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Water vapor channel interpretation

GOES-12 “water vapor channel” (6.5 µm) imagery on 28 August 2006 showed a rather strong moisture gradient in the southcentral US, oriented along a cold frontal boundary. In the color enhancement applied to an AWIPS water vapor image (above), dry air is denoted by orange to yellow shades, while increasing moisture is... Read More

GOES-12 Water Vapor (6.5 µm) image [click to enlarge]

GOES-12 Water Vapor (6.5 µm) image [click to enlarge]

GOES-12 “water vapor channel” (6.5 µm) imagery on 28 August 2006 showed a rather strong moisture gradient in the southcentral US, oriented along a cold frontal boundary. In the color enhancement applied to an AWIPS water vapor image (above), dry air is denoted by orange to yellow shades, while increasing moisture is indicated by blue to white shades; thick clouds are enhanced with white to green colors. In particular, note the sharp water vapor gradient between the dry atmosphere at Amarillo, Texas (KAMA) and the moist atmosphere at Fort Worth, Texas (KFWD):

Water vapor imagery shows us the distribution of moisture features within the middle to upper troposphere — but the actual altitude of those dry or moist layers that are being detected can vary quite a bit, depending on the temperature/moisture profile of the atmosphere. To assess the altitude and depth of the layer from which the radiation is originating, we can calculate the water vapor weighting function based upon the temperature and moisture profile for that region. The CIMSS GOES Realtime Weighting Functions site allows you to select a particular rawinsonde location to view the corresponding GOES weighting functions for a few of the imager and sounder spectral bands (including the 6.5 µm imager water vapor and the 7.4 µm/7.0 µm/6.5 µm sounder water vapor bands). Note on the plots below that in the dry air at Amarillo TX the peak altitudes of the various imager and sounder water vapor weighting functions is significantly lower than those in the moist atmosphere just 310 miles (500 km) to the southeast at Fort Worth TX:

Amarillo, TX water vapor weighting functions [click to enlarge]

Amarillo, Texas water vapor weighting functions [click to enlarge]

Fort Worth TX water vapor weighting functions [click to enlarge]

Fort Worth, Texas water vapor weighting functions [click to enlarge]

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Hurricane Wilma

Hurricane Wilma rapidly intensified on 19 October 2005, becoming the most intense tropical cyclone ever observed in the Western Hemisphere. GOES-12 10.7 µm IR images (above; QuickTime animation)... Read More

GOES-12 IR images (Animated GIF)

Hurricane Wilma rapidly intensified on 19 October 2005, becoming the most intense tropical cyclone ever observed in the Western Hemisphere. GOES-12 10.7 µm IR images (above; QuickTime animation) revealed cloud top brightness temperatures as cold as -87º C (darker purple enhancement) early in the day; the eye of Wilma also demonstrated a pronounced “trochoidal oscillation” or “looping motion” on the image animation.

GOES-12 visible images (below; QuickTime animation) showed that a “pinhole eye” was associated with Wilma on 19 October — at its peak intensity, the pinhole eye of Wilma was only about 3 miles (5 km) in diameter, the smallest eye ever to be observed in an Atlantic hurricane. Such pinhole eyes are often observed with tropical cyclones that are rapidly intensifying.

GOES-12 visible images (Animated GIF)

A comparison of two GOES-12 visible images (below) shows that Wilma’s pinhole eye on 19 October grew dramatically within 48 hours, becoming much larger on 21 October. The two visible images are displayed using the same magnification and projection, and are at the same time (17:45 UTC) on those two days.

GOES-12 visible images

The track of Hurricane Wilma passed over southern Florida on 24 October. MODIS true color images of that region before (16 October) and after (25 October) the passage of Wilma (below) show that the turbidity of the offshore waters increased dramatically due to the strong winds and heavy wave action associated with the tropical cyclone.

MODIS true color images (Animated GIF)

 

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