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1. Identity statement
Reference TypeBook or Monograph (Book)
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/4AC8HQB
Repositorysid.inpe.br/plutao/2023/12.11.16.18
Last Update2023:12.14.12.17.29 (UTC) lattes
Metadata Repositorysid.inpe.br/plutao/2023/12.11.16.18.20
Metadata Last Update2024:01.02.17.00.38 (UTC) administrator
ISBN9786589535096
Labellattes: 5142426481528206 3 FrançaAlbuCamp:2023:BrInIm
Citation KeyFrançaAlbuCamp:2023:BrInIm
TitleNowcasting using Machine Learning and Deterministic Models: A Brazilian Initiative to improve aviation meteorology
Year2023
Access Date2024, May 17
Secondary TypeLN
Number of Pages282
Number of Files1
Size15039 KiB
2. Context
Author1 França, Gutemberg Borges
2 Albuquerque Neto, Francisco L. de
3 Campos Velho, Haroldo Fraga de
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHC3
Group1
2
3 COPDT-CGIP-INPE-MCTI-GOV-BR
Affiliation1 Universidade Federal do Rio de Janeiro (UFRJ)
2 Universidade Federal do Rio de Janeiro (UFRJ)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2
3 haroldo.camposvelho@inpe.br
PublisherEDUNIFA
CityRio de Janeiro (RJ)
History (UTC)2023-12-14 12:17:40 :: lattes -> administrator :: 2023
2024-01-02 17:00:38 :: administrator -> simone :: 2023
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsAviation meteorology
Nowcasting
Machine learning
Mesoscale meteorological model
AbstractThe present book is a compilation of recent research dedicated to the applications of prediction models for weather nowcasting linked to aeronautical meteorology. Models embrace differential equations for atmospheric dynamics, as well as data-driven approaches. Convective weather, wind, clear air turbulence, visibility, and ceiling are the significant phenomena affecting aviation events investigated by the Cátedra project of aeronautical meteorology. The project is a joint effort between the graduate meteorology program from the Federal University of Rio de Janeiro (UFRJ), the Department of Airspace Control (DECEA) and the Air Force University (UNIFA). The book focuses on aviation operational meteorology and deals with numerical weather forecast simulation results obtained by deterministic and hybrid models. The latter is based on the composition of deterministic modeling and computational intelligence techniques. The studies presented in this publication make use of data from remote sensing sensors, such as satellite, radiometer, ceilometer, and sodar, as well as information from insitu observations for monitoring and developing short-term forecast models. These aim to predict convective weather, surface wind shifts, wind gusts, clear air turbulence, low visibility due to fog, and low ceilings. All these are important for landing and takeoff procedures, as well as for scheduling flights and increasing safety on Brazilian air routes. This volume provides a comprehensive overview of research results, including comments on the currently existing knowledge, and the numerous remaining difficulties in predicting and measuring issues related to aforementioned meteorological events at different time and space scales. It will be helpful to academics with an interest in operational meteorology and aviation as well as weather offices, pilots, meteorologists, aviation experts, scientists, college students, postgraduates, and others. Most of the chapters are produced by Cátedra project´s researchers and published in scientific journals.
AreaCOMP
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/4AC8HQB
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W/4AC8HQB
Languageen
Target FileFRANcA, G.B.pdf
User Grouplattes
Reader Groupadministrator
lattes
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUES5
8JMKD3MGPGW/45823FH
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 documentstage doi e-mailaddress edition editor format issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor seriestitle session shorttitle sponsor subject tertiarymark tertiarytype translator url versiontype volume
7. Description control
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