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 Metric for performance assessment 82 WP4-016 • L4 products and HR-DDS L4 granules are produced in a timely manner ATPD 82 WP4-017 • L4 MMR_FR metadata records provided and ingested at MMR and HR-DDSS MMR in real time. MMR and HR-DDS MMR rejection rate < 2% PER.DDS.0020 CTR.0130 82 WP4-018 • OPLOG L4_DPSR records correct and timely ATPD 82 WP4-019 L4 SST data products provide an estimate of the foundation SST (SSTfnd). L4A.0054 82 WP4-020 At 24 hour intervals, called Analysed Product Processing Windows (APPW) defined in Table 2.3.1, global coverage L2P L4A.0020 data products are used in an analysis procedure. 82 WP4-021 Two L4 data products are specified by the GDS: an estimate of SSTfnd at a grid resolution of 1/12° having global coverage NASR and an Ultra High Resolution SSTfnd product at a grid resolution of 1/48° having regional coverage. 82 WP4-022 Each data product will include an estimate of the diurnal variability based on a parameterisation that can be driven using ancillary solar radiation and wind speed data LA4.0040 L4A.0055 82 WP4-023 and will be formatted to a common GDS L4 data format (described in Appendix A1) format 82 WP4-024 will be made available to the user community in real time. DIS.0020 82 WP4-025 The processor takes L2P data files as input together with a L4 configuration file containing threshold and data processor configuration settings. L4A.0030 L4A.0035 82 WP4-026 For each APPW L2P data are first collated for each APPW and grid cell. L4A.0060 82 WP4-027 L4SSTfnd is calculated using analysis procedures for each output grid cell (WP-ID4.2 in Figure 4.1). L4A.0080 82 WP4-028 An estimate of the diurnal variability within a 24 hour period is then derived for each grid cell (WP-ID4.3 in Figure 4.1). L4A.0055 82 WP4-029 Each L4 data product is then formatted as a L4 data file (WP-ID4.4 in Figure 4.1) NASR 82 WP4-030 a separate MMR_FR is prepared and submitted to the MMR (WP-ID4.5 in Figure 4.1). NASR 82 WP4-031 HR-DDS granules are extracted from each L4 data product (WP-ID4.6 in Figure 4.1) NASR © 2004 SOC Page 166 of 193
Medspiration MED-SOC-RS-001_1 System Requirements Document Issue F Page Table, fig. Reference ID Text from reference documents SR entry 82 WP4-032 a HR-DDS MMR_FR prepared and submitted to the HR-DDS MMR system (WP-ID4.7). NASR 82 WP4-033 There are several schemes that have been developed by operational agencies and research establishments (e.g., Reynolds and Smith) that could be used but in each case, the specific method must be adapted to the high resolution L4A.0080 L4A.0095 space scales that the GHRSST-PP is attempting to resolve 82 WP4-034 it is expected that L4 data products will evolve as RDAC gain more experience with high resolution SST measurements. L4A.0090 WP-ID4.1 Collation of Available L2P Data 83 WP4-035 all L2P data eligible for analysis must first be collated. L4A.0030 83 WP4-036 L2P data must then be mapped into the analysis grid. L4A.0050 84 WP4-037 L2P data must first be re-sampled onto the L4FND standard output grid which is defined in Appendix A1.1. NASR 84 WP4-038 A number of input sensors (infrared imagers) have finer spatial resolution than the output grid specification, as shown in L4A.0060 Figure 4.1.1. For these cases the rule will be to average the values of all pixels which overlap the product cell entirely and which have a L2P confidence record Proximity_Confidence value equal to the highest encountered within the cell, to produce a single value 84 Rule 4.1a WP4-039 In the case of a smaller L2P input pixel than the L2FND grid cell size, L4FND data product cell values are derived from an L4A.0060 average of the L2P pixel which completely overlap the product cell and which have a L2P confidence record Proximity_Confidence value equal to the highest encountered within the cell, to produce a single value. 84 Rule 4.1b WP4-040 For input pixels that straddle the boundary between output grid cells, a weighting function may be applied to the input L4A.0060 values according to the degree of coverage of the output grid cell and according to the SSES. 84 Rule 4.1c WP4-041 The SSES value for a re-gridded data set will take the value associated with the Proximity_Confidence value assigned by L4A.0060 Rule 4.1a. 84 WP4-042 When pixels in the input data stream are much larger than those of the SSTFND output grid (e.g., microwave instruments), L4A.0060 as illustrated in Figure 4.1.2, the output grid cell takes the value and confidence data record of the input pixel in which it © 2004 SOC Page 167 of 193
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Medspiration â System Requirements Document - Data User Element