Satellite-Derived Moisture-Bogusing Profiles for the North Atlantic Ocean

Due to the lack of observational data over oceans, a technique was created which uses meteorological satellite image analysis to better assess the spatial distribution of moisture in the atmosphere. The technique, called moisture bogusing, has been used since the early 1970's by the National Me...

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Bibliographic Details
Main Author: Eddington, Lee W.
Other Authors: PACIFIC MISSILE TEST CENTER POINT MUGU CA GEOPHYSICS DIV
Format: Text
Language:English
Published: 1989
Subjects:
Meteorology
*IMAGE PROCESSING
*MOISTURE
*MARINE ATMOSPHERES
SPATIAL DISTRIBUTION
CLOUDS
NUMERICAL ANALYSIS
METEOROLOGICAL SATELLITES
WEATHER FORECASTING
PROFILES
MATHEMATICAL PREDICTION
VERTICAL ORIENTATION
IMAGES
ERRORS
CLASSIFICATION
MARINE METEOROLOGY
NORTH ATLANTIC OCEAN
CLOUD PHYSICS
ATMOSPHERE MODELS
HUMIDITY
UPPER ATMOSPHERE
ATMOSPHERIC SOUNDING
SOURCES
SATELLITE PHOTOGRAPHY
DATA BASES
MATHEMATICAL MODELS
BOGUSING
MOISTURE BOGUSING
RELATIVE HUMIDITY
SATELLITE METEOROLOGY
PE62435N
WUDN658752
North Atlantic
Online Access:http://www.dtic.mil/docs/citations/ADA207829
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA207829
Description
Summary:Due to the lack of observational data over oceans, a technique was created which uses meteorological satellite image analysis to better assess the spatial distribution of moisture in the atmosphere. The technique, called moisture bogusing, has been used since the early 1970's by the National Meteorological Center (NMC) to improve their model initialization. The technique is used by assigning one of a number of previously computed vertical moisture profiles to different areas on a satellite image, gridding the analysis, and incorporating these profiles into model initialization. A set of 12 vertical profiles of relative humidity for use in satellite bogusing of moisture into numerical weather prediction model initial analysis is presented for the North Atlantic Ocean Region. The profiles are based on a satellite image cloud classification scheme applied to a concurrent data set of satellite images and upper-air soundings. Relative humidity profile composites and statistical significance tests are presented for each cloud category. Sources of error in the compositing process are discussed, and possible improvements are suggested.

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