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

Abstract

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.

Evaluation of DTRF2014, ITRF2014, and JTRF2014 by Precise Orbit Determination of SLR Satellites

“…Moreover, a global multi-mission crossover analysis is applied to estimate radial altimetry errors as well as geographically correlated mean SSH errors. More details on the method and its applications are provided by [8], [30], [31] and [32]. The SXO are computed with a maximum time difference of 10 days.…”

A new high-resolution model of non-tidal atmosphere and ocean mass variability for de-aliasing of satellite gravity observations: AOD1B RL06

“…We essentially follow the processing strategy outlined in Rudenko et al (2016), but focus on two satellites only that orbit ENVISAT (2003ENVISAT ( -2012 and Jason-1 (2002Jason-1 ( -2012 by adding either AOD1B RL05 or RL06 to the timevariable background gravity field during the POD procedure. We utilize space geodetic observations of those satellites acquired from Satellite Laser Ranging (SLR) disseminated via the International Laser Ranging Service (Pearlman et al 2005), and from the Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) system provided via the International DORIS Service (Willis et al 2010).…”

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

“…Thus, based on the results obtained by [34] we use reprocessed release 05 (RL05) of the AOD1B product. This allows us to improve orbit quality, as described by [34]. Additionally, we increase the truncation level of the AOD1B expansion from 50 to 100.…”