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License: CC BY
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https://doi.org/10.5772/28715...
Part of book or chapter of book . 2012 . Peer-reviewed
Data sources: Crossref
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GNSS Atmospheric and Ionospheric Sounding – Methods and Results

Authors: Shuanggen Jin;

GNSS Atmospheric and Ionospheric Sounding – Methods and Results

Abstract

The GPS atmospheric and ionospheric delays have been considered as an error source for a long time. In 1992 when the GPS became fully operational, Ware (1992) suggested limb sounding the Earth atmosphere using GPS atmospheric delay signals. In April 1995, the small research satellite of Microlab-1 was successfully put into a Low Earth Orbit (LEO) to validate the GPS radio occultation method (Feng and Herman, 1999). Since then, the GPS/Meteorology Mission (GPS/MET) has been widely used to produce accurate, all weather pressure, temperature, density profiles in the troposphere and the ionospheric total electron content (TEC) as well as electron density profiles (Rocken, 1997; Hajj and Romans, 1998; Syndergaard, 2000), to improve weather analysis and forecasting, monitor climate change, and monitor ionospheric events. While traditional observing instruments, e.g. water vapour radiometer (WVR), incoherent scatter radars (ISR), ionosonde, topside sounders onboard satellites, in situ rocket and satellite observations, are expensive and also partly restricted to either the bottomside ionosphere or the lower part of the topside ionosphere (usually lower than 800 km), such as ground based radar ionospheric measurements. While GPS satellites in high altitude orbits (~20,200 km) are capable of providing details on the structure of the entire atmosphere, even the plasma-sphere. Moreover, GPS is a low-cost, allweather, near real time, and high-temporal resolution (1~30s) technique. Therefore, GPS is a powerful tool to sound the atmosphere and ionosphere as well as their application in meteorology, climate and space weather.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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