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SMOS-BEC Level 2 Commissioning Activities

SMOS-BEC Level 2 Commissioning Activities. J. Font, C. Gabarró, J. Gourrion, R. Sabia, M. Talone SMOS Barcelona Expert Centre Pg. Marítim de la Barceloneta 37-49, Barcelona SPAIN E-mail: email@icm.csic.es URL: www.smos-bec.icm.csic.es. BEC L2 team. Team coordinator Jordi Font

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SMOS-BEC Level 2 Commissioning Activities

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  1. SMOS-BEC Level 2 Commissioning Activities J. Font, C. Gabarró, J. Gourrion, R. Sabia, M. Talone SMOS Barcelona Expert Centre Pg. Marítim de la Barceloneta 37-49, Barcelona SPAIN E-mail: email@icm.csic.es URL: www.smos-bec.icm.csic.es

  2. BEC L2 team Team coordinator Jordi Font SMOS ocean salinity researchers Carolina Gabarró Jérôme Gourrion Roberto Sabia Marco Talone Supporting experts Joaquim Ballabrera (numerical modeling, data analysis) Marcos Portabella (geophysical variables inversion) Antonio Turiel (statistics, image analysis) Other participants Alessandra Monerris (BEC Director, resources management) M. Emelianov, A. Konstantinidou, M. Rosell (in situ data) J. Martínez, F. Pérez (computing technicians) 2 / 14

  3. Pre-launch ongoing activities

  4. Commissioning (and beyond) activities

  5. Gantt Chart KP0 KP1 KP2 KP3

  6. Pre-launch Activity 1 • L1-like mean patterns computation as a function of the location in the FOV • Hypothesis/Aim: the statistical mean of a L1-like (TB-pol, Stokes vector, emissivity vector, emissivity corrected from flat sea model) parameter averaged over a large number of snapshots should be independent of the location in the FOV in the case of ideal instrument. • Requirements: At fixed FOV location, check incidence angle dispersion is weak and homogeneous by studying the patterns of local incidence angle (mean, std) as function of location in the FOV. • Steps: • For each overpass (L1c file), for all L1c measurements: compute coordinates in the antenna frame (location in the FOV) • For each overpass (L1c file): data selection according to L1c and L2 flags (far from coast, no contaminations, …) • For each overpass (L1c file): compute mean (and std) pattern in the antenna frame • Combine/compare mean patterns from different overpasses • Analysis: If Req=OK, the azimuthal mean (in the nadir-centered frame) of the L1-like patterns may be removed in order to evidence local anomalies.Check that at nadir Tx is equal to Ty. return

  7. Incidence angle isolines Quasi-identical incidence angle points Pre-launch Activity 2 • Quasi-identical incidence angles TBs comparison in the same dwell-line • Hypothesis/Aim: Grid-points containing redundant information at almost equal incidence angle and geophysical conditions; the statistical mean of a L1-like parameter should be independent of the radiometric accuracy and azimuthal effects. • Requirements: None • Steps: • For each overpass (L1c file), for all L1c measurements: compute coordinates in the antenna frame (location in the FOV) • For each grid point and polarization, determine if the incidence angle series is monotonic or not • Data selection according to L1c and L2 flags • For all the duplicated measurements, identify the measurement to compare with: minimum incidence angle difference, interpolated series. • Compute the mean difference as function of the location in the FOV • Analysis: Comparison with pre-launch activity 1. return

  8. Pre-launch Activity 3 • Cross-over points analysis • Aim/Hypothesis: Compare same grid point observed in successive orbits. Take advantage of quasi-identical geophysical conditions. • Requirements: check the availability of adequate points.Check also the distribution of cross-over points within the field of view • Steps: • For each overpass (L1c file), for all L1c measurements: compute coordinates in the antenna frame (location in the FOV) • Select the relevant grid points having observations with time difference lower than 2 hours using an indexation database. • For each grid point and couples of measurement series, select the data according to L1c and L2 flags • For all the duplicated measurements, identify the measurement to compare with: minimum incidence angle difference, interpolated series. • Extract L1c and auxiliary information for the identified measurements • Analysis: impact of location in the FOV. Compare with pre-launch activities 1 and 2 return

  9. Pre-launch Activity 4 • L3 maps of L1-like parameters • Hypothesis/Aim: L3 processing gives insights on spatial error patterns. • Requirements: In case the L1-like parameter is not provided, compute it. • Steps: • Create the list of L1c files corresponding to the temporal window. • For each L1c, create a pseudo-L2 file where the SSS parameter is replaced by a L1-like parameter. • Create L3 Job order + configuration files. • Run the L3 processor. • Analysis: Analyze the geographical patterns and their temporal variation. return

  10. Pre-launch Activity 5 • Surface Tb product • Hypothesis/Aim: Facilitate the comparison with current forward models of emissivity at L-band. Adjustment of empirical models. Comparison with insitu maps. • Requirements: None • Steps: • Extract L1c information. ARGANS tools. • Interpolation of Tx and Ty series at same incidence angle series. • Determination of the optimal interpolation method parameters (h,fit order) • Apply geometrical + Faraday rotation • 1st Stokes: nothing • DP: Faraday from L1c-auxiliar or L2-retrieved • FP: Faraday from L1c-auxiliar or L1c-derived or L2-retrieved • Compute/apply corrections for the atmospheric attenuation and direct emission. • Compute the reflected cosmic/atmospheric/galactic contaminations. • Analysis: return

  11. Pre-launch Activity 6 • Geophysical match-up database development • Hypothesis/Aim: Comparison of L2/L3 salinities with in-situ observations. • Requirements: None • Steps: • Download automatically the in-situ data. • Collocate the data into a SMOS indexation database. • Validation of the in-situ data. • Data selection and analysis. • Analysis: Global analysis and case studies. Particular focus on spatial patterns. return

  12. Pre-launch Activity 7 • Forward model computation tool • Hypothesis/Aim: Detection of large instrumental bias & evaluation of forward models (flat sea + roughness + reflected contaminations) • Requirements: None • Steps: • Read L1c + L2 auxiliary files. ARGANS tools. • Compute forward model, flat sea + roughness. • Compute reflected contaminations / discard contaminated measurements with flags. • Compute direct contaminations (atmospheric attenuation and direct emission) • Rotate the polarization frame: geometrical + Faraday (L1c, L2-retrieved, FP-derived) • Select simulated TBs for comparison with alternate Tx/Ty observations. • Analysis: case studies as well as large ensemble pseudo-error statistics as function of geophysical conditions or location in the antenna frame can help on detecting large bias & improve the models. return

  13. Pre-launch Activity 8 • Connection and computational resources test and maintenance • Hypothesis/Aim: • Requirements: None • Steps: • Test the connection efficiency. • Monitor the data storage capacity. • Keep all the ESA SMOS tools installed at SMOS-BEC updated. • Assess the necessity of installation improvements. • Analysis: return

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