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TEC impact on SSS estimation

TEC impact on SSS estimation. ACRI-ST LOCEAN ARGANS 11/01/2013. Introduction. New L2OS algorithm retrieval including TEC estimation from St3 Computing OTT from TEC(St3), descending orbits. OTT1 std/ra using L1c TEC: 10 descending orbits. OTT1 std/ra using TEC(St3).

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TEC impact on SSS estimation

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  1. TEC impact on SSS estimation ACRI-ST LOCEAN ARGANS 11/01/2013

  2. Introduction New L2OS algorithm retrieval including TEC estimation from St3 Computing OTT from TEC(St3), descending orbits. OTT1 std/ra using L1c TEC: 10 descending orbits OTT1 std/ra using TEC(St3) TEC estimation using St3 for each individual half orbit -> TEC(St3) Do the SSS retrieval with TEC(St3) in full pol mode (best configuration).

  3. Introduction L1c associates the same TEC by snapshot. Here we compute the TEC according to the line of sight position. We are able to deal with strong gradient TEC = for each line of sight a specific TEC is computed.

  4. Results DATA : descending half orbit : 01/05/2012 NOMINAL ALGORITHM NEW ALGORITHM

  5. Results chi2 new < chi2 nominal Area with high TEC gradient

  6. Results Larger differences close to the coast Comparaison with climatology Salinity less underestimated with new algorithm.

  7. Results SSS and TEC Smaller impact on the edges of the swath

  8. Results SSS and WS

  9. Results SSS profiles

  10. Conclusions and perspectives New TEC model allows fitting better SMOS measurements than nominal model. New TEC model gives salinity closer to climatology than nominal model, specially over areas where TEC has strong gradient. -> comparison should be done using ISAS SSS : available at the end of January -> extend the tests on 10 half descending orbits -> tests to be done with ascending orbits

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