GNSS processing at CODE: status report

Dach, Rolf; Bröckmann, E.; Schaer, Stefan; Beutler, Gerhard; Meindl, Michael; Prange, Lars; Bock, Heike; Jäggi, Adrian; Ostini, Luca

doi:10.1007/s00190-008-0281-2

Cited by 252 publications

(145 citation statements)

References 6 publications

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“…However, the PPP module of the original BNC software has limitations and has only been developed for demonstration, which means that some of the errors mentioned previously are not considered. Our extensive testing revealed that to improve the performance of troposphere monitoring, the following modifications have to be coded: (1) ocean tide loading which significantly affects ZTD [Dragert et al, 2000]; here we adopt the station-specific loading coefficients by online service (by M. S. Bos and H.-G. Scherneck, available at http://holt.oso.chalmers.se/ loading/index.html); (2) absolute antenna phase center offsets and variations of satellites and receivers [Kouba and Heroux, 2001;Dach et al, 2007;Schmid et al, 2007]; and (3) the modeling of tropospheric delays which is introduced in detail in section 2.3. In addition, the Kalman filtering for epoch-by-epoch processing is adopted.…”

Section: Bnc Softwarementioning

confidence: 99%

“…The tropospheric delay T r is usually modeled as a sum of hydrostatic and nonhydrostatic (wet) parts in precise GPS data processing [Dach et al, 2007]:…”

Section: Modeling Of Tropospheric Delaysmentioning

confidence: 99%

“…The ZTD products used in this study are obtained from CODE and USNO, as both data sets are released to the public. The CODE products are estimated by Bernese software [Dach et al, 2007], with an interval of 2 h for more than 200 globally distributed GPS stations. GPT [Boehm et al, 2007] and GMF are used for the modeling of tropospheric delays [Dach et al, 2009;Teke et al, 2011].…”

Section: Igs Ztdsmentioning

confidence: 99%

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Real‐time retrieval of precipitable water vapor from GPS precise point positioning

et al. 2014

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Sensing of precipitable water vapor (PWV) using the Global Positioning System (GPS) has been intensively investigated in the past 2 decades. However, it still remains a challenging task at a high temporal resolution and in the real-time mode. In this study the accuracy of real-time zenith total delay (ZTD) and PWV using the GPS precise point positioning (PPP) technique is investigated. GPS observations in a 1 month period from 20 globally distributed stations are selected for testing. The derived real-time ZTDs at most stations agree well with the tropospheric products from the International Global Navigation Satellite Systems Service, and the root-mean-square errors (RMSEs) are <13 mm, which meet the threshold value of 15 mm if ZTDs are input to numerical weather prediction models. The RMSE of the retrieved PWVs in comparison with the radiosonde-derived values are ≤3 mm, which is the threshold RMSE of PWVs as inputs to weather nowcasting. The theoretical accuracy of PWVs is also discussed, and 3 mm quality of PWVs is proved achievable in different temperature and humidity conditions. This implies that the real-time GPS PPP technique can be complementary to current atmospheric sounding systems, especially for nowcasting of extreme weather due to its real-time, all-day, and all-weather capabilities and high temporal resolutions.

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Section: Bnc Softwarementioning

confidence: 99%

“…The tropospheric delay T r is usually modeled as a sum of hydrostatic and nonhydrostatic (wet) parts in precise GPS data processing [Dach et al, 2007]:…”

Section: Modeling Of Tropospheric Delaysmentioning

confidence: 99%

Section: Igs Ztdsmentioning

confidence: 99%

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Real‐time retrieval of precipitable water vapor from GPS precise point positioning

et al. 2014

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“…The POD strategy is based on an undifferenced approach, using rapid GPS orbits and 30 s clock corrections computed by the Center for Orbit Determination in Europe (CODE, Dach et al 2009). This approach was already successfully used for POD of, e.g., MetOp-A (Montenbruck et al 2008).…”

Section: Low Latency Orbits: Rsomentioning

confidence: 99%

GPS-derived orbits for the GOCE satellite

Bock

Jäggi

Meyer

et al. 2011

J Geod

Self Cite

117

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The first ESA (European Space Agency) Earth explorer core mission GOCE (Gravity field and steady-state Ocean Circulation Explorer) was launched on 17 March 2009 into a sun-synchronous dusk-dawn orbit with an exceptionally low initial altitude of about 280 km. The onboard 12-channel dual-frequency GPS (Global Positioning System) receiver delivers 1 Hz data, which provides the basis for precise orbit determination (POD) for such a very low orbiting satellite. As part of the European GOCE Gravity Consortium the Astronomical Institute of the University of Bern and the Department of Earth Observation and Space Systems are responsible for the orbit determination of the GOCE satellite within the GOCE High-level Processing Facility. Both quicklook (rapid) and very precise orbit solutions are produced with typical latencies of 1 day and 2 weeks, respectively. This article summarizes the special characteristics of the GOCE GPS data, presents POD results for about 2 months of data, and shows that both latency and accuracy requirements are met. Satellite Laser Ranging validation shows that an accuracy of 4 and 7 cm is achieved for the reduced-dynamic and kinematic Rapid Science Orbit solutions, respectively. The validation of the reduced-dynamic and kinematic Precise Science Orbit solutions is at a level of about 2 cm.

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“…The hourly NRT system is based on Bernese GPS Software 5.0 (BSW5.0) (Dach et al, 2007(Dach et al, , 2009) and uses double differencing to process a Europe-wide network ( Figure 1). A sub-hourly NRT system with an update cycle of 15 minutes is also based on BSW5.0 and is used to process 15 minutes RINEX files created from RT streams.…”

Section: Processing Systemsmentioning

confidence: 99%

The Status of GNSS Data Processing Systems to Estimate Integrated Water Vapour for Use in Numerical Weather Prediction Models

Ahmed

Teferle

Bingley

et al. 2015

International Association of Geodesy Symposia

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Modern Numerical Weather Prediction (NWP) models make use of the GNSS-derived Zenith Total Delay (ZTD) or Integrated Water Vapour (IWV) estimates to enhance the quality of their forecasts. Usually, the ZTD is assimilated into the NWP models on 3-hourly to 6-hourly intervals but with the advancement of NWP models towards higher update rates e.g. 1-hourly cycling in the Rapid Update Cycle (RUC) NWP, it has become of high interest to estimate ZTD on sub-hourly intervals. In turn, this imposes requirements related to the timeliness and accuracy of the ZTD estimates and has lead to a development of various strategies to process GNSS observations to obtain ZTD with different latencies and accuracies. Using present GNSS products and tools, ZTD can be estimated in realtime (RT), near real-time (NRT) and post-processing (PP) modes. The aim of this study is to provide an overview and accuracy assessment of various RT, NRT, and PP IWV estimation systems and comparing their achieved accuracy with the user requirements for GNSS meteorology. The NRT systems are based on Bernese GPS Software 5.0 and use a double-differencing strategy whereas the PP system is based on the Bernese GNSS Software 5.2 using the precise point positioning (PPP) strategy. The RT systems are based on the BKG Ntrip Client 2.7 and the PPP-Wizard both using PPP. The PPP-Wizard allows integer ambiguity resolution at a single station and therefore the effect of fixing integer ambiguities on ZTD estimates will also be presented.

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GNSS processing at CODE: status report

Cited by 252 publications

References 6 publications

Real‐time retrieval of precipitable water vapor from GPS precise point positioning

Real‐time retrieval of precipitable water vapor from GPS precise point positioning

GPS-derived orbits for the GOCE satellite

The Status of GNSS Data Processing Systems to Estimate Integrated Water Vapour for Use in Numerical Weather Prediction Models

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