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Altimeter sea surface height bias calibration with in situ network G. Jan 1, P. Bonnefond 2, Y. Ménard 3, O. Laurain 2 1 NOVELTIS, Toulouse, France 2 OCA,

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Presentation on theme: "Altimeter sea surface height bias calibration with in situ network G. Jan 1, P. Bonnefond 2, Y. Ménard 3, O. Laurain 2 1 NOVELTIS, Toulouse, France 2 OCA,"— Presentation transcript:

1 Altimeter sea surface height bias calibration with in situ network G. Jan 1, P. Bonnefond 2, Y. Ménard 3, O. Laurain 2 1 NOVELTIS, Toulouse, France 2 OCA, GEMINI, Grasse, France 3 CNES, Toulouse, France

2 NOV-3501-SL-4548v.1 Altimeter SSH bias with in situ regional calibration Method Objective: Multi Satellites, passes and sites in situ calibration With tide gauges and the local satellite pass over the calval site AND with offshore passes using several mean sea level slope along satellite passes paths. Several sites, geodetically referenced. Network: Senetosa (1998), Macinaggio (2004), Ibiza, Ajaccio (dec-2005), Capraia is schedulded, Wusi (Near the New Zealand, since 1999) Mean sea surface catamaran GPS technique From P. Bonnefond, OCA

3 NOV-3501-SL-4548v.1 Altimeter SSH bias with in situ regional calibration Method How the merged method (regional and then local) can improve the sea surface height bias estimation and reinforce it statistically? With 1 CalVal site : n passes for 1 satellite calibration several calibrations of N satellites (Jason-1, Topex - Poseidon, GFO, ENVISAT) Tests on formation flight period Jason-1 & Topex-Poseidon (8 months) GDR-b, GDR-a : impact of the new GDR on the sea surface height bias Impact of the regional calval method, rms, number of cycles, passes used.

4 NOV-3501-SL-4548v.1 Altimeter SSH bias with in situ regional calibration Sea surface height bias for JASON-1 Bias results on Jason-1 pass 085 : mm ; std=21.1 mm GDR-b, GDR-a difference: variance ssh decreases Ssh bias difference with Harvest pass 043 (B. Haines) =18 mm UNITS mm

5 NOV-3501-SL-4548v.1 Altimeter SSH bias with in situ regional calibration Sea surface height bias for JASON-1 Calibration with offshore passes? UNITS mm TO calibration several satellites with one site with the background idea that is continuity in altimetric time series

6 Envisat B= 45.4cm, rms=4cm (merged method) B= 43.3cm, rms=7.3cm Ajaccio cycles 12 to 31 + Absolute SSH bias (SSH) continuity between altimetry missions ante /… Topex-Poseidon GFO ENVISAT Jason cm (rms=1.5cm ) 45.4 cm (rms=4cm ) 7.2 cm (rms=4.6cm ) -0.4 cm (rms=1.9cm ) From OSTST 2006: form regional CalVal method

7 NOV-3501-SL-4548v.1 Altimeter SSH bias with in situ regional calibration Discontinuity in altimeters time series sets the problem of : the precise knowledge of the bias drift its extrapolation the restart with one satellite Interest from In Situ calval => maintain exactitude of instruments (geodetically referenced) to insure a fix stable reference level. It means: homogeneous products in referenced to the same reference. Precision of the match = F (knowledge of the instruments drifts, time period without SSH bias estimation)  Time period of the gap impacts the error on estimation. If there is a 1 year gap and no drift: Rms will increase compared to a complete configuration, stable bias. Impact of a gap ino altimetric data between 2 missions

8 NOV-3501-SL-4548v.1 Altimeter SSH bias with in situ regional calibration But, in case of measurements drift: In situ CalVal in situ to extrapolate data between 2 time series with a gap between. Interest of inter comparison between altimetry missions We could think to a system with: studies on satellites systems drifts / knowledge of these drifts (if existing) / put in the in situ absolute ssh bias. Impact de trous dans la série Altimétrie P. Bonnefond et al. In situ calval technique can be An advantage to restart in a one operational satellite configuration One major problem comes from errors specific to each site. Development of other sites could be useful.

9 NOV-3501-SL-4548v.1 Altimeter SSH bias with in situ regional calibration Nothing new. But, the exercise could give a common framework for ssh bias computing with conditions as homogeneous as possible. This exchange plan would be made with the participant CalVal teams. It would be proposed to be applied before OSTST future meetings. Suggestion of a common framework for in situ CalVal and data consistency G.Jan (1), Y. Ménard (2), P. Bonnefond (3), O. Laurain (3), L. Roblou (1) (1) NOVELTIS (2) CNES (3) OCA Proposal to compare and synthesize sea surface height (ssh) bias results from in situ CalVal methods. To analyse the results from CalVal sites on a computing basis as comparable as possible Jas-1 ascending passes n°47, 149, 225 Ja-1 descending passes n° 12,88,164 Source figure: Xscan software (F. Lyard et al.) : global bathymetry from POC-LEGOS database Ja-1 passes n°43, 206 Jas-1 ascending passes n°9, 85,187 Ja-1 descending passes n° 44, 70, 222 Ja-1 passes N° 19, 109


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