Experiment on driving precipitable water vapor from ground-based GPS network in Chengdu Plain

Abstract

The estimates of total zenith delay are derived using Bernese GPS Software V4. 2 based on GPS data every 30 s from the first measurement experiment of a ground-based GPS network in Chengdu Plain of Southwest China during the period from July to September 2004. Then the estimates of 0.5 hourly precipitable water vapor (PWV) derived from global positioning system (GPS) are obtained using meteorological data from automatic weather stations (AWS). The comparison of PWV derived from GPS and those from radiosonde observations is given for the Chengdu station, with RMS (root mean square) differences of 3.09m. The consistency of precipitable water vapor derived from GPS to those from radiosonde is good. It is concluded that Bevis' empirical formula for estimating the weighted atmospheric mean temperature can be applicable in Chengdu area because the relationship of GPS PWV with Bevis' formula and GPS PWV with radiosonde method shows a high correlation. The result of this GPS measurement experiment is helpful both for accumulating the study of precipitable water vapor derived from GPS in Chengdu areas located at the eastern side of the Tibetan Plateau and for studying spatial-temporal variations of regional atmospheric water vapor through many disciplines cooperatively.

Atmospheric Water Monitoring by Using Ground-Based GPS during Heavy Rains Produced by TPV and SWV

“…Software developed by Meteorological Information Comprehensive Analysis and Process System-China Meteorological Administration (MICAPS-CMA) has been applied to weather forecasting and determination of GPS water, real-time transmission of ground-based GPS observation data, data calculation, resolution of precipitable water, and the graphic display of GPS-PW products. The monitoring of GPS water and its products in weather analysis and forecasting was first conducted by Li et al [15]. the 500 hPa height field (figure not shown).…”

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

“…For the experimental missions, DFM-09 radiosondes were flown into sky to profile those -the pressure, temperature, humidity, wind speed and direction in atmosphere at one second interval (e.g., see http://www.graw.de in more details). Using the RS measurements in temperature, humidity, pressure and dewpoint temperature, the IWV can be computed by using the trapezoidal method as below (Li, et al, 2006): and 2012 are not included in these graphs due to previously mentioned reason. Although 42% of the GPS measurements is available for six years, a seasonal variation from the estimated ZTD can be seen from the graphs.…”

Modelling of weighted-mean temperature using regional radiosonde observations in Hunan China

“…The trend and dynamics of variation in water vapour have strong influence on climate and weather forecasting (Li et al 2012;Guerova et al 2016). However, due to its fast formation and development, it is not easy to trace the variation trend and distribution of water vapour on small and medium scale weather systems timely and accurately (Li et al 2007;Yu and Liu 2009;Wang et al 2011), especially for the detection and prediction of rainstorms (Bennitt and Jupp 2012;De Haan 2013;Shi et al 2015). The challenge is that atmospheric variables observed from traditional meteorological sensors most have low temporal and spatial resolutions, e.g., radiosonde balloons are usually launched twice a day, thus tracing water vapour at a high resolution based on the traditional meteorological data is difficult (Bevis et al 1994;Guerova et al 2016).…”