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Estimating zenith tropospheric delays from BeiDou navigation satellite system observations.

Xu A, Xu Z, Ge M, Xu X, Zhu H, Sui X - Sensors (Basel) (2013)

Bottom Line: The precise orbits and clocks are generated from a tracking network with most of the stations in China and several stations around the world.The derived ZTDs are compared with that estimated from GPS data using the final products of the International GNSS Service (IGS).The comparison shows that the bias and the standard deviation of the ZTD differences are about 2 mm and 5 mm, respectively, which are very close to the differences of GPS ZTD estimated using different software packages.

View Article: PubMed Central - PubMed

Affiliation: School of Geomatics, Liaoning Technical University, Fuxin 123000, China. xu_ag@126.com

ABSTRACT
The GNSS derived Zenith Tropospheric Delay (ZTD) plays today a very critical role in meteorological study and weather forecasts, as ZTDs of thousands of GNSS stations are operationally assimilated into numerical weather prediction models. Recently, the Chinese BeiDou Navigation Satellite System (BDS) was officially announced to provide operational services around China and its neighborhood and it was demonstrated to be very promising for precise navigation and positioning. In this contribution, we concentrate on estimating ZTD using BDS observations to assess its capacity for troposphere remote sensing. A local network which is about 250 km from Beijing and comprised of six stations equipped with GPS- and BDS-capable receivers is utilized. Data from 5 to 8 November 2012 collected on the network is processed in network mode using precise orbits and in Precise Point Positioning mode using precise orbits and clocks. The precise orbits and clocks are generated from a tracking network with most of the stations in China and several stations around the world. The derived ZTDs are compared with that estimated from GPS data using the final products of the International GNSS Service (IGS). The comparison shows that the bias and the standard deviation of the ZTD differences are about 2 mm and 5 mm, respectively, which are very close to the differences of GPS ZTD estimated using different software packages.

No MeSH data available.


Related in: MedlinePlus

RMS of the ionosphere-free range observations of the four processing scenarios. Both PPP and network solutions have similar range RMS. BDS range RMS is twice as large as that of GPS.
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f5-sensors-13-04514: RMS of the ionosphere-free range observations of the four processing scenarios. Both PPP and network solutions have similar range RMS. BDS range RMS is twice as large as that of GPS.

Mentions: Figure 5 shows the RMS of the ionosphere-free range observations. If receivers of the same type are used, the Differential Code Bias (DCB) is not a problem for the network solution because it can be absorbed by clock parameters. DCB will not affect the observation RMS of PPP solution, if the precise orbits and clocks used are estimated from data of the same receiver type. Therefore, DCB correction is only necessary for GPSPPP solution using IGS final products.


Estimating zenith tropospheric delays from BeiDou navigation satellite system observations.

Xu A, Xu Z, Ge M, Xu X, Zhu H, Sui X - Sensors (Basel) (2013)

RMS of the ionosphere-free range observations of the four processing scenarios. Both PPP and network solutions have similar range RMS. BDS range RMS is twice as large as that of GPS.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3673097&req=5

f5-sensors-13-04514: RMS of the ionosphere-free range observations of the four processing scenarios. Both PPP and network solutions have similar range RMS. BDS range RMS is twice as large as that of GPS.
Mentions: Figure 5 shows the RMS of the ionosphere-free range observations. If receivers of the same type are used, the Differential Code Bias (DCB) is not a problem for the network solution because it can be absorbed by clock parameters. DCB will not affect the observation RMS of PPP solution, if the precise orbits and clocks used are estimated from data of the same receiver type. Therefore, DCB correction is only necessary for GPSPPP solution using IGS final products.

Bottom Line: The precise orbits and clocks are generated from a tracking network with most of the stations in China and several stations around the world.The derived ZTDs are compared with that estimated from GPS data using the final products of the International GNSS Service (IGS).The comparison shows that the bias and the standard deviation of the ZTD differences are about 2 mm and 5 mm, respectively, which are very close to the differences of GPS ZTD estimated using different software packages.

View Article: PubMed Central - PubMed

Affiliation: School of Geomatics, Liaoning Technical University, Fuxin 123000, China. xu_ag@126.com

ABSTRACT
The GNSS derived Zenith Tropospheric Delay (ZTD) plays today a very critical role in meteorological study and weather forecasts, as ZTDs of thousands of GNSS stations are operationally assimilated into numerical weather prediction models. Recently, the Chinese BeiDou Navigation Satellite System (BDS) was officially announced to provide operational services around China and its neighborhood and it was demonstrated to be very promising for precise navigation and positioning. In this contribution, we concentrate on estimating ZTD using BDS observations to assess its capacity for troposphere remote sensing. A local network which is about 250 km from Beijing and comprised of six stations equipped with GPS- and BDS-capable receivers is utilized. Data from 5 to 8 November 2012 collected on the network is processed in network mode using precise orbits and in Precise Point Positioning mode using precise orbits and clocks. The precise orbits and clocks are generated from a tracking network with most of the stations in China and several stations around the world. The derived ZTDs are compared with that estimated from GPS data using the final products of the International GNSS Service (IGS). The comparison shows that the bias and the standard deviation of the ZTD differences are about 2 mm and 5 mm, respectively, which are very close to the differences of GPS ZTD estimated using different software packages.

No MeSH data available.


Related in: MedlinePlus