MOISTURE DETECTION ABOVE CONVECTIVE STORMS UTILIZING THE METHOD OF BRIGHTNESS TEMPERATURE DIFFERENCES BETWEEN WATER VAPOR AND IR WINDOW BANDS, BASED ON 2008 MSG RAPID SCAN SERVICE DATA
Result description
The BTD method based on the Brightness Temperature Difference between WV and IR window bands has been used in previous studies to document the presence of water vapor above the tops of convective storms. This lower stratospheric moisture (LSM) can eitherbe advected above the storms from remote locations, or injected into the lower stratosphere by the storm itself. Previous studies either addressed cases observed by polar orbiting satellites (thus being only "snapshots"), or presented individual cases documented by MSG/SEVIRI 15-min. data. The present study focuses on this topic using a large dataset of cases collected during the 2008 season, documenting the hypothesized above-storm-LSM by means of MSG Rapid Scan Service 5-min. data. Besides the detection and statistics of LSM based on this dataset, we will also try to determine if any particular storm type tends to generate enhanced LSM, including the life cycle of these storms, and at what time the storm becomes the most efficient at
Keywords
MSGbrightness temperature differenceconvective stormlower stratospheric moisture
The result's identifiers
Result code in IS VaVaI
Alternative codes found
RIV/00020699:_____/10:#0000624
Result on the web
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
MOISTURE DETECTION ABOVE CONVECTIVE STORMS UTILIZING THE METHOD OF BRIGHTNESS TEMPERATURE DIFFERENCES BETWEEN WATER VAPOR AND IR WINDOW BANDS, BASED ON 2008 MSG RAPID SCAN SERVICE DATA
Original language description
The BTD method based on the Brightness Temperature Difference between WV and IR window bands has been used in previous studies to document the presence of water vapor above the tops of convective storms. This lower stratospheric moisture (LSM) can eitherbe advected above the storms from remote locations, or injected into the lower stratosphere by the storm itself. Previous studies either addressed cases observed by polar orbiting satellites (thus being only "snapshots"), or presented individual cases documented by MSG/SEVIRI 15-min. data. The present study focuses on this topic using a large dataset of cases collected during the 2008 season, documenting the hypothesized above-storm-LSM by means of MSG Rapid Scan Service 5-min. data. Besides the detection and statistics of LSM based on this dataset, we will also try to determine if any particular storm type tends to generate enhanced LSM, including the life cycle of these storms, and at what time the storm becomes the most efficient at
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
DG - Atmospheric sciences, meteorology
OECD FORD branch
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Result continuities
Project
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2010 EUMETSAT Meteorological Satellite Conference. Proceedings
ISBN
978-92-9110-089-7
ISSN
1011-3932
e-ISSN
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Number of pages
8
Pages from-to
1-8
Publisher name
EUMETSAT
Place of publication
Darmstadt
Event location
Córdoba
Event date
Sep 20, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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Basic information
Result type
D - Article in proceedings
CEP
DG - Atmospheric sciences, meteorology
Year of implementation
2010