SMOS L2 OS ATBD - ARGANS

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171 ICM-CSIC LOCEAN/SA/CETP IFREMER SMOS L2 OS Algorithm Theoretical Baseline Document Doc: SO-TN-ARG-GS-0007 Issue: 3 Rev: 9 Date: 25 January 2013 Page: 171 where MR4 is the matrix that describes the geometrical transformation plus the Faraday rotation 4.13.1.3. Error budget estimates (sensitivity analysis) The addition of the different modules implies an analysis of the impact of the individual errors on the overall error budget. This was planned in the ESL proposal as WP2600 and expected to be finished by the end of the study. 4.13.2. Practical considerations 4.13.2.1. Calibration and validation The validation of this module can be done by running some tests cases with exactly the same configuration (in terms of sub-models switched on and use of auxiliary data) with the summation module used in the SRS study and the equivalent used by UPC from SEPS, to check that the result is the same 4.13.2.2. Quality control and diagnostics The range of validity of this module comes from the intersection of the corresponding ranges for all sub-models. 4.13.3. Assumption and limitations The module has to be applied to all grid points selected as good for salinity retrieval at the Measurement discrimination. Dependencies table The following table describes the dependencies between modules. In particular, what modules should be applied or not to the different roughness models. In some cases, a switch will be required to allow using or not the module, and therefore to test if using the module is beneficious or not. Roughness model 1 Roughness model 2 Roughness model 3 -2-Scales -SSA - empirical Flat sea Y Y Y
ICM-CSIC LOCEAN/SA/CETP IFREMER SMOS L2 OS Algorithm Theoretical Baseline Document Rough mod 1 Y N N Rough mod 2 N Y N Rough mod 3 N N Y Foam contrib. S S N 172 Doc: SO-TN-ARG-GS-0007 Issue: 3 Rev: 9 Date: 25 January 2013 Page: 172 Galactic noise 1 S (by default) S (by default) Y (by default) Galactic noise 2 S S N Galactic noise 0 S S S Atmos. Effects Y Y Y Bias corr S S S Tranport ground to antenna Y Y Y Sum of contributions Y Y Y Iterative scheme Y Y Y Y = Yes, apply S = Behind a switch N = Not apply
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Table of contents ICM-CSIC LOCEAN/S
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Presence of ice Applying sea ice ma
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Classification of grid point: g Oce
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36 3.5. Outliers detection ICM-CSIC
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52 4.1. Flat sea ICM-CSIC LOCEAN/SA
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