Influence of time variable geopotential models on precise orbits of altimetry satellites, global and regional mean sea level trends

Rudenko, Sergei; Dettmering, D; Esselborn, Saskia; Schöne, Tilo; Förste, Christoph; Lemoine, Jean‐Michel; Ablain, M.; Alexandre, David; Neumayer, Karl Hans

doi:10.1016/j.asr.2014.03.010

Cited by 66 publications

(59 citation statements)

References 47 publications

(54 reference statements)

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“…Similar difference patterns have been observed before and could be related to changes in the gravity-field model used to estimate the orbits (e.g. Rudenko et al 2014;Esselborn et al 2015).…”

Section: Discussion a N D C O N C L U S I O N Smentioning

confidence: 53%

“…We have computed precise orbits of altimetry satellites ERS-1 (1991ERS-1 ( -1996, ERS-2 (1995ERS-2 ( -2006, TOPEX/Poseidon (1992-2005, Envisat (2002Envisat ( -2012 and Jason-1 (2002Jason-1 ( -2012 at the time intervals given using the same background models (Rudenko et al 2014), but applying two different releases of the AOD1B product (RL04 and RL05) and no AOD1B data at all. The non-tidal highfrequency atmospheric and oceanic mass variations represented by the AOD1B products are added to the background time variable gravity field model during the precise orbit determination (Flechtner et al 2008).…”

Section: E Va L Uat I O N O F T H E a O D 1 B P Ro D U C T S W I T H mentioning

confidence: 99%

“…This force is usually expressed in the expansion of spherical harmonic coefficients. The up-to-date models of the Earth gravity field, like, for example, EIGEN-6S2 (Rudenko et al 2014), include the static and time variable parts consisting of drifts and periodic, namely, annual and semi-annual variations of geopotential coefficients. However, these variations do not include non-tidal high-frequency atmospheric and oceanic mass variations that should be added to the gravity field model in order to compute orbits of the Earth orbiting satellite with high precision.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Atmospheric and Oceanic De-aliasing Level-1B (AOD1B) products on precise orbits of altimetry satellites and altimetry results

Rudenko¹,

Dettmering

Esselborn³

et al. 2016

Geophys. J. Int.

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S U M M A R YWe have extended backwards from 2001 to 1979 the current release 05 (RL05) of the Gravity Recovery and Climate Experiment (GRACE) Atmospheric and Oceanic De-aliasing Level-1B (AOD1B) product and studied the impact of this and a previous release 04 (RL04) of the AOD1B product on precise orbits of five altimetry satellites (ERS-1, ERS-2, TOPEX/Poseidon, Envisat and Jason-1) for the time span 1991-2012, as compared to the case when no AOD1B product is used. We have found that using AOD1B RL05 product reduces root mean square (RMS) fits of satellite laser ranging (SLR) observations by about 1.0-6.4 per cent, 2-d arc overlaps in radial, cross-track and along-track directions by about 1.3-12.0, 0.3-10.0 and 2.0-10.0 per cent, respectively, for various satellites tested, as compared to the case without AOD1B product. Using AOD1B RL05 product instead of RL04 one reduces SLR RMS fits by 0.1-0.7 per cent, 2-d arc overlaps in radial, cross-track and along-track directions by 0.1-0.6, 0.1-1.3 and 0.2-1.2 per cent, respectively, for the satellite orbits tested. The multi-mission crossover analysis shows that the application of an AOD1B product reduces the scatter of radial errors by 0.4-2.8 per cent for the satellite missions studied. At the regions with the most pronounced changes the use of the AOD1B products improves the consistency between the sea level as measured by the TOPEX and ERS-2 missions and by the Jason-1 and Envisat missions by 5 to 10 per cent (globally by about 2 per cent). The results of our study show that extended AOD1B RL05 product performs better than the AOD1B RL04 and improves orbits of altimetry satellites and consistency of sea level products.

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Section: Discussion a N D C O N C L U S I O N Smentioning

confidence: 53%

Section: E Va L Uat I O N O F T H E a O D 1 B P Ro D U C T S W I T H mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impact of Atmospheric and Oceanic De-aliasing Level-1B (AOD1B) products on precise orbits of altimetry satellites and altimetry results

Rudenko¹,

Dettmering

Esselborn³

et al. 2016

Geophys. J. Int.

Self Cite

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“…The associated round robin data packages (RRDPs) showing the impact of each standard and the output of the meeting are available on the SL_cci website (http://www.esa-sealevel-cci.org/PublicDocuments) (Legeais and the ESA SL_cci team, 2016c), with a synopsis of the comparisons given in Quartly et al (2017). Many of the applied corrections have been revised, in particular modelled orbits due to time-variable gravity (Rudenko et al, 2014Couhert et al, 2015), satellite attitude, macromodels and tropospheric correction models for DORIS observations , modifications to the wet tropospheric correction based on combined GNSS and radiometer datasets , and the latest changes in ocean tide (FES2014) and pole tide .…”

Section: Input Data and Altimeter Standardsmentioning

confidence: 99%

An improved and homogeneous altimeter sea level record from the ESA Climate Change Initiative

Legeais

Ablain

Zawadzki

et al. 2018

Earth Syst. Sci. Data

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171

135

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Abstract. Sea level is a very sensitive index of climate change since it integrates the impacts of ocean warming and ice mass loss from glaciers and the ice sheets. Sea level has been listed as an essential climate variable (ECV) by the Global Climate Observing System (GCOS). During the past 25 years, the sea level ECV has been measured from space by different altimetry missions that have provided global and regional observations of sea level variations. As part of the Climate Change Initiative (CCI) program of the European Space Agency (ESA) (established in 2010), the Sea Level project (SL_cci) aimed to provide an accurate and homogeneous long-term satellite-based sea level record. At the end of the first phase of the project (2010)(2011)(2012)(2013), an initial version (v1.1) of the sea level ECV was made available to users . During the second phase of the project (2014-2017), improved altimeter standards were selected to produce new sea level products (called SL_cci v2.0) based on nine altimeter missions for the period 1993-2015 (https://doi.org/10.5270/esa-sea_level_cci-1993_2015-v_2.0-201612; Legeais and the ESA SL_cci team, 2016c). Corresponding orbit solutions, geophysical corrections and altimeter standards used in this v2.0 dataset are described in detail in Quartly et al. (2017). The present paper focuses on the description of the SL_cci v2.0 ECV and associated uncertainty and discusses how it has been validated. Various approaches have been used for the quality assessment such as internal validation, comparisons with sea level records from other groups and with in situ measurements, sea level budget closure analyses and comparisons with model outputs. Compared with the previous version of the sea level ECV, we show that use of improved geophysical corrections, careful bias reduction between missions and inclusion of new altimeter missions lead to improved sea level products with reduced uncertainties on different spatial and temporal scales. However, there is still room for improvementPublished by Copernicus Publications. 282J.-F. Legeais et al.: An improved and homogeneous altimeter sea level record from the ESA since the uncertainties remain larger than the GCOS requirements (GCOS, 2011). Perspectives on subsequent evolution are also discussed.

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“…Due to their low orbital altitudes (700-1340 km), the DORIS satellites are more sensitive to the time-variable geopotential (e.g. EIGEN-6S2; Rudenko et al 2014). Therefore, making benefit of new geopotential models using Gravity Recovery And Climate Experiment (GRACE; Tapley et al 2004) data, the IDS analysis centres adopted geopotential models that included more detailed time-variable gravity modeling.…”

Section: Introductionmentioning

confidence: 99%

Horizontal and vertical velocities derived from the IDS contribution to ITRF2014, and comparisons with geophysical models

Moreaux¹,

Lemoine

Argus

et al. 2016

Geophys. J. Int.

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S U M M A R YIn the context of the 2014 realization of the International Terrestrial Reference Frame, the International DORIS (Doppler Orbitography Radiopositioning Integrated by Satellite) Service (IDS) has delivered to the IERS a set of 1140 weekly SINEX files including station coordinates and Earth orientation parameters, covering the time period from 1993.0 to 2015.0. From this set of weekly SINEX files, the IDS combination centre estimated a cumulative DORIS position and velocity solution to obtain mean horizontal and vertical motion of 160 stations at 71 DORIS sites. The main objective of this study is to validate the velocities of the DORIS sites by comparison with external models or time-series. Horizontal velocities are compared with two recent global plate models (GEODVEL 2010 and NNR-MORVEL56). Prior to the comparisons, DORIS horizontal velocities were corrected for Global Isostatic Adjustment from the ICE-6G (VM5a) model. For more than half of the sites, the DORIS horizontal velocities differ from the global plate models by less than 2-3 mm yr −1 . For five of the sites (Arequipa, Dionysos/Gavdos, Manila and Santiago) with horizontal velocity differences with respect to these models larger than 10 mm yr −1 , comparisons with GNSS estimates show the veracity of the DORIS motions. Vertical motions from the DORIS cumulative solution are compared with the vertical velocities derived from the latest GPS cumulative solution over the time span 1995.0-2014.0 from the University of La Rochelle solution at 31 co-located DORIS-GPS sites. These two sets of vertical velocities show a correlation coefficient of 0.83. Vertical differences are larger than 2 mm yr −1 at 23 percent of the sites. At Thule, the disagreement is explained by fine-tuned DORIS discontinuities in line with the mass variations of outlet glaciers. Furthermore, the time evolution of the vertical time-series from the DORIS station in Thule show similar trends to the GRACE equivalent water height.

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Influence of time variable geopotential models on precise orbits of altimetry satellites, global and regional mean sea level trends

Cited by 66 publications

References 47 publications

Impact of Atmospheric and Oceanic De-aliasing Level-1B (AOD1B) products on precise orbits of altimetry satellites and altimetry results

Impact of Atmospheric and Oceanic De-aliasing Level-1B (AOD1B) products on precise orbits of altimetry satellites and altimetry results

An improved and homogeneous altimeter sea level record from the ESA Climate Change Initiative

Horizontal and vertical velocities derived from the IDS contribution to ITRF2014, and comparisons with geophysical models

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