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VIIRS Imagery in NinJoK. Hungershoefer 1, D. Hoese 2, W. Straka III 2, R. Garcia 2, E. Schiffer 2, J. Asmus 1, K. Strabala 2
1Deutscher Wetterdienst, Research and Development, C entral Development Division, Offenbach, GERMANY2Cooperative Institute for Meteorological Satellite Studies (CIMSS), Space Science and Engineering Cent er
(SSEC), University of Wisconsin – Madison, Wisconsin , U.S.A
Contact: Katja Hungershoefer (Katja.Hungershoefer@dw d.de)
NinJo-TIFF hereafter, GeoTIFF imagesand png/jpeg files with special headers.
To provide Suomi NPP VIIRS images to the forecasters via NinJo, the followingprocessing chain was built up at DWD:
The received Suomi NPP raw telemetrydata is converted to a level 0 format withthe NASA Real-time Software Telemetry Processing System (RT-STPS) following the ConsultativeCommitee for Space Data Systems (CCSDS) standard, first.
X-band reception of Suomi NPP
satellite DB data
VIIRS RDR
conform level 0 data
VIIRS SDR
geolocated, calibrated level 1
swath data
RT-STPS Polar2Grid
Polar2grid reprojects the VIIRS SDRs into either an Advanced WeatherInteractive Processing System (AWIPS I and II) compatible netCDF file or a GeoTIFF image. Using the libtiff librarytogether with newly written pythonbindings, it is also possible to obtainNinJo-TIFFs.This last option is applied at DWD to re-project the VIIRS images to a regionslightly larger than Germany. Finally, thegenerated NinJo-TIFFs are submitted to the NinJo servers with DWD‘sautomated file distributor (AFD).
VIIRS Processing Chain at DWD
VIIRS Examples in NinJo
The Deutscher Wetterdienst (DWD)uses the meteorological workstationsystem NinJo for its operational forecasting and warning services. Thejava-based, high-performance client-server architecture allows a highlyconfigurable, layer-based visualisation of almost all available data types likesurface measurements, radio soundings, NWP output, radar and satellite productswithin a multi-window technology. Possible import formats for satelliteimages are multi-resolution, tiled, TIFF images with custom tags, called
The Community Satellite ProcessingPackage (CSPP) transfers these rawdata records (RDR) to Sensor Data Records (SDR) based on Raytheon‘sAlgorithm Development Library (ADL). CSPP was developed by theCooperative Institue for MeteorologicalSatellite Studies (CIMSS), SpaceScience and Engineering Center (SSEC) within the NASA/NOAA Joint Polar Satellite System (JPSS) project. BesideCSPP, CIMSS/SSEC also designed theCSPP VIIRS reprojection softwarePolar2grid .
CSPP AFD
VIIRS SDR
Re-projected VIIRS level 1 data
The single channel VIIRS images can becombined to RGBs in NinJo itself:
The RGB for 05-Feb-2013 at 11:32 UTC shows a strong cold front acrossGermany. Inside this strong convectionzone, the first thunderstorm of the yearoccured. The RGB for 01-Mar-2013 at 12:22 UTC shows a synoptic situation whereNorwegian foehn brings sunshine to Schleswig-Holstein and Mecklenburg-West Pomerania. The cloud-free condition on 04-Mar-2013 shows the remaining snow cover.
Only some fog is observed at the North Friesland coast.
The VIIRS Day-Night band (DNB) is an interesting new channel, because itallows measurements in the visiblespectral range during nighttime. Hence, it offers the possibility to detect lowstratus/fog during the night (see 30-Sep-2012).
The last example (13-Mar-2013) showsa NinJo-screenshot where a VIIRS-RGB is combined with surface and radarmeasurements.