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1. Identity statement
Reference TypeePrint (Electronic Source)
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorysid.inpe.br/mtc-m17@80/2007/04.20.13.34
Last Update2007:04.20.13.34.03 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m17@80/2007/04.20.13.34.02
Metadata Last Update2021:02.10.23.13.41 (UTC) administrator
Citation KeyMachadoLimaVila:2007:FoTe
TitleThe use of satellite data for nowcasting: the forTraCC technique
Year2007
Access Date2024, Dec. 26
Type of MediumOn-line
Secondary TypePRE CI
Number of Files1
Size397 KiB
2. Context
Author1 Machado, Luiz Augusto Toledo
2 Lima, Wagner
3 Vila, Daniel
Resume Identifier1 8JMKD3MGP5W/3C9JHMS
Group1 DSA-INPE-MCT-BR
2 DSA-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Cooperative Institute of Climate Studies (CICS/ESSIC)/University of Maryland (UMCP), USA
Author e-Mail Address1 machado@cptec.inpe.br
2 wagner@cptec.inpe.br
e-Mail Addressvaldire@cptec.inpe.br
Alternate PublicationEuropean Conference on Severe Storms, 4th
ProducerInstituto Nacional de Pesquisas Espaciais
CitySão José dos Campos
Stage of Alternate Publicationpublished
ProgressePrint update
History (UTC)2007-04-25 13:06:45 :: estagiario -> administrator ::
2021-02-10 23:13:41 :: administrator -> marciana :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsForTraCC model
AbstractThis study presents the ForTraCC (Forecasting and Tracking of Cloud Cluster) technique using satellite data. ForTraCC is an algorithm for tracking and forecast the physical characteristic of mesoscale convective systems (MCSs) through its whole life cycle using the thermal channel information (10.8 ìm) of geostationary. The cloud cluster detection method is based on a threshold temperature; the morphological and radiative parameters of each MCS are evaluated and tracking trough the life cycle based on overlapping areas of MCSs in successive images. The forecast is built taking into account the life cycle history of each MCS, generating a virtual image for the next 120 minutes. The extrapolation is based on the possible displacement of MCS (considering the position of the center of mass of the cloud cluster in previous time steps) and its size evolution. The ForTraCC technique using GOES 12 data is an operational tool available on line Machado and Laurent (2004) and Vila and Machado (2004) have introduce the basis for the ForTraCC. This extrapolation model uses satellite images to track and forecast mesoscale cloud organization. ForTraCC is an operational model, running at CPTEC and available on line at the CPTEC in the following web URL http://moingatu.cptec.inpe.br/paginas/fortracc/fortracc.php. ForTraCC uses GOES 10 Images, each 15 minutes, to produce extrapolation up to 120 minutes. The objective of this study is to present the ForTraCC models.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > The use of...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/sid.inpe.br/mtc-m17@80/2007/04.20.13.34
zipped data URLhttp://urlib.net/zip/sid.inpe.br/mtc-m17@80/2007/04.20.13.34
Languageen
Target Filev1.pdf
User Groupadministrator
estagiario
marciana
Visibilityshown
5. Allied materials
Next Editionsid.inpe.br/mtc-m17@80/2007/04.25.13.06
Next Higher Units8JMKD3MGPCW/43SRC6S
Citing Item Listsid.inpe.br/bibdigital/2021/01.03.02.10 5
sid.inpe.br/mtc-m21/2012/07.13.14.54.06 3
Host Collectionlcp.inpe.br/ignes/2004/02.12.18.39
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notes
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7. Description control
e-Mail (login)marciana
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