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 3 sow-003 Due to the large volumes of data that are considered by the GHRSST-PP and the demanding data product delivery SR entry NASR constraints, the GHRSST-PP is designed as a distributed processing system. 3 sow-004 The strategic implementation concept of regional/global task sharing (RGTS) by regional data product assembly centres NASR (RDAC) interconnected by dedicated, fast data connections has been adopted to underpin the practical implementation of the GHRSST-PP data processing system. 3 sow-005 RDAC ingest, quality control and merge together existing L2 satellite and in situ data sources to generate regional area NASR coverage quality controlled data products in realtime. 3 sow-006 Every 6 hours, these data products are consolidated at RDAC and sent to a Global Data Analysis Centre (GDAC) where NASR they are integrated together with other RDAC data streams having an identical data format but covering different geographical areas to provide global coverage data products. 3 sow-007 The Medspiration project will provide a European RDAC service to the GHRSST-PP during 2004-2006 by generating and disseminating European and Atlantic area SST data products according to the GHRSST-PP Detailed Processing Model SYS.0020 ING.0130 (DPM) [AP-1]. 3 sow-008 In addition, Medspiration will serve the direct needs of the European SST user community. SYS.2050 3 1.1 The GHRSST-PP data processing model 3 sow-009 The combined Medspiration DPM1 [AP-1], developed by the International GHRSST-PP Science Team, provides a NASR complete technical description of the data processing tasks required to generate GHRSST-PP data products. 3 sow-010 Before SST data originating from different sources can be properly assimilated into ocean model systems or analysed NASR together to provide new SST data products that capitalise on their synergy, a bias and rms error estimate is required for each [pixel] measurement. This is a fundamental component of the GHRSST-PP processing model. 3 sow-011 Error estimates for each L2 SST measurement are based on the statistical analysis of a match up database (MDB) NASR © 2004 SOC Page 90 of 193
Medspiration MED-SOC-RS-001_1 System Requirements Document Issue F Page Table, fig. Reference ID Text from reference documents SR entry containing satellite and in situ observations. 3 sow-012 A quantitative confidence value is derived that is then used to assign statistical bias and rms. error estimate to each NASR measurement. 3 sow-013 The outputs of this process are L2 pre-processed (L2P) products for each data file ingested by the processor. NASR 3 sow-014 Operational ocean modelling users that have requested [AP-2] this type of SST data product may access L2P data NASR products directly in real time. 3 sow-015 However, the majority of SST data users request [AP-2] complete SST fields, free of gaps caused by clouds, rain or lack of NASR data coverage, at regular intervals of between 6 and 24 hours. 3 sow-016 Some require an estimate of the sub-surface SST field that cannot be directly measured using current satellite techniques NASR 3 sow-017 whereas others require an estimate of the surface skin temperature that is in direct contact with the overlying atmosphere NASR and subject to considerable diurnal variability. 3 sow-018 To address these needs, L2P data are used in an optimal interpolation scheme that is designed to NASR 3 sow-019 (a) account for differences in spatial and temporal sampling characteristics of each data stream, NASR 3 sow-020 (b) account for gaps in coverage due to the presence of cloud, rain or lack of data, NASR 3 sow-021 (c) pre-condition data to account for SST diurnal variability and sensor bias, NASR 3 soo-022 (d) retrieve an estimate of the subsurface temperature field (referred to as the foundation temperature, SSTfnd2). NASR 3 sow-023 In addition, a measure of diurnal variability within the data product time domain will be derived to accompany the SSTfnd NASR estimate 3 sow-024 and an estimate of the skin temperature of the ocean (SSTskin) will be retrieved based on parameterisations. NASR 4 sow-025 L2P and SSTfnd SST products have been designed to satisfy the requirements of operational ocean forecast and NASR prediction systems. 4 1.2 Objectives of the Medspiration project © 2004 SOC Page 91 of 193
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Medspiration â System Requirements Document - Data User Element