RGB and Enhanced Channels

• Introduction
• Basic deas behind enhanced satellite images
• Basic idea behind RGBs
• The Natural Colour RGB
• The High Resolution VIS (HRVis) RGB
• The Airmass RGB
• The Dust RGB
• The Day Microphysics RGB
• The 24-hour Micorphysics RGB
• The Severe Storm RGB

The High Resolution VIS (HRVis) RGB

Information received from the three channels that contribute to the RGB combination

HRV	Optical thickness - High resolution (pixel: 1 km at Nadir)
HRV	Optical thickness - High resolution (pixel: 1 km at Nadir) The HRV channel is used in both red and green components to retain the high resolution information
10.8	(Classical IR Window channel) - Information about cloud top temperature

Resulting colors for typical features

White	Thick convective cells
Blue	Cold cloud tops, especially thin cirrus
Yellow	Fog and low cloud

Typical application areas

• Discrimination of cloud systems of different vertical extent
• Recognition of small-scale structures, especially in convective and low clouds/fog

This RGB is very useful for convective systems, as it lets us tell the thick Cb kernel apart from the thin high Cirrus anvil, as well as recognizing the overshooting tops. A convective summer case is presented below: