1. Identity statement | |
Reference Type | Book or Monograph (Book) |
Site | plutao.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W/4AC8HQB |
Repository | sid.inpe.br/plutao/2023/12.11.16.18 |
Last Update | 2023:12.14.12.17.29 (UTC) lattes |
Metadata Repository | sid.inpe.br/plutao/2023/12.11.16.18.20 |
Metadata Last Update | 2024:01.02.17.00.38 (UTC) administrator |
ISBN | 9786589535096 |
Label | lattes: 5142426481528206 3 FrançaAlbuCamp:2023:BrInIm |
Citation Key | FrançaAlbuCamp:2023:BrInIm |
Title | Nowcasting using Machine Learning and Deterministic Models: A Brazilian Initiative to improve aviation meteorology |
Year | 2023 |
Access Date | 2024, May 17 |
Secondary Type | LN |
Number of Pages | 282 |
Number of Files | 1 |
Size | 15039 KiB |
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2. Context | |
Author | 1 França, Gutemberg Borges 2 Albuquerque Neto, Francisco L. de 3 Campos Velho, Haroldo Fraga de |
Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JHC3 |
Group | 1 2 3 COPDT-CGIP-INPE-MCTI-GOV-BR |
Affiliation | 1 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 Address | 1 2 3 haroldo.camposvelho@inpe.br |
Publisher | EDUNIFA |
City | Rio de Janeiro (RJ) |
History (UTC) | 2023-12-14 12:17:40 :: lattes -> administrator :: 2023 2024-01-02 17:00:38 :: administrator -> simone :: 2023 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | Aviation meteorology Nowcasting Machine learning Mesoscale meteorological model |
Abstract | The 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. |
Area | COMP |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGP3W/4AC8HQB |
zipped data URL | http://urlib.net/zip/8JMKD3MGP3W/4AC8HQB |
Language | en |
Target File | FRANcA, G.B.pdf |
User Group | lattes |
Reader Group | administrator lattes |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/46KUES5 8JMKD3MGPGW/45823FH |
Citing Item List | sid.inpe.br/mtc-m21/2012/07.13.14.49.40 3 |
Host Collection | dpi.inpe.br/plutao@80/2008/08.19.15.01 |
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6. Notes | |
Empty Fields | archivingpolicy 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 |
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7. Description control | |
e-Mail (login) | simone |
update | |
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