Towards development of a consistent orbit series for TOPEX, Jason-1, and Jason-2

Lemoine, F. G.; Zelensky, N. P.; Chinn, D. S.; Pavlis, D. E.; Rowlands, D. D.; Beckley, B. D.; Luthcke, S. B.; Willis, Pascal; Ziebart, Marek; Sibthorpe, A.; Boy, Jean‐Paul; Luceri, V.

doi:10.1016/j.asr.2010.05.007

Cited by 92 publications

(40 citation statements)

References 65 publications

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“…Based on the previous analysis we have chosen the following reference orbits: GSFC std1204 [21] The along-track sea level anomalies are interpolated to monthly 1…”

Section: Orbit Quality Assessment Based On Sea Level Anomaliesmentioning

confidence: 99%

Improvements in Precise Orbits of Altimetry Satellites and Their Impact on Mean Sea Level Monitoring

Rudenko

Neumayer

Dettmering

et al. 2017

IEEE Trans. Geosci. Remote Sensing

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Abstract-New, precise, consistent orbits (VER11) of altimetry satellites ERS-1, ERS-2, TOPEX/Poseidon, Envisat, Jason-1 and Jason-2 have been recently derived at GFZ German Research Centre for Geosciences in the extended ITRF2008 terrestrial reference frame using improved models and covering the time span 1991-2015. These orbits show improved quality, as compared to GFZ previous (VER6) orbits derived in 2013. Improved macromodels reduce root mean square (RMS) fits of satellite laser ranging (SLR) observations by 2.6, 6.9 and 7.0% for TOPEX/Poseidon, Jason-1 and Jason-2, respectively. Applying Vienna Mapping Functions 1 instead of Hopfield model for tropospheric correction of Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) observations reduces RMS fits of SLR observations by 2.0-2.4% and those of DORIS observations by 2.6% for Envisat and Jason satellites. Using satellite true attitude instead of models improves Jason-1 SLR RMS fits by 41% from July 2012 until July 2013. The VER11 orbits indicate the mean values of the SLR RMS fits between 1.2 and 2.1 cm for the different missions. The internal orbit consistency in the radial direction is between 0.5 and 1.9 cm. The global mean sea level trend for the period 1993 to 2014 from TOPEX, Jason-1 and Jason-2 is increased by 0.2 mm/year to 3.0 mm/year from the GFZ VER6 to VER11 orbits. Regionally, the decadal trends from GFZ VER11 and external orbits vary in the order of 1 mm/year.

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“…Based on the previous analysis we have chosen the following reference orbits: GSFC std1204 [21] The along-track sea level anomalies are interpolated to monthly 1…”

Section: Orbit Quality Assessment Based On Sea Level Anomaliesmentioning

confidence: 99%

Improvements in Precise Orbits of Altimetry Satellites and Their Impact on Mean Sea Level Monitoring

Rudenko

Neumayer

Dettmering

et al. 2017

IEEE Trans. Geosci. Remote Sensing

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“…Many LEO satellites are equipped with the French system DORIS (Doppler Orbitography and Radiopositioning Integrated by Satellites), which may be included into a combined analysis. A combined analysis of DORIS, SLR and GPS data with the main focus on precise orbit determination of the LEO satellites was, e.g., performed by Lemoine et al (2010), who showed different examples for deriving consistent series of satellite orbits for TOPEX, Jason-1 and Jason-2. As the main focus of our paper is on the terrestrial reference frame and the parameters related to the GNSS satellites (SAO, SLR range biases, orbits), we restrict our analysis to the SLR-GNSS co-locations onboard the GNSS satellites.…”

Section: Introductionmentioning

confidence: 99%

Combination of GNSS and SLR observations using satellite co-locations

Thaller

Dach

Seitz³

et al. 2011

J Geod

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Satellite Laser Ranging (SLR) observations to Global Navigation Satellite System (GNSS) satellites may be used for several purposes. On one hand, the range measurement may be used as an independent validation for satellite orbits derived solely from GNSS microwave observations. On the other hand, both observation types may be analyzed together to generate a combined orbit. The latter procedure implies that one common set of orbit parameters is estimated from GNSS and SLR data. We performed such a combined processing of GNSS and SLR using the data of the year 2008. During this period, two GPS and four GLON-ASS satellites could be used as satellite co-locations. We focus on the general procedure for this type of combined processing and the impact on the terrestrial reference frame (including scale and geocenter), the GNSS satellite antenna offsets (SAO) and the SLR range biases. We show that the combination using only satellite co-locations as connection between GNSS and SLR is possible and allows the estimation of SLR station coordinates at the level of 1-2 cm. The SLR observations to GNSS satellites provide the scale allowing the estimation of GNSS SAO without relying on the scale of any a priori terrestrial reference frame. We show that the necessity to estimate SLR range biases does not prohibit the estimation of GNSS SAO. A good distribution of SLR observations allows a common estimation of the two parameter types. The estimated corrections for the GNSS SAO are 119 mm and −13 mm on average for the GPS and GLON-ASS satellites, respectively. The resulting SLR range biases suggest that it might be sufficient to estimate one parameter per station representing a range bias common to all GNSS satellites. The estimated biases are in the range of a few centimeters up to 5 cm. Scale differences of 0.9 ppb are seen between GNSS and SLR.

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“…All such missions require Precise Orbit Determination (POD) based on satellite geodetic techniques such as Satellite Laser Ranging (SLR), DORIS (Doppler Orbitography and Radiopositioning Integrated by Satellite) and GPS (Global Positioning System), as discussed by Cerri et al (2010), Lemoine et al (2010), and Zelensky et al (2010).…”

Section: Introductionmentioning

confidence: 99%

DPOD2008: A DORIS-Oriented Terrestrial Reference Frame for Precise Orbit Determination

Willis

Zelensky

Ries³

et al. 2015

International Association of Geodesy Symposia

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While accuracy of tracking station coordinates is of key importance for Precise Orbit Determination (POD) for altimeter satellites, reliability and operationality are also of great concern. In particular, while recent ITRF realizations should be the most accurate at the time of their computation, they cannot be directly used by the POD groups for operational consideration for several reasons such as new stations appearing in the network or new discontinuities affecting station coordinates. For POD purposes, we computed a new DORIS terrestrial frame called DPOD2008 derived from ITRF2008 (as previously done by DPOD2005 with regards to ITRF2005). In a first step, we will present the method used to validate the past ITRF2008 using more recent DORIS data and to derive new station positions and velocities, when needed. In particular, discontinuities in DORIS station positions and/or velocities are discussed. To derive new DORIS station coordinates, we used recent DORIS weekly time series of coordinates, recent GPS relevant time series at co-located sites and also dedicated GPS campaigns performed by IGN when installing new DORIS beacons. DPOD2008 also contains additional metadata that are useful when processing DORIS data, for example, periods during which DORIS data should not be used or at least for which data should be downweighted. In several cases, a physical explanation can be found for such temporary antenna instability. We then demonstrate improvements seen when using different reference frames, such as the original ITRF2008 solution, for precise orbit determination of altimeter satellites TOPEX/Poseidon and Jason-2 over selected periods spanning 1993-2013.

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Towards development of a consistent orbit series for TOPEX, Jason-1, and Jason-2

Cited by 92 publications

References 65 publications

Improvements in Precise Orbits of Altimetry Satellites and Their Impact on Mean Sea Level Monitoring

Improvements in Precise Orbits of Altimetry Satellites and Their Impact on Mean Sea Level Monitoring

Combination of GNSS and SLR observations using satellite co-locations

DPOD2008: A DORIS-Oriented Terrestrial Reference Frame for Precise Orbit Determination

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