Bilderserie vom 9.1.2008 - Quelle: http://www.goes.noaa.gov


 GOES_11_IR

 GOES_12_IR

 METEO_9_IR

 METEO_7_IR


MTSAT_IR


 GOES_11_VIS


 GOES_12_VIS


METEO_9_VIS


 METEO_7_VIS


MTSAT_VIS

 

 

 

 

 

Anbieter

Adressen

GOES

http://www.orbit.nesdis.noaa.gov/
smcd/opdb/aviation/imgs.html

METEOSAT

http://oiswww.eumetsat.org/
SDDI/cgi/listImages.pl?m=bnw,sa=9,se=0,f=1

METEOSAT

http://www.metoffice.gov.uk/
weather/satellite/index.html

MTSAT

http://www.jma.go.jp/en/gms/

Abgeleitete Produkte zur Hemisphäre 0°. Längengrad


http://oiswww.eumetsat.org/
SDDI/cgi/listImages.pl?
m=prod,sa=9,pr=RGB,c=DUST
 

DUST
The Dust product is an RGB composite based upon infrared channel data from the Meteosat Second Generation satellite. It is designed to monitor the evolution of dust storms over deserts during both day and night.


http://oiswww.eumetsat.org/
SDDI/cgi/listImages.pl?
m=prod,sa=9,pr=RGB,c=FOG
 

FOG / LOW CLOUDS
(NIGHT-TIME)
The Fog / Low Clouds product is an RGB composite based upon infrared channel data from the Meteosat Second Generation satellite. It is designed and tuned to monitor the evolution of night-time fog / low stratus. Other (secondary) applications are the detection of fires, low-level moisture boundaries and cloud classification in general. It should be noted that as the product is tuned for night-time conditions, its use during day-time is very limited.


http://oiswww.eumetsat.org/
SDDI/cgi/listImages.pl?
m=prod,sa=9,pr=RGB,c=AIR

AIRMASS
The Airmass product is an RGB composite based upon data from infrared and water vapour channels from Meteosat Second Generation. It is designed and tuned to monitor the evolution of cyclones, in particular rapid cyclogenesis, jet streaks and PV (potential vorticity) anomalies. Due to the incorporation of the water vapour and ozone channels, its usage at high satellite viewing angles is limited. 


http://oiswww.eumetsat.org/
SDDI/cgi/listImages.pl?
m=prod,sa=9,pr=MPEF,c=MPE

MPE
The Multi-Sensor Precipitation Estimate (MPE) uses an algorithm combining data from the SSM/I instrument on the US-DMSP satellites with images in the Meteosat IR channel. 

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