ERS-1 2 ORBIT IMPROVEMENT USING TOPEX/POSEIDON - THE 2CM CHALLENGE/

The ERS orbit error reduction method using TOPEX/POSEIDON (TIP) data a s a reference [Le Traon et al., 1995a] was applied to ERS-1 cycles fro m phases C, E, F, and G and to the first 16 cycles of the ERS-2 missio n (phase A). T/P M-GDR (geophysical data record) (version C) and ERS-1 /2 ocean product (OPR) data were used. ERS-1/2 orbits are the D-PAF (p rocessing and archiving facility) orbits and, when necessary, ERS-1/2 altimetric corrections were updated to make the T/P and ERS-1/2. corre ctions homogeneous. The adjustment method has been refined, and formal error on the estimation is now calculated. The ERS-1/2 orbit error es timation is thus estimated to be precise to within about 2 cm root-mea n-square (rms). E-E crossover differences are reduced from 12 to 17 cm to only 6.5 cm rms for all processed cycles. Similarly, the TIP-E cro ssover differences are reduced from 11 to 14 cm to only 7 cm rms. The adjusted D-PAF orbit error varies between 6 and 12 cm rms. The adjustm ent has also been performed for the Joint Gravity Model 3(JGM 3) orbit s of ERS-1 phases C, E, and F. The rms difference between the correcte d orbits for the D-PAF and JGM 3 orbits is only about 1 cm rms, while it is about 11 cm before T/P orbit error correction. This shows that t he adjustment is almost insensitive to the initial ERS-1. orbit used. It also confirms the 2 cm precision of the method. We also do repeat-t rack analysis on the 35 day repeat cycles of ERS-1 phase C. The mean d ifference in sea level variance before and after orbit error correctio n is 34 cm(2) (D-PAF orbit) and 17 cm(2) (JGM 3 orbit). The corrected ERS-1 and TIP sea level variabilities, however, are in excellent agree ment. The study thus shows that ERS-1/2 orbit error must be corrected before analyzing large-scale oceanic signals and combining ERS-1/2 wit h T/P data. The proposed method provides a very effective correction a nd thus significantly enhances the quality of ERS-1/2 data. Correspond ing data sets will be distributed to the scientific community by Archi ving, Validation, and Interpretation of Satellite Oceanographic Data ( AVISO).