Orbit choice and the theory of radial orbit error for altimetry

2008 ◽  
pp. 244-315 ◽  
Author(s):  
George Balmino
Keyword(s):  
Orbit Error ◽  
Radial Orbit ◽  
Radial Orbit Error

Radial orbit error reduction and mean sea surface computation from the Geosat altimeter data

1994 ◽  
Vol 99 (B3) ◽  
pp. 4519-4531 ◽  
Author(s):  
S. Houry ◽  
J. F. Minster ◽  
C. Brossier ◽  
K. Dominh ◽  
M. C. Gennero ◽  
...  
Keyword(s):  
Error Reduction ◽  
Sea Surface ◽  
Altimeter Data ◽  
Orbit Error ◽  
Mean Sea Surface ◽  
Radial Orbit ◽  
Radial Orbit Error

Towards the 1mm/y stability of the radial orbit error at regional scales

2015 ◽  
Vol 55 (1) ◽  
pp. 2-23 ◽  
Author(s):  
Alexandre Couhert ◽  
Luca Cerri ◽  
Jean-François Legeais ◽  
Michael Ablain ◽  
Nikita P. Zelensky ◽  
...  
Keyword(s):  
Orbit Error ◽  
Radial Orbit ◽  
Radial Orbit Error

Estimate of the radial orbit error by complex demodulation

1993 ◽  
Vol 98 (B9) ◽  
pp. 16083 ◽  
Author(s):  
O. Francis ◽  
M. Bergé
Keyword(s):  
Orbit Error ◽  
Complex Demodulation ◽  
Radial Orbit ◽  
Radial Orbit Error

The temporal and spatial characteristics of TOPEX/POSEIDON radial orbit error

1995 ◽  
Vol 100 (C12) ◽  
pp. 25331 ◽  
Author(s):  
J. A. Marshall ◽  
N. R. Zelensky ◽  
S. M. Klosko ◽  
D. S. Chinn ◽  
S. B. Luthcke ◽  
...  
Keyword(s):  
Orbit Error ◽  
Spatial Characteristics ◽  
Radial Orbit ◽  
Radial Orbit Error ◽  
Temporal And Spatial ◽  
Temporal And Spatial Characteristics

scholarly journals Orbit related sea level errors for TOPEX altimetry at seasonal to decadal time scales

2017 ◽  
Author(s):  
Saskia Esselborn ◽  
Sergei Rudenko ◽  
Tilo Schöne
Keyword(s):  
Sea Level ◽  
Time Scales ◽  
Central Pacific ◽  
Orbit Error ◽  
Sea Level Variability ◽  
Mean Sea Level ◽  
Precise Knowledge ◽  
Radial Orbit ◽  
Global Mean Sea Level ◽  
Global Mean

Abstract. Interannual to decadal sea level trends are indicators of climate variability and change. A major source of global and regional sea level data is satellite radar altimetry, which relies on precise knowledge of the satellite's orbit. Here, we assess the error budget of the radial orbit component for the TOPEX/Poseidon mission for the period 1993 to 2004 from a set of different orbit solutions. Upper bound errors for seasonal, interannual (5 years), and decadal periods are estimated on global and regional scales based on radial orbit differences from three state-of-the-art orbit solutions provided by different research teams (GFZ, GSFC, and GRGS). The global mean sea level error related to the orbit is of the order of 7 mm (more than 10 % of the sea level variability) with negligible contributions on the annual and decadal time scale. In contrast, the orbit related error of the interannual trend is 0.1 mm/year (18 % of the corresponding sea level variability) and might hamper the estimation of an acceleration of the global mean sea level rise. For regional scales, the gridded orbit related error is up to 11 mm and for about half the ocean the orbit error accounts for at least 10 % of the observed sea level variability. The seasonal orbit error amounts to 10 % of the observed seasonal sea level signal in the Southern Ocean. At interannual and decadal time scales, the orbit related trend uncertainties reach regionally more than 1 mm/year. The interannual trend errors account for 10 % of the observed sea level signal in the Tropical Atlantic and the south-eastern Pacific. For decadal scales, the orbit related trend errors are prominent in a couple of regions including: South Atlantic, western North Atlantic, central Pacific, South Australian Basin, and Mediterranean Sea. Based on a set of test orbits calculated at GFZ, the sources of the observed orbit related errors are further investigated. Main contributors on all time scales are uncertainties in Earth’s time variable gravity field models and on annual to interannual time scales discrepancies of the tracking station sub-networks, i.e., SLR and DORIS.

scholarly journals Orbit-related sea level errors for TOPEX altimetry at seasonal to decadal timescales

Ocean Science ◽  
2018 ◽  
Vol 14 (2) ◽  
pp. 205-223 ◽  
Author(s):  
Saskia Esselborn ◽  
Sergei Rudenko ◽  
Tilo Schöne
Keyword(s):  
Sea Level ◽  
Research Centre ◽  
The South ◽  
Central Pacific ◽  
Orbit Error ◽  
Sea Level Variability ◽  
Mean Sea Level ◽  
Radial Orbit ◽  
Global Mean Sea Level ◽  
Global Mean

Abstract. Interannual to decadal sea level trends are indicators of climate variability and change. A major source of global and regional sea level data is satellite radar altimetry, which relies on precise knowledge of the satellite's orbit. Here, we assess the error budget of the radial orbit component for the TOPEX/Poseidon mission for the period 1993 to 2004 from a set of different orbit solutions. The errors for seasonal, interannual (5-year), and decadal periods are estimated on global and regional scales based on radial orbit differences from three state-of-the-art orbit solutions provided by different research teams: the German Research Centre for Geosciences (GFZ), the Groupe de Recherche de Géodésie Spatiale (GRGS), and the Goddard Space Flight Center (GSFC). The global mean sea level error related to orbit uncertainties is of the order of 1 mm (8 % of the global mean sea level variability) with negligible contributions on the annual and decadal timescales. In contrast, the orbit-related error of the interannual trend is 0.1 mm yr−1 (27 % of the corresponding sea level variability) and might hamper the estimation of an acceleration of the global mean sea level rise. For regional scales, the gridded orbit-related error is up to 11 mm, and for about half the ocean the orbit error accounts for at least 10 % of the observed sea level variability. The seasonal orbit error amounts to 10 % of the observed seasonal sea level signal in the Southern Ocean. At interannual and decadal timescales, the orbit-related trend uncertainties reach regionally more than 1 mm yr−1. The interannual trend errors account for 10 % of the observed sea level signal in the tropical Atlantic and the south-eastern Pacific. For decadal scales, the orbit-related trend errors are prominent in a several regions including the South Atlantic, western North Atlantic, central Pacific, South Australian Basin, and the Mediterranean Sea. Based on a set of test orbits calculated at GFZ, the sources of the observed orbit-related errors are further investigated. The main contributors on all timescales are uncertainties in Earth's time-variable gravity field models and on annual to interannual timescales discrepancies of the tracking station subnetworks, i.e. satellite laser ranging (SLR) and Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS).

scholarly journals Influence of the GEO satellite orbit error fluctuation correction on the BDS WADS zone correction

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Binghao Wang ◽  
Jianhua Zhou ◽  
Bin Wang ◽  
Dianwei Cong ◽  
Hui Zhang
Keyword(s):  
Satellite Orbit ◽  
Orbit Error ◽  
Geo Satellite

Attitude and orbit error in n-dimensional spaces

2006 ◽  
Vol 54 (3-4) ◽  
pp. 467-484 ◽  
Author(s):  
Daniele Mortari ◽  
Sante R. Scuro ◽  
Christian Bruccoleri
Keyword(s):  
Orbit Error

scholarly journals Correction to: Orbit error characteristic and distribution of TLE using CHAMP orbit data

2020 ◽  
Vol 365 (7) ◽  
Author(s):  
Xiao-li Xu ◽  
Yong-qing Xiong
Keyword(s):  
Error Characteristic ◽  
Orbit Error ◽  
Orbit Data

scholarly journals Seasonal variation in the apparent height of the East Antarctic ice sheet

1997 ◽  
Vol 24 ◽  
pp. 191-198 ◽  
Author(s):  
D. Yi ◽  
C. R. Bentley ◽  
M. D. Stenoien
Keyword(s):  
Seasonal Variation ◽  
Accumulation Rate ◽  
Surface Elevation ◽  
Secular Change ◽  
Radar Signal ◽  
Real Surface ◽  
Radar Altimeter ◽  
Depth Of Penetration ◽  
Orbit Error ◽  
Satellite Radar

A satellite radar altimeter can be used to monitor surface elevation change over polar ice sheets. Thirty-five months of Geosat Exact Repeat Mission (ERM) data from November 1986 to September 1989 over a section of East Antarctica (69–72.1 ∘S, 80–140∘ E) have been used in this study. A model that considers both surface and volume scattering was used to retrack the altimeter waveforms. Surface elevations for each month after the first three were compared to the average elevations for the first 3 months through a crossover method. The averaged crossover elevation difference changed with time in a way that suggests a yearly cycle in surface elevation. The average amplitude of the cycle is about 0.6 m. We have been unable to find any satisfactory explanation for the observed changes, in terms of either sources of error or contributors to real surface-height changes. We strongly suspect that orbit error plays a major role in producing the variations, although we know of no quantitatively satisfactory source of a quasi-seasonal variation in orbit error. Other possible contributors include a real seasonal variation in accumulation rate, seasonal changes in the delay of the radar signal as it propagates through the atmosphere, unmodeled variations in the depth of penetration of the radar pulse into the firn, changes in the thickness of the ice and the firn zone in response to seasonal variations in pressure and temperature, and the inverted barometer effect. Even though we do not know the cause of the variations, the results show the importance of comparing elevations at the same time of year for observations that are not continuous, while at the same time showing that even annually spaced measurements may not be free of substantial errors associated with interannual variability. The quasi-periodic variations obscure any evidence of a moderate secular change in surface height, if there is one, but a dramatic lowering at rates approaching 1 ma–1, such as are known elsewhere in Antarctica, can definitely be ruled out.

Sign in / Sign up

Export Citation Format

Share Document