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Current activities at ICM-SMOS-BEC

J. Gourrion, C. Gabarró, R. Sabia, M. Talone, V. González, S. Montero, S. Guimbard, F. Pérez, J. Martínez, M.

Portabella, J. Ballabrera, A. Turiel, A. Monerris and J. Font

SMOS Barcelona Expert Centre (SMOS-BEC)

Institut de Ciències del Mar (ICM-CSIC), Barcelona, Spain.

Unidad de Tecnología Marina (UTM-CSIC), Barcelona, Spain.

New empirical roughness ∆TB

Improving roughness correction

eSST (TBSMOS OTT TB

up )e TBflat TB

down (1 R2) TBgalscat e

presented at QWG-2, ESRIN

Salinity retrieval

inversion for each TB

assumed perfect auxiliary parameters

linearized inversion problem

linear inference

inversion along dwell-line

auxiliary parameter error covariance matrix

full inversion problem

Level 2 processors

SSSR SSSC TSMOSB Tfm

B

C TfmB

SSSC

presented at QWG-2, ESRIN

Validation of new roughness model

SSS from X-pol

anomalies

SSS from Y-pol

anomalies

OTT – 10 days, homo GC, model 2 presented at QWG-2, ESRIN

Validation of new roughness model

SSS from X-pol

anomalies

SSS from Y-pol

anomalies

OTT – 10 days, homo GC, new model presented at QWG-2, ESRIN

Validation of new roughness model

OTT – 10 days, homo GC, new model presented at QWG-2, ESRIN

New LUT October 2010

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New LUT October 2010

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Ongoing activities

Implementation of data selection techniques

Land filtering: discard L1B snapshots with (xi,eta) points located over land using land-sea mask

RFI filtering: discard L1B snapshots with (xi,eta) points having TB departure from an average oceanic image larger than some threshold (i.e. 20 K)

Celestial reflection: discard (xi,eta) points for which the Galactic-2 model suggests a contamination different from the cosmic background by more than a given threshold

Faraday rotation: discard (xi,eta) points for which the Faraday rotation angle is greater than given threshold (angle currently computed from L1C TEC auxiliary information)

Ongoing activities

Build a reference dataset, with minimal contaminations using data selection

for OTT studies

for roughness impact characterization

Need a global dataset with a large range of geophysical conditions.

Subdatasets for specific geophysical conditions (U = U0,

SSS = SSS0, SST = SST0) can be derived from it. In this

case, a longer homogeneous (in terms of instrument stability and configuration) time series is required.

Ongoing activities

Quality flags

Connect MIRAS-TS (UPC) software to downstream processing chain

for cross-validation of L1B brightness temperatures

for testing impact of reconstruction options onto inversed salinity fields

Ongoing activities

OTT / roughness model development: iterative process to ensure consistency

Length of time integration window

Homogenization of geophysical conditions inside the Field of View

OTT(,) (TBSMOS (,) TBmodel (,,U,SSS,SST))

full model with numerous parameters

Ongoing activities

OTT “without model”

OTT(,) (TBSMOS (,) TBmodel ()

CeBAf

1-parameter model, more robust

presented at KP-3, Avila

Homogenization of geophysical conditions

ongoing tests on subsetting to check whether we produce a more robust TB( )

Near future activities

Soon

Salinity inversion

Empirical GMF for full (flat+rough) surface emissivity

L2PP-BEC: modify L2PP to allow specific tests (alternate forward model, minimization procedure,…)