Medspiration â System Requirements Document - Data User Element

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Medspiration MED-SOC-RS-001_1 System Requirements Document Issue F Page Table, fig. Reference ID Text from reference documents SR entry reduced quality (and are therefore likely to have larger errors) the closer they are to other measurements that have been flagged as erroneous. 55 WP2-139 The GDS specifies separate schemes to derive Proximity_Confidence values for infrared and microwave SST data CFD.0050 streams. 55 WP2-140 For SST data derived from infrared radiometers, sub-pixel cloud and wind speed are the main factors influencing the NASR quality of SST measurements. 55 WP2-141 However, extremely large errors may be associated with atmospheric aerosol contamination due to dust storms or volcanic NASR eruptions that have an immediate and widespread impact. This type of error is not considered in the GDS-v1.0 but will be included in a revised GDS once v1.0 is operating. 55 WP2-142 For microwave SST data streams, the proximity to rainfall, side lobe contamination in the proximity of land, high wind CFD.0100 speed regimes modifying the surface emissivity of seawater in the 6-11 GHz frequency, radio frequency interference and proximity to sea ice are the main factors influencing the Proximity_Confidence value and the quality of SST retrieval. The approach adopted for the GDS-v1.0 is to flag suspect data in close proximity to rain, land, sea ice and at high wind speeds. 55 WP2-143 Bias errors are assigned based on an analysis of the GHRSST-PP MDB. Standard deviation error increments associated CFD.0020 with each error source are statistically derived based on look-up tables generated by the data provider (Remote Sensing Systems) and through analysis of the MDB. 55 WP-ID2.2.1 Derivation of L2P confidence data and assignment of SSES for Infrared SST data sets. 55 WP2-144 Figure 2.2.1.1 shows a functional breakdown diagram of the processing operations required to derive L2P confidence data NASR and assign SSES for infrared SST data files. 55 WP2-145 Initially, a series of quality control checks are performed on pixel-by-pixel bases that are designed to reject suspect data QLC-0045 from the GDS. 55 WP2-146 Proximity confidence values are then derived and SSES are assigned to each measurement. SSES are fully described in see lower down © 2004 SOC Page 146 of 193
Medspiration MED-SOC-RS-001_1 System Requirements Document Issue F Page Table, fig. Reference ID Text from reference documents SR entry WP-ID3. 55 WP-ID2.2.1.1 Cosmetic data test 55 WP2-147 Some SST data streams contain pixel values that are cosmetic rather than measured in order to provide a complete data see WP2-149 product. For example, the ENVISAT ATS_NR__2P data stream may contain cosmetically filled pixels. These data are used to fill in data gaps across the swath following rectification of the curved ground swath made by the conical scan geometry used by the instrument. 56 WP2-148 The purpose of this test is to extract the status of an input SST flag (if such a flag is present in the native input data NASR stream) and to reject all data that have been derived rather than measured by a sensor. 56 The following GDS rule is specified: 56 Rule WP2-149 Rule 2.2.1.1: If an input SST data stream includes information that indicates that a pixel value is cosmetic rather than QLC.0050 2.2.1.1 measured, these data should be rejected from the L2P data file. 56 Figure WP2-150 Functional breakdown diagram of data processing steps to produce L2P data records for infrared satellite SST NASR 2.2.1.1 data files. 56 WP2-151 WP-ID2.2.1.2 Cloud flag test 56 WP2-152 Many input SST data streams provide a flag or a data value indicating that the input pixel is cloudy. The GDS specifies the NASR following rule: 56 Rule WP2-153 Rule 2.2.1.2: If an input SST pixel data value or associated confidence data indicate the pixel to be cloudy, these data QLC.0060 2.2.1.2 should be rejected from the L2P data file. 56 WP-ID2.2.1.3 Sun glint test 56 WP2-154 This test is used to set the L2P confidence data record variable SunGlint defined in Table A1.2.2 in Appendix A1. CFD.0300 56 WP2-155 Depending on the local wind speed and sensor-sun view-geometry, sun-glint areas may be present in satellite SST data NASR streams. Normal sun glint occurs in reflection from the oceans when the sun is behind and to the side of the satellite. © 2004 SOC Page 147 of 193
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Medspiration â System Requirements Document - Data User Element

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Medspiration â System Requirements Document - Data User Element