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Cb-TRAM: Tracking and monitoring severe convection from onset over rapid development to mature phase using multi-channel Meteosat-8 SEVIRI data

Zinner, Tobias and Mannstein, Hermann and Tafferner, Arnold (2008) Cb-TRAM: Tracking and monitoring severe convection from onset over rapid development to mature phase using multi-channel Meteosat-8 SEVIRI data. Meteorology and Atmospheric Physics, 101, pp. 191-210. Springer. DOI: 10.1007/s00703-008-0290-y

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Official URL: http://www.springerlink.com/content/5116723837348306/?p=75bb8937e9a0481abf354c00cd17f8b2&pi=6

Abstract

Cb-TRAM is a new fully automated tracking and nowcasting algorithm. Intense convective cells are detected, tracked and discriminated with respect to onset, rapid development, and mature phase. The detection is based on Meteosat-8 SEVIRI (Spinning Enhanced Visible and Infra-Red Imager) data from the broad band high resolution visible, infra-red 6.2 µm (water vapour), and the infra-red 10.8 µm channels. In addition, tropopause temperature data from ECMWF operational model analyses is utilised as an adaptive detection criterion. The tracking is based on geographical overlap between current detections and first guess patterns of cells predicted from preceeding time steps. The first guess patterns as well as short range forecast extrapolations are obtained with the aid of a new image matching algorithm providing complete fields of approximate differential cloud motion. Based on these motion vector fields interpolation and extrapolation of satellite data are obtained which allow to generate synthetic intermediate data fields between two known fields as well as nowcasts of motion and development of detected areas. Examples of the application of Cb-TRAM and a comparison to precipitation radar and lightning data as independent data sources demonstrate the capabilities of the new technique.

Item URL in elib:https://elib.dlr.de/22434/
Document Type:Article
Title:Cb-TRAM: Tracking and monitoring severe convection from onset over rapid development to mature phase using multi-channel Meteosat-8 SEVIRI data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Zinner, TobiasUNSPECIFIEDUNSPECIFIED
Mannstein, HermannUNSPECIFIEDUNSPECIFIED
Tafferner, ArnoldUNSPECIFIEDUNSPECIFIED
Date:2008
Journal or Publication Title:Meteorology and Atmospheric Physics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:101
DOI :10.1007/s00703-008-0290-y
Page Range:pp. 191-210
Publisher:Springer
Status:Published
Keywords:thunderstorm, now-casting, motion vectors, image matching
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:L VU - Air Traffic and Environment (old)
DLR - Research area:Aeronautics
DLR - Program:L VU - Air Traffic and Environment
DLR - Research theme (Project):L - Air Traffic and Weather (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Atmospheric Remote Sensing
Institute of Atmospheric Physics > Cloud Physics and Traffic Meteorology
Deposited By: Zinner, Dr.rer.nat. Tobias
Deposited On:02 Dec 2008
Last Modified:31 Jul 2019 19:16

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