2015
DOI: 10.1002/2015jd023454
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Retrieving of atmospheric parameters from multi‐GNSS in real time: Validation with water vapor radiometer and numerical weather model

Abstract: The multiconstellation Global Navigation Satellite Systems (GNSS) (e.g., GPS, GLObal NAvigation Satellite System (GLONASS), Galileo, and BeiDou) offers great opportunities for real-time retrieval of atmospheric parameters for supporting numerical weather prediction nowcasting or severe weather event monitoring. In this study, the observations from different GNSS are combined to retrieve atmospheric parameters based on the real-time precise point positioning technique. The atmospheric parameters, retrieved from… Show more

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Cited by 106 publications
(61 citation statements)
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“…The fusion of multi-GNSS constellations has developed to be one of the hot topics within the GNSS community, not only limited to precise positioning but also for related applications. For example, the multi-GNSS PPP exhibits significant advantages for GNSS meteorology applications, such as the real-time retrieval of atmospheric parameters including integrated water vapor, tropospheric delays, and horizontal gradients, in particular for the high-temporal resolution tropospheric gradients (Li et al, 2015c;Lu et al, 2016). Therefore, improving the performance of multi-GNSS precise positioning concerning both positioning accuracy and solution convergence is the main focus of our study.…”
Section: Introductionmentioning
confidence: 99%
“…The fusion of multi-GNSS constellations has developed to be one of the hot topics within the GNSS community, not only limited to precise positioning but also for related applications. For example, the multi-GNSS PPP exhibits significant advantages for GNSS meteorology applications, such as the real-time retrieval of atmospheric parameters including integrated water vapor, tropospheric delays, and horizontal gradients, in particular for the high-temporal resolution tropospheric gradients (Li et al, 2015c;Lu et al, 2016). Therefore, improving the performance of multi-GNSS precise positioning concerning both positioning accuracy and solution convergence is the main focus of our study.…”
Section: Introductionmentioning
confidence: 99%
“…Accurate knowledge of water vapor is not only vital for weather forecasting but also an important independent data source for global climate studies. For the last decade, the Global Navigation Satellite System (GNSS) has been used as an emerging and robust tool for remotely sensing integrated water vapor (IWV) for the monitoring of the real-time IWV variations in the atmosphere (Schneider et al, 2010;Rohm et al, 2014;Zhang et al, 2015;Li et al, 2014Li et al, , 2015Guerova et al, 2016) or the studies of climate (Nilsson and Elgered, 2008;Jin and Luo, 2009;Vonder Haar et al, 2012;Ning and Elgered, 2012) due to its 24 h availability, high accuracy, global coverage, high resolution and low cost. The atmospheric parameter directly estimated from GNSS measurements is the GNSS signal's tropospheric zenith total delay (ZTD) which can be effectively divided into the zenith hydrostatic delay (ZHD) and the zenith wet delay (ZWD).…”
Section: Introductionmentioning
confidence: 99%
“…They also analysed the influence of the elevation angle setting and the meteorological parameters (used for the conversion to IWV) on the comparison results. More recently, a validation of multi-GNSS slant total delays retrieved in real time from GPS, GLONASS, Galileo and BeiDou was presented by Li et al (2015a) using WVR and NWM as independent techniques for the assessment. Using multiple GNSS constellations brought a visible advantage, in terms of not only the number of available slants but also their higher accuracy and robustness.…”
mentioning
confidence: 99%