A Study of Near Real-time Water Vapor Analysis Using a Nationwide Dense GPS Network of Japan

In order to use the nationwide dense receiver network of the Global Positioning System (GPS) in Japan to contribute to water vapor monitoring and numerical weather prediction, a near real-time (NRT) analysis trial was performed at the Meteorological Research Institute. In this paper, the NRT analysis procedure is described along with some validation results.In view of the computational load involved in analyzing more than 1,300 GPS stations in Japan, the precise point positioning (PPP) procedure was adopted. The PPP procedure requires accurate information of GPS satellites’ positions and clock offsets. International GNSS Service (IGS) has been routinely providing ultra rapid ephemeris (IGU) that includes satellite orbits and clock offsets with latency of about 3 hours. We found the accuracy of satellite clock offsets in IGU was insufficient for the retrieval of precipitable water vapor (PWV) through the PPP procedure. Therefore, we applied correction to the IGU clock using the predicted clock offset at an IGS station “USUD”. The hydrogen maser atomic clock at USUD also had some differences with GPS time. However, we found it could be fitted and predicted by a linear equation for a period of several days.The resulting satellite clock offsets exhibited some biases toward the IGS final ephemeris, but the time constant biases of satellite clock offsets did not affect the PWV retrieval at all. The retrieved PWV data agreed well with those obtained from radio-sonde observations. The root mean square differences in summer and in winter were around 3.4 mm and 1.6 mm, respectively. The results were comparable with those obtained by preceding studies using the final ephemeris. The Retrieved spatial and temporal variation of PWV in a heavy rainfall case demonstrated the usefulness of the NRT PWV retrieval for weather monitoring. We could capture the water vapor increase that preceded torrential rain.

[1]  Yoshiaki Sato,et al.  Impact of GPS and TMI Precipitable Water Data on Mesoscale Numerical Weather Prediction Model Forecasts , 2004 .

[2]  Ryuichi Ichikawa,et al.  Tsukuba GPS Dense Net Campaign Observation: Improvement in GPS Analysis of Slant Path Delay by Stacking One-way Postfit Phase Residuals , 2004 .

[3]  T. Herring,et al.  GPS Meteorology: Remote Sensing of Atmospheric Water Vapor Using the Global Positioning System , 1992 .

[4]  J. Zumberge,et al.  Precise point positioning for the efficient and robust analysis of GPS data from large networks , 1997 .

[5]  Hajime Nakamura,et al.  Data assimilation of GPS precipitable water vapor into the JMA mesoscale numerical weather prediction model and its impact on rainfall forecasts , 2004 .

[6]  I. Shapiro,et al.  Geodesy by radio interferometry: Effects of atmospheric modeling errors on estimates of baseline length , 1985 .

[7]  Steven Businger,et al.  GPS Meteorology: Direct Estimation of the Absolute Value of Precipitable Water , 1996 .

[8]  A near real time system for tropospheric monitoring using IGS hourly data , 2000 .

[9]  Galina Dick,et al.  Near Real Time GPS Water Vapor Monitoring for Numerical Weather Prediction in Germany , 2004 .

[10]  Gunnar Elgered,et al.  Ground‐based measurement of gradients in the “wet” radio refractivity of air , 1993 .

[11]  Hajime Nakamura,et al.  Impacts of GPS-derived Water Vapor and Radial Wind Measured by Doppler Radar on Numerical Prediction of Precipitation , 2004 .

[12]  T. Sato,et al.  A Program for the Computation of Oceanic Tidal Loading Effects 'GOTIC' , 1984 .

[13]  A. Niell Global mapping functions for the atmosphere delay at radio wavelengths , 1996 .

[14]  Hajime Nakamura,et al.  The Meso-γ scale Water Vapor Distribution Associated with a Thunderstorm Calculated from a Dense Network of GPS Receivers , 2004 .

[15]  Gunnar Elgered,et al.  Geodesy by radio interferometry - Water vapor radiometry for estimation of the wet delay , 1991 .