(H-SAF) PROJECT PLAN - Version 2

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H-SAF Project Plan 2.0, October 2007 - Update PP-2.2, 10 April 2008 - Chapter 4 (The precipitation task) Page 50 Front End Satellite Satellite data DATA PROCESSOR LEGENDA Archive of Precipitation Cluster 0 External Parameters Front End Auxiliary Data Calibration and Validation Development Quantitative Precipitation Forecasts and derived products Tuning, Study and Development Operative chain Data acquisition Control Storage 0 End Users Monitoring of output and off line requests Fig. 9 - Main components of the precipitation products generation sub-system. Front End Satellite Satellite data: level 0, 1 a-c DATA PROCESSOR External Parameters 0 of POP Precipitation Observation Production Quantitative Precipitation Forecasts External Parameters 0 of QPF Development and Tuning of POP Calibration and Validation of POP Archive of Precipitation Cluster Precipitation Production Distribution Monitoring and recovery Development and Tuning of QPF Calibration and Validation of QPF Front End Auxiliary Data LEGENDA Study and Development Operative chain Data acquisition Control Off line requests End Users Storage Fig. 10 - Main data flows to, within and from the precipitation products generation sub-system.
H-SAF Project Plan 2.0, October 2007 - Update PP-2.2, 10 April 2008 - Chapter 4 (The precipitation task) Page 51 DMSP ≤ F15 DMSP ≥ F16 NOAA, MetOp NOAA ≤ 17 NOAA ≥ 18, MetOp Meteosat ≥ 8 SSM/I SSMIS AMSU-A AMSU-B MHS SEVIRI Processor Processor Processor Processor Processor Processor SSM/I – SSMIS processing chain AMSU – MHS processing chain LEO/MW + GEO/IR processing chain PR-OBS-1 – Precipitation rate from conical scanners PR-OBS-2 – Precipitation rate from cross-track scanners PR-OBS-3&4– Precipitation rate from blended LEO/MW and GEO/IR Accumulated precipitation processing chain PR-OBS-5 – Accumulated precipitation from blended LEO/MW and GEO/IR Quality control Quality control Quality control Quality control End-users and H-SAF central archive Fig. 11 - Relationships between satellite data and output products. It is observed in the [yellow] boxes that there are four processing chains, as follows: • precipitation rate from conical scanning SSM/I and SSMIS; • precipitation rate from cross-track scanning AMSU and MHS; • precipitation rate by blending MW from LEO and IR from GEO; • accumulated precipitation from blended LEO/MW and GEO/IR. 4.2.2 The data acquisition and pre-processing task (WP-2110) The objective of WP-2110 is to acquire satellite data either by EUMETCast or by direct read-out, as well as ancillary and auxiliary data necessary to generate precipitation products. These data are acquired at CNMCA. Data from R&D satellites are acquired by ISAC, generally from NASA via ftp. As shown in Fig. 11, satellite data acquisition is followed by signal processing for extracting the data from the addressed instrument, arranging the appropriate raw data stream (“Level-0” data), and performing on-line calibration and geolocation (“Level-1” data). These operations are performed by an instrument processor. In this PP-2.0 we consider data acquisition and pre-processing as a single task. The acquisition of Meteosat occurs all time, since the satellite is geostationary. Sun-synchronous satellite, instead, are acquired at intervals. Fig. 12 shows the orbital positions and earth’s coverage of six sunsynchronous satellites presumably to be used for Version-1 products generation in years 2008-2009 (NOAA-17, NOAA-18, MetOp, DMSP F-13, DMSP S-16 and DMSP S-17).
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