Characteristics of Water Vapor Tracked Winds

Frederick R. Mosher

Characteristics of Water Vapor Tracked Winds

University of Wisconsin - Madison

Research output: Contribution to journal › Article › peer-review

Abstract

Wind measurements were obtained by tracking water vapor features on Meteosat and GOES-VAS 6.7 micron water vapor images. While pure water vapor features are fuzzy, there are discernible features which can be tracked. An investigation of preprocessing algorithms designed to bring out the features to be tracked showed that high pass filters tended to bring out the noise in the image, while low pass filters washed out the features. Sliced linear gray scale stretching under operator control gave the best enhancement to the water vapor features.

Original language	American English
Journal	Default journal
State	Published - Aug 20 1981
Externally published	Yes

Keywords

water vapor winds
cloud winds
meteorological satellite measurements
remote sensing of winds

Disciplines

Meteorology

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Characteristics of Water Vapor Tracked WindsFinal published version, 17.9 MBLicense: CC BY

Cite this

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title = "Characteristics of Water Vapor Tracked Winds",

abstract = " Wind measurements were obtained by tracking water vapor features on Meteosat and GOES-VAS 6.7 micron water vapor images. While pure water vapor features are fuzzy, there are discernible features which can be tracked. An investigation of preprocessing algorithms designed to bring out the features to be tracked showed that high pass filters tended to bring out the noise in the image, while low pass filters washed out the features. Sliced linear gray scale stretching under operator control gave the best enhancement to the water vapor features.",

keywords = "water vapor winds, cloud winds, meteorological satellite measurements, remote sensing of winds",

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year = "1981",

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T1 - Characteristics of Water Vapor Tracked Winds

AU - Mosher, Frederick R.

PY - 1981/8/20

Y1 - 1981/8/20

N2 - Wind measurements were obtained by tracking water vapor features on Meteosat and GOES-VAS 6.7 micron water vapor images. While pure water vapor features are fuzzy, there are discernible features which can be tracked. An investigation of preprocessing algorithms designed to bring out the features to be tracked showed that high pass filters tended to bring out the noise in the image, while low pass filters washed out the features. Sliced linear gray scale stretching under operator control gave the best enhancement to the water vapor features.

AB - Wind measurements were obtained by tracking water vapor features on Meteosat and GOES-VAS 6.7 micron water vapor images. While pure water vapor features are fuzzy, there are discernible features which can be tracked. An investigation of preprocessing algorithms designed to bring out the features to be tracked showed that high pass filters tended to bring out the noise in the image, while low pass filters washed out the features. Sliced linear gray scale stretching under operator control gave the best enhancement to the water vapor features.

KW - water vapor winds

KW - cloud winds

KW - meteorological satellite measurements

KW - remote sensing of winds

UR - https://commons.erau.edu/publication/544

M3 - Article

JO - Default journal

JF - Default journal

ER -

Characteristics of Water Vapor Tracked Winds

Abstract

Keywords

Disciplines

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