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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3FCLFDD
Repositorysid.inpe.br/plutao/2013/12.12.17.39.29
Last Update2014:10.10.13.32.42 (UTC) administrator
Metadata Repositorysid.inpe.br/plutao/2013/12.12.17.39.30
Metadata Last Update2018:06.04.23.39.23 (UTC) administrator
Labellattes: 5142426481528206 3 SoaresSilvCampSoei:2013:TwStIn
Citation KeySoaresSilvCampSoei:2013:TwStIn
TitleA two step inverse problem for vertical temperature profile retrieval in cloudy atmosphere using artificial neural networks
Year2013
Access Date2024, May 17
Secondary TypePRE CI
Number of Files1
Size579 KiB
2. Context
Author1 Soares, Patrícia Oliva
2 Silva Neto, Antonio José da
3 Campos Velho, Haroldo Fraga de
4 Soeiro, Francisco José da Cunha Pires
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHC3
Group1
2
3 LAC-CTE-INPE-MCTI-GOV-BR
Affiliation1 Leopoldo Américo Miguez de Mello Research and Development Center (Cenpes), Rio de Janeiro (RJ), Brazil
2 Politechnique Institute (IPRJ), Rio de Janeiro State University (UERJ), Nova Friburgo (RJ), Brazil
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Department of Mechanical Engineering, College of Engineering, Rio de Janeiro State University (UERJ), Rio de Janeiro (RJ), Brazil
Author e-Mail Address1
2
3 haroldo@lac.inpe.br
e-Mail Addressharoldo@lac.inpe.br
Conference NameInternational Congress of Mechanical Engineering (COBEM 2013), 22
Conference LocationRibeirão Preto
Date3-7 Nov. 2013
PublisherABCM
Pages4364-4375
Book TitleProceedings
Tertiary TypePaper
History (UTC)2013-12-12 17:39:30 :: lattes -> administrator ::
2018-06-04 23:39:23 :: administrator -> marcelo.pazos@inpe.br :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsinverse problems
radiative transfer
artificial neural networks
remote sensing
clouds
AbstractA methodology for retrieving vertical temperature profiles in the atmosphere with clouds from radiance measurements made by satellite, using artificial neural networks, is presented. Vertical temperature profiles are important initial conditions for numerical weather prediction models, and are usually obtained from measurements of radiance using infrared channels. Though, when these measurements are performed in a cloudy atmosphere, it is not possible to retrieve the temperature profile with current techniques. It represents a considerable loss of information, since on average 20% of the pixels of the images have clouds. The methodology proposed here consists of a two step inverse problem. The first step is an inverse problem of boundary condition estimation, where the radiance reaching the cloud basis is determined from radiance measured by satellite. The second step consists in determining the vertical temperature profile from the boundary condition estimated in the first step. The results obtained for four test cases show that the methodology produces satisfactory results and has great potential for use, allowing to incorporate information from a wider area of the planet and thus to improve numerical weather prediction models.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > A two step...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W/3FCLFDD
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/3FCLFDD
Languageen
Target File959soares.pdf
User Grouplattes
marcelo.pazos@inpe.br
Reader Groupadministrator
marcelo.pazos@inpe.br
Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/3ESGTTP
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.40 3
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor format isbn issn lineage mark nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url volume
7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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