Meteosat Data Acquisition

1. Meteosat Data Acquisition Matthew Blackett Updated 18/10/2010 Simone Kotthaus

2. Imagery/Data Acquisition Imagery acquired every 15 minutes Cut out for 50 x 50 pixel region over London Extracted data stored on server 137.24.52/I, linked to R:\dt_data\processed\YYYY\MO\DAY\London Same format as MSATYYYYDDD.txt but for 15 min intervals Data Grabbing: scheduled task RS_data, daily at 0411 Data pulled using D:\Roof\RS\RS_dataGrab.m. This pulls the following for each 15 min interval (i.e. 0000, 0015): -msg_HRV_rad_London.hdr -msg_HRV_rad_London.img.gz -msg_London.hdr -msg_London.img.gz -msg_London.txt – the IMPORTANT FILE Grabbed  I:\YYYY\London\ALL\RS\MM\DD Data Processing Scheduled task _RS_dailyFiles, daily at 0422 All 15 minute .txt files merged into one daily file using meteosatGrabber.R. Stored at: I:\YYYY\London\ALL\RS\DailyFiles\ MSATYYYYDDD.txt Where data are missing, rows assigned: -99 • Data Plotting • Scheduled task RS_plot, daily at 0433 • meteosatplot.mplots the data from MSATYYYYDDD.txt for: • radiance • brightness temp • reflectance • I:\YYYY\London\ALL\RS\MM\plots • Calculated and output to text files: • I:\YYYY\London\ALL\RS\DailyFiles\ • DataSuccessRateDailyTEMP.txt– printed to webpage and diagnostic file • DataSuccessRate.txt –appended daily for archival Success format: e.g. Success rate: =32.297 %; Number of NA values: 0 To webpage and diagnostic file: ftp_transferdataQual.m Displayed here % of 96 x 15 min periods successfully retrieved Number of NA values within data

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4. MSATYYYYDDD.txt File Format • 2500 rows of data • Where no data were available, rows of data are assigned -99 Back