable Water Vapor Measured by Global Positioning System and Microwave Radiometer

Sohn, Dong-Hyo; Park, Kwan-Dong; Won, Ji-Hye; Cho, Jungho; Roh, Kyoung-Min

doi:10.5140/jass.2012.29.1.001

Cited by 9 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The accuracy of the ground-based GNSS-PWV is approximately 1–5 mm in root mean square (RMS). Similar results on the Korean Peninsula have also been reported in several studies [ 12 , 13 , 14 ].…”

Section: Introductionsupporting

confidence: 91%

Precipitable Water Vapor Retrieval from Shipborne GNSS Observations on the Korean Research Vessel ISABU

Sohn

Choi

Park

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

We estimate precipitable water vapor (PWV) from data collected by the low-cost Global Navigation Satellite System (GNSS) receiver at a vessel. The dual-frequency GNSS receiver that the vessel ISABU is equipped with that is operated by the Korea Institute of Ocean Science and Technology. The ISABU served in the Pacific Ocean for scientific research during a period from August 30 to September 21, 2018. It also performs radiosonde observations to obtain a vertical profile of troposphere on the vessel’s path. The GNSS-derived PWV is compared to radiosonde observations and the Atmospheric Infrared Sounder (AIRS) on NASA’s Aqua satellite output. A bias and root-mean-square (RMS) error between shipborne GNSS-PWV and radiosonde-PWV were −1.48 and 5.22 mm, respectively. When compared to the ground GNSS-PWV, shipborne GNSS-PWV has a relatively large RMS error in comparison with radiosonde-PWV. However, the GNSS observations on the vessel are still in good agreement with radiosonde observations. On the other hand, the GNSS-PWV is not well linearly correlated with AIRS-PWV. The RMS error between the two observations was approximately 8.97 mm. In addition, we showed that the vessel on the sea surface has significantly larger carrier phase multipath error compared to the ground-based GNSS observations. This also can result in reducing the accuracy of shipborne GNSS-PWV. However, we suggest that the shipborne GNSS has sufficient potential to derive PWV with the kinematic precise point positioning (PPP) solution on the vessel.

show abstract

Section: Introductionsupporting

confidence: 91%

Precipitable Water Vapor Retrieval from Shipborne GNSS Observations on the Korean Research Vessel ISABU

Sohn

Choi

Park

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…In order to take account into this effect, the differences are scaled by the RS-IWV, and plotted in the bottom graphs of Fig The IWV deviation of two techniques would be induced by sensor measurement errors and/or algorithm s uncertainties, used for the IWV retrieval process. However, the magnitude of deviation in this study is slightly larger than other cases, including Van Baelen et al (2005) and Sohn et al (2012).…”

Section: Comparison Of Iwv Retrieved From Gps and Radiosonde Observatcontrasting

confidence: 83%

Retrieval and Analysis of Integrated Water Vapor from Precise GPS Data Processing at IEODO Ocean Research Station

Lee

Musa

Choi

et al. 2015

Journal of the Korean Society of Surveying, Geodesy, Photogramm

View full text Add to dashboard Cite

“…Ground-based GPS observations have high temporal resolution, long-term stability, and are independent of all weather conditions. The accuracy of estimated PWV obtained from ground-based GPS observations has been investigated in many studies [6][7][8]. Sun photometers are an important tool for atmospheric research and meteorological observations and have advantages in studying the optical and physical properties of aerosol particles.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Precipitable Water Vapor Obtained by Raman Lidar and Comprehensive Analyses with Meteorological Parameters in Xi’an

et al. 2018

View full text Add to dashboard Cite

To evaluate the potential of Raman lidar observations for measuring precipitable water vapor (PWV), PWV variations and distribution characteristics were investigated in Xi'an (34.233 • N, 108.911 • E), and its comparisons with meteorological parameters were also analysed. Comparisons of lidar PWV with radiosonde PWV verified the ability and accuracy of using Raman lidars for PWV measurements. The diurnal and monthly variation trends in PWV in different layers are first discussed via the statistical analysis of lidar data from November 2013 to July 2016; different proportions of PWV were found in different layers, and the PWV in each layer presented a slight diurnal change trend and consistent seasonal variation, which was relatively rich in summer, less so in spring and autumn, and relatively deficient in winter. Furthermore, correlation analyses between lidar PWV and meteorological parameters are explored. Water vapor pressure and surface temperature revealed the same inter-seasonal oscillation of PWV, with a correlation coefficient of~0.90. However, incomplete synchronization was found between PWV and relative humidity and precipitation parameters. Higher humidity appeared in the late summer and the beginning of autumn of each year, which was also the case for precipitation and precipitation efficiency. In addition, atmospheric water vapor density profiles and the obtained PWV by Raman lidar are discussed employing a rainfall case, and a comprehensive analysis with meteorological parameters is undertaken. The intensifying characteristics of vertical change in water vapor and the accumulation of PWV in the lower troposphere can be captured by lidar before the onset of rainfall. In contrast to the obvious diurnal change trend, such meteorological parameters as relative humidity, water vapor pressure, and dew-point temperature difference are accompanied with stable trends with a change rate of close to 0 in the rainfall processes; they also show high correlated variations with lidar PWV. Thus, with the advantage of lidar detection, investigation of water vapor profiles and PWV by Raman lidar, and the comprehensive correlation analyses with synchronic meteorological parameters can prove to be good indications of rainfall.

show abstract

Comparison of the Characteristics of Precipitable Water Vapor Measured by Global Positioning System and Microwave Radiometer

Cited by 9 publications

References 18 publications

Precipitable Water Vapor Retrieval from Shipborne GNSS Observations on the Korean Research Vessel ISABU

Precipitable Water Vapor Retrieval from Shipborne GNSS Observations on the Korean Research Vessel ISABU

Retrieval and Analysis of Integrated Water Vapor from Precise GPS Data Processing at IEODO Ocean Research Station

Investigation of Precipitable Water Vapor Obtained by Raman Lidar and Comprehensive Analyses with Meteorological Parameters in Xi’an

Contact Info

Product

Resources

About